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Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Safety & Systems Engineering Interns. You'll work on the systems and safety engineering that holds a safety-critical driving product to its requirements — functional safety, behavioral and system safety, systems-engineering process, and requirements/fault analysis for the Aurora Driver. In this role you will Perform safety analysis to identify root causes and common-cause failures across vehicle, system, or software subsystems Build tooling to support safety-analysis or requirements-development processes Analyze test coverage and data to determine whether the system meets its safety and behavioral requirements Explore external and internal data sources to identify previously unknown scenarios or system sensitivities Communicate findings and recommendations clearly to engineering stakeholders Required Qualifications Currently pursuing a Bachelor's, Master's or PhD in Systems Engineering, Automotive Engineering, Aerospace Engineering, or a related field Some exposure to a system where failure had real consequences, even at the coursework or club-project level Familiarity with structured failure-analysis methods (FMEA, fault trees, STPA, or other formal root-cause methods) Regular use of Python for analysis or tooling Experience running an analysis as part of a trade study Ability to reason about evidence and statistics — coverage and confidence, not just pass/fail counts Desirable Qualifications Prior safety-engineering experience (functional safety, ISO 26262-class standards) C++ experience Experience with UML/SysML Compensation The hourly pay rate for this internship in Mountain View is: $58.00 per hour for interns pursuing a master’s degree; and $65.00 per hour for interns pursuing a doctoral degree. The hourly pay rate for this internship in Pittsburgh is: $52.00 per hour for interns pursuing a master’s degree; and $58.00 per hour for interns pursuing a doctoral degree. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Perception & Mapping Interns. You'll work on the models that let the Aurora Driver see and understand the world — object detection and tracking, sensor fusion, semantic segmentation, VLMs, environmental/sensor conditions, and the ML-based map models and data that ground the system. In this role you will Develop onboard and/or offboard perception or mapping models to improve autonomous vehicle performance Process sensor data (camera, radar, lidar) to detect and track objects, actors, signs, traffic lights, and hazards Analyze, root-cause, and help resolve system deficiencies such as false positives/negatives and misclassifications Work with large real-world datasets across training, evaluation, and visualization pipelines Partner with full-time engineers to contribute to the next generation of the perception or mapping system Required Qualifications Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field Strong ML and computer vision fundamentals Hands-on deep learning experience in PyTorch (or comparable), including model training and debugging Proficiency in Python and C++ Comfort working with large datasets across training, evaluation, and debugging pipelines Has built and trained a perception or mapping model end-to-end, not only fine-tuned an existing backbone Desirable Qualifications Experience with VLMs or other pretrained foundation models Prior publication record at a top-tier venue Knowledge of object tracking, Kalman filtering, or Hidden Markov Models Compensation The hourly pay rate for this internship in Mountain View or San Francisco is: $58.00 per hour for interns pursuing a master’s degree; and $65.00 per hour for interns pursuing a doctoral degree. The hourly pay rate for this internship in Pittsburgh is: $52.00 per hour for interns pursuing a master’s degree; and $58.00 per hour for interns pursuing a doctoral degree. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Perception & Mapping Interns. You'll work on the models that let the Aurora Driver see and understand the world — object detection and tracking, sensor fusion, semantic segmentation, VLMs, environmental/sensor conditions, and the ML-based map models and data that ground the system. In this role you will Develop onboard and/or offboard perception or mapping models to improve autonomous vehicle performance Process sensor data (camera, radar, lidar) to detect and track objects, actors, signs, traffic lights, and hazards Analyze, root-cause, and help resolve system deficiencies such as false positives/negatives and misclassifications Work with large real-world datasets across training, evaluation, and visualization pipelines Partner with full-time engineers to contribute to the next generation of the perception or mapping system Required Qualifications Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field Strong ML and computer vision fundamentals Hands-on deep learning experience in PyTorch (or comparable), including model training and debugging Proficiency in Python and C++ Comfort working with large datasets across training, evaluation, and debugging pipelines Has built and trained a perception or mapping model end-to-end, not only fine-tuned an existing backbone Desirable Qualifications Experience with VLMs or other pretrained foundation models Prior publication record at a top-tier venue Knowledge of object tracking, Kalman filtering, or Hidden Markov Models Compensation The hourly pay rate for this internship in Mountain View or San Francisco is: $58.00 per hour for interns pursuing a master’s degree; and $65.00 per hour for interns pursuing a doctoral degree. The hourly pay rate for this internship in Pittsburgh is: $52.00 per hour for interns pursuing a master’s degree; and $58.00 per hour for interns pursuing a doctoral degree. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Perception & Mapping Interns. You'll work on the models that let the Aurora Driver see and understand the world — object detection and tracking, sensor fusion, semantic segmentation, VLMs, environmental/sensor conditions, and the ML-based map models and data that ground the system. In this role you will Develop onboard and/or offboard perception or mapping models to improve autonomous vehicle performance Process sensor data (camera, radar, lidar) to detect and track objects, actors, signs, traffic lights, and hazards Analyze, root-cause, and help resolve system deficiencies such as false positives/negatives and misclassifications Work with large real-world datasets across training, evaluation, and visualization pipelines Partner with full-time engineers to contribute to the next generation of the perception or mapping system Required Qualifications Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field Strong ML and computer vision fundamentals Hands-on deep learning experience in PyTorch (or comparable), including model training and debugging Proficiency in Python and C++ Comfort working with large datasets across training, evaluation, and debugging pipelines Has built and trained a perception or mapping model end-to-end, not only fine-tuned an existing backbone Desirable Qualifications Experience with VLMs or other pretrained foundation models Prior publication record at a top-tier venue Knowledge of object tracking, Kalman filtering, or Hidden Markov Models Compensation The hourly pay rate for this internship in Mountain View or San Francisco is: $58.00 per hour for interns pursuing a master’s degree; and $65.00 per hour for interns pursuing a doctoral degree. The hourly pay rate for this internship in Pittsburgh is: $52.00 per hour for interns pursuing a master’s degree; and $58.00 per hour for interns pursuing a doctoral degree. Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Simulation Engineering Interns. You'll work on the simulation systems that let Aurora develop and validate the Driver without driving every mile — sensor simulation (rendering, path tracing, USD scene representation) and/or behavioral simulation (actor and world modeling in closed loop). In this role you will Build or extend simulation, rendering, or physics-modeling components used to validate the Aurora Driver Work in C++ (with Python for tooling) on performance-sensitive simulation code Reason about 3D math and geometry (sensor sim) or vehicle dynamics and behavior modeling (behavioral sim) Validate simulation output against measured or ground-truth data rather than relying on visual inspection alone Profile and improve performance of simulation pipelines running at scale Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Graphics, Physics, or a related field Has built a simulator, renderer, physics engine, game engine, or robotics simulation not just used an existing one Personal or research-project experience with C++ Depth in at least one relevant specialization (rendering/ray tracing, GPU programming, physically-based materials/optics, lidar/radar/signal processing, vehicle dynamics/controls, motion planning/agent behavior, real-time simulation architecture, 3D content pipelines, or ML for 3D) Has verified a simulation or model's correctness systematically, not just by visual inspection Desirable Qualifications Prior internship or production-level C++ experience Experience with GPU-accelerated raytracing or texturing Compensation The hourly pay rate for this internship in Mountain View or San Francisco is: $52.00 per hour for interns pursuing a bachelor’s degree; and $58.00 per hour for interns pursuing a master’s degree Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Data & ML Platform Engineering Intern. You'll join one of the teams building the infrastructure that makes Aurora's ML work at scale — data pipelines, ML platforms, labeling and data-engine systems, distributed compute, and the cloud tooling that turns raw sensor and behavioral data into model-ready datasets. In this role you will Build and maintain data pipelines and workflow automation that turn raw fleet and sensor data into model-ready datasets Design or extend ML platform tooling (labeling systems, data engines, distributed compute) used across autonomy teams Use cloud infrastructure (AWS/GCP) to scale data ingestion, storage, and processing workloads Partner with ML engineers to understand downstream model requirements and translate them into pipeline/platform design decisions Instrument systems for observability and help harden a prototype into something that can run in production Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field Strong programming skills in Python and/or Golang Working knowledge of data pipeline/ETL concepts and basic distributed systems tradeoffs (e.g. CAP theorem) Experience with cloud platforms (AWS or GCP) Some applied exposure to ML, robotics, maps/geospatial systems, or a comparable domain Hands-on experience building or extending a backend system or pipeline with real scale-up/scale-out requirements Desired Qualifications Experience with parallel execution / distributed processing frameworks (e.g. Spark, Ray, Dask) Fluency with AI/agentic coding tooling Prior internship or industry experience with production data infrastructure Compensation The hourly pay rate for this internship in Mountain View or San Francisco is: $52.00 per hour for interns pursuing a bachelor’s degree; and $58.00 per hour for interns pursuing a master’s degree The hourly pay rate for this internship in Pittsburgh is: $47.00 per hour for interns pursuing a bachelor’s degree; and $52.00 per hour for interns pursuing a master’s degree Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Data & ML Platform Engineering Intern. You'll join one of the teams building the infrastructure that makes Aurora's ML work at scale — data pipelines, ML platforms, labeling and data-engine systems, distributed compute, and the cloud tooling that turns raw sensor and behavioral data into model-ready datasets. In this role you will Build and maintain data pipelines and workflow automation that turn raw fleet and sensor data into model-ready datasets Design or extend ML platform tooling (labeling systems, data engines, distributed compute) used across autonomy teams Use cloud infrastructure (AWS/GCP) to scale data ingestion, storage, and processing workloads Partner with ML engineers to understand downstream model requirements and translate them into pipeline/platform design decisions Instrument systems for observability and help harden a prototype into something that can run in production Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field Strong programming skills in Python and/or Golang Working knowledge of data pipeline/ETL concepts and basic distributed systems tradeoffs (e.g. CAP theorem) Experience with cloud platforms (AWS or GCP) Some applied exposure to ML, robotics, maps/geospatial systems, or a comparable domain Hands-on experience building or extending a backend system or pipeline with real scale-up/scale-out requirements Desired Qualifications Experience with parallel execution / distributed processing frameworks (e.g. Spark, Ray, Dask) Fluency with AI/agentic coding tooling Prior internship or industry experience with production data infrastructure Compensation The hourly pay rate for this internship in Mountain View or San Francisco is: $52.00 per hour for interns pursuing a bachelor’s degree; and $58.00 per hour for interns pursuing a master’s degree The hourly pay rate for this internship in Pittsburgh is: $47.00 per hour for interns pursuing a bachelor’s degree; and $52.00 per hour for interns pursuing a master’s degree Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

Who We Are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. What We Are Looking For We're searching for Summer 2027 Core Autonomy Software Interns. You'll work on the low-level software that runs the Aurora Driver reliably in real time, onboard compute and robotics middleware, system software architecture, autonomy integration, and real-time routing/graph systems. In this role you will Write and integrate C++ software that runs onboard the Aurora Driver under real-time constraints Work on system software architecture, middleware, or autonomy integration depending on team placement Reason about latency, memory, and reliability tradeoffs rather than just passing unit tests Use performance analysis and instrumentation tools to diagnose real system behavior Partner with full-time engineers on production-quality code, not prototype-only work Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical/Computer Engineering, or a related field Strong C++ and general systems-programming skills Some real-time and/or embedded systems exposure Working knowledge of graph algorithms and core data structures Ability to reason about latency, memory, and reliability constraints Experience targeting a Linux-like development environment Desirable Qualifications Experience with Linux kernel internals and/or kernel driver development Experience with performance analysis tools (e.g. eBPF-based tooling) Compensation The hourly pay rate for this internship in Mountain View is: $52.00 per hour for interns pursuing a bachelor’s degree; and $58.00 per hour for interns pursuing a master’s degree The hourly pay rate for this internship in Pittsburgh is: $47.00 per hour for interns pursuing a bachelor’s degree; and $52.00 per hour for interns pursuing a master’s degree Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration, empathy, and our ability to lead effectively. As a result, Aurorans are expected to work from the office at least 3 days per week, with some roles requiring more frequent in-office presence, up to 5 days per week, based on operational needs. Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom. Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what. Our commitment to inclusion Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy. Show more

About The Team Zillow's Data Science and Analytics organization turns complex data into insights that inform decisions across the company. As an intern, you'll join the team and explore how data can help us understand customer behavior, measure outcomes, and find ways to improve the customer experience. You'll work with data scientists and cross-functional partners, building your analytical skills while bringing a fresh perspective to real business questions. Interns may focus on areas such as: Business: build reporting, models, and insights that help specific Zillow organizations assess current initiatives and find opportunities to innovate. Marketing: develop experimentation-first strategies for consumer and business marketing, and measure how each channel performs. Product: analyze how people use our web and app products so we can deliver a better experience for everything home. Pricing: help develop pricing strategies that deliver strong value for customers such as Premier Agents, lenders, and landlords. Tools: turn the large volume of data Zillow collects every day into data products that help partners make informed decisions. About The Role At Zillow, interns do meaningful work that contributes to the business from day one. As a Data Science Intern, you’ll apply the quantitative and programming skills you’re building in school to a scoped, real-world project. With guidance from your manager and team, you’ll work through the analytical process—from defining a question and preparing data to interpreting results and sharing recommendations. Our nine-week summer internship program, running June 14 through August 13, 2027, gives students the opportunity to bring their ideas and perspectives to real projects alongside Zillow teams. Interns build hands-on experience, connect with mentors and leaders, and take part in learning and community experiences with their intern cohort. Our 2027 internships are based in Seattle and follow a hybrid schedule, with interns generally working together in person Tuesday through Thursday. Eligible interns will receive a stipend to help offset summer housing and relocation costs. During your internship, you will have opportunities to: Partner with your manager and stakeholders to turn an open-ended business question into an analytical plan with clear goals and deliverables. Use SQL and Python/R to explore, prepare, and validate data, documenting assumptions and flagging data-quality issues. Analyze patterns in customer behavior or business performance to uncover insights and potential opportunities. Apply statistical methods, such as regression, hypothesis testing, or experiment analysis (including A/B tests and pilots), as fits your project. Help define and interpret metrics that connect your analysis to customer and business outcomes, and support ongoing performance tracking. Create clear visualizations and reproducible analyses that make your findings useful to others. Work with engineers, product managers, marketers, and other teammates to build a shared approach to analyzing and communicating insights. Communicate your approach, results, recommendations, and limitations to technical and nontechnical audiences. Document your work and deliver a final presentation and handoff so the team can build on your findings. This role has been categorized as an Office position. “Office” employees regularly work at an existing ZG corporate office for approximately 80 to 100 percent of their time each month. Employees must live within reasonable commuting distance of their designated ZG office. ZG has not defined a reasonable distance, and expects employees will use judgment in determining this for themselves and understand the implications re: time commitment and cost of daily commute. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $104,000.00 - $166,000.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. Actual amounts will vary depending on experience, performance and location. Who you are Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, Finance, or a related quantitative field. You’re targeting a graduation date before December 2028. Have a foundation in probability, statistics, and data analysis through coursework, research, or projects. Can use Python or R, or a similar programming language, to manipulate data and perform analysis. Have familiarity with SQL and relational data, or a demonstrated ability and willingness to learn. Enjoy asking questions, investigating patterns, and bringing structure to ambiguous problems. Approach analysis thoughtfully: you check assumptions, validate results, and distinguish what the data supports from what remains uncertain. Can explain your thinking clearly and collaborate with people who bring different technical and non-technical backgrounds. Are curious about using AI tools to support your work while maintaining independent judgment, validating outputs, and following data-handling guidelines. Experience from coursework, academic research, student organizations, and personal projects is welcome. Prior professional data science experience is not required. Helpful, but not required: Exposure to A/B testing, experimental design, or causal inference. Experience with data visualization tools or libraries. Familiarity with regression, predictive modeling, or other statistical learning methods. Experience organizing reproducible work using notebooks, version control, or clear technical documentation. Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality. How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise. Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Show more

Company Highmark Health Job Description Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role. The Summer 2027 Predictive Modeling & Data Science Graduate Internship provides graduate students with an opportunity to gain hands-on experience developing advanced analytics and data science solutions that support meaningful business decisions, processes, and strategic initiatives. This internship is designed for students who are passionate about using data, statistics, and machine learning to solve complex problems and translate analytical findings into actionable business insights. As a member of the advanced analytics team, the intern will work alongside experienced data scientists, analysts, and business partners to help design, develop, and evaluate analytical solutions that address real-world business challenges. Participants will gain practical experience applying statistical and machine learning methodologies, developing predictive models, analyzing complex datasets, and visualizing results to support data-driven decision-making. The program provides exposure to the end-to-end analytics lifecycle, from understanding a business question and exploring available data through model development, evaluation, visualization, and delivery of findings. Interns will also have opportunities to explore new data sources, analytical tools, and emerging techniques while contributing to next-generation analytics initiatives. Typical responsibilities include conducting exploratory and statistical analysis, supporting predictive model development, preparing and transforming data, evaluating model results, creating data visualizations, researching new analytical approaches, and communicating findings and recommendations to technical and business audiences. Through mentorship, cross-functional collaboration, and project-based learning, participants will strengthen their technical, analytical, problem-solving, and storytelling skills while building a strong foundation for a career in data science and advanced analytics. Summary Of Job Responsibilities This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands-on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business. Required Qualifications Bachelor’s degree. Pursuance of a graduate degree full or part-time in an accredited college or university. Preferred Qualifications Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or another related quantitative discipline. Coursework, research, or project experience involving predictive modeling, machine learning, statistical analysis, or advanced analytics. Experience working with large or complex datasets through academic research, internships, professional experience, or graduate coursework. Familiarity with programming and analytical tools commonly used for data science and statistical modeling. Experience with data preparation, exploratory data analysis, feature engineering, and model evaluation. Experience developing data visualizations and presenting analytical findings to diverse audiences. Knowledge of machine learning concepts, statistical modeling techniques, and predictive analytics methodologies. Ability to translate business questions into structured analytical approaches and actionable recommendations. Interest in exploring emerging data science technologies, analytical techniques, and new sources of data. Demonstrated initiative, creativity, and curiosity when approaching complex analytical problems. Essential Job Functions Communicate effectively. This position displays effective communication skills while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems. Under supervision, provide professional services as appropriate to the day-to-day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments. Undertake and/or participate in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization. Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability. As specifically requested by management, conducts research and reporting inclusive of recommendations or alternative proposals for action. Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit. Perform miscellaneous job-related duties as assigned. Disclaimer The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum Pay Range Maximum Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. California Consumer Privacy Act Employees, Contractors, and Applicants Notice Show more