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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

Basic Qualifications Candidates should demonstrate a thorough understanding of engineering technology. Engineering Interns must be enrolled in an accredited degree program in Computer Engineering, Systems Engineering, Software Engineering, Electrical Engineering, Mechanical Engineering or other related scientific or technical discipline with a preference for a standing of a sophomore or higher. Due to the nature of work performed within our facilities, U.S. citizenship is required. CLEARANCE REQUIREMENTS: [Department of Defense Secret security clearance is preferred at time of hire.] Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities For This Position REPRESENTATIVE DUTIES AND TASKS: Apply your classroom-learned skills to a program supporting the defense of our country. GDMS has an immediate opening for an Engineering Intern to join our team. The position provides an opportunity to work on projects that support some of our nation’s fundamental defense services. GDMS employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions. The selected candidate will work with collaborative teams on various technical projects associated with our core mission. In addition to receiving a competitive wage, the Engineering Intern will enhance their skill set by working among a talented and technically accomplished group of colleagues. Interns will also enjoy a flexible work environment where contributions are recognized and rewarded. What sets you apart: Clear understanding of engineering concepts, principles, theories, and technical standards Creative thinker with ability to grasp and apply new information quickly and handle increasing responsibilities with growing complexity Team player who thrives in collaborative environments and revels in team success Commitment to ongoing professional development for yourself and others MBSE experience is a plus! Preferred knowledge of SysML and experience with Cameo or similar Our Commitment to You: An exciting career path with opportunities for continuous learning and development Research oriented work, alongside award winning teams developing practical solutions for our nation’s security Flexible schedules with every other Friday off work, if desired (9/80 schedule) Competitive benefits, including flex time off See more at gdmissionsystems.com/careers/why-work-for-us/benefits Workplace Options: This position is 100% on-site and you will be part of the Manassas, Virginia facility. Target salary range: USD $0.01/Yr. - USD $0.02/Yr. This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Company Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Show more

Position Overview Join the team building computer vision applications for the construction trades. Contractors spend dozens of hours per project doing takeoffs by hand. We're automating that with models that need to perform reliably on messy, real-world drawings. As a CV/ML Engineering Intern, you'll work on real production problems alongside our ML team, not a side project. You'll own a scoped piece of work end-to-end, get hands-on mentorship from experienced engineers, and see your models reach customers who use them daily. Responsibilities Build and improve CV models for detection, segmentation, or OCR on construction drawings, with guidance from a mentor on the ML team Contribute to our pipelines: data preparation, labeling workflows, training runs, and evaluation Run experiments, measure results, and clearly communicate what worked and what didn't Dig into real customer data to find failure modes and propose fixes Work with fullstack and product engineers to help get your work into production Read relevant research and test ideas that could improve our models Desired Attributes Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field Solid foundation in deep learning and computer vision through coursework, research, or projects Hands-on experience training models in PyTorch (or similar), whether in class, research, a prior internship, or personal projects Strong Python skills Curiosity about messy, real-world data: scanned, handwritten, imperfect High ownership: you ask good questions, then run with the answers Bonus: experience with document AI, OCR, or vision-language models Details 12-16 weeks, full-time, in person in the SF Bay Area Paid internship: $55/hr Strong interns may be considered for full-time roles We value learning speed and follow-through. If you want to build models that customers trust with high-stakes decisions, we'd love to talk. Come build with us! Show more

We’re looking for passionate engineering students for a hands-on UWB Radar Modem internship combining signal processing, ML, algorithm development, simulation, experimental validation, and real-hardware prototyping. Your Responsibilities Research, develop, and evaluate signal-processing and ML algorithms for UWB Radar applications. Build simulation, algorithm-development, and data-analysis tools. Design and conduct laboratory experiments, collect radar measurements, and analyze system performance. Develop tools for measurement automation, data collection, and chip/system validation. Prototype and demonstrate new sensing capabilities using real-world radar data and hardware. Document results and communicate findings through technical reports, presentations, and demonstrations. Collaborate with engineers across systems, algorithms, RF, hardware, software, and applications teams. Your Profile Minimum Qualifications Currently pursuing a Master’s or Ph.D. in Electrical Engineering or Computer Engineering Strong foundation in digital signal processing, signals and systems, communication theory, linear algebra, probability, or related areas. Programming experience with Python, MATLAB, C/C++, or similar languages. Ability to translate mathematical concepts into simulations and working implementations. Strong analytical and problem-solving skills. Clear written and verbal communication skills and the ability to work effectively in a collaborative engineering environment. Nice to Have Experience in one or more of the following is a plus: Machine learning applied to sensing or signal-processing problems Embedded or real-time signal-processing implementation Laboratory measurements, RF test equipment, or hardware experimentation. Research, coursework, or technical projects in signal processing, radar, wireless systems, sensing, machine learning, localization, or related areas. Prior UWB or radar experience is not required. Strong fundamentals and demonstrated ability to solve challenging technical problems are equally valuable. Location & Internship Eligibility This role is based in our Irvine, California office. Interns should expect to work on-site five days per week to enable close collaboration and hands-on laboratory work. The internship is 40 hours per week. Candidates must meet NXP's internship eligibility requirements, including applicable student-status and graduation-date requirements. Why Join Us? Work on real technology: Contribute to UWB Radar and sensing technologies for industrial IoT, robotics, mobile, and emerging applications. Solve hard problems: Apply signal processing, ML, mathematical modeling, and experimentation to problems where the solution is not always known. Build and test: Go beyond simulation by working with radar hardware, collecting real-world data, and developing working prototypes. Learn from experts: Work alongside engineers with expertise spanning UWB, radar, RF, algorithms, hardware, software, and ML. Make an impact: Contribute to technology investigations, algorithms, prototypes, and future product concepts. In order to be considered for a summer internship with NXP you must be returning to school or graduating at the conclusion of the internship term. If you are graduating prior to July 2027 please apply to Entry Level full-time roles. The base salary range for this position is as mentioned below per year. We also provide competitive benefits, incentive compensation, and/or equity for certain roles. Company benefits include health. dental, and vision insurance. 401(k), and paid leave. Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs. This base pay range is specific to California and is not applicable to other locations. A reasonable estimate of the base salary range as of the date of this posting is: $64,400 to $109,800 annually More information about NXP in the United States... NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals. Show more

Date Posted: 2026-10-26 Country: United States of America Location: US-RI-MIDDLETOWN-201 ~ 127 John Clarke Rd ~ BBN MIDDLETOWN, Ste 3 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do: RTX BBN Technologies, a high-tech research & development company, seeks a summer 2027 intern looking to support technical and program management staff while learning valuable workplace skills. They would be a creative self-starter that is organized, hands-on, and people-centered to fill multiple introductory roles in our Physical Sciences & Systems (PS2) business unit. This position is for a current or recent STEM college student with a general background in computer software and/or hardware development. Additional background in electrical or mechanical engineering, physics/acoustics, mathematics, and/or signal processing is highly desired. A successful individual possesses the ability to work both independently as well as collaboratively with the product development, test, and program management teams to perform various low-level tasks. The candidate shall have the desire and aptitude to further develop their current skill set through active participation in a professional engineering product development and test environment. Qualifications You Must Have: Must be pursuing Bachelor’s or Advanced degree in STEM and actively enrolled through the completion of the internship/co-op session. Qualifications We Prefer: Experience doing software development Technical background and interests Experience using Atlassian products including Jira, Confluence, and Bitbucket Experience with Linux Operating Systems Ability to obtain an active security clearance What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More &

About GlobalFoundries GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, powerefficient and highperformance solutions for highgrowth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability. For more information, visit www.gf.com. Internship Program Overview Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives. Summary Of Role GlobalFoundries is seeking a curious and motivated AI/ML Systems Engineering Intern to characterize machine learning workloads and analyze how their compute and memory demands map to hardware resources. Working with experienced hardware and software engineers, the intern will build practical skills in performance experimentation, analytical modeling, and clear technical communication. Essential Responsibilities Include Run and interpret performance experiments for AI/ML workloads, including classical inference pipelines and modern model architectures, and document observations using reproducible analysis methods. Build analytical models to estimate throughput, latency, utilization, operational intensity, and memory bandwidth requirements, and identify likely compute or memory bottlenecks. Collaborate with hardware and software engineers to connect workload behavior with architectural and implementation decisions, including cache, memory subsystem, runtime, and compiler considerations. Present findings through concise reports, visualizations, and technical discussions, and grow toward independent ownership of a defined workload characterization study during the internship. Other Responsibilities Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs. Required Qualifications Education – At least a sophomore at time of application and actively pursuing a Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, or related field through an accredited degree program during the time of internship. Must have at least an overall 3.0 GPA and be in good academic standing. Coursework or project experience applying linear algebra, probability, numerical analysis, or related mathematical methods to engineering or computing problems. Working understanding of computer architecture concepts such as cache hierarchies, memory bandwidth, and CPU pipeline fundamentals. Experience using Python and data analysis tools such as NumPy, pandas, matplotlib, or similar. Language Fluency - English (Written & Verbal) Travel - Up to 10% Ability to work at least 40 hours per week during the internship. Preferred Qualifications Prior related internship or co-op experience Demonstrated prior leadership experience in the workplace, school projects, competitions, etc. Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making. Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity. Strong written and verbal communication skills Strong planning & organizational skills Exposure to PyTorch or TensorFlow and concepts such as FLOP counting, operator-level profiling, or the roofline model. Exposure to compilation, intermediate representations, or AI compiler toolchains such as MLIR, IREE, TVM, or similar. #InternshipProgramUS Expected Salary Range $20.00 - $40.00 Expected Salary Range $0.00 - $0.00 The exact Salary will be determined based on qualifications, experience and location. If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations. GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law 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 Full Stack Engineering Interns. You'll work on the product layer of Aurora's autonomy — customer apps, operator interfaces, and real-time visualizations that make a self-driving freight system legible, trustworthy, and usable. In this role you will Design, build, and ship features across the front end and back end of a customer-facing or internal operator application Work with modern web technologies (React, TypeScript) and, depending on team, real-time graphics (Three.js, WebGL) or cloud services Incorporate real user or stakeholder feedback into iterative product changes Use AI-native tooling (LLMs, agents, tools like Claude Code) as part of your normal engineering workflow Take ownership of a project from concept through deployment Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field Has shipped a web application that real users used Working experience with TypeScript and React (or a comparable modern web framework) Solid CS fundamentals Can describe the full request/response data flow for loading a web page Judgment about when and how to use AI coding tools without outsourcing debugging or critical thinking Desirable Qualifications Three.js or other real-time graphics/WebGL experience Experience with backend services, databases, caching, or authentication beyond a static site 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

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 Full Stack Engineering Interns. You'll work on the product layer of Aurora's autonomy — customer apps, operator interfaces, and real-time visualizations that make a self-driving freight system legible, trustworthy, and usable. In this role you will Design, build, and ship features across the front end and back end of a customer-facing or internal operator application Work with modern web technologies (React, TypeScript) and, depending on team, real-time graphics (Three.js, WebGL) or cloud services Incorporate real user or stakeholder feedback into iterative product changes Use AI-native tooling (LLMs, agents, tools like Claude Code) as part of your normal engineering workflow Take ownership of a project from concept through deployment Required Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field Has shipped a web application that real users used Working experience with TypeScript and React (or a comparable modern web framework) Solid CS fundamentals Can describe the full request/response data flow for loading a web page Judgment about when and how to use AI coding tools without outsourcing debugging or critical thinking Desirable Qualifications Three.js or other real-time graphics/WebGL experience Experience with backend services, databases, caching, or authentication beyond a static site 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

Description Internally, this position is known as a Software Support Analyst. As a Veson Nautical Software Support Analyst you will provide technical support for the world’s leading developer of commercial maritime shipping software. You will have a deep understanding of our customer’s workflow and processes and will work independently and in collaboration to research and troubleshoot issues and implement appropriate solutions. You will assist clients via phone, email, web sessions, and in person. You will manage and document daily reported issues in our bug tracking system. You will collaborate with consulting and project management resources to execute client engagements. In addition, you will be responsible for identifying and driving business development opportunities for existing customers. As an expert in our products and client profiles, you will drive internal and external communications and information sharing. You will put your excellent writing skills to work to document client profiles and knowledge base content. Responsibilities Essential Duties and Requirements Become subject matter expert on commercial maritime industry and on Veson software products Handle support inquiries for Veson customers from creation to resolution in a timely manner, with quality, according to internal processes Collaborate independently and within teams to diagnose technical issues Navigate and execute within our Atlassian tool sets JIRA Service Desk, JIRA Software, and Slack Proactively address customer concerns and meet or exceed customer needs Manage escalation of all priority issues within the business working closely with Product, Development, and Infrastructure resources Documentation of solutions, customer information, and proactive knowledge content Establish and maintain relationships with key end users and business partners Regularly communicate with management, both verbally and in writing, on status of initiatives in a professional and understandable manner Communicate with customers at all levels of the organization Qualifications At least one of the three following criteria should apply to you: 1 year + of in-house superuser or enterprise software applications support experience; ideally ERP, accounting, operations or finance related BSc/MSc level Maritime industry related studies Maritime operations related experience Plus BSc Degree, relevant related degree or advanced diploma in an Economics, Finance, IT, Maritime, Business or Engineering related subject Proven ability to proactively address customer concerns and exceed expectations Enjoys working with software and computers and ideally a working knowledge of Windows Server and Microsoft SQL Server Strong written and oral communication skills Fluent Greek and English language skills (Additional languages welcome!) Demonstrated planning and organisational skills Analytical thinking and attention to detail Passion for real-time problem solving and troubleshooting complex problems Willingness to conduct ad-hoc or exploratory testing Desire to work in fast-paced, entrepreneurial setting Ability to rapidly adapt to changing systems and environments; proactive, positive approach to work Beneficial Skills (Not Essential) ETRM, CTRM or other trading and financial services related user experience Computer skills and understanding of network and software technology such as SQL, Shell Scripting, Power BI or Tableau Familiarity with helpdesk and defect tracking tools such as Jira, Confluence a plus About Veson Nautical We are a team of multi-cultural, multi-disciplined professionals that are dedicated to making our clients successful and charting a new, innovative course for the commercial marine industry. Veson Nautical employs a staff of extremely capable creators and innovators all focused on meeting the goals of our clients. We invest extensively in employee development and experience to maintain focus and enthusiasm. The Veson Nautical team is made up of a dynamic blend of engineers, artists, sailors, teachers, brokers, bankers, traders, consultants, and customer service experts. Veson Nautical is a successful, rapidly growing global software company. Our clients are the world’s leading commercial maritime owners, operators and commodity trading companies. Veson’s solutions enable our clients to identify new opportunities and proactively manage their business to make more profitable decisions. With offices in London, Singapore, Tokyo and Houston and headquarters in Boston, USA, Veson Nautical is a dynamic organization with a committed team of professionals. Dedicated to ensuring the highest levels of client satisfaction, Veson Nautical brings decades of experience, technical knowledge, enthusiasm and commitment to clients around the world. The combination of exceptional market growth and leading market position make this a superb opportunity for the right candidate. Show more

Description Leidos is seeking full-time Mortgage Origination Professionals at the FHA Resource Center in Indianapolis, IN. Our Leidos Customer Service team supports the US Department of Housing and Urban Development (HUD), Office of Single-Family Housing in their Mission to create strong, sustainable, inclusive communities and quality affordable homes for all. As a Mortgage Origination Customer Service Representative, you will use your mortgage background as a Loan Processor, Loan Officer, Underwriter, or other loan origination professional to help make a difference in the lives of others, while expanding your knowledge of Federal Housing Administration (FHA) mortgage policies and procedures. What’s in it for you? Monday - Friday schedule with no weekend work. Access to benefits on day one, including medical and dental insurance, 401K, Life, AD&D, and Voluntary Disability plans. Immediate and ongoing training to support your success. Discounted Leidos stock purchase and other Employee Discounts. Company-wide career mobility. Company-sponsored Public Trust eligibility upon hire. Voluntary overtime may be available based on business needs. Paid Time Off (PTO) accrued based on Leidos policy, up to 15 days a year. 11 paid holidays per year. As a Mortgage Origination Customer Service Representative, You Will Provide excellent customer service, answering a variety of calls and emails from the lending industry and the public on FHA guidelines and procedures. Use your knowledge of the mortgage industry to locate answers in a knowledge database to acknowledge the client’s requests. Follow standard operating procedures for various topics, systems, and contact channels. Document all of your contacts in a database. Keep up to date on FHA mortgage processes and procedures. To be a successful Mortgage Origination Customer Service Representative, you will possess: The ability to navigate multiple computer systems and applications and utilize search tools. Excellent time management skills and dependability. Strong written and verbal communication skills, including telephone etiquette. Keyboarding proficiency of at least 40 words per minute. Required Qualifications High School diploma or General Educational Development (GED) certificate. Minimum of 2 years of mortgage origination experience (e.g. loan originator, loan processor, junior underwriter, loan officer). Minimum of 1 year of contact center experience or telephone customer service experience. Ability to obtain a Public Trust Security clearance, which includes a credit check and background investigation. Preferred Qualifications FHA Knowledge/background. Contact Center experience (Omnichannel). Bilinguals English and Spanish - verbal and written. Leidos is a global leader providing solutions to make the world safer, healthier, and more efficient through technology, engineering, and science. Our company believes in engaging, developing, and empowering our diverse and valued people to foster a culture of creativity and growth. The pay for this position is $20-$22 per hour.** This position is covered under the Service Contract Act and is subject to minimum wage demands as well as the minimum Health and Welfare benefits. Leidos will ensure that all provisions are met through their wages and benefits. # HUDFHA If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting October 26, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range - The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com. Pay And Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Show more