research and development engineer

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Mission
 
 
 
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 2-5 Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-06-02
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

AI Engineer, AI4ALL

<div>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
Depending on his/her scope, the incumbent will be in charge of one the domain :
Budget
 Budget Awareness: Demonstrate awareness of project budgets and strive to optimize resource utilization
within their scope of work.
Support operations
Project Execution Support: Assist senior engineers in the execution of engineering projects, focusing on tasks related to Newness levels 1 (fully applied, standard design and design based on existing rules).
Technical Documentation: Create and maintain accurate technical documentation, including design
specifications, test reports, and other relevant documents.
Data Analysis and Reporting: Collect, analyze, and report on technical data, contributing to informed decision-making within the team.
Competencies:
Discipline Design Process Application: Demonstrate proficiency in applying the established Discipline design processes and methodologies.
Technical Learning: Actively seek opportunities to learn and develop technical skills within the Discipline, staying abreast of industry trends and best practices.
Efficiency:
 Digitalization Roadmap Adherence: Adhere to the Discipline's Digitalization Roadmap, utilizing designated
tools and processes to ensure efficiency in their work.
 Continuous Improvement Identification: Contribute to the identification of potential improvements to existing processes and methodologies based on their experience.
 Innovation:
N/A: At this stage, the focus is on developing foundational skills and applying existing knowledge.
Collaboration and Influence:
Effective Communication: Communicate effectively with team members and stakeholders, ensuring clear and concise information exchange.
Professional Experience
0-2 years of experience in Discipline Engineering activities in automotive or relevant industries.
 Basic understanding of engineering principles and their application within the Discipline.
 Familiarity with relevant industry standards and best practices.
 Proficiency in using computer-aided design (CAD) and other relevant software tools.
 Strong analytical and problem-solving skills.
 Excellent communication and interpersonal skills.
 Eagerness to learn and develop technical expertise within the Discipline.
Job:
R&amp;D Engineer
Organization:
Site Human Resources
Schedule:
Full time
Employee Status:
Regular
Job Type:
Annual Contract
Job Posting Date:
2026-07-30
<div>Join Us !
 
Being part of our team, you will join:
 
<ul><li>one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
</li><li>a multi-cultural environment that values diversity and international collaboration
</li><li>more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
</li><li>a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
</li></ul> 
More information on Valeo: https://www.valeo.com</div></div>

Junior Software Engineer, BRAIN

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities~
 
 
 
 
 <ul>
 <li>
 Design/Review detailed requirements.
 </li>
 <li>
 Apply Valeo/general MBD standards &amp; guidelines.
 </li>
 <li>
 Perform data typing for all model signals &amp; blocks with respect to fixed point techniques.
 </li>
 <li>
 Generate C-code using Embedded coder toolbox.
 </li>
 <li>
 Design MATLAB testing scenarios for model verification.
 </li>
 <li>
 Perform Model in the loop verification.
 </li>
 <li>
 Perform Software in the loop verification (back to back testing).
 </li>
 <li>
 Develop tools to increase the efficiency of the MBD life cycle and the quality.
 </li>
 <li>
 Follow defined project processes/guidelines/checklists and ensure process conformance.
 </li>
 <li>
 Report work progress continuously through attendance of daily &amp; weekly project internal meetings.
 </li>
 <li>
 Contribute effectively in the continuous improvement of his/her project, team, and work environment by submitting improvement proposals whenever possible.
 </li>
 <li>
 Raise flags proactively for any issue that can impact his/her project or team.
 </li>
 <li>
 Communicate professionally and autonomously with the customer and the team members.
 </li>
 <li>
 Perform all the activities using the agreed internal/external configuration management tool.
 </li>
 <li>
 Provide technical trainings to team and other entities
 </li>
 <li>
 Perform technical review of MBD architectural design and software specification.
 </li>
 <li>
 Perform technical reviews on the different project&rsquo;s activities
 </li>
 <li>
 Coach and train other team member on MBD engineering methodology
 </li>
 <li>
 Develop software function list and organizing them into delivery phases to ensure maximum value delivered to the customer with each phase
 </li>
 <li>
 Review software specification with implementation and test functions
 </li>
 <li>
 Establish, update and maintain software risks and issues list
 </li>
 <li>
 Provide traceability to customer requirements
 </li>
 <li>
 Provide software deliverables on time and respect budget
 
 
 </li>
 </ul>
 
 
 Job Prerequisites~
 
 
 
 
 <ul>
 <li>
 2+ years of relevant experience
 </li>
 <li>
 Education ~ B.Sc. in Mechatronics, Electronics, Mechanical, or Electrical Engineering. M.Sc. or Ph.D. is a plus.
 </li>
 <li>
 Very Good MATLAB/Simulink/Stateflow Scripting and Modelling Skills with proven experience
 </li>
 <li>
 Good knowledge in Control Law and Thermodynamics
 </li>
 <li>
 Good knowledge about software engineering (requirement, design, development, verification and validation)
 </li>
 <li>
 Basic electronics knowledge
 </li>
 <li>
 Automatic Control, Motor Drives &amp; Electric Motors experience is a plus
 </li>
 <li>
 Automotive SPICE knowledge is a plus
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D Engineer
 
 
 
 D&eacute;partement~
 
 
 
 Software Development
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 Annual Contract
 
 
 
 Job Posting Date~
 
 
 
 2025-11-19
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Software engineer - Model Based Development, POWER

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 
 Responsibilities
 
 ~
 
 
 
 <ul>
 <li>
 Develop software requirements by gathering the project's different stakeholders&rsquo; requirements, consolidating them and identifying any conflicting requirements.
 </li>
 <li>
 Participate in system and customer requirements analysis for new products. Responsible for system and customer requirements analysis for projects that have a high reuse factor.
 </li>
 <li>
 Participate in high level design architecture definition for the new products. Responsible for high level design for the projects that have a high reuse factor.
 </li>
 <li>
 Design complicated software component(s) based on defined high-level design.
 </li>
 <li>
 Integrate overall software components based on the project&rsquo;s architecture. This can include traveling to customer sites to ensure smooth delivery.
 </li>
 <li>
 Perform technical reviews on software component design, code, and component test, and integrate test strategy and plan.
 </li>
 <li>
 Present work progress continuously through active participation of daily &amp; weekly project meetings (Internal and external with other Valeo sites)
 </li>
 <li>
 Develop the work breakdown structure and contribute to the estimation of the different project&rsquo;s activities.
 </li>
 <li>
 Contribute effectively in the improvement of standard process, guidelines, checklists, and tools.
 </li>
 <li>
 Ensures the efficiency of the validation techniques and standards used by projects
 </li>
 <li>
 Perform the responsibilities of the previous technical level as per the projects need.
 </li>
 <li>
 Extensive experience in ASPICE-compliant software development, with a strong understanding of quality processes in automotive or embedded systems.Support in performing software integration on the test bench and on the vehicle to ensure the proper functionality.
 </li>
 <li>
 Analyze the test reports and issues reported from the customer and lead the action plan to resolve them ensuring customer satisfaction.
 </li>
 <li>
 Lead local the warranty issue related to SW and capitalize LLC with PG.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 ~
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
 </li>
 <li>
 0-1 years of experience in automotive embedded software development.
 </li>
 <li>
 Proficiency in C/C++ programming languages for embedded systems in addition to experience with scripting languages like Python.
 </li>
 <li>
 Experience with microcontrollers like Renesas, NXP, Aurix.
 </li>
 <li>
 Strong understanding of AUTOSAR architecture, including concepts such as service-oriented communication and application lifecycle management is a plus.
 </li>
 <li>
 Experience with using Vector tools (CANoe, Davinci, VTest Studio, etc) with different types of automotive communication protocols such as LIN, CAN, and Ethernet.
 </li>
 <li>
 Experience with hardware interfacing protocols used in embedded systems including UART, SPI, I2C.
 </li>
 <li>
 Experience with software development tools and methodologies, such as version control systems (e.g., Git), application lifecycle management (e.g. Codebeamer), defect management system, and agile development practices.
 </li>
 <li>
 Experience with requirements management tools (e.g. Codebeamer, DOORS).
 </li>
 <li>
 Strong experience using debugging tools like scopes, logical analyzers, etc.
 </li>
 <li>
 Experience with software automatic and manual testing and test report analysis.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a strong attention to detail.
 </li>
 <li>
 Effective communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 <ul>
 <li>
 Experience in software development for lighting systems in the automotive industry is highly desirable.
 </li>
 <li>
 Knowledge of cybersecurity concepts and best practices for automotive software development is a plus.
 </li>
 <li>
 Experience with continuous integration/continuous deployment (CI/CD) pipelines and automated testing frameworks for automotive software.
 
 
 </li>
 </ul>
 
 
 Job~
 
 
 
 
 
 R&amp;D Engineer
 
 
 
 
 
 Discipline~
 
 
 
 
 
 Software
 
 
 
 
 
 Location~
 
 
 
 
 
 Cairo, Egypt
 
 
 
 
 
 Schedule~
 
 
 
 
 
 Full time
 
 
 
 
 Position~
 
 
 
 Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Junior Software Engineer, LIGHT

Greptile

<div>
 We want to build agents that autonomously validate code changes. Today that looks like AI that reviews pull requests in GitHub, catching bugs and enforcing standards. We&rsquo;re reviewing close to 1B lines of code a month now for over 3,000 companies.
 
 
 
 Problems We&rsquo;re Excited About
 
 
 
 <ul>
 <li>
 Coding standards can be idiosyncratic and are often poorly documented; can we build agents that learn them through osmosis like a new hire might?
 </li>
 <li>
 Can we identify for each customer what types of PR feedback they do and don&rsquo;t care about, perhaps using some sample efficient RL, in order to increase signal-to-noise ratio?
 </li>
 <li>
 Some bugs are best caught by running the code, potentially against discerning AI-generated E2E tests. Can we autonomously deploy feature branches and use agents to parallel try to break the application to detect bugs?
 
 
 </li>
 </ul>
 
 Trajectory
 
 
 
 <ul>
 <li>
 7,000+ customers
 </li>
 <li>
 Raised $30M from Benchmark, YC, Paul Graham, Initialized
 
 
 </li>
 </ul>
 
 Team
 
 
 
 <ul>
 <li>
 We have assembled a small, talent dense team who have scaled critical functions at companies like Stripe, Google, Figma, LinkedIn, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science or equivalent
 </li>
 <li>
 Some research experience, ideally with ML/LMs/Agents
 </li>
 <li>
 Strong programming skills and good product intuition
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experiment with and apply recent advancements in agents/LMs etc. to improve the performance and capabilities of our products
 </li>
 <li>
 Example: you might study multi-agent architectures, prototype and evaluate a multi-agent code review workflow, and then work with a team to integrate successful prototypes into production systems
 </li>
 <li>
 Stay current with the latest research in LLMs, information retrieval, and developer tooling
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Research Engineer

University of California Berkeley

Associate Development Engineer (4758C) - Job #84710 - EECS About Berkeley
 
At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.
 
As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.
 
We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan .
 
At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley.
 Departmental Overview
 
The Department of Electrical Engineering and Computer Sciences (EECS), in both the College of Engineering and the College of Computing, Data Science, and Society (CDSS) is the largest academic department on the Berkeley campus, consisting of over 130 faculty, active emeriti, professors-in-residence, and adjunct professors, 3600+ undergraduates in both Engineering and CDSS, 750+ graduate students, and 60+ staff. EECS programs are consistently ranked in the top three by many measures, including U.S. News & World Report's national and global ranking. Annual operating budget (not including expenditures related to research. faculty start-ups, and student fellowships) for EECS is $40+ million.
 
The Department is actively engaged in teaching and research in the disciplines of Artificial Intelligence, Computational Biology, Databases, Graphics, Hardware / Architecture, Human-Computer Interaction, Operating Systems / Networking, Programming Systems / Software, Scientific Computing, Theory, Vision (in Computer Science) as well as Biosystems, Communication/Networking, Communications / Physical Layer, Control, Design, Modeling, and Analysis, Electromagnetics/Antennas, Integrated Circuits, Optics, Physical Electronics Devices, Physical Electronics/MEMS, Optoelectronics, Energy, Robotics, Signal Processing for Image & Video, Signal Processing for Speech & Audio (in Electrical Engineering). Computer Science operates research and instructional laboratories in Sutardja Dai Hall, and other off-campus sites, and Electrical Engineering operates similar facilities in Cory Hall, Sutardja Dai Hall, and other off-campus sites. EECS also has a significant technical staff support structure to provide support for research and instructional laboratories and fabrication facilities.
 
This position is ideal for a mid- to senior-career engineer with substantial hands-on experience in electronics, instrumentation, and lab systems support, capable of operating independently across multiple lab spaces. The engineer will serve as a primary technical resource, ensuring that instructional labs are safe, reliable, and fully operational each day.
 
The Associate Development Engineer provides professional engineering and technical support across all instructional labs within the Electrical Engineering and Computer Sciences department. Reporting to the Senior Development Engineer, this role supports a broad range of activities spanning electronics, controls, robotics, autonomous systems, and RF technologies.
 
Key responsibilities include designing, integrating, setting up, testing, and maintaining instructional and research-related equipment-ranging from electronic circuits, sensors, and RF systems to robotic and drone infrastructure, embedded platforms, and audio-visual technology. The position also provides guidance in developing experimental setups and maintaining lab spaces such as maker or prototyping areas.
 
This role requires strong hands-on ability in building and integrating systems-assembling testbeds, configuring embedded and RF hardware, developing control and communication software, and troubleshooting electromechanical and networked systems. Proficiency in electronics, RF instrumentation, microcontroller and embedded development tools, CAD design, and software integration (e.g., Python, ROS, or MATLAB/Simulink) is expected. The Associate Development Engineer collaborates closely with faculty, students, and staff to ensure the smooth operation of instructional labs and to enhance hands-on learning and experimentation in robotics, controls, RF, and autonomous systems.
 
Application Review Date
 
The First Review Date for this job is: June 26, 2026 - Open Until Filled
 Responsibilities
 
Provides full range of professional engineering services to research projects; meets with research staff in Provide high-level engineering and technical support across all instructional labs within the Electrical Engineering and Computer Sciences department. Collaborates with PI in the design, setup, testing, and maintenance of experimental systems and equipment used in labs covering basic electronics, controls, robotics, RF, and autonomous systems. Develops and integrates advanced technologies or methodologies (e.g., drone infrastructure, networked sensors, AI-enabled control, and communication systems) into instructional and research setups, ensuring safety, reliability, and compatibility.
 Supports and maintains electronic and audiovisual systems used in instructional and research environments, ensuring proper integration with lab instrumentation, computing, and control systems.
 Collaborate with faculty, students, and staff during the planning, design, and implementation phases of lab projects, ensuring alignment with instructional goals and learning outcomes. Develop and optimize firmware/software for microprocessors and embedded systems used in lab experiments, utilizing appropriate development tools and methodologies. Supports hardware-software integration for robotics, drones, and RF-based systems, ensuring interoperability across platforms. Facilitates collaboration across diverse disciplines (e.g., engineering, data science, biology, medicine) to address multifaceted or interdisciplinary projects.
 Provide technical guidance and training to students, faculty, and lab assistants on equipment operation, safety protocols, and best practices in experimental design and execution. Collaborate with the Senior Development Engineer and other stakeholders to assess and enhance lab infrastructure, equipment, and processes to support evolving educational needs and research initiatives. Assist in configuring and maintaining lab environments for hands-on experimentation in embedded systems, robotics, and wireless communication.
 Document project progress, outcomes, and technical specifications to maintain comprehensive records and facilitate project evaluation and replication. Monitor and evaluate lab equipment performance, identify issues, and implement timely solutions to ensure optimal functionality and reliability. Maintain documentation for integrated hardware-software systems, including electronics, communication links, and control interfaces.
 Participate in continuous improvement initiatives to enhance lab capabilities, efficiency, and effectiveness, contributing to the department's academic and research objectives. Stay updated on emerging technologies, trends, and advancements in engineering education and instructional methodologies relevant to the role. Evaluate new technologies in robotics, autonomous systems, and RF instrumentation for potential lab integration. Required Qualifications
 
Bachelor's degree in a related area and/or equivalent experience/training.
 Proven experience in providing engineering and technical support within educational or research environments.
 Strong proficiency in using development tools for microprocessors (e.g., ARM, AVR, PIC, Intel), CAD tools (e.g., AutoCAD, SolidWorks), and other technologies relevant to electrical engineering, computer science, and autonomous or RF systems.
 Excellent problem-solving skills and ability to analyze complex technical issues, propose solutions, and implement effective resolutions.
 Effective communication and collaboration skills, with the ability to work closely with diverse stakeholders, including faculty, students, and technical staff.
 Commitment to fostering a positive and supportive learning environment, promoting hands-on learning and experiential education.
 Prior experience with instructional labs covering electronics, controls, robotics, RF systems, or related disciplines is highly desirable.
 Ability to work collaboratively; identify challenges and barriers, and recommend resolutions.
 7+ years of experience in providing engineering and technical support within educational or research environments.
 
Salary & Benefits
 
For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website.
 
Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.
 
The budgeted salary or hourly range that the University reasonably expects to pay for this position is $88,900 to $126,400 yearly; the full salary range for this classification is $88,900 to $163,900 yearly. This is a 100% FTE career position eligible for full benefits. This position is FLSA Exempt and paid monthly.
 Conviction History Background
 
This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check.
 Misconduct Disclosure
 
As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
 
"Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct:
 
UC Sexual Violence and Sexual Harassment Policy
 UC Anti-Discrimination Policy
 Abusive Conduct in the Workplace
 Equal Employment Opportunity
 
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
 
To apply, visit https://careerspub.universityofcalifornia.edu/psc/ucb/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&JobOpeningId=84710&PostingSeq=1&SiteId=21&languageCd=ENG&FOCUS=Applicant
 
je-04fdb2fe98524bde8e37f4cb9d46ae92

Associate Development Engineer (4758C) - Job #84710 - EECS

Axle

<div>
 (ID: 2026-2532)
 
 &nbsp;
 
 
 
 
 Axle
 
 is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
 
 
 &nbsp;
 
 
 
 Benefits We Offer:
 
 
 <ul>
 <li>
 100% Medical, Dental &amp; Vision Coverage for Employees
 </li>
 <li>
 Paid Time Off and Paid Holidays
 </li>
 <li>
 401K match up to 5%
 </li>
 <li>
 Educational Benefits for Career Growth
 </li>
 <li>
 Employee Referral Bonus
 </li>
 <li>
 Flexible Spending Accounts:
 <ul>
 <li>
 Healthcare (FSA)
 </li>
 <li>
 Parking Reimbursement Account (PRK)
 </li>
 <li>
 Dependent Care Assistant Program (DCAP)
 </li>
 <li>
 Transportation Reimbursement Account (TRN)
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 We are seeking a
 
 
 Data Engineer
 
 
 to support biomedical science, clinical research data integration, and advanced data analysis initiatives. In this role, you will design, build, optimize, and maintain data pipelines and data workflows that support the ingestion, transformation, harmonization, validation, and delivery of complex biomedical datasets. You will collaborate closely with scientists, researchers, data scientists, bioinformaticians, application developers, and technical stakeholders to ensure data is accessible, well-structured, secure, documented, and reusable for biomedical research, analytics, reporting, and discovery.
 
 
 
 
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 The ideal candidate will have strong experience with Python, SQL, ETL/ELT development, data modeling, data quality practices, and research data lifecycle support. This role requires the ability to work with complex multi-source datasets, support analytics and application-facing data products, and contribute to scalable, well-governed data solutions that align with the Data Science Client Services branch priorities for data accessibility, interoperability, reproducibility, modernization, and secure research enablement.
 
 
 
 
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 Key Responsibilities
 
 
 
 
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 Data Pipeline Development:
 
 
 Design, build, test, and maintain data pipelines to ingest, transform, harmonize, and integrate diverse biomedical and research data sources, including clinical, genomic, experimental, imaging, biospecimen, operational, and other scientific datasets. Develop reusable transformation logic and curated datasets that support analytics, reporting, dashboards, applications, APIs, and downstream research workflows.
 
 
 
 
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 Data Integration and Lifecycle Support:
 
 
 Support the full research data lifecycle by enabling reliable data movement from source systems and storage environments into structured, analysis-ready formats. Assist with data ingestion, curation, metadata capture, data refreshes, source-to-target mapping, schema management, and long-term maintainability of data products and workflows.
 
 
 
 
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 Collaboration:
 
 
 Work closely with data scientists, bioinformaticians, researchers, application developers, project managers, and government stakeholders to gather requirements and deliver practical data solutions. Translate scientific and operational data needs into technical specifications, data models, transformation logic, and reusable datasets that accelerate biomedical research workflows and support informed decision-making.
 
 
 
 
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 Quality &amp; Governance:
 
 
 Implement data validation checks, reconciliation routines, testing practices, and monitoring processes to ensure data accuracy, completeness, consistency, and integrity. Follow data governance and security best practices, including documentation of transformations, lineage, assumptions, access requirements, and compliance considerations related to sensitive, regulated, de-identified, or access-controlled research data.
 
 
 
 
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 Dashboarding &amp; Integration:
 
 
 Create or support interactive dashboards, reporting layers, APIs, and application-ready datasets that allow researchers and stakeholders to visualize, explore, and analyze data. Support integration between data pipelines, databases, cloud platforms, analytics environments, and approved application platforms to enable scalable and secure data access.
 
 
 
 
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 Operational Support and Modernization:
 
 
 Troubleshoot data pipeline failures, source system inconsistencies, data quality issues, schema changes, access issues, and performance bottlenecks. Contribute to modernization efforts by improving automation, documentation, scalability, reproducibility, and platform readiness across environments.
 
 
 
 
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 Required Qualifications
 
 
 
 
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 Education &amp; Background:
 
 
 
 
 Bachelor&rsquo;s degree in Computer Science
 
 
 , Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven experience as a Data Engineer, Analytics Engineer, Data Integration Developer, Bioinformatics Engineer, or similar data-intensive role, preferably supporting analytics, biomedical research, healthcare, scientific computing, or research data teams.
 
 
 
 
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 Data Engineering Expertise:
 
 
 Strong proficiency in Python and SQL for data manipulation, transformation, scripting, automation, and analysis. Hands-on experience building ETL/ELT processes and data pipelines to support large, complex, multi-source datasets. Familiarity with scalable data processing approaches, including Spark/
 
 
 PySpark
 
 
 or similar frameworks, for high-volume or complex transformations is required.
 
 
 
 
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 Analytical Skills:
 
 
 Solid understanding of data modeling, relational databases, data warehouses, data lakes, metadata, and database concepts. Ability to work with complex, multi-modal datasets, including structured, semi-structured, and unstructured data, and optimize data workflows for reliability, performance, usability, and long-term maintainability.
 
 
 
 
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 Best Practices:
 
 
 Knowledge of software engineering and data engineering best practices, including version control using Git, code review, automated testing, documentation, peer review, and change management. Experience ensuring data quality and using lineage, provenance tracking, audit trails, or documentation practices to support transparency, reproducibility, and data flow traceability.
 
 
 
 
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 Collaboration &amp; Communication:
 
 
 Excellent problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders. Comfortable working in an interdisciplinary environment with biomedical researchers, analysts, developers, and project teams.
 
 
 Capable of
 
 
 translating domain-specific needs into technical solutions and explaining technical risks, limitations, and dependencies in clear stakeholder-focused language.
 
 
 
 
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 Domain Alignment:
 
 
 Strong interest in biomedical science, clinical research, healthcare data, and scientific discovery. Ability to quickly learn domain-specific concepts, data structures, terminology, and research workflows. Demonstrated awareness of sensitive data handling, privacy, access control, data governance, and regulatory or compliance expectations associated with biomedical and clinical research data.
 
 
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 Preferred Qualifications (Plus Skills)
 
 
 
 
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 Platform-as-a-Service and Data Platform Experience:
 
 
 Hands-on experience building data solutions in modern data platforms or platform-as-a-service environments such as Snowflake, Databricks, Palantir, cloud data warehouses, data lakes, or similar platforms. Experience supporting integrations across databases, cloud storage, APIs, analytics platforms, dashboards, and application environments is preferred.
 
 
 
 
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 Research and Application Enablement:
 
 
 Experience preparing curated datasets for dashboards, APIs, web applications, reporting tools, notebooks, or scientific computing environments. Familiarity with research-facing tools and platforms such as Posit Connect, R/Shiny,
 
 
 Streamlit
 
 
 , Jupyter, Galaxy, Code Ocean, or similar analytics and application delivery environments is a plus.
 
 
 
 
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 Cloud, Storage, and Automation Experience:
 
 
 Experience working with cloud or hybrid data environments, object storage such as S3, relational databases such as Postgres, automated data refreshes, scheduled jobs, API-based integrations, and secure data movement across controlled environments.
 
 
 
 
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 Biomedical Domain Knowledge:
 
 
 Previous experience in biomedical research, healthcare analytics, clinical research, public health, pharmaceutical research and development, or scientific data management. Familiarity with biomedical data standards or datasets, such as clinical trial data, clinical imaging, laboratory data, biospecimen data, transcriptomics/genomic data, HL7/FHIR, CDISC, OMOP, or related standards, and an understanding of the scientific research process will help you excel in this role.
 
 
 
 
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 Governance and Reproducibility:
 
 
 Experience supporting data governance, metadata management, data lineage, reproducible workflows, documentation standards, and secure handling of de-identified, sensitive, or access-controlled research datasets.
 
 
 
 
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 Disclaimer:
 
 The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
 
 
 The diversity of Axle&rsquo;s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
 
 
 Accessibility: If you need an accommodation as part of the employment process please contact:
 
 careers@axleinfo.com
 
 
 
 This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate&rsquo;s experience, qualifications, skills, and location.
 
 
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 #IND
 
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Data Engineer

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