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Automotive Research Engineer Jobs (NOW HIRING)

Waabi

Research Engineer, Calibration

San Francisco, CA · On-site +1

$158K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Calibration, you will create the next ...

Waabi

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Calibration, you will create the next ...

Waabi

$158K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Calibration, you will create the next ...

Waabi

Research Engineer, Calibration

San Francisco, CA · On-site +1

$158K - $269K/yr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... To learn more visit: www.waabi.ai As a Research Engineer in Calibration, you will create the next ...

Horiba Instruments

Manufacturing Engineer

Austin, TX · On-site

$72K - $93K/yr

Manufacturing Engineer Austin, TX Are you looking for an exciting career in the semiconductor ... from automotive R&D, process and environmental monitoring, in-vitro medical diagnostics ...

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Automotive Research Engineer information

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$37K

$106K

$142.5K

How much do automotive research engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for automotive research engineer in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are the typical career advancement opportunities for Automotive Research Engineers?

Automotive Research Engineers often begin their careers in entry-level or junior engineering roles, focusing on research and product development. With experience, they can advance to senior engineer positions, project management, or specialize in areas like powertrain, vehicle safety, or autonomous systems. Many also progress to lead teams, contribute to strategic decisions, or move into R&D management roles. Continuous learning and staying current with industry technology can significantly enhance your career growth within the automotive sector.

What are the key skills and qualifications needed to thrive in the Automotive Research Engineer position, and why are they important?

To thrive as an Automotive Research Engineer, you need a solid background in mechanical or automotive engineering, advanced problem-solving skills, and expertise in data analysis. Familiarity with CAD software, simulation tools like MATLAB/Simulink, and knowledge of industry standards or certifications (such as ISO/TS 16949) are typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex results to multidisciplinary teams are valuable soft skills. These competencies enable you to develop innovative automotive solutions, ensure product safety, and collaborate effectively in a dynamic R&D environment.

What does an Automotive Research Engineer do?

An Automotive Research Engineer conducts studies and experiments to develop new vehicle technologies, improve performance, enhance safety, and increase efficiency. They work on designing, testing, and analyzing automotive components, materials, and systems. This role often involves using computer simulations, data analysis, and prototype testing to solve engineering challenges. Automotive Research Engineers collaborate with manufacturers, suppliers, and regulatory bodies to meet industry standards. Their work is essential in driving innovation in areas like electric vehicles, autonomous technology, and sustainability.

More about Automotive Research Engineer jobs
What cities are hiring for Automotive Research Engineer jobs? Cities with the most Automotive Research Engineer job openings:
What are the most commonly searched types of Automotive Research Engineer jobs? The most popular types of Automotive Research Engineer jobs are:
What states have the most Automotive Research Engineer jobs? States with the most job openings for Automotive Research Engineer jobs include:
What job categories do people searching Automotive Research Engineer jobs look for? The top searched job categories for Automotive Research Engineer jobs are:
Automotive Research Engineer jobs near you
Infographic showing various Automotive Research Engineer job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Research Engineer, Learnable Planner (Integration)

Waabi

San Francisco, CA • On-site, Remote

$159K - $296K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 11 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research engineer for Learnable Planner you will support integration of new AI technologies into our autonomy/planner stack enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World.
 
You will...
- Integrate cutting-edge ML models in production planning stack from development to validation, deployment, and monitoring
- Develop necessary interfaces and pipelines in simulation for testing prototype or production planning models
- Work closely with motion planning sub-teams and research scientists to improve our planner architecture and develop rich and novel representations that can facilitate end-to-end solutions
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Stay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.
- Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator.
- Contribute to the publication of research findings in conferences as well as Waabi's blog.
 
Qualifications:
- MS/PhD in machine learning, computer science, engineering, or a related field. Exceptional Bachelor's students will also be considered.
- Experience in ML-based or classical techniques for planning/decision making (e.g., imitation and reinforcement learning, optimization-based approaches, search methods, probabilistic reasoning).
- Passion for taking research ideas and turning them into practical solutions for real-world applications.
- Open-minded and collaborative team player with willingness to help others.
- Solid understanding of computing fundamentals, including code efficiency.
- Experience in deep learning frameworks such as PyTorch.
- Proficiency in Python, Rust, C++ and/or CUDA.
 
Bonus/nice to have:
- Experience deploying ML/DL models to a production motion planning or related robotics stack.
- Experience in iterating on a model including evaluation, introspection and fine-tuning.
- Strong grasp of machine learning literature, including current trends and state-of-the-art techniques.
- Comfortable with model compilation and exporting, lower level concepts like TensorRT, CUDA kernels.
The US yearly salary range for this role is: $159,000 - $296,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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