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Remote Nvidia Autonomous Driving Jobs in Texas (NOW HIRING)

Proven success in driving measurable pipeline and ROI * Experience building marketing functions ... Full ownership and autonomy to shape marketing * Data-driven, innovative environment * Flexible ...

PRODUCT MANAGER III (Remote)

Austin, TX ยท On-site +1

$109K - $164K/yr

... driving the strategy and capacity plans for our most aggressive growth sector: Artificial ... You have a proven track record of "getting stuff done" and thrive in high-autonomy environments ...

... autonomy to apply your clinical judgment while still having guidance when you need it Apply to ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

... autonomy to apply your clinical judgment while still having guidance when you need it Apply to ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

... autonomy to apply your clinical judgment while still having guidance when you need it Apply to ... We encourage applicants with a criminal history (and driving history) to apply. Applications are ...

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Remote Nvidia Autonomous Driving information

What is the difference between Remote Nvidia Autonomous Driving vs Remote Nvidia Computer Vision Engineer?

AspectRemote Nvidia Autonomous DrivingRemote Nvidia Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience with autonomous vehicle systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; expertise in computer vision and image processing
Work EnvironmentDeveloping and testing autonomous driving algorithms, simulation, hardware integrationDesigning and implementing computer vision models, image analysis, and perception systems
Industry UsageAutonomous vehicle companies, automotive techRobotics, AI, automotive, and tech industries
Common Search/ComparisonYesYes

Remote Nvidia Autonomous Driving focuses on developing autonomous vehicle systems, while Remote Nvidia Computer Vision Engineer specializes in creating computer vision solutions applicable across various fields. Both roles require expertise in AI and programming, but their applications and daily tasks differ significantly within the tech industry.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Texas? The most popular types of Nvidia Autonomous Driving jobs in Texas are:
Infographic showing various Remote Nvidia Autonomous Driving job openings in Texas as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Senior / Staff ML Onboard Optimization Engineer

Waabi

Dallas, TX โ€ข On-site, Remote

$141K - $249K/yr

Full-time

Posted 13 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

You will...
- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
- Create and benchmark new CUDA kernels for inference.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
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Qualifications:
- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
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Bonus/nice to have:
- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel build systems, and integrating third party packages into dev environments.
The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabiโ€™s yearly salary ranges are determined based on several factors in accordance with the Companyโ€™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.ย  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- 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.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve!ย 

Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. 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.