Waabi에서 자율주행 시스템의 성능을 극대화할 Senior/Staff ML Onboard Optimization Engineer를 채용합니다. C++, Python, CUDA 및 PyTorch 활용 능력이 필수이며, 임베디드 환경에서의 모델 최적화 경험이 중요합니다. 자율주행 기술의 미래를 함께 만들어갈 6년 이상의 경력자를 찾고 있습니다.
Remote US & Canada / Dallas, TX / Phoenix, AZ / Pittsburgh, PA / San Francisco, CA / Toronto, ON
Software – Autonomy & Algorithms /
Full-time /
Hybrid
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
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.
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.
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. Waabi’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.
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!
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.
