Perception Engineer: GPU Engineering

AutoX is a global leader in self-driving car technology, driven by our mission to "Democratize Autonomy" and accelerate the advent of fully driverless cars. Our cutting-edge self-driving cars are designed to tackle the most complex and dynamic traffic environments, from bustling city streets to ever-changing urban landscapes. In 2020, we became the second company to secure a fully driverless passenger vehicle permit in California — a key milestone in autonomy. With a world-class team of engineers and R&D centers across the U.S. and beyond, AutoX continues to innovate.

Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.

We’re seeking talented and self-motivated software engineers to join our perception team.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Locations:

• San Jose, California, US (Salary Range: $75k—$400k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities:

• Collaborate with team members to deploy computer vision algorithms and deep learning models to GPUs.
• Contribute to the development of internal tools and libraries to further enhance perception system performance on the target hardware.
• Develop training materials and provide supervision/guidance to junior engineers.

Qualifications:

• Masters or PhD in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
• 8+ years experience of strong programming and software design skills in C++, especially in low latency or real-time environments.
• 5+ years experience with parallel computing/programming.
• 5+ years experience with GPU programming / optimization using CUDA or similar technologies.

Preferred Qualifications:

• Experience in software performance benchmarking, profiling, and optimizations.
• Experience with GPU optimization techniques: memory coalescing, register/shared memory tiling, pinned memory, and warp-level programming.
• Experience with GPU libraries: CUB, CUTLASS, Thrust, or Eigen.
• Experience with deep learning frameworks/compiler/library such as TensorRT, PyTorch, TensorFlow, ONNX Runtime.

How to Apply:

• Send an email with your resume to careers@autox.ai with Job ID: 78

AutoX is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. AutoX does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law in the respected countries.