Perception Engineer: GPU Engineering

Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you.

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.

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

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

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.

Preferences

• 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.

We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.