Perception Engineer: Infrastructure

• Responsible for performance analysis and optimization of the autonomous driving perception system’s onboard modules, ensuring stable system operation.
• Participate in the localization and analysis of issues encountered during road testing of the autonomous driving perception system, and assist in resolving various problems during the testing phase.
• Participate in cross-platform porting of the autonomous driving perception system, ensuring efficient, stable, and reliable operation of the perception pipeline across different platforms.
• Responsible for the development and maintenance of internal self-developed profiling tools, continuously optimizing and enhancing the overall performance of the perception scheduling framework.
• Collaborate closely with surrounding teams (such as multi-sensor, data simulation, etc.) to improve the reliable integration, adaptation, and functional interface of multi-sensor data.

We’re seeking talented and self-motivated software engineers to join our perception team., * Bachelor’s degree or above in Computer Science, Software Engineering, or a related field, with more than three years of experience in autonomous driving or related industries.

• Familiar with the Linux development environment, proficient in C/C++ and Python, with extensive experience in system development and design.
• Familiar with one or more open-source autonomous driving frameworks, such as Apollo or Autoware, with relevant development experience.
• Proficient in using performance tuning tools (e.g., perf, valgrind) and understanding the principles behind these tools.
• Familiar with GPU architecture and CUDA programming, with experience in performance optimization of CUDA code based on Nsight.
• Strong communication and coordination skills, capable of effectively organizing and coordinating surrounding teams to advance and implement solutions., * A deep understanding of the overall architecture of autonomous driving systems, with familiarity in the basic principles of perception systems.
• Familiar with Nvidia Xavier/Orin chip architecture, with related software project development experience.
• Basic knowledge of AI model training, deployment, and inference processes.

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.

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.