Perception Engineer: Autonomous Driving Impact

Tensor Auto; San Jose (CA); On-site; USD 75,000 - 400,000; Full time

Benefits offered by this job

Equity incentive plan

Comprehensive benefits

Job summary

Tensor is seeking talented software engineers to join our perception team in San Jose, CA. You will work on the performance analysis and optimization of the autonomous driving perception system’s onboard modules, ensuring stable operation and cross‑platform compatibility.

Candidates should have a BS in CS or related field and 3+ years in autonomous driving, strong C/C++ and Python skills, Linux expertise, and knowledge of Apollo or Autoware.

Qualifications

• Bachelor's degree in CS, Software Engineering or related field with 3+ years in autonomous driving or related industries.
• Proficient in C/C++ and Python; strong Linux development experience.
• Familiar with Apollo or Autoware open-source frameworks; experience with performance profiling tools.

Responsibilities

• Responsible for performance analysis and optimization of the autonomous driving perception system's onboard modules, ensuring stable system operation.
• Participate in localization and analysis of issues during road testing and help resolve problems during testing.
• Contribute to cross-platform porting of the perception system ensuring efficient, stable operation across devices.
• Develop and maintain internal profiling tools to optimize the perception scheduling framework.
• Collaborate with multi-sensor, data simulation, and other teams to improve integration and interfaces of multi-sensor data.

Skills

C/C++

Python

Linux

CUDA

Nsight

Performance profiling

Education

Bachelor's degree in Computer Science or related field

Tools

Apollo

Autoware

Job description

Tensor is seeking talented software engineers to join our perception team in San Jose, CA. You will work on the performance analysis and optimization of the autonomous driving perception system’s onboard modules, ensuring stable operation and cross‑platform compatibility.

Candidates should have a BS in CS or related field and 3+ years in autonomous driving, strong C/C++ and Python skills, Linux expertise, and knowledge of Apollo or Autoware.