Senior System Software Engineer – Autonomous Vehicles

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Linux @ 4 Communication @ 4 Git @ 4 Android @ 4 Debugging @ 6 CUDA @ 4

Details

The Autonomous Vehicles Platform team is now looking for a Senior System Software Engineer. Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interests in designing, developing, and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording, and playback, vehicle interface abstraction.

Responsibilities

  • Create and optimize software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
  • Work with vendors developing innovative sensors for vehicles.
  • Develop sensor drivers, plugins, and processing functions around sensor data.
  • Create highly efficient sensor data recording, playback, and visualization tools.
  • Perform in-vehicle tests, collect data and analyze integrity.
  • Work with car teams and control teams to develop interfaces to enable self-driving.
  • Support data collection campaigns for the autonomous vehicle program.
  • Develop unit tests, documentation for features, evaluate quality, and propose corrective actions.
  • Create highly efficient product code in C++, exploiting high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA.

Requirements

  • BS/MS or higher in computer engineering, computer science or related engineering (or equivalent experience).
  • Excellent C and C++ programming skills.
  • 5+ years of proven experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
  • Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
  • Background on Linux, Android, and/or other real-time operating systems.
  • Experience with sensors such as cameras, lidar, radar, ultrasonics, IMU, GPS.
  • Experience with vehicle control interfaces.
  • Thrive on writing low latency, highly performant code.
  • Great communication and analytical skills.
  • Self-motivated and a great teammate.

Ways to Stand Out From The Crowd

  • Understanding of embedded architectures.
  • Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.
  • Software development for modern OpenGL (Core Profile) and Linux.
  • Experience with version control systems GIT and build system CMake.

Benefits

Highly competitive salaries and a comprehensive benefits package. Eligible for equity and benefits. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.