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Senior System Software Engineer - Autonomous Vehicles Platform

NVIDIA

$148,000 - $287,500
Aug 28, 2025
Santa Clara, CA, US
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Revolutionize the world of transportation and the growing field of self-driving cars by designing ground-breaking solutions for the Autonomous Vehicles Platform.

Requirements

  • Excellent C and C++ programming skills
  • 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
  • Strong knowledge on Linux, QNX, and/or other real-time operating systems
  • Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer
  • Thrive on writing low latency, highly performant code
  • Experience developing software in heterogeneous architectures, including GPUs

Responsibilities

  • Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements
  • Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling
  • Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines
  • Solidifying existing frameworks and software components, and validate with large amounts of real and synthetic data for the improvements of the computational performance and system utilization
  • Performing in-vehicle tests, collecting data, and completing autonomous drive missions
  • Developing unit tests, documentation for features, evaluating quality and proposing corrective actions
  • Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA

Other

  • 4+ years of relevant industry experience
  • BS/MS or higher or equivalent experience in computer engineering, computer science or related engineering disciplines
  • Great communication and analytical skills
  • Understanding of embedded architectures
  • Knowledge of automotive systems, notably ADAS applications