Senior Autonomous Vehicle Platform Engineer

NVIDIA Corporation; Santa Clara (CA); Vor Ort; USD 224.000 - 357.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Zusammenfassung

NVIDIA Corporation is seeking a Senior System Software Engineer for the Autonomous Vehicles Platform in Santa Clara, CA. You will help integrate sensors—cameras, LIDAR, RADAR—into our data-driven AV software stack and optimize startup experiences across multi-computer architectures.

Applicants should have 8+ years in system software, strong C/C++/Python, and deep Linux/QNX/ROS knowledge, with embedded systems and real-time considerations. Equity and benefits are available.

Qualifikationen

• BS/MS in Computer Science, Electrical Engineering, or related field, or equivalent experience.
• 8+ years of professional system software experience.
• Proficient in C++, C, and Python.
• Strong Linux knowledge; experience with real-time OS such as QNX.
• Experience with embedded systems, threading, and parallel computing.
• Familiarity with CPU/GPU/memory hardware architectures.
• Experience in Autonomous Vehicles, Robotics, or embedded GPU tech is a plus.

Aufgaben

• Integrate sensors into AV driving software stack.
• Develop and improve startup user experience of the AV stack.
• Work on sensor abstraction layers, data processing, and performance optimization.
• Collaborate with hardware, platform software, safety, performance, algorithms and cloud teams.

Kenntnisse

C++

C

Python

Linux

Real-time OS

ROS

Threading

Synchronization

Embedded systems

GPU knowledge

Ausbildung

BS/MS in Computer Science or Electrical Engineering

Tools

Git

CMake

GCC

Linux toolchain

Jobbeschreibung

NVIDIA Corporation is seeking a Senior System Software Engineer for the Autonomous Vehicles Platform in Santa Clara, CA. You will help integrate sensors—cameras, LIDAR, RADAR—into our data-driven AV software stack and optimize startup experiences across multi-computer architectures.

Applicants should have 8+ years in system software, strong C/C++/Python, and deep Linux/QNX/ROS knowledge, with embedded systems and real-time considerations. Equity and benefits are available.