Drimva

NVIDIA

Senior Applications Software Engineer, Perception and Sensor Fusion

$152K–$288K

US, CA, Santa Clara · Senior · Full-time · Posted Sep 21, 2026

Experience
5+ years of work related experience in software development related to deep learning and/or autonomous driving technologies.
Education
BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).

About the job

Develop and deploy autonomous-driving perception and sensor-fusion software, adapting NVIDIA solutions to vehicles and improving driving performance through integration, testing, and optimization.

What you'll do

  • Shape application architecture for perception and sensor fusion with architecture and software teams.
  • Integrate and tune NVIDIA solutions in target vehicles; lead bring-up and resolve functional and perception-related issues.
  • Analyze in-vehicle and simulation test data, profile performance, and drive system optimization with partners and global teams.

What they ask for

  • 5+ years of related software development experience in deep learning and/or autonomous-driving technologies.
  • Experience developing and deploying deep-learning perception across cameras, lidars, ultrasonics, and radar.
  • Familiarity with data flywheel methods and a solid grasp of sensor-processing pipelines and their lifecycle.
  • Excellent C/C++ skills and good knowledge of Python.

Nice to have

  • Experience with automotive design processes and standards, NVIDIA DRIVE/GPU/CUDA, or QNX or equivalent RTOS.
  • Contributions to or ownership of an open-source project and mentorship experience.

Pay

152,000 USD - 241,500 USD base salary for Level 3; 184,000 USD - 287,500 USD base salary for Level 4

Tools

C/C++, Python, cameras, lidars, ultrasonics, radar, NVIDIA DRIVE, CUDA

AI focus

Developing and deploying deep-learning-based perception solutions across diverse sensor modalities; NVIDIA also uses AI tools in its recruiting processes.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)