Senior Integration Engineer - Autonomous Driving AI

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 152,000 - 288,000

Full time

11 days ago
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Benefits offered by this job

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Job summary

NVIDIA is building the computing platforms, software, and AI systems for autonomous vehicles. We seek a Senior Integration Engineer to accelerate development, integration, evaluation, and deployment of end-to-end driving models across training, simulation, and production vehicle platforms.

You will collaborate across model development, data, simulation, systems software, and vehicle engineering to deliver high-performance, production-ready driving functionality on NVIDIA GPUs.

Qualifications

  • PhD with 1+ year, MS with 3+ years, or BS with 5+ years of relevant experience.
  • Strong C++ programming, software architecture, debugging, and performance-analysis skills, and model inference technologies such as CUDA and TensorRT.
  • Proficiency in Python and experience with PyTorch.

Responsibilities

  • Integrate learned driving models with vehicle interfaces, sensor inputs, localization, mapping, safety systems, and other autonomous driving components.
  • Establish clear model input, output, timing, state-management, and runtime interface contracts.
  • Partner with model developers to improve model quality, debuggability, runtime behavior, and readiness for deployment.
  • Investigate discrepancies between model behavior in development environments and on target vehicle platforms.
  • Optimize model inference and surrounding software to meet latency, throughput, memory, determinism, and power requirements.
  • Develop tools and metrics for evaluating driving quality, safety, robustness, and regression performance at scale.
  • Perform in-vehicle testing, collect and analyze driving data, and complete autonomous driving missions.
  • Develop high-quality production code in C++ and Python using CUDA and other GPU-accelerated technologies.

Skills

C++ programming
Software architecture
Debugging
Performance analysis
Python
PyTorch
Linux
QNX
ML model integration
Autonomous driving

Education

PhD in CS/CE/Robotics
MS in CS/CE/Robotics
BS in CS/Engineering

Tools

CUDA
TensorRT
Linux
QNX

Job description

NVIDIA is building the computing platforms, software, and AI systems for autonomous vehicles. We seek a Senior Integration Engineer to accelerate development, integration, evaluation, and deployment of end-to-end driving models across training, simulation, and production vehicle platforms.

You will collaborate across model development, data, simulation, systems software, and vehicle engineering to deliver high-performance, production-ready driving functionality on NVIDIA GPUs.

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