# Senior Integration Engineer

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Integration-Engineer--End-to-End-Model---Autonomous-Vehicles_JR2025038?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_1c802615-20e

## Description

We are seeking a Senior Integration Engineer to work on NVIDIA's end-to-end autonomous driving application. You will accelerate the development, integration, evaluation, and deployment of driving models across large-scale training infrastructure, simulation environments, and production vehicle platforms.

**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.

**Requirements:**

- PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, Robotics, Machine Learning, or a related field.

- Strong C++ programming, software architecture, debugging, and performance-analysis skills, and model inference technologies such as CUDA and TensorRT.

- Proficiency in Python and experience working with modern machine-learning frameworks such as PyTorch.

- Experience developing software on Linux and embedded or real-time operating systems such as QNX.

- Experience integrating machine-learning models into complex, performance-sensitive production systems.

- Ability to diagnose issues across model behavior, application software, middleware, operating systems, and hardware.

- Experience with autonomous driving, robotics, ADAS, or another real-time intelligent system.

**Nice to Have:**

- Experience deploying end-to-end driving, robotics, or embodied-AI models on production hardware.

- Familiarity with model optimization, quantization, compilation, profiling, and hardware-aware neural-network design.

- A track record of turning research models into robust, measurable, and maintainable product functionality.

- Self-motivation, sound engineering judgment, and a passion for solving cross-functional integration challenges.

The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

## Skills

### Required
- C++
- Python
- CUDA
- TensorRT
- PyTorch
- Linux
- QNX
- Machine Learning
- Computer Vision
- Autonomous Driving

### Nice to have
- Model Optimization
- Quantization
- Compilation
- Profiling
- Hardware-aware Neural-Network Design

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Integration-Engineer--End-to-End-Model---Autonomous-Vehicles_JR2025038?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)