Senior Integration Engineer - Autonomous Vehicles

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 45 days ago $152,000–$241,500 / year
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At a glance

AI generated

TL;DR

As a Senior Integration Engineer for Autonomous Vehicles at NVIDIA, you will join a dynamic team building end-to-end self-driving solutions. Your role involves defining functional software architecture for L2/L3/L4 autonomous driving systems, integrating modular components like perception and planning to meet customer requirements, and optimizing performance on multi-computer and heterogeneous hardware architectures. You will diagnose issues in real-world and simulation environments, develop efficient mechanisms for resource utilization, conduct in-vehicle tests, and create comprehensive system documentation. Key skills include expertise in C++ and CUDA programming, experience with Linux, QNX, and version control systems like Git, as well as knowledge of image processing APIs and automotive systems. This role demands a solid understanding of parallel, embedded, and distributed architectures, along with the ability to write highly performant code and work collaboratively within a cross-disciplinary team.

Skills

C++ CUDA Linux QNX Git CMake Bazel OpenCV MATLAB Android Multithreaded programming Distributed systems Version control Build systems Image processing APIs Heterogeneous architectures GPGPU programming Real-time operating systems MISRA standards

What you'll do

  • Define functional software architecture for NVIDIA's L2/L3/L4 autonomous driving solutions.
  • Integrate modular software components to implement customer-required self-driving functions.
  • Optimize product implementation to meet target performance goals.
  • Diagnose system software issues reported on target driving platforms, including in-road tests.
  • Develop efficient mechanisms to improve utilization of computers with multiple heterogeneous hardware engines.
  • Perform in-vehicle tests and collect data for autonomous drive missions.
  • Follow quality and safety standards such as those defined by MISRA.

What we're looking for

  • PhD with 1+ year or MS with 3+ years in Computer Science/Engineering.
  • Expertise in C++ programming and multithreaded/distributed application development.
  • Experience with heterogeneous architectures, including GPUs and CUDA.
  • Proficiency in image processing APIs (e.g., OpenCV) and automotive systems.
  • Knowledge of Linux, QNX, version control systems (GIT), and build tools (CMake/Bazel).
  • Strong analytical skills and ability to work effectively in a team environment.
  • Understanding of parallel, embedded, and distributed architectures.

Market check

Salary context

This $152,000–$241,500 range sits above 47% of similar postings on FindRole.

Peer median band

$160,913–$241,900

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$157,500–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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