Senior Integration Engineer - Autonomous Vehicles
$152,000–$287,500 year
On-site · Santa Clara, California, United States
Job Summary
Senior Integration Engineer, Autonomous Vehicle: Define functional software architecture for NVIDIA's L2/L3/L4 autonomous driving solutions and integrate modular software components (perception, planning, etc.) to implement customer-required self-driving functions. Optimize product implementation to achieve target performance goals, diagnose system software and driving issues on target driving platforms (in-vehicle and simulation), create efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines, perform in-vehicle tests, collect data and complete autonomous drive missions, develop system tests and documentation of product functions, evaluate quality and propose corrective actions. Develop highly efficient product code in C++, leveraging high algorithmic parallelism offered by CUDA, and follow MISRA quality and safety standards.
Required Qualifications
- PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field
- Excellent C and C++ programming skills
- Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
- Profound knowledge of programming and debugging techniques
- Experience developing software in heterogeneous architectures, including GPUs
- Background with version control systems GIT and build systems like CMake/Bazel
- Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation
- Solid understanding of Linux, and/or other real-time operating systems
Desired Qualifications
- Equity and benefits eligibility
- Applications accepted until April 17, 2026
- Posting is for an existing vacancy
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