Senior Integration Engineer - Autonomous Vehicles

Details

NVIDIA's team builds end-to-end autonomous driving applications for multi-computer and heterogeneous hardware architectures. The role involves working full stack on self-driving solutions for NVIDIA's L2/L3/L4 autonomous driving platforms.

Responsibilities

• Define functional software architecture for NVIDIA's L2/L3/L4 autonomous driving solutions.
• Integrate modular software components, including perception and planning, to implement customer-required self-driving functions.
• Optimize product implementations to achieve target performance goals.
• Diagnose system software and functional driving issues on target driving platforms, including on-road and simulation environments.
• Develop efficient mechanisms to improve utilization across computers with multiple heterogeneous hardware engines.
• Perform in-vehicle tests, collect data, and complete autonomous driving missions.
• Develop system tests and product-function documentation, evaluate quality, and propose corrective actions.
• Develop highly efficient product code in C++ using the algorithmic parallelism provided by GPGPU programming with CUDA.
• Follow quality and safety standards such as MISRA.

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, or a related technical field.
• Excellent C and C++ programming skills.
• Experience developing and debugging multithreaded or distributed applications, such as multimedia systems or game engines.
• Profound knowledge of programming and debugging techniques.
• Experience developing software for heterogeneous architectures, including GPUs.
• Knowledge of image-processing APIs such as OpenCV and MATLAB tools.
• Knowledge of automotive systems, particularly ADAS applications.
• Software development experience with CUDA, Linux, and QNX.
• Experience with Git and build systems such as CMake or Bazel.
• Ability to work hands-on within teams of algorithm, software, and hardware engineers, with strong attention to detail and data organization and presentation.
• Solid understanding of Linux, Android, and/or other real-time operating systems.

Preferred Qualifications

• Understanding of parallel, embedded, and distributed architectures.
• Experience writing low-latency, highly performant code.
• Strong communication and analytical skills.
• Self-motivated and an effective teammate.

Compensation and Benefits

• Base salary range for Level 3: USD 152,000–241,500 per year.
• Base salary range for Level 4: USD 184,000–287,500 per year.
• Eligibility for equity and benefits.
• Applications will be accepted at least until April 17, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer committed to a diverse work environment.