Senior Integration Engineer, End-to-End Model - Autonomous Vehicles

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Senior Integration Engineer to accelerate end-to-end driving models across training, simulation, and production vehicle platforms. You will work across model development, data, simulation, and vehicle engineering to transform evolving AI models into reliable autonomous driving capabilities on NVIDIA hardware.

You will develop high-quality production code in C++ and Python, optimize model inference, and build tools to evaluate driving quality, robustness, and regression

Qualifications

• PhD with 1+ year, MS with 3+ years, or BS with 5+ years of experience in CS/CE/Robotics or 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 with PyTorch.
• Experience developing software on Linux and embedded/RTOS such as QNX.
• Experience integrating machine-learning models into complex production systems.
• Ability to diagnose issues across model behavior, application software, middleware, OS, and hardware.
• Experience with autonomous driving, robotics, ADAS, or other real-time intelligent systems.

Responsibilities

• Integrate driving models with vehicle interfaces, sensors, localization, mapping, and safety systems.
• Define contracts for model input/output, timing, state-management, and runtime interfaces.
• Collaborate with model developers to improve quality, debugging, and readiness for deployment.
• Investigate discrepancies between development and target vehicle platforms.
• Optimize inference and software to meet latency, throughput, memory, determinism, and power targets.
• Develop tools and metrics for evaluating driving quality, safety, robustness, and regression performance at scale.
• Perform in-vehicle testing and analyze driving data for autonomous missions.
• Develop production-grade code in C++ and Python including CUDA and GPU accelerations.

Skills

C++ development

Python programming

CUDA

TensorRT

PyTorch

Linux

QNX RTOS

Model integration

Performance analysis

Education

PhD (1+ year) / MS (3+ years) / BS (5+ years) in CS/CE/Robotics or related

Tools

CUDA

TensorRT

PyTorch

Job description

Intelligent machines powered by artificial intelligence are transforming transportation. NVIDIA is building the computing platforms, software, and AI systems that enable autonomous vehicles to perceive, reason, and act in complex environments. Our team develops NVIDIA’s end-to-end autonomous driving application. We are looking for a Senior Integration Engineer to accelerate the development, integration, evaluation, and deployment of end-to-end driving models across large-scale training infrastructure, simulation environments, and production vehicle platforms. In this role, you will work across model development, data, simulation, systems software, and vehicle engineering. You will help turn rapidly evolving AI models into reliable, high-performance autonomous driving functionality running on NVIDIA’s heterogeneous computing platforms.

What you’ll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 22, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.