Nvidia Principal Software Integration Engineer - Autonomous Vehicles 

United States, California 

580909826

What you'll be doing:

• Lead a multidisciplinary team of engineers passionate about software integration, validation, and release for autonomous driving systems.

• Own the end-to-end integration of perception, planning, mapping, localization, and control modules into real-time embedded and simulation environments.

• Collaborate with hardware, system software, and platform teams to ensure tight integration with DRIVE platforms (e.g., Orin, Thor).

• Define and enforce best practices for CI/CD pipelines, automated testing, release engineering, and deployment validation.

• Drive technical roadmaps, priorities, and architecture decisions for integration frameworks and tooling. Troubleshoot and resolve sophisticated system-level issues across software and hardware layers.

• Serve as a technical point of contact for internal stakeholders (e.g., software component, program, research, QA, and safety teams) and external partners/OEMs.

• Contribute to hiring, mentoring, and developing world-class talent within the team.

What We Need to See:

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent experience).

• 15+ years of experience or more in software development and integration, with at least 2+ years in a technical leadership or management role.

• Proven experience delivering large-scale, safety-critical systems—preferably in autonomous driving, robotics, or embedded systems.

• Deep understanding of modern C++ (C++11/14/17), Python, and Linux-based development environments.

• Strong background in system-level debugging, performance profiling, and large-scale software integration. Experience with CI/CD systems (e.g., Jenkins, GitLab CI), containers (Docker), and build systems (e.g., Bazel, CMake).

• Familiarity with ROS/ROS2, real-time systems, middleware (DDS), and hardware-software interfaces.

• Outstanding leadership, communication, and cross-functional teamwork skills.

Ways to Stand Out from the Crowd:

• Experience working with NVIDIA DRIVE or similar autonomous vehicle platforms.

• Knowledge of ISO 26262, automotive safety standards, and functional safety integration workflows.

• Prior experience with simulation environments, scenario-based validation, and data pipeline integration.

• Contributions to open-source robotics or autonomous driving software stacks.