Principal Software Integration Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, RoboticsIndustries

Requirements

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent experience)
15+ years of experience 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

Responsibilities

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

Skills

CI/CD

Automated Testing

Release Engineering

Embedded Systems

Simulation

NVIDIA DRIVE

Orin

Thor

Perception

Planning

Mapping

Localization

Control Modules

Real-time Systems

System Integration

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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