Senior Software Engineer - AV Platform

at Nvidia

📍 Santa Clara, United States

USD 224,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 4 GPU @ 3 Linux @ 4 Performance Optimization @ 3 Robotics @ 4 Security System Architecture @ 7

Details

The Autonomous Vehicles Platform team is looking for a Senior System Software Engineer to develop high-performance and scalable solutions for data collection and autonomous vehicle fleets. The team develops platform and middleware features for self-driving cars, including software that interacts with cameras, LiDAR, radar, GPS, IMU, and CAN sensors. The role focuses on application frameworks and tools for multi-computer and heterogeneous architectures and involves collaboration across hardware, embedded software, and cloud infrastructure teams.

Responsibilities

Drive AI-based automotive systems from design through production within power and performance constraints.
Work with hardware teams to help shape future platforms for industry-leading power efficiency.
Triage and debug stability, performance, and power issues in sophisticated systems and applications.
Design systems to comply with ISO 26262 functional safety and security requirements.

Requirements

Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
12+ years of professional experience working on system software.
Excellent programming skills in C++ and C.
Solid understanding of QNX, Linux, or real-time operating systems.
Experience developing user-space system software, with a willingness to work in kernel space and/or with low-level hardware when needed.
Knowledge of embedded systems programming, threading, synchronization mechanisms, communication frameworks, and parallel computing for building highly scalable and efficient applications.
Familiarity with CPU and GPU architectures, memory subsystems, and performance optimization.
Prior experience in autonomous vehicles, robotics, GPU, or embedded systems.
Outstanding communication and collaboration skills.

Preferred Experience

Deep understanding of system architecture, including CPU, GPU, memory, Ethernet, and storage.
Experience developing autonomous vehicles or robotic systems.
Hands-on experience in embedded development, operating systems, and real-time software.

Compensation and Benefits

Base salary range: USD 224,000–356,500 per year, determined based on location, experience, and the pay of employees in similar positions.
Eligible for equity and benefits.

Applications will be accepted at least until August 29, 2026. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment and equal opportunity employment.