Senior Software Engineer - AV Platform

NVIDIA is hiring a Senior Software Engineer - AV Platform in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
The listed pay starts 34% above the typical software engineer posting on Level.
Level classifies it as a senior role.
Level lists 2,600+ other open roles at NVIDIA.

AI in this role

The Autonomous Vehicles Platform team is looking for a Senior System Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing high-performance and scalable solutions for data collection and autonomous vehicle fleets. Our team is responsible for developing platform and middleware features for self-driving cars. This includes software that interacts with various sensors, including cameras, LiDAR, radar, GPS, IMU, and CAN. We are seeking candidates with interests in inventing, developing, and maintaining application frameworks and tools for multi-computer and heterogeneous architectures. The role involves collaborating with teams across the stack: hardware, embedded software, and cloud infrastructure.

What you'll be doing:

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.

What we need to see:

BS or MS degree in Computer Science, Electrical Engineering, or 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 in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.
Knowledge of embedded systems programming, threading, synchronization mechanisms, communication frameworks, and parallel computing to build highly scalable and efficient applications.
Familiarity with CPU/GPU architectures, memory subsystems, and performance optimization.
Prior experience working in any of the following areas: autonomous vehicles, robotics, GPU, and embedded systems.
Outstanding communication and collaboration skills.

Ways to stand out from the crowd:

Deep understanding of system architecture: 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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

How we rate this

Senior Software Engineer - AV Platform at NVIDIA rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.