Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA’s Autonomous Vehicles Platforms Organization is looking for hands‑on System Software Engineers to join our Autonomous Vehicles Fleet Engineering Integration team. The role defines how autonomous vehicles progress from concept to large‑scale fleet operations. You will engineer the integration of core system software with AV functions to deliver an AV platform to internal and external customers. The work spans sensors, HMI, sensor data recorders, high‑speed storage solutions, perception, planning & control, safety and calibration applications that feed into the NVIDIA ADAS stack.

• Participate and lead engineering collaborations with internal/external engineering leads to drive system bring‑up of sophisticated vehicle hardware/software stacks.
• Lead the way to productize these components all the way into fleet‑scale production by crafting and advocating measurable engineering metrics.
• Dig into innovative hardware/software components to debug complex problems across sensors (Cameras, Radars, Lidars, etc.), network, perception and core underlying OS.
• Lead left‑shifting of tests into HIL and SIL platforms with the core set of issues hurting fleet.
• Conceptualize, architect and productize software tools that stem from root‑cause analysis of system and operational components, both vehicle‑specific and fleet‑wide.

• BS or MS degree in EE/CS or closely related field (or equivalent experience).
• 5+ years of experience in the relevant field.
• Excellent programming skills in C++, C and Python along with source control tools like Git and Perforce.
• Knowledge of system programming, threading, mutex, synchronization, communication and parallel computing to build highly scalable and efficient applications.
• Strong debugging abilities in highly pipelined software stacks.
• Engineering leadership experience across cross‑matrixed organizations.

• Experience in automotive vehicle and/or robotic system fleet management systems.
• Demonstrated past experience in software integration across sophisticated software stacks and a drive toward productization.
• Knowledge of Linux, QNX, Android and/or other real‑time operating systems.
• Thrive on writing low‑latency, highly performant code.
• Understanding of system architectures and a flair for performance and stability improvements across CPU, GPU, memory and storage.

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 Level3 and 184,000

USD – 287,500

USD for Level
4. You will also be eligible for equity and benefits.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is a proud equal‑opportunity employer. We do not discriminate 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.