Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA•Santa Clara, CA

1d•$152,000 - $287,500

About The Position

NVIDIA’s Autonomous Vehicles Platforms Organization is looking for hands-on System Software Engineers to join our Autonomous Vehicles Fleet Engineering Integration team to define the way autonomous vehicles are taken from concept to large scale fleet operations! This is a visible role that offers an opportunity to closely work with outstanding engineers across different facets of the core platform and AV functions that powers NVIDIA's system software stack behind autonomous vehicles. As part of this group, you will be engineering the integration of core system software with AV functions software to deliver outstanding AV Platform to our internal and external customers. The role cuts across multiple engineering groups like sensors, HMI, sensor data recorders, high speed storage solutions which form the basis for perception, planning & control, safety and sensor calibration applications delivering into the NVIDIA ADAS stack.

Requirements

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, Perforce, etc.
Knowledge about 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 skills across cross matrixed organizations

Nice To Haves

Experience in Automotive Vehicle and/or Robotic System fleet management systems.
Demonstrated past experience in software integration across sophisticated software stacks and drive to productization.
Knowledge on 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/Storage.

Responsibilities

Participate and lead engineering collaborations with internal/external engineering leads to drive system bring ups 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 (such as 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 out of root cause analysis of system and operational components; both vehicle specific and fleet wide.