The Autonomous Vehicles Platform Team is looking for a hands-on Senior System Software Engineer to redefine the way that cars drive. As part of this team, you will work on our driving software solutions, defining and implementing high performance safety applications.
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, Vehicle CAN etc. We are seeking software engineers with interests in inventing, developing and maintaining application framework and tools that drive self driving solutions on multi-computer and heterogeneous architectures. The role encompasses working with the various teams across the stack, from platform software and algorithms to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future.
What you'll be doing:
Software bring-up of vehicle hardware platforms and sensors such as Cameras, Radars, Lidars, etc.
Craft driving and non-driving applications for Autonomous Vehicle products
Tackle ambitious problems and streamline platform software for data collection and autonomous driving vehicle fleets
Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams
What we need to see:
BS or MS degree in EE/CS or closely related field (or equivalent experience).
3+ year of relevant work and/or lab experience.
Excellent programming skills in C++, C and Python.
Familiarity with source control tools (Git, Perforce, etc.).
Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
Thrives on writing low latency, highly performant code.
Experience in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.
Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing to build highly-scalable and efficient applications.
Familiarity with hardware architecture for CPU/GPU and memory alongside performance.
Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems, Computer Vision.
Outstanding communication skills and teamwork, as we work as a tightly-knit yet matrixed team, always discussing and learning from each other while making progress.
Ways to stand out from the crowd:
Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization.
Experience with Computer Vision, Machine Learning, Deep Learning or other Artificial Intelligence paradigms.
Experience in Autonomous Vehicle or Robotic System Building.
Hand-on experience in embedded development, operating systems and real-time software.
NVIDIA is committed to fostering a diverse 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.
