Senior Security Software Engineer - Av Platform

at Nvidia

USD 184,000-356,500 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.

Algorithms Communication @ 4 Computer Vision @ 4 GPU @ 3 Linux @ 4 Performance Optimization @ 7 Python @ 6 Robotics @ 4 Security System Architecture @ 7

Details

The Autonomous Vehicles Platform team is looking for a hands-on Cybersecurity Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant 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 security features that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in implementing security concepts, developing state-of-the-art security features for AV Platform. The role encompasses working with various teams across the stack, from platform and embedded software 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!

Responsibilities

Integrating security features into our AV driving software stack.
Develop and improve security work-products for our AV stack.
Working on security-related software code ranging from sensor abstraction layers to data processing to middleware software.
Work on security governance topics and guide other teams with security mechanism implementation.
Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams.

Requirements

BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
8+ year of professional experience working on system software.
Excellent programming skills in C++, C and Python.
Familiarity with source control tools.
Solid understanding of Linux, QNX, ROS, and/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 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.

Ways to stand out from the crowd

Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization.
Experience in Autonomous Vehicle or Robotic system building.
Hand-on experience in embedded development, operating systems and real-time software.