NVIDIA
Autonomous Vehicles
SeniorSystemSoftwareEngineer-AVPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer - AV Platform at NVIDIA. Skills: System Software Engineering, Autonomous Driving Platform software, sensor integration, data collection, performance optimization, embedded systems, real-time operating systems. work on Autonomous Driving Platform software. implementing performant and scalable solutions for data collection and autonomous vehicle fleets”
Industry & Context.
What They're Looking For.
Must Have
8+ years 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
Nice to Have
Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization, Experience in Autonomous Vehicle or Robotic System Building, Hands-on experience in embedded development, operating systems and real-time software
What You'll Do.
work on Autonomous Driving Platform software
implementing performant and scalable solutions for data collection and autonomous vehicle fleets
developing platform and middleware features for self-driving cars
software that interacts with various sensors including Cameras
and maintaining application framework and tools on multi-computer and heterogeneous architectures
integrating sensors into our AV driving software stack
develop and improve startup user experience of our AV stack
work on areas such as sensor abstraction layers
data processing & performance optimization
and service frameworks
How You'll Work.
Team & Collaboration
working with various teams across the stack, from platform and embedded software to cloud infrastructure; Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams
Full Job Description
The Autonomous Vehicles Platform team is looking for a hands-on System 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 that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures. 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! **What you 'll be doing:** * Integrating sensors into our AV driving software stack. * Develop and improve startup user experience of our AV stack. * Work on areas such as sensor abstraction layers, data processing & performance optimization, data serialization, and service frameworks. * Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams. **What we need to see:** * BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience). * 8+ years 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. * Familiari
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