Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of professional experience working on system software.
- Education
- BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
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Role Summary
The Autonomous Vehicles Platform team is developing platform and middleware software for self-driving cars, including systems that interact with cameras, LIDAR, RADAR, GPS, IMU, and vehicle CAN. This role focuses on performant and scalable software for data collection and autonomous vehicle fleets across multi-computer and heterogeneous architectures.
What You'll Do
- Integrating sensors into the AV driving software stack
- Developing and improving the startup user experience of the AV stack
- Developing data recording and mining software
- Working on sensor abstraction layers, data processing and performance optimization, data serialization, and service frameworks
- Collaborating with hardware, platform software, product, safety, performance, algorithms, and cloud teams
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of professional system software experience; programming skills in C++, C, and Python; familiarity with source control tools; understanding of Linux, QNX, ROS, and/or real-time operating systems; experience developing user-space system software; knowledge of embedded system programming, threading, mutex, synchronization, communication, and parallel computing; familiarity with CPU/GPU and memory hardware architecture; outstanding communication skills and teamwork.
Required
- BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 5+ 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
- Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing
- Familiarity with hardware architecture for CPU/GPU and memory alongside performance
Preferred
- Prior experience working in Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, or Embedded Systems
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Autonomous Vehicles Platform team is looking for a hands-on Senior 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.
Develop data recording and mining software.
Working on areas such as sensor abstraction layers, data processing and 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).
5+ 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.
Prior experience working in any of the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems.
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.
Hands-on experience in embedded development, operating systems, and real-time software.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.