Principal Systems Integration and Test Engineer - Autonomous Vehicles

Posted:
9/17/2024, 10:09:14 AM

Location(s):
California, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Software Engineering

The Automotive Vehicles team is searching for a creative and expert Systems Integration & Test Engineer to help us bring NVIDIA's autonomous vehicle solution out to the world. You will participate in a focused effort to develop and productize ground-breaking product solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with a team of AI applied researchers and engineers in building a full autonomous vehicle stack, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant! We have real customers and competition - come join us to adapt quickly and test things!

What you will be doing:

  • Develop and improve existing software integration testing for NDAS

  • Triage, debug and create urgent fixes for complicated system integration issues

  • Develop and lead integration test frameworks; from framework design to easy test creation tooling and eventually strategy for testing at scale for integration coverage

  • Partner with SIL & HIL development engineering to highlight tooling gaps in existing test frameworks and testing harnesses

  • Partner with NDAS development teams to bridge the testing and evaluation gaps

  • Partner with safety and V&V to enable test coverage for product release

What we need to see:

  • BS, MS, or PhD in Engineering, Physics, Computer Science, or another related field or equivalent experience

  • 15+ years experience in test engineering, robotics, large scale architecture management or systems engineering

  • Excellent programming skills in C++, C and Python along with source control tools like Git, Perforce etc

  • Expertise in reviewing C++ software changes quickly, strong ability to connect the dots between the various parts of the software stack and list out impact/risk of the changes

  • Proven expertise in crafting triage and debug tools using C++, C & Python

  • Experience with Linux, QNX or other real-time operating systems, GPU, Sensor technologies towards image processing, computer vision, and multimedia are valued

  • 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 and operating systems

  • Experience with integrating and debugging large scale software in Automotive Vehicle and/or Robotic Systems

  • Demonstrated past experience in software integration across sophisticated software stacks and drive to productization

  • Strong communication and interpersonal skills, with the ability to drive test design alignment across multiple groups

  • 5+ years of experience working with, or on, CI/CD, VnV, and/or development testing programs

Ways to stand out from the crowd:

  • Worked with autonomous vehicles and/or machine learning

  • Knowledge with ROS like middleware SW and real-time OS

  • Experience compute performance measurement tooling and profilers

  • Experience working with simulators and crafting both SIL & HIL tests

  • Worked with start-ups and/or early-stage products

The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality