Simulation Architect - Autonomous Vehicles Platform

Posted 7 Days Ago
Be an Early Applicant
Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Simulation Architect will collaborate with various engineering teams to design and optimize software architectures for an autonomous vehicles platform, focusing on simulation frameworks and solving complex technical problems.
Summary Generated by Built In

Our Autonomous Vehicles Platform Team is searching for a hands-on systems and software platform architect to design ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars.  You will collaborate with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving platform.

What you’ll be doing:

  • Collaborate across platform software, infrastructure, and ADAS algorithm teams to translate replay and simulation requirements into replay/simulation framework architecture and design 

  • Drive technical solutions for new concepts related to replay/simulation framework and infrastructure

  • Design, document and optimize software architectures and frameworks for real-world performance while matching or exceeding customer requirements

  • Engage in exciting, fun and challenging work involving a plethora of unsolved problems

What we need to see:

  • BS, MS in CS/CE/EE or related engineering field or equivalent experience

  • 10+ years' experience

  • Excellent C and C++ programming skills

  • Experience designing, developing, and debugging complex systems

  • Solid understanding of QNX, Linux and real-time operating systems

  • Experience in designing and deploying large scale simulation system (open and close loop) for an AV stack

  • Ability to self-manage and adapt in a dynamic environment

  • Possess excellent written and verbal communication skills

Ways to stand out from the crowd:

  • Knowledge of automotive systems, notably ADAS applications and preferably autonomous driving systems

  • Embedded system, SW/HW cross-domain knowledge

  • Hands-on and work well within a team of system, software and infrastructure engineers, with a significant level of detail orientation and a penchant for data organization and presentation

  • Excellent communication, presentation, social, and analytical skills; the ability to communicate complex interaction concepts clearly and persuasively across different audiences and varying levels of the organization.

NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous, and love a challenge, we would love to hear from you.

The base salary range is 224,000 USD - 425,500 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.

Top Skills

C
C++
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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