Senior Simulation Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jan, 26

Salary

356500.0

Posted On

19 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, Software Engineering, Simulation, QNX, Linux, Real-Time Operating Systems, Mathematics, ADAS, Autonomous Vehicles, Embedded Systems, Debugging, Communication, Collaboration, Data Organization, Presentation

Industry

Computer Hardware Manufacturing

Description

Our Autonomous Vehicles Platform Team is searching for a hands-on simulation engineer 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 Computer Science, Electrical Engineering, or related engineering field (or equivalent experience) 8+ years of relevant experience working in software engineering and simulation Excellent C and C++ programming skills Experience designing, developing, and debugging complex systems Solid understanding of QNX, Linux and real-time operating systems Solid understanding of simulation concepts & strong foundation in mathematics. Experience working on a 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! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 22, 2025. 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 is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Collaborate with multi-functional engineering teams to integrate their work into the autonomous driving platform. Design and optimize software architectures and frameworks for real-world performance.