Senior Systems Engineer, DriveAV - Autonomous Vehicles

Santa Clara, California, United States

• Category: Systems Engineering

Description

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

The Automotive Vehicles team is searching for a creative and expert Systems Engineer to help us expand NVIDIA's autonomous vehicle solution. You will participate in a focused effort to develop and productize ground-breaking perception solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with a world-wide team of systems engineers, AI applied researchers and software engineers in building a world-class perception and mapping and localization solutions, while achieving or exceeding all NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant!

What you will be doing:

• Develop perception, mapping and localization system requirements from use cases and customer requirements

• Perform analysis to define performance requirements and allocate performance budgets

• Formulate test cases and critical metrics to ensure compliance with requirements

• Develop analysis and test evaluation tools and dashboards

• Work closely with hardware engineering, developer and product teams to ensure we build the right product

• Find innovative solutions to constantly improve our processes for both requirement's decomposition, traceability and verification

• Establish relationships with all relevant partners across the organization

• Cultivate systems engineering mentality within the organization

What we need to see:

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

• 8+ years systems engineering experience on complex systems, systems analysis (e.g. error budget creation, modeling of scenarios), data analysis, and statistical analysis

• Software development experience and strong coding skills

• Expert in Systems Engineering principles and various product life cycles

• Proven understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA)

• Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations

Ways to stand out from the crowd:

• Experience with autonomous vehicles and/or machine learning

• You have experience working with large datasets

• Software engineering experience and proficiency with SQL and Python or C++

• Experience using Model-Based Systems Engineering (MBSE) using SysML

The base salary range is 184,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

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.

Company

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NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.