Senior Software Systems Engineer - Autonomous Vehicles - job 1 of 3
The Automotive Vehicles team is searching for a creative and experienced Software Systems Engineer to help bring NVIDIA's next generation autonomous vehicle solutions to market! You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have real-world product expectations, customers, and competition.
What you will be doing:
Develop, evaluate, and build architectures for Level 2 to Level 4 self-driving driver support and self-driving vehicle technologies
Characterize autonomous vehicle interactions relative to vehicle requirements to drive data collection for system training and verification
Drive autonomous vehicle system verification activities, including architecture and design verification, test strategy development working with the System Integration & Verification Test Leads, and reviewing and prioritizing test results
Lead and communicate data analysis, working with product and engineering teams to drive design decisions relative to requirements and system behavioral needs
Develop methods to analyze and compare the impact of ODDs on relevant performance metrics, translating data and analysis into impactful recommendations
What we need to see:
BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field, or equivalent experience.
5+ years of proven industry experience
Strong analytics and architectural background in a development and production setting
Experience in systems engineering, robotics development, or systems integration and test
Strong leadership and interpersonal skills, with the ability to drive alignment between product development, engineering, and test teams.
Ways to stand out from the crowd:
Experience with complex hardware and software systems
Experience with software and/or tool development with a focus on modelling, analysis, utility languages such as Python. Success applying the systems V-Model to sophisticated engineering projects, ideally advanced driver assistance or autonomous vehicle systems and associated standards (e.g. ISO 26262)
Deep technical background in at least one focus area of robotic systems development (e.g. sensing, perception, motion control)
Experience with Model-Based Systems Engineering methods and tools, especially with Magic Cyber Systems Engineer / Cameo
You will also be eligible for equity and benefits.
Average salary estimate
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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