Nvidia Senior Software Systems Engineer - Autonomous Vehicles 

United States, Texas 

391158847

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