Senior Software Systems Engineer – Autonomous Vehicles

🕒 May 7

🏄 California – Remote

🏄 California – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop, evaluate, and build architectures for SAE Level 2 to Level 4 driver assistance 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

🎯 Requirements

• 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. • Experience with complex hardware and software systems • Experience with Model-Based Systems Engineering methods and tools, especially with Magic Cyber Systems Engineer / Cameo • Experience with software and/or tool development with a focus on modelling, analysis, utility languages such as Python and the use of AI tooling to enhance requirement and test coverage analysis. • 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)

🏖️ Benefits

• equity • benefits