Principal Engineer – AV Simulation and Evaluation

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $272k - $431.3k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• Design and build simulation and evaluation infrastructure used by AV and ML engineers to accelerate development of Level 4 self-driving capabilities • Evolve efficient data formats for AV evaluation, designing for performance, interoperability, and correctness across Protobuf, Arrow, Parquet, and MCAP • Collaborate with AI and Robotics teams to understand their simulation and evaluation needs • Build reliable services, APIs, data pipelines, and AV simulation and evaluation workflows and frameworks operating at the scale of hundreds of millions of runs per day • Optimize performance through profiling, parallelization, memory efficiency, query optimization, and protocol redesign • Build diagnostic and observability tooling for understanding and debugging data and test pipelines • Drive adoption of new standards and technologies in the physical AI tooling ecosystem

🎯 Requirements

• BS or MS in Computer Science (or equivalent experience) • 15+ years of professional experience in software engineering with focus on distributed systems and data-intensive applications • Proficiency in Go, Python, or Java, and experience operating across the full backend stack • Deep experience building high-performance low-latency data systems: binary serialization, efficient data encoding, columnar data formats • Strong understanding of distributed systems: concurrency, consistency tradeoffs, latency optimization, and compute-efficient design • Ability to identify and fix performance bottlenecks through optimization across the stack, including redesigning protocols and data models • Experience designing and implementing workflows across distributed systems • Past success building foundational systems that multiple teams depend on, with high reliability and scale • Communication skills to translate nuanced system design to technical and non-technical partners and talk to users in their language • Ability to lead cross-functional projects, influence without authority, and get work done across organizational boundaries • Experience building orchestration or workflow execution systems, such as Temporal.io or similar workflow engines • Experience working with sensor data pipelines: ROS, MCAP, AV logs, Parquet, Apache Arrow, or similar domain formats • Understanding of AV and Robotics concepts such as kinematics, control systems, computer vision, motion planning, and/or neural networks • Experience improving legacy systems through incremental migration, deprecation, and architecture cleanup

🏖️ Benefits

• Highly competitive salaries • Comprehensive benefits package • Equity

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