Principal AV Simulation & Evaluation Architect

NVIDIA Corporation; Santa Clara (CA); On-site; USD 272,000 - 431,000; Full time

Job summary

NVIDIA seeks a Principal Software Engineer to architect and build core platform systems for Physical AI, including AV and robotics simulation infrastructure. You will own end-to-end areas such as AV performance evaluation, data pipelines, and high-performance data formats, collaborating with AI and Robotics teams across cloud, edge, and on-road environments.

You will design scalable, low-latency backends, optimize protocols, and build observability tooling to support hundreds of millions of runs

Qualifications

• 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 system design to technical and non-technical partners.
• Ability to lead cross-functional projects and work across organizational boundaries.

Responsibilities

• Design and build simulation and evaluation infrastructure used by AV and ML engineers.
• Evolve efficient data formats for AV evaluation across Protobuf, Arrow, Parquet, and MCAP.
• Collaborate with AI and Robotics teams to understand simulation and evaluation needs.
• Build reliable services, APIs, data pipelines, and AV simulation workflows at massive scale.
• Optimize performance through profiling, parallelization, memory efficiency, and protocol redesign.
• Develop diagnostics and observability tooling for data and test pipelines.
• Drive adoption of new standards and technologies in the physical AI tooling ecosystem.

Skills

Go

Python

Java

Distributed systems

Low-latency data

Data pipelines

Columnar formats

Education

BS or MS in Computer Science (or equivalent experience)

Tools

Protobuf

Apache Arrow

Parquet

MCAP

ROS

Temporal.io

Job description

NVIDIA seeks a Principal Software Engineer to architect and build core platform systems for Physical AI, including AV and robotics simulation infrastructure. You will own end-to-end areas such as AV performance evaluation, data pipelines, and high-performance data formats, collaborating with AI and Robotics teams across cloud, edge, and on-road environments.

You will design scalable, low-latency backends, optimize protocols, and build observability tooling to support hundreds of millions of runs