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Principal Engineer – AV Simulation and Evaluation

🕒 4 dias atrás

🏄 California – Remoto

infoinfo

💵 $272.000 - $431.250 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da NVIDIA, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 4 dias atrás

Ainda aberta no site da NVIDIA. Verificada 34 minutos atrás.

Logo of NVIDIA

NVIDIA

10.000+ funcionários

Fundada em 1993

🏥 Saúde

🏭 Manufatura

🤖 Inteligência Artificial

Healthcare • Manufacturing • Artificial Intelligence

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• Highly competitive salaries • Comprehensive benefits package • Equity

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