Solutions Architect, Physical AI and Robotics

🕒 Abril 7

🏄 California – Remoto

🏄 California – Remote

💵 $152.000 - $241.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🤖 Inteligência Artificial

🎮 Jogos

Artificial Intelligence • Gaming • Automotive

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

• Serve as the primary technical domain expert for partners supporting robotics, physical AI, industrial autonomy, digital twins, and auto • Help partners use Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, OpenUSD, and related stacks to create simulation, digital twins, world-building, and robotics workflows • Guide partners on synthetic data generation, scenario coverage, data strategy, and evaluation methods for perception, planning, controls, and embodied AI • Use and advise on coding agents such as Codex, Claude Code, OpenClaw, or similar tools to accelerate digital twins development, asset creation, environment setup, robotics integration, and testing workflows • Define benchmark plans, cluster test recipes, validation methodologies, and sim-to-real readiness criteria • Advise on compute build-up for simulation, synthetic data generation, fine-tuning, and inference, including cluster sizing, storage, networking, latency targets, deployment patterns, and TCO • Help partners estimate inference compute requirements across edge, on-robot, and centralized deployments • Build reusable reference architectures, best-practice guides, deployment blueprints, and enablement assets that help partners deliver faster.

🎯 Requisitos

• MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience) • 5+ years of relevant experience developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment, as a Robotics Engineer, Autonomy Engineer, Solutions Architect, Research Engineer, or similar technical role • Strong experience in robotics, simulation, autonomy, physical AI, digital twins, or embodied AI systems • Familiarity with world building, synthetic data generation, evaluation, and sim-to-real workflows • Experience with Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, Mujoco, Gazebo, OpenUSD, or comparable tooling • Comfort using coding agents productively in technical workflows • Strong software engineering skills in Python plus C++ or Rust • Experience with digital twins development using coding agents to accelerate asset creation, environment setup, or Cosmos-style world-building workflows • Familiarity with CUDA, GPU systems, inference performance, and latency-sensitive deployment constraints • Experience with benchmarking, cluster testing, performance validation, or compute planning for robotics, autonomy workloads • Excellent communication skills and the ability to act as a deep technical advisor to partners and customers.

🏖️ Benefícios

• equity • benefits