{"schemaVersion":"jobsearcher.job.v1","id":"f1398dbe1d55f4d71b97e907","url":"https://jobsearcher.com/jobs/f1398dbe1d55f4d71b97e907","canonicalUrl":"https://jobsearcher.com/jobs/f1398dbe1d55f4d71b97e907","title":"Senior Solutions Architect, Robotics Simulation","description":"Overview\nIn this role, you will be at the forefront of translating robotics research into scalable, real-world solutions. You’ll partner with researchers, engineers, and customers to extend NVIDIA’s simulation stack, optimize end-to-end workflows, and drive adoption of Physical AI platforms. You will shape how partners rig, simulate, and validate robotics workflows, blending physics-based simulation with learned models. This is a hands-on, impact-focused position in a collaborative, cross-functional environment.\n\nCompensation / Benefitsequitybenefitsremote work optionscompetitive salarycareer growth opportunitiescollaboration with leading researchers\nResponsibilitiesAdopt, extend, and scale NVIDIA’s simulation technologies with robotics partnersBuild and optimize end-to-end workflows for rigging, physics, multi-solver integration, rendering, sensor simulation, and synthetic data generationDiagnose performance and integration bottlenecks across simulation, rendering, data movement, and large-scale workloadsLead evaluations, proofs of concept, workshops, and reference implementations to accelerate platform adoptionValidate hybrid physics and neural-model approaches for learned-policy workflows and sim-to-real deploymentCollaborate with NVIDIA engineering, product, and business teams to translate ecosystem needs into product feedback and roadmaps\nKey requirementsBS/MS/PhD or equivalent in Robotics, CS, Mechanical/Electrical Engineering, or related field5+ years hands-on experience building robotics simulation applicationsDeep expertise with Isaac Sim, MuJoCo, Gazebo, or Drake and core simulation domains (physics, rendering, sensor modeling, rigging)Familiarity with ROS 2 and robotics formats (OpenUSD, URDF, MJCF)Proficiency in Python or C++, with experience integrating APIs and distributed systemsUnderstanding of GPU-accelerated computing for robotics simulation and ML workflowsExcellent communication and collaboration skillsstrong communicationcollaboration across diverse audiencesproblem-solving orientationIsaac SimMuJoCoGazebo","company":"NVIDIA","rawCompany":"nvidia","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:01:40.571Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Solutions Architect, Robotics Simulation","description":"Overview\nIn this role, you will be at the forefront of translating robotics research into scalable, real-world solutions. You’ll partner with researchers, engineers, and customers to extend NVIDIA’s simulation stack, optimize end-to-end workflows, and drive adoption of Physical AI platforms. You will shape how partners rig, simulate, and validate robotics workflows, blending physics-based simulation with learned models. This is a hands-on, impact-focused position in a collaborative, cross-functional environment.\n\nCompensation / Benefitsequitybenefitsremote work optionscompetitive salarycareer growth opportunitiescollaboration with leading researchers\nResponsibilitiesAdopt, extend, and scale NVIDIA’s simulation technologies with robotics partnersBuild and optimize end-to-end workflows for rigging, physics, multi-solver integration, rendering, sensor simulation, and synthetic data generationDiagnose performance and integration bottlenecks across simulation, rendering, data movement, and large-scale workloadsLead evaluations, proofs of concept, workshops, and reference implementations to accelerate platform adoptionValidate hybrid physics and neural-model approaches for learned-policy workflows and sim-to-real deploymentCollaborate with NVIDIA engineering, product, and business teams to translate ecosystem needs into product feedback and roadmaps\nKey requirementsBS/MS/PhD or equivalent in Robotics, CS, Mechanical/Electrical Engineering, or related field5+ years hands-on experience building robotics simulation applicationsDeep expertise with Isaac Sim, MuJoCo, Gazebo, or Drake and core simulation domains (physics, rendering, sensor modeling, rigging)Familiarity with ROS 2 and robotics formats (OpenUSD, URDF, MJCF)Proficiency in Python or C++, with experience integrating APIs and distributed systemsUnderstanding of GPU-accelerated computing for robotics simulation and ML workflowsExcellent communication and collaboration skillsstrong communicationcollaboration across diverse audiencesproblem-solving orientationIsaac SimMuJoCoGazebo","datePosted":"2026-09-15T04:01:40.571Z","dateModified":"2026-09-15T04:01:40.571Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f1398dbe1d55f4d71b97e907"},"url":"https://jobsearcher.com/jobs/f1398dbe1d55f4d71b97e907"}}