E-3 Visa Robotics Jobs
Robotics engineers and automation specialists can pursue U.S. roles with E-3 visa sponsorship, a treaty-based visa exclusive to Australian citizens with no lottery and no annual cap. You'll need a bachelor's degree in robotics, mechanical engineering, or a related field, plus a U.S. employer willing to file a Labor Condition Application before your consulate appointment.
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Get Access To All JobsINTRODUCTION
NVIDIA is seeking an outstanding Physical AI & Robotics Solutions Architect to join our growing Partner Enablement team. In this role, you will serve as a deep technical advisor to partners supporting customer needs in simulation, digital twins, world building, robotics, industrial autonomy, and auto. The Partner Solutions Architect team is dedicated to enabling ecosystem partners to build category-defining enterprise Physical AI systems. You will help partners use Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies.
ROLE AND RESPONSIBILITIES
- 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.
BASIC QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- Built simulation workflows, digital twins, synthetic data systems, or benchmark suites used by external teams or customers.
- Strong familiarity with Omniverse, OpenUSD, Cosmos, or embodied AI toolchains.
- Experience with edge inference, real-time systems, hardware-in-the-loop testing, or safety-critical validation.
- Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure.
- Comfortable translating robotics and simulation requirements into cluster sizing, deployment plans, and TCO guidance.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2015688
INTRODUCTION
NVIDIA is seeking an outstanding Physical AI & Robotics Solutions Architect to join our growing Partner Enablement team. In this role, you will serve as a deep technical advisor to partners supporting customer needs in simulation, digital twins, world building, robotics, industrial autonomy, and auto. The Partner Solutions Architect team is dedicated to enabling ecosystem partners to build category-defining enterprise Physical AI systems. You will help partners use Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies.
ROLE AND RESPONSIBILITIES
- 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.
BASIC QUALIFICATIONS
- 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.
PREFERRED QUALIFICATIONS
- Built simulation workflows, digital twins, synthetic data systems, or benchmark suites used by external teams or customers.
- Strong familiarity with Omniverse, OpenUSD, Cosmos, or embodied AI toolchains.
- Experience with edge inference, real-time systems, hardware-in-the-loop testing, or safety-critical validation.
- Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure.
- Comfortable translating robotics and simulation requirements into cluster sizing, deployment plans, and TCO guidance.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2015688
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Robotics
Translate your Australian credentials for U.S. employers
A three-year Australian engineering degree satisfies E-3 visa requirements, but U.S. hiring managers may question it. Get a credential evaluation from a DOL-recognized agency before interviews so you can confirm equivalency on the spot.
Target employers with robotics systems integration teams
Manufacturers, logistics companies, and defense contractors running active automation programs are far more likely to sponsor E-3 visas than general engineering consultancies. Filter your search to roles where the job description references ROS, PLC programming, or specific robotic hardware platforms.
Use DOL's LCA disclosure data to verify sponsorship history
Search the DOL's Office of Foreign Labor Certification disclosure files to confirm a robotics employer has certified LCAs for your target job title. Prior LCA filings in your SOC code signal an established sponsorship process, not a first-time attempt.
Search Migrate Mate for verified E-3 sponsorship roles
Migrate Mate filters robotics and automation jobs by confirmed E-3 sponsorship history, so you're not cold-applying to companies that have never filed an LCA. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you've secured an offer.
Clarify multi-site work arrangements before the LCA is filed
Robotics roles often involve on-site commissioning at client facilities. The LCA must list the primary worksite, and substantial work at unlisted locations can create compliance issues. Confirm the employment structure with your employer before the DOL filing begins.
Request E-3 over H-1B when both options are raised
If your employer mentions H-1B visa, redirect the conversation to the E-3. There's no lottery, no October 1 start-date constraint, and a consulate appointment in Sydney or Melbourne typically moves faster than USCIS petition processing. Bring this comparison to the HR or legal contact early.
E-3 Visa Robotics: Frequently Asked Questions
How do I find robotics jobs in the U.S. that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with confirmed E-3 sponsorship. Rather than manually filtering general job boards, you can search robotics and automation positions where employers already have LCA filing experience. This cuts out the back-and-forth of asking companies whether they'll sponsor and lets you focus on roles where the process is already understood.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a robotics role qualify as a specialty occupation for the E-3?
Yes, robotics engineer, automation engineer, and related titles consistently qualify as specialty occupations because they require at least a bachelor's degree in a specific technical field such as mechanical engineering, electrical engineering, or robotics. The DOL evaluates the job duties and degree requirement during the LCA review. Generic technician roles without a degree requirement typically don't qualify, so your offer letter should explicitly state the educational requirement.
How does the E-3 visa compare to the H-1B for robotics professionals?
The E-3 has no lottery and no annual cap, so you're not competing for one of 85,000 H-1B slots each April. You can apply any time of year through an Australian consulate, and initial processing typically takes two to four weeks once the LCA is certified. The H-1B requires a USCIS petition and a minimum October 1 employment start date if selected in the lottery, adding months to the timeline and introducing uncertainty the E-3 eliminates entirely.
Can I change robotics employers while on an E-3 visa?
Yes, but the new employer must file a fresh LCA with the DOL and you'll need a new E-3 visa stamp if yours reflects the prior employer's details. You can begin working for the new employer once the LCA is certified and your new visa is issued at a consulate. There's no portability provision like H-1B's AC21, so the process restarts fully with each employer change.