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Trainee Data Crowd Compute Jobs (NOW HIRING)

OR

$63 - $83/hr

Advise on compute build-up for simulation, synthetic data generation, fine-tuning, and inference ... Ways to stand out from the crowd: * Built simulation workflows, digital twins, synthetic data ...

OR · On-site

$104K - $143K/yr

Deep understanding of data center infrastructure, including rack power/cooling, cable management ... Ways to stand out from the crowd: * Deep expertise with NVIDIA's compute and network product ...

... data-center-grade AI compute in a deskside form factor. DGX Station is shipped to OEM and OSV ... Ways to stand out from the crowd: * Experience optimizing LLM training or inference on multi-GPU ...

Senior HPC and LSF Operations Engineer

Austin, TX · Hybrid

$103K - $141K/yr

... other compute-intensive workloads * Analyze scheduler and infrastructure performance data to ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

Senior HPC and LSF Operations Engineer

Westford, MA · Hybrid

$108K - $148K/yr

... other compute-intensive workloads * Analyze scheduler and infrastructure performance data to ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

Senior HPC and LSF Operations Engineer

Durham, NC · Hybrid

$101K - $138K/yr

... other compute-intensive workloads * Analyze scheduler and infrastructure performance data to ... crowd: * Experience implementing reliability engineering practices within HPC scheduling ...

OR · On-site

Collaborating with other specialists in compute hardware, software, and storage domains, you will ... Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN (local area ...

Senior Data Center System Architect

Santa Clara, CA · On-site

$79 - $105.75/hr

MS preferred Ways to stand out from the crowd: * Experience with large projects involving co-development of custom processors or accelerators, systems and software * Familiarity with GPU compute and ...

OR · On-site

$63 - $83/hr

We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution ... You will need to visit customer data center during bring up phase. * Identifying new project ...

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Trainee Data Crowd Compute information

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How much do trainee data crowd compute jobs pay per year?

As of Jun 7, 2026, the average yearly pay for trainee data crowd compute in the United States is $37,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Data Crowd Compute jobs? The most popular types of Data Crowd Compute jobs are:
Infographic showing various Trainee Data Crowd Compute job openings in the United States as of May 2026, with employment types broken down into 27% As Needed, 66% Full Time, 6% Part Time, and 1% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $37,968 per year, or $18.3 per hour.
Solutions Architect, Physical AI and Robotics

Solutions Architect, Physical AI and Robotics

Nvidia

OR

$63 - $83/hr

Full-time

Posted 29 days ago


Job description

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.

What you'll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.

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.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993