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Trainee Data Crowd Compute Jobs (NOW HIRING)

Nvidia

Senior Product Quality Engineer

Santa Clara, CA · On-site

$103K - $140K/yr

This role will lead technical failure analysis for NVIDIA data center systems, compute trays, and ... Ways to stand out from the crowd: * Experience debugging high-power server or data center platforms ...

Nvidia

Ways to stand out from the crowd: * Knowledge and working experience with InfiniBand, RDMA/RoCEv2 ... Clustering or HPC Data-Center technologies including Upper Layer Protocols (i.e., MPI, NCCL)

Nvidia

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 ...

Nvidia

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 ...

Nvidia

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 ...

WSP

Construction Inspector Trainee

Asheville, NC · On-site

... Inspector Trainee for our Asheville, NC office. Be involved in projects with our Construction ... Ability to keep accurate records and compute field data. * Ability to read and interpret ...

WSP

Construction Inspector Trainee

Asheville, NC · On-site

... Inspector Trainee for our Asheville, NC office. Be involved in projects with our Construction ... Ability to keep accurate records and compute field data. * Ability to read and interpret ...

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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 Aug 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:
Trainee Data Crowd Compute jobs near you
Infographic showing various Trainee Data Crowd Compute job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 86% Full Time, and 9% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,968 per year, or $18.3 per hour.

Senior Program Manager, Partner Co-Innovation Labs

Nvidia

Santa Clara, CA • On-site

$136K - $136K/yr

Full-time

Posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is seeking a Senior Program Manager for partner Co-Innovation Labs to lead integrated execution across our most meaningful strategic programs. This role sits at the intersection of applied research, account leadership, legal, and partner collaborators. It is responsible for converting strategy and success criteria into delivery.

This role requires a technical program operator who can run cross-company governance, drive decision velocity, and maintain alignment across roadmap, compute planning, partner commitments, and delivery risk.

What You'll Be Doing:

  • Own the integrated operating plan across lab workstreams spanning data, models, tools, compute, and ecosystem delivery.

  • Run governance cadence: operating reviews, success-criteria checkpoints, and program committee execution.

  • Maintain and drive decision logs, risk registers, dependency maps, and escalation pathways.

  • Coordinate DGX Cloud and compute planning with internal allocation partners and technical owners.

  • Drive multi-functional execution across Product Development, Engineering, Applied Research, Legal, and Account teams.

  • Build executive-ready status and decision materials with clear asks, risks, and mitigation paths.

  • Keep program execution aligned with external commitments and the realities of the internal roadmap.

What We Need To See:

  • Master's or equivalent experience in life sciences technology, computational biology, engineering, computer science, or related domain.

  • 8+ years in pharma R&D technology, AI platforms, computational biology programs, or adjacent life science technical environments.

  • 5+ years leading large multi-functional programs with external strategic partners.

  • Proven track record delivering complex AI programs in regulated or high-stakes enterprise settings.

  • Strong proficiency in AI platform lifecycle: data, models, inference, infrastructure, and compute governance.

  • Operational excellence in planning, sequencing, issue resolution, and customer alignment.

  • Excellent executive interpersonal skills.

Ways To Stand Out From The Crowd:

  • Prior ownership of AI transformation programs in pharma with measurable outcomes.

  • Track record in building and sustaining joint operating models with external partners.

  • Experience managing compute prioritisation and usage governance tied to achievements.

  • Familiarity with the NVIDIA AI stack and the BioNeMo ecosystem.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 4, and 176,000 USD - 276,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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