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Weekend Data Crowd Compute Jobs (NOW HIRING)

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 ...

Nvidia

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 ...

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Weekend Data Crowd Compute information

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$129.7K

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

As of Aug 7, 2026, the average yearly pay for weekend data crowd compute in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Weekend Data Crowd Compute jobs? Cities with the most Weekend Data Crowd Compute job openings:
What are the most commonly searched types of Data Crowd Compute jobs? The most popular types of Data Crowd Compute jobs are:
What states have the most Weekend Data Crowd Compute jobs? States with the most job openings for Weekend Data Crowd Compute jobs include:
Weekend Data Crowd Compute jobs near you
Infographic showing various Weekend Data Crowd Compute job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Product Quality Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$103K - $140K/yr

Full-time

Re-posted 22 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 widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and hardworking people in the world working for us. If you're creative, autonomous, and energized by deep technical problem solving, we want to hear from you!
We are looking for a Product Quality Engineer to join our Systems Product Quality team as the system-level power debug domain expert for customer returns and field failures. This role will lead technical failure analysis for NVIDIA data center systems, compute trays, and compute modules, with special focus on customer-reported field issues involving power delivery, power sequencing, and intermittent power events.
Your hands-on debug capability, structured root-cause mindset, and ability to connect board-level signals with system-level behavior will be essential to driving customer-return investigations from symptom confirmation through technical root cause and corrective action closure. Own customer-return and field-failure power investigations from symptom confirmation through containment, root cause, corrective action, and quality learning closure.
What you'll be doing:
  • Lead system-level power failure analysis for customer returns and field failures across data center systems, compute trays, and compute modules.
  • Confirm, reproduce, and isolate complex power failures such as no power, intermittent boot, unexpected shutdown, brown-out, rail droop, over-current protection, under-voltage protection, sequencing faults, hot-plug events, and margin-related failures.
  • Analyze system power architecture from AC/DC input through PSU, PDU, hot-swap, eFuse, VR, regulator, current-sense, and board-level power rails to determine the true failure boundary.
  • Use oscilloscopes, current probes, DMMs, BMC-reported voltage/current readings, system event logs, and Linux-based diagnostics to build fact-based debug conclusions.
  • Correlate field return data, customer logs, firmware behavior, board schematics, PCB layout, BOM history, and telemetry trends to identify root cause and assess risk.
  • Partner with hardware design, power design, firmware, customer quality, reliability, manufacturing, and supplier quality teams to resolve critical customer and field issues.
  • Drive containment, failure analysis, corrective and preventive actions, and defect-prevention feedback with clear ownership and closure criteria.
  • Create concise technical reports, quality updates, and executive-ready summaries that communicate failure mechanism, impact, risk, mitigation, and next steps.

What we need to see:
  • Bachelor's degree or equivalent experience in Electrical Engineering, Electronic Engineering, or a related field; Master's degree preferred.
  • 5+ years of hands-on experience in hardware debug, customer return analysis, field failure analysis, or power electronics support for complex electronic systems.
  • Strong understanding of system power delivery, DC-DC converters, multiphase VRs, regulators, power sequencing, current sharing, sense circuits, protection circuits, and high-current low-voltage rails.
  • Proven ability to debug power issues at system, board, and component level by reading schematics, PCB layouts, power trees, design specifications, and test logs.
  • Experience with Linux systems, Linux shell scripts, BMC/IPMI/Redfish-style logs or telemetry, and basic automation for data collection and debug efficiency.
  • Strong analytical and problem-solving skills, including structured troubleshooting, design of experiments, root cause analysis, statistical process control, and quality data analysis.
  • Ability to work across engineering, customer quality, supplier, and customer-facing teams while maintaining clear technical ownership and urgency.
  • Excellent written and spoken English, strong documentation habits, and the ability to explain complex debug findings to both technical and non-technical audiences.
  • High sense of responsibility, self-motivation, collaborative working style, and comfort driving ambiguous technical issues to closure.

Ways to stand out from the crowd:
  • Experience debugging high-power server or data center platforms in customer-return or field-failure analysis workflows.
  • Hands-on familiarity with PSU/PDU behavior, rack-level power distribution, power capping, power transients, or data center deployment conditions observed in field returns.
  • Experience with board-level power design, hardware verification, power integrity measurement, or design-for-debug improvements.
  • Knowledge of quality and reliability concepts, 8D problem solving, customer failure reporting, RMA/FA workflow, and supplier corrective action processes.
  • Ability to confirm, bound, and translate power-related field failures into corrective actions, debug playbooks, and prevention feedback for design, customer quality, and supplier teams.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, 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 116,000 USD - 184,000 USD for Level 3, and 148,000 USD - 235,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 18, 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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