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Executive Data Crowd Compute Jobs in Raleigh, NC

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 ...

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

Experience in applying data analysis principles and influencing data-driven decisions ... Ways to stand out from the crowd: * Experience with job schedulers (in particular IBM Spectrum LSF ...

Senior Solution Engineer, Compute Systems

Durham, NC · On-site

$53.50 - $68.75/hr

... from the crowd: * Background with parallel programming or GPU acceleration (e.g., CUDA ... Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI) Your ...

... data platform infrastructure that provides adequate compute environment and storage to process ... Solid skills to encourage confidence, build executive presentations and guide strategic discussions ...

Deep expertise in enterprise infrastructure, including storage and data management, compute ... executives and customers to engineers and architects. * Proven ability to influence across ...

... building data centers, and enabling other high-performance computing applications. We are ... Familiarity with CPU and SoC security architecture, such as ARM Confidential Compute * Experience ...

AWS Solutions Architect

Raleigh, NC · On-site

$63 - $82.50/hr

... executives, and technical teams. • Strong knowledge of AWS compute, networking, storage, and ... Preferred : • Additional AWS certifications (Security Specialty, Advanced Networking, Data ...

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Showing results 1-20

Executive Data Crowd Compute information

See Raleigh, NC salary details

$25.8K

$90.9K

$178.9K

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

As of Aug 23, 2026, the average yearly pay for executive data crowd compute in Raleigh, NC is $90,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $117,100.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Crowd Compute vs Data Analyst?

AspectExecutive Data Crowd ComputeData Analyst
CredentialsTypically requires experience with data crowdsourcing platforms, data management, and sometimes certifications in data science or analyticsBachelor's degree in data science, statistics, or related fields; often includes certifications in data analysis tools
Work EnvironmentCollaborative, often remote, involving managing crowdsourced data projects and coordinating with multiple stakeholders
Industry UsageUsed in industries leveraging crowdsourced data collection and processing, such as market research, AI training, and data labeling
Search & Comparison IntentOften compared for roles involving managing or overseeing crowdsourced data projects

Executive Data Crowd Compute focuses on managing and coordinating crowdsourced data projects, often requiring experience with data platforms and project management. Data Analysts primarily analyze data sets to generate insights, requiring strong analytical skills and relevant certifications. While both roles work with data, Executive Data Crowd Compute emphasizes project oversight and crowdsourcing, whereas Data Analysts focus on data interpretation and reporting.

What cities near Raleigh, NC are hiring for Executive Data Crowd Compute jobs?

Cities near Raleigh, NC with the most Executive Data Crowd Compute job openings:

Infographic showing various Executive Data Crowd Compute job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $90,940 per year, or $43.7 per hour.

Senior HPC and LSF Operations Engineer

Nvidia

Durham, NC • Hybrid

$101K - $138K/yr

Full-time

Re-posted 14 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands.


What you'll be doing:

  • Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads

  • Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time

  • Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues

  • Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents

  • Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable

  • Contribute to operational standards, documentation, and best practices to improve consistency across sites

  • Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure


What we need to see:

  • Bachelor's degree in Computer Science or related field, or equivalent experience

  • Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure

  • Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments

  • Proficiency in Linux systems administration (CentOS/RHEL)

  • Strong problem solving skills and the ability to independently analyze complex system behavior under load

  • Clear and effective communication skills, including the ability to articulate technical tradeoffs and reliability metrics to engineering stakeholders


Ways to stand out from the crowd:

  • Experience implementing reliability engineering practices within HPC scheduling environments

  • Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques

  • Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards

  • Background with container technologies such as Docker, Singularity, or Podman in HPC environments

  • Experience influencing adoption of new infrastructure standards across multiple teams or sites


NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!
#LI-Hybrid

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 24, 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


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