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Senior Crowd Compute Jobs in California (NOW HIRING)

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$127K - $173K/yr

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

Nvidia

Senior AI Compute Engineer - NVIS

Santa Clara, CA · On-site

$127K - $173K/yr

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team ... Ways to stand out from crowd: * InfiniBand experience. * Experience with GPU (Graphics Processing ...

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Senior Crowd Compute information

What is the difference between Senior Crowd Compute vs Data Labeler?

AspectSenior Crowd ComputeData Labeler
Required CredentialsExperience in crowdsourcing platforms, basic technical skillsBasic computer skills, attention to detail
Work EnvironmentRemote, collaborative, project-basedRemote or on-site, task-specific
Employer & Industry UsageTech companies, AI/ML projectsAI/ML, data annotation firms
Common Search & ComparisonOften compared for roles in crowdsourcing and data annotationEntry-level data annotation roles

Senior Crowd Compute professionals oversee large-scale data collection and manage crowdsourcing projects, requiring experience with platforms and technical skills. Data Labelers perform specific annotation tasks, focusing on accuracy and attention to detail. While both roles are integral to AI/ML data pipelines, Senior Crowd Compute roles involve higher-level project management and strategic oversight, whereas Data Labelers focus on task execution.

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Senior AI Compute Engineer - NVIS

NVIDIA Gruppe

Santa Clara, CA • On-site

$148 - $287.50/hr

Other

Posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

NVIDIA is looking for a Senior AI Compute Engineer to join its Infrastructure Specialists team. Academic, commercial and government groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer‑focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large‑scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation.

What you will be doing:
  • Deploying, managing, and validating AI Compute/HPC infrastructure in Linux‑based environments for new and existing customers.
  • Being the domain expert with customers during planning calls through implementation.
  • Providing hand‑over related documentation and performing knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world.
  • Providing feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.
What we need to see:
  • 8+ years providing in‑depth support and deployment services; solving problems for hardware and software products.
  • Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network‑routing/advanced networking (tuning and monitoring).
  • Cluster management and provisioning technologies for bare‑metal servers (bonus credit for BCM (Base Command Manager)).
  • Minimum of a four‑year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
  • Scripting proficiency (Bash, Python, Ansible, etc.).
  • Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
  • Strong organizational skills and ability to prioritize/multi‑task easily with limited supervision.
  • Experience with schedulers such as SLURM, LSF, UGE, etc.
  • An ability to travel to customer sites within the United States up to 20% of the time.
  • Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.
Ways to stand out from crowd:
  • InfiniBand experience.
  • Experience with GPU (Graphics Processing Unit) focused hardware/software.
  • Experience with MPI (Message Passing Interface).
  • Storage technologies such as Lustre or GPFS.
  • Familiarity with OEM GPU platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $148,000 USD - $235,750 USD for Level 4, and $184,000 USD - $287,500 USD for Level 5. You will also be eligible for equity and benefits.

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.

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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

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