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Lustre Engineer Jobs in California (NOW HIRING)

CoreWeave

Staff Software Engineer, Storage

Sunnyvale, CA · On-site

$207K - $303K/yr

NFS, S3) and file systems such as Ceph, Lustre, DAOS, or similar. * Proficiency in a systems programming language such as Rust, C++, or Go. * Cloud-native infrastructure, Kubernetes, and scalable ...

Biohub

Staff HPC Engineer

San Francisco, CA · Hybrid

... VAST Lustre, Weka and ZFS) * Cloud platform expertise (Coreweave, AWS, GCP) including GPU ... Strong scripting/programming skills (Python, Bash) and familiarity with version control (Git)

Biohub

Staff HPC Engineer

San Francisco, CA · On-site +1

The Team The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a ... VAST Lustre, Weka and ZFS) * Cloud platform expertise (Coreweave, AWS, GCP) including GPU ...

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Lustre Engineer information

What is a Lustre Engineer?

A Lustre Engineer specializes in managing and maintaining Lustre, a high-performance parallel distributed file system used in large-scale computing environments. They typically work with storage systems, optimize data throughput, and have skills in Linux, scripting, and system administration to ensure reliable data access for high-performance applications.
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Infographic showing various Lustre Engineer job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

Senior AI Performance and Efficiency Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 2 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

We are seeking a Senior AI/ML Performance and Efficiency Engineer, GPU Clusters at NVIDIA to join our AI Efficiency efforts. As an Engineer, you will have a pivotal role in enhancing efficiency for our researchers by implementing progressions throughout the entire stack. Your main task will revolve around collaborating closely with customers to pinpoint and address infrastructure and application deficiencies, facilitating groundbreaking AI and ML research on GPU Clusters. Together, we can craft potent, effective, and scalable solutions as we mold the future of AI/ML technology!
What you will be doing:
  • Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings
  • Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers
  • Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM's, Videos and more
  • Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure
  • Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them
  • Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.

What we need to see:
  • BS or similar background in Computer Science or related area (or equivalent experience)
  • Minimum 5+ years of experience designing and operating large scale compute infrastructure
  • Strong understanding of modern ML techniques and tools
  • Experience investigating, and resolving, training & inference performance end to end
  • Debugging and optimization experience with NSight Systems and NSight Compute
  • Experience with debugging large-scale distributed training using NCCL
  • Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms.
  • Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector.
  • Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds

Ways to stand out from the crowd:
  • Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
  • Experience with Machine Learning and Deep Learning concepts, algorithms and models
  • Familiarity with InfiniBand with IBOP and RDMA
  • Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloads
  • Familiarity with deep learning frameworks like PyTorch and TensorFlow

NVIDIA offers competitive salaries and a comprehensive benefits package. Our engineering teams are growing rapidly due to outstanding expansion. If you're a passionate and independent engineer with a love 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 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 March 23, 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.

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

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