ZipRecruiter

Log In

2

Remote High Performance Computing Engineer Jobs in Santa Clara, CA

Nvidia

Developer Relations Manager, CAE

Santa Clara, CA · On-site +1

We're hiring a Developer Relations Manager to lead strategic engagement across developer ecosystems ... for CAE, high-performance computing, applied machine learning, or deep learning. * Hands-on ...

Oklo

Shielding Analysis Engineer

Santa Clara, CA · On-site +1

Proficiency with high performance computing systems. * Experience with fast reactor design ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Oklo

Neutronics Analysis Engineer

Santa Clara, CA · On-site +1

Proficiency with high performance computing systems * Experience with fast reactor design and ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

Meta

ASIC Engineer, Power

Sunnyvale, CA · On-site +1

$146K/yr

As an ASIC Engineer specializing in power on the EDA Infrastructure team, you will develop and ... Familiarity with custom or semi-custom design flows for high-performance computing or data center ...

AttoTude

MMIC Design Engineer

Menlo Park, CA · On-site +1

$160K - $250K/yr

Design and development of THz ICs for cutting edge AI and Cloud Computing systems * Ownership of ... Understanding tradeoff at the device level for high performance ASIC implementation * Ability to ...

AttoTude

MMIC Design Engineer

Menlo Park, CA · Remote

Design and development of THz ICs for cutting edge AI and Cloud Computing systems * Ownership of ... Understanding tradeoff at the device level for high performance ASIC implementation * Ability to ...

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

Remote Duration: Fulltime Must-have * NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM) * Cisco UCS C885A * Docker Good to have * DevOps Automation * CI/CD ...

Turnblock.io

Technical Lead Remote (Web3)

Mountain View, CA · Remote

$100K - $250K/yr

... engineering leader to join their team. This is a fully remote role open to candidates based anywhere. About the Company Our client built the first high-performance Blockchain Distribution Network ...

Broadcom

AI Systems Performance Engineer

San Jose, CA · Remote

$141K - $226K/yr

In this high-impact position, you will drive the performance benchmarking of AI inference, training ... Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet)

Oklo

Fuel Performance Engineer

Santa Clara, CA · On-site +1

$120K - $165K/yr

We are searching for a Fuel Performance Engineer to join our team. Position Description Fuel ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

previous page

Showing results 41-60

All JobsHigh Performance Computing Engineer JobsRemote High Performance Computing Engineer JobsRemote High Performance Computing Engineer Jobs in Santa Clara, CA

Remote High Performance Computing Engineer information

See Santa Clara, CA salary details

$12

$70

$115

How much do remote high performance computing engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote high performance computing engineer in Santa Clara, CA is $70.59, according to ZipRecruiter salary data. Most workers in this role earn between $57.88 and $79.90 per hour, depending on experience, location, and employer.

What is the difference between Remote High Performance Computing Engineer vs Remote Data Scientist?

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

Are remote high performance computing engineers in demand?

Remote high performance computing (HPC) engineers are in high demand due to the increasing need for processing large datasets and complex simulations across industries like research, finance, and technology. Skills in parallel programming, cluster management, and knowledge of tools such as MPI and CUDA enhance employability in this growing field.

How much do remote high performance computing engineers make in the US?

Remote high performance computing (HPC) engineers in the US typically earn between $80,000 and $150,000 annually, depending on experience, education, and specific industry. Senior roles or those requiring specialized skills in parallel processing, cluster management, or GPU computing may offer higher salaries, especially with certifications or advanced degrees.
What are the most commonly searched types of High Performance Computing Engineer jobs in Santa Clara, CA? The most popular types of High Performance Computing Engineer jobs in Santa Clara, CA are:
Remote High Performance Computing Engineer jobs near you

Developer Relations Manager, CAE

Nvidia

Santa Clara, CA • On-site, Remote

Full-time

Posted 18 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're hiring a Developer Relations Manager to lead strategic engagement across developer ecosystems in rapidly evolving technology domains. In this role, you'll help develop how NVIDIA partners with software providers, developers, and industry teams to expand the use of our AI and computing platforms. We're looking for someone with strong architectural depth who can guide partner product direction and support developers building on NVIDIA technologies. If you're passionate about influencing the next wave of AI and accelerated computing, we'd love to hear from you.

What You'll Be Doing:

  • Build and deepen technical expertise in computer-aided engineering (CAE), serving as a technical advocate and trusted resource for developers in industrial engineering, with cross-functional partners to drive adoption of NVIDIA technologies.

  • Demonstrate and integrate NVIDIA's software stack (tools, SDKs, libraries, NIMs, and blueprints) into real-world partner or developer projects to accelerate adoption.

  • Support developers and partners through onboarding and integration by providing code samples, guides, demo pipelines, and hands-on assistance that enable CAE-specific use cases.

  • Research and monitor developer ecosystem trends to identify opportunities for growth, sharing insights with engineering, product, and marketing teams to improve adoption strategies.

  • Collaborate with partner technical leaders and internal engineering stakeholders to troubleshoot challenges, guide best-practice integrations, and feed technical takeaways back to NVIDIA teams.

What We Need to See:

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.

  • 5-8+ years of overall professional experience in software engineering, developer relations, technical partnerships, solutions architect, product management, including hands-on experience crafting and/or deploying software tools for CAE.

  • Experience working with or supporting developer programs, technical ecosystems, or CAE ISVs, or within relevant verticals.

  • Proficiency in developing CAE workflows, software tools for physical simulation,and familiarity with modern software frameworks or SDKs.

  • Comfort collaborating with cross-functional teams to discuss architecture, share feedback, and deliver technical presentations or demos.

  • Ability to manage and implement technical projects, solve integration challenges, and effectively communicate complex ideas to both technical and non-technical audiences.

  • Strong communication skills and a passion for helping developers innovate with NVIDIA tools and technology.

Ways to Stand Out from the Crowd:

  • Experience creating or optimizing vertical-specific technical solutions i.e. simulation tools, virtual twins, and/or solutions for CAE, high-performance computing, applied machine learning, or deep learning.

  • Hands-on familiarity with NVIDIA platforms and frameworks: CUDA-X Libraries, PhysicsNeMo, Omniverse, NeMo, etc.

  • Demonstrated involvement in growing developer communities and supporting technical enablement programs.

  • Skilled in developing systems and tools to measure developer sentiment and track market trends, turning ecosystem insights into practical recommendations that guide product direction and strategic planning.

  • Experience with AI physics models and model architecture including developing, defining, training, and deploying open or proprietary models.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real 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 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 27, 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

View All Nvidia Jobs

Apply