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Remote High Performance Computing Engineer Jobs in Santa Clara, CA

CoreWeave

Sr. Manager, White Space Design

Sunnyvale, CA · On-site +1

The Data Center Design team is the technical engineering team responsible for the architectural and ... Experience supporting hyperscale, High-Performance Computing (HPC), or high-density compute ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... Develop and maintain high-quality, well-documented code that adheres to best practices for GPU ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... Develop and maintain high-quality, well-documented code that adheres to best practices for GPU ...

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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

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$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

Machine Learning Engineer II - AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Re-posted 12 hours ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

What You Will Do
  • Algorithm Development: Develop algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • System Design: Implement scalable ML systems, including management of upstream sensor dependencies.
  • Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
  • Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.
Basic Qualifications
  • 2+ years of working experience in the ML/Robotics industry.
  • Bachelor's degree (or higher) in Computer Science, Computer Engineering, or related fields.
  • Proficient in Python and Linux environments.
  • Familiar with modern AI/ML frameworks (e.g., PyTorch).
Preferred Qualifications
  • Experience in the Autonomous Driving domain.
  • Proven track record of deploying ML models in safety-critical physical systems.
  • Master's or PhD degree in Computer Vision, Robotics, or Machine Learning.
  • Familiarity with C++ and high-performance computing.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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