Remote Hpc Engineer Jobs
Remote Hpc Engineer jobs are available nationwide at employers like Yandex, Lambda, and Nvidia and other distributed teams, at every experience level. Find a role that fits below and apply directly.
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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
- Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What You’ll Do
Remotely deploy and configure large-scale HPC clusters for AI workloads (up to many thousands of nodes)
Remotely install and configure operating systems, firmware, software, and networking on HPC clusters both manually and using automation tools
Troubleshoot and resolve HPC cluster issues working closely with physical deployment teams on-site
Provide clear and detailed requirements back to other engineering teams on gaps and improvement areas, specifically in the areas of simplification, stability, and operational efficiency
Contribute to the creation of and maintenance of Standard Operating Procedures
Provide regular and well-communicated updates to project leads throughout each deployment
Mentor and assist less experienced team members
Stay up-to-date on the latest HPC/AI technologies and best practices
You
Are a deeply experienced HPC engineer comfortable with logical provisioning of a cluster
Have a strong understanding of HPC/AI architecture, operating systems, firmware, software, and networking
5+ years of experience in deploying and configuring HPC clusters for AI workloads
Have an innate attention to detail
Are in expert in configuring and troubleshooting:
SFP+ fiber, Infiniband (IB), and 100 GbE network fabrics
Ethernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environments
Linux based compute nodes, firmware updates, driver installation
SLURM, Kubernetes, or other job scheduling systems
Work well under deadlines and structured project plans also knowing when and how to ask for changes to project timelines
Have excellent problem solving and troubleshooting skills
Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercises
Are able to work independently and as part of a team
Are comfortable mentoring and supporting junior HPC engineers on cluster deployments
Nice to Have
Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)
Experience with containerization technologies ( Docker, Kubernetes)
Experience working with the technologies that underpin our cloud business ( GPU acceleration, virtualization, and cloud computing)
Keen situational awareness in customer situations, employing diplomacy and tact
Bachelors degree in EE, CS, Physics, Mathematics, or equivalent work experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
Compensation Range: $240K - $356K
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Find Remote Hpc Engineer JobsRemote Hpc Engineer Job Market
Who's Hiring
- Yandex3
- Lambda2
- Nvidia2
- Runpod2
Top Industries Hiring
- Technology & Software5
- Law & Legal Services2
- Electronics & Hardware2
What Employers Look For
The qualifications that appear most often in remote hpc engineer jobs.
- Bachelor's or master's degree in computer science, computational science, or a related engineering discipline
- Proficiency in parallel programming models including MPI, OpenMP, and CUDA or HIP
- Experience with HPC job schedulers such as Slurm, PBS Pro, or LSF
- Strong C, C++, or Fortran programming skills for performance-critical scientific applications
- Familiarity with profiling and performance analysis tools such as VTune, Nsight, or Tau
- Experience porting or optimizing workloads on GPU-accelerated or many-core architectures
Tips for Your Remote Hpc Engineer Job Search
Quantify parallel performance gains on your resume
Hiring managers want concrete throughput or scaling numbers. Replace vague phrases like 'optimized MPI jobs' with specifics: how many nodes, what speed-up factor, or which benchmark improved. Quantified results stand out immediately against generic HPC resumes.
Apply early to roles that fit
Migrate Mate lists hpc engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job postings by scheduler and environment
Filter your search by Slurm, PBS Pro, or LSF mentions alongside the cloud or on-prem environment. Roles requiring the same scheduler stack you know move faster through screening, so matching on those keywords narrows your list without missing relevant openings.
Showcase profiling and benchmarking tool experience
Postings for senior hpc engineer roles increasingly require hands-on profiling experience. Call out specific tools: Nsight, VTune, Tau, or Darshan. Listing the tool and the code base you profiled together signals you can own the full optimization cycle, not just compile and run.
Prepare a technical narrative around a hard scaling problem
HPC interviews almost always include a deep-dive on one past project. Pick a job where you hit a real bottleneck and fixed it: communication overhead, I/O saturation, or memory bandwidth. Walk the interviewer through diagnosis, the fix, and the measured outcome.
Negotiate with runtime efficiency as your leverage
In offer conversations, tie your profiling and tuning work to compute-hour savings your future employer recognizes. Teams running large allocations on national or commercial clusters treat runtime reduction as direct cost avoidance, which strengthens your case beyond the standard market-rate comparison.
Remote Hpc Engineer Jobs: Frequently Asked Questions
How do I get a remote hpc engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote hpc engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote hpc engineers?
Companies hiring remote hpc engineers include Yandex, Lambda, and Nvidia, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote hpc engineer roles.
Can you get a remote hpc engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote hpc engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote hpc engineer jobs?
Not always. Many employers hire remote hpc engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote hpc engineer roles.
Which industries hire the most remote hpc engineers?
The sectors hiring the most remote hpc engineers are Technology & Software, Law & Legal Services, and Electronics & Hardware, based on current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire hpc engineers remotely most consistently.
See All 9 Remote Hpc Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Hpc Engineer Jobs