Remote Hpc Engineer Jobs
Remote Hpc Engineer jobs are open across the U.S. at remote-first firms and distributed engineering teams in sectors like national laboratories, defense tech, cloud computing, and academic research. Employers hiring remotely right now include Dell Technologies, Wipro, and Xenon7. Find a role that fits below and apply directly.
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Showing 5 of 17+ Remote Hpc Engineer jobs
Job Title: Production Engineer, AI Storage for HPC Clusters L2
Quantity: 2–5 openings
Location: United States Candidates Only!
Work Arrangement: 100% REMOTE
About the Role
The customer's Cloud Foundation AI Services team builds and operates the storage that lets AI researchers train models reliably and efficiently across cloud environments.
We connect high-performance filesystems, object storage, and data-management services to AI compute, so training datasets and model checkpoints are fast and available wherever they are needed.
We are looking for a hands-on storage system engineer who can turn demanding AI workloads into reliable, scalable infrastructure. The work spans software development, performance analysis, automation, and production ownership.
- Build and operate distributed file and object storage for AI training: shared researcher filesystems, training datasets, and model checkpoints.
- Diagnose and improve end-to-end storage performance (metadata, throughput, latency, caching, network) so storage I/O stops stalling training.
- Automate the storage lifecycle (provisioning, scaling, upgrades, recovery) using Kubernetes and infrastructure-as-code.
- Move and migrate data across clusters, regions, and clouds without losing integrity or slowing researchers down.
- Keep it reliable through observability, alerting, testing, safe rollouts, and incident response, partnering with research, security, and storage-provider teams.
Must-Haves
- Built or operated production distributed storage, high-performance filesystems, or large scale data infrastructure.
- Strong Linux skills, and can debug filesystem, network, and concurrency issues in production.
- Writes maintainable software or automation in a language such as Python, Go, C++, or Rust.
- Has owned a reliability or performance improvement end to end, from spotting the problem through deployment and verification.
Nice to Have
- Experience with cloud infrastructure and Kubernetes, or a comparable large-scale orchestration environment.
- Depth in NFS/POSIX and distributed-filesystem internals: metadata, caching, consistency, availability, and recovery.
- Hands-on with one or more distributed or network storage systems such as Hammerspace, Lustre, ZFS/OpenZFS, VAST, or Pure Storage. Depth in comparable systems counts; you do not need every product named here.
- AI or HPC storage patterns: high-throughput data loading, checkpoint writes and restores, metadata-heavy access, and staging data for accelerator clusters.
- Infrastructure-as-code and observability tooling (Terraform, Helm, Kubernetes operators; metrics, tracing, benchmarking), and object/S3 storage with tiering and cross-region movement.
Experience: >10 YEARS.
The expected compensation for this role ranges from $100,000 to $200,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Job Title: Production Engineer, AI Storage for HPC Clusters L2
Quantity: 2–5 openings
Location: United States Candidates Only!
Work Arrangement: 100% REMOTE
About the Role
The customer's Cloud Foundation AI Services team builds and operates the storage that lets AI researchers train models reliably and efficiently across cloud environments.
We connect high-performance filesystems, object storage, and data-management services to AI compute, so training datasets and model checkpoints are fast and available wherever they are needed.
We are looking for a hands-on storage system engineer who can turn demanding AI workloads into reliable, scalable infrastructure. The work spans software development, performance analysis, automation, and production ownership.
- Build and operate distributed file and object storage for AI training: shared researcher filesystems, training datasets, and model checkpoints.
- Diagnose and improve end-to-end storage performance (metadata, throughput, latency, caching, network) so storage I/O stops stalling training.
- Automate the storage lifecycle (provisioning, scaling, upgrades, recovery) using Kubernetes and infrastructure-as-code.
- Move and migrate data across clusters, regions, and clouds without losing integrity or slowing researchers down.
- Keep it reliable through observability, alerting, testing, safe rollouts, and incident response, partnering with research, security, and storage-provider teams.
Must-Haves
- Built or operated production distributed storage, high-performance filesystems, or large scale data infrastructure.
- Strong Linux skills, and can debug filesystem, network, and concurrency issues in production.
- Writes maintainable software or automation in a language such as Python, Go, C++, or Rust.
- Has owned a reliability or performance improvement end to end, from spotting the problem through deployment and verification.
Nice to Have
- Experience with cloud infrastructure and Kubernetes, or a comparable large-scale orchestration environment.
- Depth in NFS/POSIX and distributed-filesystem internals: metadata, caching, consistency, availability, and recovery.
- Hands-on with one or more distributed or network storage systems such as Hammerspace, Lustre, ZFS/OpenZFS, VAST, or Pure Storage. Depth in comparable systems counts; you do not need every product named here.
- AI or HPC storage patterns: high-throughput data loading, checkpoint writes and restores, metadata-heavy access, and staging data for accelerator clusters.
- Infrastructure-as-code and observability tooling (Terraform, Helm, Kubernetes operators; metrics, tracing, benchmarking), and object/S3 storage with tiering and cross-region movement.
Experience: >10 YEARS.
The expected compensation for this role ranges from $100,000 to $200,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
See All 17 Remote Hpc Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Hpc Engineer JobsRemote Hpc Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
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
Document your cluster work publicly
Remote hpc engineer hiring managers can't see you work, so your GitHub repositories, technical write-ups, and benchmark documentation do the talking. Show real job scheduler configurations, performance tuning decisions, and parallel code samples that demonstrate you work effectively without hand-holding.
Apply early to remote roles that fit
Migrate Mate lists remote hpc engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through general job boards. Early applicants get reviewed before remote headcount closes.
Highlight async communication in your application
Remote hpc teams run across time zones and depend on clear written handoffs for cluster jobs, outage reports, and performance findings. Name specific tools you've used for async collaboration, and bring a writing sample or incident write-up to your interview.
Target remote-first firms and distributed research teams
Remote hpc engineer openings concentrate at organizations built around distributed work from the start, including cloud HPC providers, defense research groups, and computational science organizations. These employers have established workflows for remote cluster access and async engineering collaboration.
Remote Hpc Engineer Jobs: Frequently Asked Questions
How do I get a remote hpc engineer job?
Remote hpc engineer roles go to candidates who can demonstrate deep technical independence alongside strong written communication. Employers screen for experience with parallel computing frameworks, job schedulers like SLURM or PBS, and distributed system architecture, plus the ability to collaborate asynchronously across time zones. Documenting your benchmark results, cluster configurations, and performance optimization work in a public portfolio gives you a clear edge over candidates who rely solely on resume descriptions.
Which companies hire remote hpc engineers?
Companies hiring remote hpc engineers right now include Dell Technologies, Wipro, and Xenon7, based on current remote listings on Migrate Mate as of November 2026. Remote hpc engineer roles concentrate at cloud infrastructure providers, defense contractors, national research organizations, and remote-first simulation or modeling firms operating distributed engineering teams.
Can you get a remote hpc engineer job with no experience?
Yes, but remote entry-level hpc engineer roles are harder to land because employers expect you to troubleshoot cluster issues and manage workloads without immediate on-site support. Your strongest entry path is contributing to open-source HPC projects, building personal cluster environments, or completing research computing internships. Demonstrating proficiency with MPI, OpenMP, or GPU programming frameworks through documented projects replaces much of what a formal work history would otherwise show.
Do you need a degree for remote hpc engineer jobs?
Not always, though most remote hpc engineer postings prefer a bachelor's degree in computer science, physics, engineering, or a related computational field. Remote employers consistently weigh demonstrated skills, published benchmarks, and hands-on cluster administration experience heavily alongside or instead of credentials. Candidates who can show measurable performance improvements, successful large-scale job scheduling, and proficiency with parallel programming models compete strongly regardless of their educational background.
Which industries hire the most remote hpc engineers?
The sectors hiring the most remote hpc engineers are Technology & Software and Consulting & Professional Services, based on current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed teams to run computationally intensive simulations, large-scale data analysis, and research workloads that do not require engineers to be physically co-located with the hardware they manage.
See All 17 Remote Hpc Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Hpc Engineer Jobs