Hpc Engineer Jobs
Hpc Engineer jobs are open across national laboratories, defense contractors, cloud providers, and research universities, at levels from new-grad to principal and staff, with specializations in parallel computing, GPU/accelerator programming, and distributed systems performance tuning. Find a role that fits from the openings below and apply directly.
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Systems Engineer – HPC & GPU Infrastructure – TS/SCI
Xcelerate Solution is looking for a mid-career Systems Engineer (Mid-Career) – HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a Systems Engineer (Mid-Career) – HPC & GPU Infrastructure, you will play a pivotal role in designing, developing, and optimizing GPU clusters for the IC community customers.
Location: Bethesda, MD. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.
Security Clearance: TS/SCI
Responsibilities:
- HPC and GPU environment engineering: Contribute to the installation and maintenance of GPU and HPC hardware on-prem and in the cloud, providing insights into hardware performance to ensure efficient interaction with software components.
- Performance Optimization: Analyze HPC/GPU cluster performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux, addressing both hardware and software considerations. Regularly monitor and improve performance.
- HPC/GPU tooling: Install and configure HPC/GPU job scheduling and workload management platforms such as Slurm, PBS , Apache Airflow, Kubernetes
- Power Efficiency: Work on power management techniques to optimize GPU power consumption, ensuring efficient operation on both mobile and desktop Linux platforms. Continuously assess and enhance power efficiency strategies.
- Testing and Validation: Design and execute tests to validate GPU performance and functionality on Linux, including stress testing, benchmarking, and debugging to ensure robust operation. Maintain and expand the testing suite.
- Documentation: Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development. Keep documentation up to date with changes and improvements.
- Industry Insight: Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry, contributing to research efforts and proposing Linux-specific approaches to GPU design and optimization. Share regular updates and insights with the team.
Minimum Requirements:
- Due to the nature of the government contracts we support, US Citizenship is required.
- TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.
- Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Additional years of experience may be considered in lieu of a degree.
- 4+ years of relevant systems engineering experience
- Expertise in operating system integration for Linux.
- Strong understanding of computer hardware architecture, particularly as it relates to Linux systems.
- Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments.
- Excellent problem-solving skills and the ability to collaborate within a team.
- Strong communication skills for conveying technical information in a Linux context.
- Proficiency with scripting languages such as Python or BASH.
- Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.
- Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).
Preferred Qualifications:
- Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field.
- Experience with container technologies (Docker, Kubernetes)
- Experience with Prometheus/Grafana for monitoring
- Knowledge of distributed resource scheduling systems
- Understanding data center networking hardware and cabling concepts.
- Understanding of networking technologies such as DHCP, DNS, TCP/IP, VLANs, HSRP, and SNMP.
- Knowledge of data center networking security principles Firewall ACLs, IPS/IDS, and Policy Based Routing.
About Xcelerate Solutions:
Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers!
Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.
Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Systems Engineer – HPC & GPU Infrastructure – TS/SCI
Xcelerate Solution is looking for a mid-career Systems Engineer (Mid-Career) – HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a Systems Engineer (Mid-Career) – HPC & GPU Infrastructure, you will play a pivotal role in designing, developing, and optimizing GPU clusters for the IC community customers.
Location: Bethesda, MD. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.
Security Clearance: TS/SCI
Responsibilities:
- HPC and GPU environment engineering: Contribute to the installation and maintenance of GPU and HPC hardware on-prem and in the cloud, providing insights into hardware performance to ensure efficient interaction with software components.
- Performance Optimization: Analyze HPC/GPU cluster performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux, addressing both hardware and software considerations. Regularly monitor and improve performance.
- HPC/GPU tooling: Install and configure HPC/GPU job scheduling and workload management platforms such as Slurm, PBS , Apache Airflow, Kubernetes
- Power Efficiency: Work on power management techniques to optimize GPU power consumption, ensuring efficient operation on both mobile and desktop Linux platforms. Continuously assess and enhance power efficiency strategies.
- Testing and Validation: Design and execute tests to validate GPU performance and functionality on Linux, including stress testing, benchmarking, and debugging to ensure robust operation. Maintain and expand the testing suite.
- Documentation: Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development. Keep documentation up to date with changes and improvements.
- Industry Insight: Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry, contributing to research efforts and proposing Linux-specific approaches to GPU design and optimization. Share regular updates and insights with the team.
Minimum Requirements:
- Due to the nature of the government contracts we support, US Citizenship is required.
- TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.
- Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Additional years of experience may be considered in lieu of a degree.
- 4+ years of relevant systems engineering experience
- Expertise in operating system integration for Linux.
- Strong understanding of computer hardware architecture, particularly as it relates to Linux systems.
- Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments.
- Excellent problem-solving skills and the ability to collaborate within a team.
- Strong communication skills for conveying technical information in a Linux context.
- Proficiency with scripting languages such as Python or BASH.
- Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.
- Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).
Preferred Qualifications:
- Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field.
- Experience with container technologies (Docker, Kubernetes)
- Experience with Prometheus/Grafana for monitoring
- Knowledge of distributed resource scheduling systems
- Understanding data center networking hardware and cabling concepts.
- Understanding of networking technologies such as DHCP, DNS, TCP/IP, VLANs, HSRP, and SNMP.
- Knowledge of data center networking security principles Firewall ACLs, IPS/IDS, and Policy Based Routing.
About Xcelerate Solutions:
Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers!
Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.
Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Hpc Engineer Jobs by Experience Level
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Find Hpc Engineer JobsHpc Engineer Job Market
Who's Hiring
- NVIDIA15
- KLA6
- Pratt & Whitney6
- AMD5
- NextSilicon5
Top Industries Hiring
- Technology & Software18
- Manufacturing7
- Education4
- Science & Research2
- Energy1
What Employers Look For
The qualifications that appear most often in 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 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.
Hpc Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most hpc engineers?
The companies hiring the most hpc engineers right now include NVIDIA, KLA, and Pratt & Whitney, with the largest share of openings in California, Maryland, and Texas, based on current listings on Migrate Mate as of September 2026. National laboratories, defense prime contractors, and hyperscale cloud providers consistently post the highest volumes of hpc engineer roles.
How many hpc engineer jobs are remote?
About 46% of hpc engineer openings are fully remote or hybrid as of September 2026, reflecting the role's strong dependence on access to on-prem clusters at many employers. Work on cloud-native HPC platforms and performance engineering for distributed software tends to offer the most remote flexibility within the field.
How do you become a hpc engineer?
Start with a degree in computer science, computational science, physics, or a related engineering field, then build hands-on parallel programming skills in MPI and OpenMP through coursework or open-source scientific projects. Gain proficiency with at least one GPU programming framework such as CUDA or HIP, learn a job scheduler, and contribute to or benchmark a real parallel application. Internships at national laboratories or research computing centers are among the most direct paths into the field.
Can I get hired as a hpc engineer with little experience?
Yes, entry-level hpc engineer roles exist, particularly at universities, national labs, and cloud providers running research computing programs. Employers at this level look for demonstrated parallel programming work: a thesis project, a graduate course that used a cluster, or a contribution to an open-source scientific code. Showing you understand the MPI or OpenMP programming model and have run jobs on a real scheduler matters more than years of industry experience at the junior level.
What does the hpc engineer interview process look like?
Most hpc engineer interviews follow a multi-stage format: an initial recruiter screen, a technical phone interview covering parallel programming concepts and profiling approaches, and then a virtual or on-site loop with the engineering team. The loop typically includes a live coding or debugging exercise focused on MPI or GPU code, a deep-dive discussion of a past performance optimization project, and a system design conversation around scaling a workload. Some employers add a take-home benchmark analysis before the final round.
Where can I find and apply to hpc engineer jobs?
You can find and apply to hpc engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 116+ Hpc Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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