High Performance Computing Jobs
High Performance Computing jobs are open across national laboratories, defense, aerospace, life sciences, and financial modeling, from entry-level HPC engineer to principal architect and research scientist, with specializations in parallel computing, GPU acceleration, and cluster administration. Find a role that fits from the openings below and apply directly.
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Supporting the Specialty Engineered Materials (SEM) business within Avient, the Global ADTS Leader, High Performance Computing (HPC) is responsible for leading the global technology strategy and application development efforts focused on HPC applications, including high-speed connectors, fiber optic cables, power cables, and cooling solutions for data centers and broadband networks (including 5G). The successful candidate will combine deep technical expertise in interconnect technologies, signal integrity, and advanced materials with strong leadership capabilities to drive business growth through innovation. The role requires close collaboration with customers and internal stakeholders to develop differentiated solutions that enable profitable business growth.
Essential Duties & Responsibilities
- Lead the development and execution of Avient product roadmaps supporting data center and AI infrastructure applications.
- Establish and expand internal capabilities and external partnerships related to high-speed signal transmission, interconnect design, simulation, testing, and validation.
- Partner with strategic HPC customers to identify unmet needs and translate requirements into differentiated product solutions.
- Lead technical engagement activities with customers, industry organizations, technical forums, and external partners.
- Collaborate with a global team of scientists, engineers, and technical specialists focused on innovation and product development.
- Work closely with commercial teams to identify growth opportunities in data centers, AI infrastructure, networking, telecommunications, and adjacent markets.
- Support intellectual property development through invention disclosures, patent generation, and technology differentiation.
- Travel domestically and internationally as required (approximately 20%-30%).
- Perform other duties as assigned.
- Bachelor's degree in Engineering, Physics, Materials Science, Electrical Engineering, Photonics, Optics, or a related technical field required. Master's degree or Ph.D. preferred.
- 15+ years of progressive experience in product development, technology leadership, R&D, or engineering management.
- Proven track record of commercializing innovative products and technologies for data center, networking, telecommunications, electronics, or related markets.
- Demonstrated experience leading cross-functional and global teams, with a proven ability to translate customer needs into commercially successful products and growth opportunities.
- Strong understanding of high-speed interconnect technologies and connectivity systems.
- Experience with simulation, modeling, testing, and validation of advanced connectivity systems.
- Familiarity with data center architectures, AI infrastructure, storage systems, networking equipment, and telecommunications systems.
- Experience developing intellectual property portfolios and technology roadmaps.
- Participation in industry standards organizations or technical committees preferred.
- Experience establishing or expanding laboratory, testing, simulation, or product development capabilities.
- Excellent communication, presentation, and customer engagement skills.
#CA-AL
Innovation goes far beyond materials science; it’s powered by the passion, creativity, and diverse expertise of 9,000 professionals worldwide. Whether you’re a finance wizard, a tech enthusiast, an operational powerhouse, an HR changemaker, or a trailblazer in materials development, you’ll find your place at Avient.
Join our global team and help shape the future with sustainable solutions that transform possibilities into realities. Your unique perspective could be the key to our next breakthrough!
We believe that all of our global employees are leaders and that the six most important behaviors for driving our strategy and culture are the same no matter if an employee is a leader of self, a leader of others, or a leader of the business.
By playing to win, acting customer centric, driving innovation and profitable growth, collaborating seamlessly across Avient, and motivating and inspiring and developing others and yourself you will accelerate your ability to achieve Avient’s strategic goals, to meet our customer needs, and to accomplish your career goals.
At Avient, we believe a wide variety of thoughts, ideas and backgrounds gives us the creativity to be successful in a rapidly changing world. In support of this, we stress equality of opportunity for all qualified individuals in accordance with applicable laws. Decisions on hiring, promotion, development, compensation or advancement are based solely on a person’s qualifications, abilities, experience and performance.
Avient is an equal opportunity employer. We maintain a policy of non-discrimination in providing equal employment to all qualified employees and candidates regardless of race, sex, sexual orientation, gender identity, age, color, religion, national origin, disability, genetic information, protected veteran’s status, or other legally protected classification in accordance with applicable federal, state and local law. If you need an accommodation because of a disability to complete an online application, please contact the Avient HR Team by emailing, ApplicationAccommodation@Avient.com.
High Performance Computing Jobs by Experience Level
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Who's Hiring



Top Industries Hiring
- Education
- Manufacturing
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in high performance computing jobs.
- Proficiency in parallel programming models including MPI, OpenMP, or CUDA
- Experience administering or using job schedulers such as Slurm or PBS Pro
- Strong background in C, C++, or Fortran for performance-critical codebases
- Familiarity with high-speed interconnects including InfiniBand or Ethernet fabrics
- Bachelor's or master's degree in computer science, computational science, or engineering
- Experience profiling and optimizing code using tools such as VTune or Nsight
Tips for Your High Performance Computing Job Search
Benchmark your resume with job code metrics
List specific benchmark results on your resume, such as LINPACK scores, scaling efficiency percentages, or job throughput improvements you achieved. Hiring managers in HPC differentiate candidates by measurable system performance gains, not just tool familiarity.
Target openings by scheduler and fabric stack
Filter job listings by the workload managers and interconnects named in the posting, such as Slurm, PBS Pro, InfiniBand, or Slingshot. Matching your hands-on experience to the exact stack a team runs accelerates recruiter callbacks significantly.
Apply early to roles that fit
Migrate Mate lists high performance computing openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor applications around security clearance status
If you hold an active clearance, state the level and adjudication date near the top of your resume. National labs and defense contractors prioritize cleared candidates, and omitting this detail means your application competes at a disadvantage from the start.
Prepare a profiling and optimization code sample
Bring a short code walkthrough to technical interviews showing how you identified a bottleneck using a tool like VTune, NVIDIA Nsight, or TAU, and what you changed to resolve it. This demonstrates practical optimization instinct beyond theoretical knowledge.
Negotiate compute resource access in your offer
When reviewing an offer, ask which cluster allocation or cloud HPC budget you will have access to in your first project. Research computing roles vary widely in resource access, and this detail affects how quickly you can do meaningful work after starting.
High Performance Computing Jobs: Frequently Asked Questions
Which companies are hiring the most high performance computings?
The companies hiring the most high performance computings right now include Raytheon, SpaceX, and Infleqtion, with the largest share of openings in California, Arizona, and Maryland, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in organizations running large-scale simulation, AI training infrastructure, and classified research workloads.
How many high performance computing jobs are remote?
About 53% of high performance computing openings are fully remote or hybrid as of September 2026, with fully on-site roles most common at national laboratories, government-funded supercomputing centers, and defense facilities that require physical access to classified systems. Software-focused sub-areas such as HPC application support and parallel algorithm development tend to offer the most remote flexibility.
How do you become a high performance computing professional?
Start by building a foundation in a systems-adjacent degree such as computer science, computational science, or electrical engineering, then practice parallel programming with MPI and OpenMP on open-source projects or university clusters. Get hands-on with a job scheduler like Slurm, learn to profile code using tools such as VTune or Nsight, and contribute to or document a project that demonstrates measurable performance improvement on a multi-node system.
Can you get a high performance computing job with little experience?
Entry points into HPC typically include research computing support roles, HPC systems administrator positions, and application support analyst jobs at universities or national labs, where deep parallel programming expertise is less critical than systems curiosity and scripting ability. Building a portfolio around a self-hosted cluster, contributing to open-source HPC software, or completing a graduate research assistantship that involved cluster computing are concrete ways to demonstrate readiness without years of industry experience.
What does the high performance computing interview process look like?
Most HPC interviews include a recruiter screen followed by a technical phone or video interview covering parallel programming concepts, memory hierarchy, and past optimization work. A second round typically involves a live coding or whiteboard session on MPI or CUDA patterns, a system design discussion around cluster architecture, and a conversation with domain scientists or end users whose applications you would support. Some employers also assign a take-home profiling exercise on a provided code sample.
Where can I find and apply to high performance computing jobs?
You can find and apply to high performance computing jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your specialization, whether that is parallel programming, systems administration, storage architecture, or application support, and apply directly to each listing that fits.
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