high-performance computing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, high-performance computing appears in 288 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning high-performance computing, with demand share up 6.9% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about high-performance computing
+Is high-performance computing in demand in 2026?
Yes. high-performance computing appears in 288 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning high-performance computing (13.5% of all postings mentioning high-performance computing).
+What jobs require high-performance computing?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning high-performance computing are Developer Relations Manager (22.9% of that role’s postings mention high-performance computing), Quantitative Research Intern (16.7% of that role’s postings mention high-performance computing), C++ Software Engineer (6.2% of that role’s postings mention high-performance computing).
+What skills are commonly paired with high-performance computing?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), high-performance computing most often appears alongside Python, C++, machine learning, Distributed systems, CUDA.
+Where is high-performance computing most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring high-performance computing are London, San Francisco, Sunnyvale, Washington, Singapore, according to the Skillenai jobs index.
+How can I keep up with new high-performance computing content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning high-performance computing alongside the jobs index. You can subscribe to a daily email digest of new high-performance computing content from your Skillenai account.
+Which skills come before and after high-performance computing?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring high-performance computing — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around high-performance computing
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before high-performance computing
Skills after high-performance computing
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: monitoring digital trends | 1 |
| Before: employee responses | 1 |
| Before: python | 1 |
| Before: threat response | 1 |
| Before: Apache Kafka | 1 |
| Before: analyzing user engagement data | 1 |
| Before: Grafana | 1 |
| Before: regression modeling | 1 |
| After: python | 3 |
| After: PostgreSQL | 2 |
| After: Azure OpenAI | 2 |
| After: Android | 2 |
| After: machine learning models | 2 |
| After: Face recognition | 1 |
| After: ETL | 1 |
| After: Data Mining | 1 |
Roles most likely to require high-performance computing
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Developer Relations Manager | 8 | 22.9% |
| Quantitative Research Intern | 4 | 16.7% |
| C++ Software Engineer | 3 | 6.2% |
| Machine Learning Infrastructure Engineer | 2 | 6.2% |
| Machine Learning Researcher | 2 | 5.3% |
| Bioinformatics Scientist | 1 | 5.0% |
| Postdoctoral Researcher | 1 | 4.8% |
| Applied Scientist | 11 | 4.4% |
| ML Infrastructure Engineer | 2 | 4.2% |
| Systems Engineering Manager | 3 | 4.1% |
Roles with the most high-performance computing postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 39 | 13.5% |
| Technical Program Manager | 20 | 6.9% |
| Data Scientist | 17 | 5.9% |
| Applied Scientist | 11 | 3.8% |
| Machine Learning Engineer | 10 | 3.5% |
| Developer Relations Manager | 8 | 2.8% |
| Engineering Manager | 8 | 2.8% |
| Quant Research Intern | 7 | 2.4% |
| Research Engineer | 7 | 2.4% |
| Research Scientist | 7 | 2.4% |
Top companies posting jobs requiring high-performance computing
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| NVIDIA | 26 |
| Amazon | 9 |
| Applied | 9 |
| IMC | 7 |
| Anthropic | 7 |
| PhysicsX | 7 |
| MinIO | 5 |
| Advanced Micro Devices Inc. | 5 |
| Applied Intuition | 5 |
| Bosch | 5 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for high-performance computing
| Name | Postings | Share |
|---|---|---|
| London | 12 | 4.2% |
| San Francisco | 12 | 4.2% |
| Sunnyvale | 10 | 3.5% |
| Washington | 9 | 3.1% |
| Singapore | 8 | 2.8% |
| Seattle | 7 | 2.4% |
| Mumbai | 5 | 1.7% |
| New York City | 5 | 1.7% |
| Palo Alto | 5 | 1.7% |
Skills commonly paired with high-performance computing
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning high-performance computing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s high-performance computing postings by all high-performance computing postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 6e8ba34fa67bb019
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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