NCCL jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, NCCL appears in 332 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning NCCL.
Last updated · 90d ending 2026-10-29
Which roles want NCCL?
Upload your resume and Skillenai will show which roles your NCCL experience fits, which skills you already cover, and what is missing.
Frequently asked questions about NCCL
+Is NCCL in demand in 2026?
Yes. NCCL appears in 332 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning NCCL (26.5% of all postings mentioning NCCL).
+What jobs require NCCL?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning NCCL are AI Infrastructure Engineer (15.2% of that role’s postings mention NCCL), Sales Engineering Manager (12.0% of that role’s postings mention NCCL), ML Infrastructure Engineer (11.6% of that role’s postings mention NCCL).
+What skills are commonly paired with NCCL?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), NCCL most often appears alongside Python, CUDA, Kubernetes, Infiniband, PyTorch.
+Where is NCCL most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring NCCL are San Francisco, London, Palo Alto, San Jose, Santa Clara, according to the Skillenai jobs index.
+How can I keep up with new NCCL content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning NCCL alongside the jobs index. You can subscribe to a daily email digest of new NCCL content from your Skillenai account.
+Which skills come before and after NCCL?
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 NCCL — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around NCCL
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before NCCL
Skills after NCCL
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: OpenAI Triton | 1 |
| Before: SHAP | 1 |
| Before: tensorflow | 1 |
| Before: CUDA | 1 |
| Before: hyperparameter optimization | 1 |
| After: Model-Based Systems Engineering (MBSE) | 1 |
| After: TransformerEngine | 1 |
| After: Agent-Based Modeling (ABM) | 1 |
Roles most likely to require NCCL
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| AI Infrastructure Engineer | 10 | 15.2% |
| Sales Engineering Manager | 3 | 12.0% |
| ML Infrastructure Engineer | 5 | 11.6% |
| ML Systems Engineer | 3 | 10.0% |
| AI Inference Engineer | 2 | 9.5% |
| Customer Reliability Engineer | 2 | 9.5% |
| Performance Engineer | 6 | 9.1% |
| Member of Technical Staff | 3 | 8.8% |
| Developer Relations Engineer | 3 | 7.5% |
| Field Engineer | 4 | 6.7% |
Roles with the most NCCL postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 88 | 26.5% |
| Solutions Architect | 18 | 5.4% |
| Research Engineer | 12 | 3.6% |
| AI Infrastructure Engineer | 10 | 3.0% |
| AI Engineer | 9 | 2.7% |
| Infrastructure Engineer | 9 | 2.7% |
| Network Engineer | 7 | 2.1% |
| ML Engineer | 6 | 1.8% |
| Performance Engineer | 6 | 1.8% |
| Platform Engineer | 6 | 1.8% |
Top companies posting jobs requiring NCCL
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| NVIDIA | 70 |
| Together AI | 18 |
| Cisco | 14 |
| Monolith | 13 |
| Anthropic | 8 |
| xAI | 7 |
| SpaceX | 7 |
| Cohere | 6 |
| Quantiphi | 6 |
| RadixArk | 6 |
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 NCCL
| Name | Postings | Share |
|---|---|---|
| San Francisco | 34 | 10.2% |
| London | 14 | 4.2% |
| Palo Alto | 14 | 4.2% |
| San Jose | 12 | 3.6% |
| Santa Clara | 10 | 3.0% |
| Sunnyvale | 10 | 3.0% |
| Mountain View | 8 | 2.4% |
| Singapore | 7 | 2.1% |
| Amsterdam | 6 | 1.8% |
Skills commonly paired with NCCL
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 NCCL by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s NCCL postings by all NCCL 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 197e37057802ac76
- data_as_of
- 2026-10-29
- window_days
- 90