New Runtime data · Workforce
Cerebras: what it hires for
Open postings on Cerebras's public job board, classified by role family, with the tools and titles they name. As of Nov 12, 2026; the industry picture is on Workforce.
124 open19 new in 30 daysAll companiesJSON
Exhibit 1 · Family mix against the industry
Cerebras over-weights engineering: 64% of its analysed roles vs 25% industry
Cerebras (bold) against the industry and the 3 companies with the closest mix (xAI, Vercel and Mistral AI). Each bar is 100% of analysed roles.
- All companies2,010 analysed45%25%16%
- Cerebras44 of 124 in its top six64%14%
- xAI119 of 299 in its top six67%18%
- Vercel31 of 87 in its top six35%26%23%16%
- Mistral AI94 of 239 in its top six32%22%20%18%
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. 80 of Cerebras's 124 open postings are not analysed yet or sit outside its six largest families. Colours are the sectors of the hiring orbit.
Table · 6 rows
| Family | Open | Share of company |
|---|---|---|
| Infrastructure | 16 | 13% |
| Hardware | 7 | 5.6% |
| ML engineering | 6 | 4.8% |
| Operations | 5 | 4.0% |
| Product | 5 | 4.0% |
| Security | 5 | 4.0% |
Exhibit 2 · Tool stack against the industry
Cerebras: Python 2.5× the industry share (27% of its analysed roles vs 11%)
Bar = share of Cerebras's postings in its top six families that ask for the tool; ink tick = share of all analysed postings. Its 8 most-asked tools.
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026. Per-company tools are its eight most-asked; the ratio is its share over the industry's.
Table · 8 rows
| Tool | Postings | Share of its top six | Industry share |
|---|---|---|---|
| Python | 12 | 27% | 11% |
| AWS | 4 | 9.1% | 5.0% |
| C++ | 3 | 6.8% | 1.6% |
| Go | 3 | 6.8% | 2.5% |
| GPU | 3 | 6.8% | 0.8% |
| Kubernetes | 3 | 6.8% | 4.0% |
| SQL | 3 | 6.8% | 4.3% |
| Ansible | 2 | 4.5% | — |
Exhibit 3 · Most common titles
Software Engineer leads Cerebras's titles with 8 postings; its top 8 titles hold 20
Bar = open postings with that exact title, without level, team or location.
- Software Engineer8
- Technical Program Manager5
- Counsel2
- AI Accelerator Performance Architect1
- AI Engineer1
- AI and Automation Engineer1
- ASIC RTL Design Engineer1
- BMS / EPMS Controls Engineer1
Source: the public job boards of 18 AI companies (238 boards), read daily · as of Nov 12, 2026.
Table · 8 rows
| Title | Postings |
|---|---|
| Software Engineer | 8 |
| Technical Program Manager | 5 |
| Counsel | 2 |
| AI Accelerator Performance Architect | 1 |
| AI Engineer | 1 |
| AI and Automation Engineer | 1 |
| ASIC RTL Design Engineer | 1 |
| BMS / EPMS Controls Engineer | 1 |
How the numbers are made
- Counts come from the public job boards of AI companies (Greenhouse, Ashby and Lever), read once a day.
- A posting is open from the day we first see it until a full read of its board no longer lists it.
- Each posting is classified by a language model into a fixed set of role families, seniority levels, work modes and AI focus, and the tools and skills it asks for are listed; shares are of classified open postings.
- New means published in the last 30 days (or first seen after our first collection day when the board gives no date); everything open on our first day is the baseline, not new hiring.
- Salary bands use the midpoint of ranges the postings state themselves, only where at least 10 postings of one family state a range in one currency.
- Roles, never people: no recruiter, hiring manager or applicant is collected.