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Cerebras

Cerebras

Semiconductors · Wafer-scale AI chip

HQ
Sunnyvale, US
Founded
2016
Website
cerebras.net

Currently tracking 35 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $170k–$250k (avg $206k).

Hiring
35 / 35
Momentum (4w)
↑+2 +14%
16 opens last 4w · 14 prior 4w
Salary range · avg $206k
$170k–$250k
USD · disclosed roles only
Tracked since
Mar '24
last role 2d ago
Hiring velocityscroll left for older weeks
1 new role
Oct 23
1 new role
Mar 4
1 new role
Jul 8
1 new role
Mar 24
1 new role
Apr 7
1 new role
21
1 new role
Jul 14
1 new role
21
1 new role
Sep 8
1 new role
22
2 new roles
29
1 new role
Oct 6
1 new role
13
3 new roles
27
2 new roles
Nov 10
4 new roles
24
1 new role
Dec 8
1 new role
15
5 new roles
Jan 5
2 new roles
12
3 new roles
19
2 new roles
26
2 new roles
Feb 2
3 new roles
9
8 new roles
16
5 new roles
23
7 new roles
Mar 2
1 new role
9
2 new roles
16
2 new roles
23
4 new roles
30
6 new roles
Apr 6
5 new roles
13
4 new roles
27
6 new roles
May 4
1 new role
11

Jobs (3)

35 AI · 93 total active
FilteredFunctionResearch×CountryUnited States×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllPretrain · 2Post-train · 3Serve · 28Ship · 2
Function
AllEngineering · 29Research · 4Product · 2
Country
AllUnited States · 23Canada · 21India · 3United Arab Emirates · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Advanced Technology: AI/ML Research Scientist
Research Scientist role focused on designing AI models and training methods from first principles, leveraging novel wafer-scale hardware architectures. The role involves investigating computational science techniques for AI, understanding hardware-algorithm interactions, and publishing research at top-tier venues. The work directly influences future hardware and software design.
PretrainResearchHeadquarters +35w ago10
Advanced Technology: R&D Engineer - AI/ML, HPC
Research Engineer role focused on designing and implementing AI/ML workloads on Cerebras' wafer-scale hardware, optimizing performance, and contributing to future hardware/software roadmaps. Involves algorithm-hardware co-design, performance modeling, and publishing research.
Serve
Research
Headquarters +3
5w ago
9
Principal ML Investigator
Cerebras is seeking a Principal ML Investigator to lead a new ML team focused on advanced development in areas like post-training, reinforcement learning, dataset curation, LLM pretraining, sparsity, and various domains (coding agents, reasoning agents, generative language, image, video). The role involves building the team, formulating research agendas, adapting algorithms to Cerebras hardware, training/tuning/evaluating models, and collaborating with internal and external partners.
PretrainPost-trainResearchHeadquarters +1Dec '259