Tenstorrent
Semiconductors · RISC-V AI chip (Jim Keller)
- HQ
- Toronto, CA
- Founded
- 2016
- Website
- tenstorrent.com
Semiconductors · RISC-V AI chip (Jim Keller)
Tenstorrent currently has 27 active AI-related job listings, with a significant majority, 81%, focused on serving infrastructure. Engineering roles comprise all of their AI hiring. The company is primarily hiring in the United States and Canada. Frequent technical tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on AI model deployment and management. In the last 30 days, Tenstorrent has not posted any new AI roles, representing a 100% decrease compared to the previous 30-day period.
Currently tracking 22 active AI roles, down 42% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$500k (avg $300k).
Tenstorrent currently has 25 active AI-related roles in our index. The most common open titles are: Sr. Engineer, Software - AI Compiler (2), AI/ML Physical Design Flow Engineer, C++ Machine Learning Engineer, Models Training, Design Verification Lead, AI Hardware , Infrastructure and Platform Development Engineer. Most positions are in Engineering and Research.
Tenstorrent's active AI hiring is concentrated in: serving infrastructure (80%), agents (8%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Tenstorrent is hiring AI talent in: United States (10 roles), Canada (8 roles), Serbia (4 roles), Poland (2 roles).
Job postings at Tenstorrent most frequently reference: inference infra, model serving, fine tuning, agent orchestration, vision.
In the past 30 days, Tenstorrent has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Staff Technical Program Manager, AI Systems and IP Delivery Staff Technical Program Manager responsible for end-to-end delivery of AI model IP and supporting software (compiler outputs, runtime libraries, model artifacts, hardware collateral) into customer environments. This role involves defining release criteria, aligning cross-functional teams (hardware, compiler, runtime, kernel, legal), identifying and mitigating integration risks, and providing leadership visibility on deployment status. The role bridges customer requirements with engineering realities, focusing on AI systems and IP delivery at scale. | ShipServe | 7 |