Forward Deployed Engineer
Tenstorrent is an AI-computing company that sells AI hardware and licenses AI and RISC-V intellectual property.
Maintainer signals as of 9/25/2026
Funding history
Investors
About Tenstorrent
Tenstorrent builds computers for AI, including AI processors, scalable server systems, and open-source software and compiler tooling. It also licenses AI and RISC-V IP for customers building customized silicon.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own customer outcomes for AI systems from integration through production readiness and ongoing operations. You will work directly with customer engineering and operations teams, develop production code, validate deployments, automate procedures, debug inference-stack issues, and resolve technical problems across hardware and software.
Requirements
- 5+ years of relevant experience in applied engineering, machine learning engineering, MLOps, platform engineering, infrastructure engineering, or site reliability engineering
- Proficiency in Python
- Experience turning ambiguous requirements into production-ready implementations, acceptance criteria, validation plans, and operating procedures
- Experience with Kubernetes and Linux systems administration at multi-node, HPC, or AI-cluster scale
- Experience with Helm-based deployments, observability, infrastructure automation, CI/CD, release engineering, and LLM inference frameworks
- Native or business-level Japanese and business-level English
- Eligibility to access U.S. export-controlled technology
Responsibilities
- Own customer outcomes across system integration, validation, production readiness, and ongoing operations
- Work with customer engineering and operations teams to understand environments, constraints, and desired outcomes
- Integrate, deploy, validate, automate, debug, and operate AI systems
- Develop production code and establish reliable operating procedures
- Drive customer systems through resolution until they work as intended
- Communicate technical trade-offs with customer leadership and core engineering teams