Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Forward Deployed Engineer role.
Rezi rewrites your resume against Tenstorrent's job description. Free.
Tailor your resume to this Forward Deployed Engineer role.
Rezi rewrites your resume against Tenstorrent's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Forward Deployed Engineer posting at Tenstorrent — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Forward Deployed Engineer posting at Tenstorrent — free, in seconds.
About the Role
Own the technical outcome of AI systems built with customers, working alongside customer engineering and operations teams to ensure successful deployment and operation in production environments. This role involves hardware and software integration, deployment, validation, automation, debugging, and ongoing operations, contributing production code and driving customer systems to resolution.
Responsibilities
- Own technical outcomes across system integration, validation, production readiness, and ongoing operations.
- Work directly with customer engineering and operations teams to understand their environments, constraints, and desired outcomes.
- Debug across the inference stack.
- Communicate technical trade-offs clearly with customer leadership and core engineering teams.
- Contribute production code.
- Establish reliable operating procedures.
- Drive customer systems through resolution until they work as intended.
Requirements
- Strong software engineering skills with 5+ years of relevant experience in applied engineering, machine learning engineering, MLOps, platform engineering, infrastructure engineering, or site reliability engineering.
- Proficiency in Python; C++ experience is a plus.
- 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, including Helm-based deployments, observability, infrastructure automation, CI/CD, release engineering, and LLM inference frameworks such as vLLM, SGLang, or Mooncake.
- Bilingual: Native or business-level Japanese with business-level English.
Skills
- Python
- C++
- Kubernetes
- Linux systems administration
- Helm-based deployments
- Observability
- Infrastructure automation
- CI/CD
- Release engineering
- LLM inference frameworks (vLLM, SGLang, Mooncake)
Location
- Tokyo, Japan
Work Type
- Hybrid
Experience Level
- Various experience levels considered
- 5+ years of relevant experience
Benefits
- Highly competitive compensation package
About the Company
- Leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
- Developing a high-performance RISC-V CPU from scratch.
- Values collaboration, curiosity, and a commitment to solving hard problems.
Equal Opportunity
- Equal opportunity employer.