Tenstorrent

Staff Forward Deployed Engineer

Tenstorrent · Austin, Texas, United States; Santa Clara, California, United States; Santa Clara, California, United States; Toronto, Ontario, Canada

Posted about 3 months ago · $100k - $500k

or apply directly on Tenstorrent's site. We never take the application ourselves.

Is this posting real?

This role has been open
77 days
Tenstorrent's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
64% of Tenstorrent's roles list one
Ghost-job risk at Tenstorrent
high
131 stale, 1 reposted of 140 open
Hiring momentum
189 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Tenstorrent's own greenhouse board since 2026-08-03. Full hiring picture for Tenstorrent.

About this role

As a Staff Forward Deployed Engineer at Tenstorrent, you will work closely with customers and engineering teams to bridge the gap between AI products and user needs. Your responsibilities include writing production code, managing deployments, and providing clear explanations of technical trade-offs to both customers and engineering teams. This role emphasizes high autonomy and direct impact on customer success in AI solutions.

Our read on this posting3.2out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Tenstorrent as an employer.

What you need

  • Strong software engineering skills with 5+ years of relevant technical experience (e.g. Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, Field Application Engineer)
  • Experience turning ambiguous customer requirements or issues into verifiable acceptance criteria
  • Kubernetes and Helm experience at multi-node, HPC, or AI cluster scale
  • Experience with observability and infrastructure automation, e.g. Prometheus, Grafana, OpenTelemetry
  • Experience with LLM inference serving engines and technologies, e.g. vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache

What you get

  • Highly competitive compensation package
  • Compensation ranges from $100k - $500k including base and variable compensation targets
  • Equal opportunity employer

Worth weighing

  • Remote role with preference for candidates near main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON
  • Role requires understanding of hardware constraints on AI workloads
  • Candidates will be assessed for appropriate experience level during the interview process
  • Employment contingent upon eligibility to access U.S. export-controlled technology

Summarised from Tenstorrent's posting. Read the full original.

Listed by Tenstorrent on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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