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.
- 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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