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 Staff Forward Deployed Engineer role.
Rezi rewrites your resume against Urban Ridge Supplies's job description. Free.

Tailor your resume to this Staff Forward Deployed Engineer role.
Rezi rewrites your resume against Urban Ridge Supplies's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Forward Deployed Engineer posting at Urban Ridge Supplies — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Staff Forward Deployed Engineer posting at Urban Ridge Supplies — free, in seconds.
About the Role
Tenstorrent is seeking a Staff Forward Deployed Engineer to build with engineers using their AI computers. This role creates continuity between customers, engineering, and AI inference service products, requiring the candidate to contribute production code, operate deployments, and clearly explain technical trade-offs. It's a high-autonomy role with direct customer impact.
Responsibilities
- Contribute production code
- Operate deployments
- Explain technical trade-offs to customer leadership and core engineering teams
- Work directly with customers to understand their challenges and provide effective solutions
- Bring feedback in the form of pull requests, reproducible code, benchmarks, and telemetry data
- Debug across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch
Requirements
- 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
- Understand how accelerator compute, memory, and networking topology constrain AI workloads
- Early adopter of AI for work from coding to building agentic workflows
- Comfortable debugging across the full inference stack
Skills
- AI
- RISC-V CPU
- Kubernetes
- Helm
- Prometheus
- Grafana
- OpenTelemetry
- vLLM
- SGLang
- Mooncake
- NIM
- Dynamo
- LMCache
Location
- North America
- Remote
- Santa Clara, CA
- Austin, TX
- Toronto, ON
Work Type
- Remote
Experience Level
- Staff
- Various experience levels
Salary/Compensations
- $100k - $500k
Benefits
- Highly competitive compensation package and benefits
About the Company
- Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
- Solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors.
- Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible.
- We value collaboration, curiosity, and a commitment to solving hard problems.
- We are growing our team and looking for contributors of all seniorities.
Equal Opportunity
- Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
- This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.