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Staff Forward Deployed Engineer

TenstorrentAustin, Texas, United States; Santa Clara, California, United States; Santa Clara, California, United States; Toronto, Ontario, CanadaExperience
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Salary
Not listed
Job type
Full-time
Posted
6 Aug 2026
Status
Open · checked 7d ago

About this role

Tenstorrent is seeking a Staff Forward Deployed Engineer to bridge the gap between customers, internal engineering, and AI inference products. This high-autonomy position is based out of North America with location preferences in Austin, Texas, Santa Clara, California, or Toronto, Ontario, and suits skilled professionals with a strong background in software and machine learning infrastructure.

Role Overview

This position focuses on building technology alongside the engineers utilizing Tenstorrent AI computers. As an engineering-first role, daily responsibilities include writing production code, managing deployments, and effectively communicating technical trade-offs to both client leadership and core product teams. The position offers direct customer impact and operates out of North America, with a preference for candidates near primary hubs in Santa Clara, Austin, or Toronto.

Key Responsibilities

Collaborate directly with clients to analyze challenges and deliver functional technical solutions.
Troubleshoot and debug across the entire inference stack, handling serving layers, out-of-memory errors, and kernel dispatches.
Translate unclear client requests and problems into verifiable acceptance criteria.
Transmit field feedback through pull requests, reproducible source code, benchmarks, and telemetry data.
Build agentic workflows to increase personal and team productivity.

Requirements

Minimum of 5 years of relevant technical experience in fields such as Applied Engineering, Machine Learning Engineering, MLOps, Platform Engineering, Infrastructure Engineering, Site Reliability Engineering, or Field Application Engineering.
Comprehensive understanding of how hardware constraints like accelerator compute, memory, and networking topology impact AI workloads.
Hands-on experience with Kubernetes and Helm utilized at multi-node, high-performance computing, or AI cluster scale.
Familiarity with infrastructure automation and observability tools including Prometheus, Grafana, and OpenTelemetry.
Experience working with large language model inference serving engines and related technologies such as vLLM, SGLang, Mooncake, NIM, Dynamo, and LMCache.
Eligibility to access United States export-controlled technology in compliance with federal laws and regulations.

Skills and Tools

Kubernetes and Helm
Large Language Model (LLM) inference engines (vLLM, SGLang, Mooncake, NIM, Dynamo, LMCache)
Observability and automation tools (Prometheus, Grafana, OpenTelemetry)
MLOps and infrastructure engineering practices

Salary and Benefits

Total compensation package for engineers spans from $100,000 to $500,000, encompassing base salary and variable compensation targets.
Final offers are determined by individual experience, background, location, skills, and education.
Includes competitive compensation and benefits packages from an equal opportunity employer.

About the Company

Tenstorrent leads the artificial intelligence industry by developing cutting-edge technology designed to redefine performance expectations, cost efficiency, and ease of use. The organization unites innovations across software models, compilers, platforms, networking, and semiconductors, having built a high-performance RISC-V CPU completely from scratch. The company thrives on collaboration, curiosity, and a dedication to solving complex engineering problems.

How to Apply

Interested candidates should visit the official Tenstorrent careers page to submit an application for this opportunity.

Skills and tech stack

Questions candidates ask

Where is this role located?

This remote role is based out of North America, with a preference for candidates near the company hubs in Santa Clara, California; Austin, Texas; or Toronto, Ontario.

How many years of experience are required?

The position requires 5+ years of relevant technical experience in roles such as Applied Engineer, Machine Learning Engineer, MLOps Engineer, Platform Engineer, Infrastructure Engineer, Site Reliability Engineer, or Field Application Engineer.

What is the salary range for engineers at Tenstorrent?

Compensation for all engineers ranges from $100k to $500k, including both base salary and variable compensation targets, depending on experience and location.

What tools and technologies will I work with?

You will work with Kubernetes, Helm, observability tools like Prometheus and Grafana, OpenTelemetry, and LLM inference engines such as vLLM, SGLang, Mooncake, NIM, Dynamo, and LMCache.

Are there export control requirements for this position?

Yes, employment is contingent upon the applicant being eligible to access U.S. export-controlled technology due to U.S. Export Administration Regulations.

Ready to apply?

The application is on the official Tenstorrent careers page.

Apply on company site