Forward Deployed Engineer

Tenstorrent • Toronto, ON

13h • $100,000 - $500,000 • Hybrid

About The Position

Tenstorrent is hiring a Forward Deployed Engineer to own the technical outcomes of AI hardware systems built with customers. The role works alongside customer engineering and operations teams to make complete systems work in production or near-production environments. It spans hardware and software integration, deployment, validation, automation, debugging, and ongoing operations. The engineer contributes to customer deployments, establishes reliable operating procedures, and drives customer systems through resolution until they work as intended.

The role is hybrid and based in Santa Clara, California; Austin, Texas; or Toronto, Canada. Candidates at various experience levels are welcome; the appropriate level will be assessed during interviews, and offers will align with that level. Compensation ranges from $100,000 to $500,000, including base and variable compensation targets, with actual offers influenced by experience, skills, education, background, and location.

Employment is contingent on eligibility to access U.S. export-controlled technology. Depending on citizenship, permanent residency, or the ability to obtain prior license approval, an offer may be rescinded if employment is not possible under U.S. export laws.

Requirements

• Hands-on experience with server hardware in a datacenter environment.
• Experience troubleshooting complex hardware and software issues.
• Experience with Linux systems administration, including debugging operating system issues.
• Previous experience as a Site Reliability Engineer, Systems Engineer, Platform Engineer, or Infrastructure Engineer.

Nice To Haves

• Experience working with and troubleshooting GPUs, PCIe devices, or large clusters.
• Strong software engineering skills in Python; C++ experience is a plus.
• Experience turning ambiguous requirements into production-ready implementations, acceptance criteria, validation plans, and operating procedures.
• Kubernetes and Linux systems administration experience at multi-node, HPC, or AI cluster scale, including Kubernetes orchestration.
• Experience with observability, infrastructure automation, CI/CD, release engineering, and LLM support.
• Willingness to travel in the region to support deployments.

Responsibilities

• Own technical outcomes for customer AI hardware systems in deployed environments.
• Work with customer engineering and operations teams to integrate and operate complete systems in production or near-production environments.
• Contribute to customer deployments, including hardware and software integration, deployment, validation, automation, debugging, and ongoing operations.
• Establish reliable operating procedures and drive customer systems through resolution until they work as intended.
• Understand customer environments, constraints, and desired outcomes.
• Debug across the inference stack, including failing requests, kernel dispatch, drivers, networking, and hardware behavior.
• Automate repetitive work and communicate technical trade-offs to customer leadership and core engineering teams.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed