Forward Deployed Engineer - Austin, Texas, United States
$100,000 - $500,000 USD yearly
Originally posted 27 October 2026 by the employer.
About the role
Tenstorrent is hiring a Forward Deployed Engineer to own the technical outcome of AI Hardware systems built with customers across hardware and software integration, deployment, validation, automation, debugging, and operations.
What you'll do
- Own customer technical outcomes in deployed environments across integration, validation, production readiness, and ongoing operations. - Work alongside customer engineering and operations teams to make complete AI hardware systems function in production or near-production environments. - Debug across the inference stack, spanning failing requests, kernel dispatch, drivers, networking, and hardware behavior. - Establish reliable operating procedures and automate repetitive tasks while communicating technical trade-offs to engineering teams and customer leadership. - Drive customer systems through resolution to verify accelerator compute, memory, and networking topology meet target requirements.
What you'll need
- Hands-on experience with server hardware in a datacenter environment. - Experience troubleshooting complex issues across hardware and software. - Experience with Linux systems administration, including debugging OS issues. - Previous experience as a Site Reliability Engineer, Systems Engineer, Platform Engineer, or Infrastructure Engineer.
Nice to have
- 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 regionally to support deployments.
Skills: customer deployments, AI accelerator, datacenter, Linux, Kubernetes
This role has been open 0 days — well below the 54-day median for Applications FAE roles.
Applications FAE · AI ML Hardware
|
Open roles in category
98
|
Median days open
54 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Tenstorrent | All employers we track in this specialty (98 roles · 18 employers) |
|---|---|---|
| Open roles in this specialty | 9 | 98 |
| Median days open | 41 d | 54 d (−13 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: customer deployments, AI accelerator, datacenter, Linux, Kubernetes
Who's hiring in this category
- NVIDIA · 55 open roles · median 55 d
- AMD · 13 open roles · median 53 d
- Tenstorrent (this employer) · 8 open roles · median 40 d
- Qualcomm · 4 open roles · median 60 d
- Intel Corporation · 3 open roles · median 11 d
- GlobalFoundries · 2 open roles · median 46 d
How we counted: 98 open Applications FAE (AI ML Hardware) roles from 18 employers tracked in the SemiconductorJobs index, counted 27 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.