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Senior Forward Deployed Engineer (AI for Semiconductors)

ScrumAID

San Francisco, CA · Posted November 2, 2026

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Skills this job asks for

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  • Python
  • Linux
  • React
  • Docker
  • Unix

About the job

An early-stage company that sells an AI agent platform to semiconductor makers needs a technically deep engineer to run customer deployments. You would troubleshoot a complex platform on live calls inside tightly controlled, air-gapped customer networks. Chip-design experience is not necessary, so this can be a way into the semiconductor industry.

Day to day

Take full ownership of one or two large enterprise customer engagements, from evaluation through rollout and expansion, each lasting several months

Diagnose problems live in a Python backend, React frontend and AI agents across Linux, containers, networking and file systems

Drive adoption by delivering training, logging and documenting issues, and confirming fixes reach the customer

Contribute to the core product between customer escalations and pass field insights to the roadmap

Make occasional trips to visit customers, both domestic and international

Qualifications

Experience carrying a technical customer rollout from kickoff to completion, whether as a forward deployed engineer, an early engineer or a founder

Deep Linux and Unix knowledge, including hands-on Podman or Docker setup, networking, NFS, symlinks and permissions

Strong Python and a knack for quickly learning a large codebase well enough to debug it

A computer science, electrical or computer engineering education (or a close relative) from a well-regarded school

On-site in the San Francisco Bay Area, five days a week. Visa transfers considered.