Company profile

Bright Machines Tech Stack

Robotic, AI-driven manufacturing of AI and data center server hardware

Manufacturing San Francisco, California 51–200 employees Founded 2018 Privately Held

Bright Machines builds automated factory capacity for AI and data center infrastructure, pairing industrial controls (Beckhoff TwinCAT 3, Fanuc, Cognex, Keyence) with a cloud-native ML stack (PyTorch, CUDA, TensorRT, Kubernetes, ArgoCD). Job posts point to Mexican customs work (IMMEX, Annex 24) reconciled in NetSuite, signaling cross-border production. Hiring is accelerating and split evenly between engineering and manufacturing.

Tech Stack 63 technologies

Core StackAWS Terraform ArgoCD Kubernetes GitLab Grafana Prometheus OpenTelemetry Python Ansible NetSuite PyTorch SolidWorks AutoCAD Jira Azure CUDA TensorRT Beckhoff PLC Cognex Zebra AutoCAD Electrical SOLIDWORKS Electrical Fanuc eDrawings HMI TwinCAT 3 Structured Text Keyence SCADA+32 more

What Bright Machines Is BuildingChallenges and projects from their job posts

◆Challenges

Reducing time to revenue and time-to-market
Mexican customs compliance for temporarily imported materials
Scaling inspection solutions into production
Maintaining uptime of robotic assembly systems
Rising market demand for computing power
Manufacturing skill gaps and new-hire training

▲Active Projects

Productizing visual inspection and defect detection models
Establishing MLOps practices
Automation equipment deployment
IMMEX customs inventory control reconciled with NetSuite
Incoming inspection of server components

Hiring Activity

Accelerating20 roles · 7 in 30d

Department

Engineering

Manufacturing

Finance

Ops

Security

Seniority

Mid

Senior

Junior

Manager

Staff

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About Bright Machines

Bright Machines is a San Francisco-based, privately held manufacturer founded in 2018 with 51–200 employees. The company combines robotics, programmable automation and production data to build AI and data center infrastructure for customers seeking faster time to revenue. Its operations span robotic assembly, machine-vision inspection of server components and electrical wiring of final applications. Engineering runs on AWS, Azure, Terraform and GitLab, with NetSuite supporting finance and inventory. Current hiring is concentrated in the United States.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Bright Machines use?

Bright Machines uses AWS, Azure, Kubernetes, Terraform, ArgoCD and GitLab, plus PyTorch, CUDA and TensorRT for ML, and Beckhoff TwinCAT 3, Fanuc, Cognex and Keyence on the factory floor.

Is Bright Machines hiring?

Yes, hiring is accelerating in the United States, centered on engineering and manufacturing roles, with smaller openings in finance, operations and security.

What is Bright Machines working on?

Projects include productizing visual inspection, building defect detection models, establishing MLOps practices, deploying automation equipment and managing Mexican customs inventory under IMMEX.

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How this profile is built

Bright Machines's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.