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Gradient Robotics

Autonomous robots for data-center construction

Hardware Technician

Hardware EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$80k - $120k /yr

About the Job

Requirements

  • Making experience, such as DIY projects or makerspace experience.
  • Proficiency in computer-aided design (CAD).
  • Experience diagnosing and resolving hardware issues.
  • Ability to work efficiently under pressure and meet deadlines across multiple projects simultaneously, with strong prioritization skills.
  • Willingness to take initiative and recognize areas of potential improvement without being asked.
  • Excellent communication skills.
  • Commitment to learning and developing engineering skills through hands-on experience.
  • Comfort with ambiguity and a high-ownership mindset.
  • Ability to work on-site in San Francisco five days per week, and six days per week if needed during crunch time, embedded in the team.

Responsibilities

  • Own task flow across teams by organizing and prioritizing incoming work from multiple teams and keeping everything moving on schedule.
  • Own the 3D printing equipment by operating and maintaining various types of printers and keeping them running reliably.
  • Own the workflow by taking ownership of work and designing projects that optimize how the individual and team operate.
  • Own documentation by communicating and documenting test results and data clearly and concisely.

Desired Qualifications

  • Experience at a hardware, robotics, or manufacturing company.
  • Hands-on experience with a range of shop tools beyond 3D printing.
  • Comfort using artificial intelligence tools to multiply personal output.

About the Company

Gradient Robotics

Autonomous robots for data-center construction

Gradient Robotics builds autonomous robotic systems to automate the physical construction and maintenance of AI data centers. It offers full-stack robotics for demanding industrial facilities, including vision-language-action models, proprietary hardware, operating systems, and networking stacks, enabling robots to perform tasks such as assembling server systems and swapping components. The company differentiates itself by developing US-manufacturable robots at scale with integrated in-house manufacturing capabilities and a focus on data center buildout, partnering with major AI infrastructure firms to deploy its technology. Its goal is to reduce manual labor bottlenecks in AI data center expansion and to bring scalable, autonomous robotic workforce solutions to customers, aiming for first deployments around 2026 and beyond.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2020

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