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Gradient Robotics

Autonomous robots for data-center construction

Hardware Technician

Full-Time
$80k - $120k/yr
Mid
San Francisco, CA, USA
In PersonOn-site in San Francisco five days per week, and six days per week if needed during crunch time.
Hardware Engineering

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 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

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • April 2026 hiring said it will deploy 100-plus robots to partners in July.
  • June 2026 postings said pilots targeted the world's largest data-center builders.
  • Mo said in 2025 pre-orders sold out 150-plus units from DeepMind, OpenAI, Stanford.

What critics are saying

  • Gradient had no public revenue or customer logos in July 2026, despite deployment claims.
  • April 2026 promises of 100-plus robots for July create execution risk if deliveries slip.
  • Hardware manufacturing and autonomy failures can burn cash fast before first deployment lands.

What makes Gradient Robotics unique

  • 2026 job posts show Gradient built full-stack robots for data centers and factories.
  • JX Mo's team built three robot generations in four months with seven people.
  • Gradient targets US-manufacturable robots, leveraging K-Scale and Tesla Optimus engineering lineage.

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