Robotics Deployment Engineer — Field & Lab Deployments

Humanoid

Cambridge (MA)

On-site

USD 100,000 - 130,000

Full time

21 hours ago
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Benefits offered by this job

Health coverage
PTO
401(k) match
Stock options
Free lunch
Collaboration with engineers
Opportunity to influence product

Job summary

Humanoid in Massachusetts is seeking a Product Deployment Engineer to support the deployment and integration of humanoid robot solutions at customer facilities across North America. The role involves on-site visits, data collection, lab simulations, and executing high-quality demos to showcase capabilities.

You will build test environments, coordinate PoCs, and collaborate with engineering and support teams to optimize deployment strategies.

Qualifications

  • Bachelor's degree in Engineering or related field.
  • Hands-on robotics deployment and maintenance experience.
  • Strong problem-solving and communication skills.

Responsibilities

  • Support deployment and implementation of humanoid robot solutions at customer locations.
  • Visit customer facilities to gather data and assess requirements for reliable integration.
  • Build test rigs and lab environments for reliability and acceptance testing.
  • Organise and conduct product demonstrations in the lab for customers and stakeholders.
  • Represent Humanoid at expos and events delivering live demos.
  • Plan and supervise on-site PoC and pilot projects with customers.

Skills

Robotics deployment
Troubleshooting
Project coordination
Communication
Independent work

Education

Bachelor's degree in Engineering or related field

Tools

CAD modeling
3D scanning
Digital twin

Job description

Humanoid in Massachusetts is seeking a Product Deployment Engineer to support the deployment and integration of humanoid robot solutions at customer facilities across North America. The role involves on-site visits, data collection, lab simulations, and executing high-quality demos to showcase capabilities.

You will build test environments, coordinate PoCs, and collaborate with engineering and support teams to optimize deployment strategies.

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