Deployment Solution Engineer

Genesis AI; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Genesis AI is seeking an experienced deployer to translate customer use cases into reliable robotic deployments. You will work directly with customers to understand operations, assess automation feasibility, and define clear requirements and success metrics.

You'll design end-to-end deployment solutions spanning software, hardware, model capabilities, and tooling, balancing performance with reliability. On-site trials and iterative refinements ensure the system meets acceptance criteria.

Qualifications

• Track record delivering technical solutions in real-world environments.
• Hands-on engineering with Python and Linux.
• Experience integrating hardware and software via APIs or control systems.
• Ability to translate customer requests into concrete technical plans.
• Bias toward field work and deployment over whiteboard demos.
• Willingness to travel to customer sites.

Responsibilities

• Own the technical path from customer use case to deployment.
• Work with customers to define requirements, success metrics, deployment scope.
• Design deployment solutions across software, hardware, model capabilities, tooling, and customer systems.
• Hands-on at customer sites: configure systems, run evaluations, debug failures, iterate until acceptance criteria are met.
• Collaborate with research, robotics engineering, and platform teams to turn field failures into improvements.
• Build reusable tools and deployment playbooks to speed future site onboarding.

Skills

Python

Linux

ROS/ROS 2

APIs & integration

Job description

About Genesis

We are a full-stack general-purpose robot company, born across San Francisco and Paris and bound by a single mission: to make general-purpose robots a reality, unlocking infinite physical labor for the world and freeing people for creativity, exploration, and the pursuits they love for their own sake.

We are French and American by birth and global by nature. We are backed by partners who share our vision, including Eclipse, Khosla Ventures, Bpifrance, and HSG, alongside Eric Schmidt, Xavier Niel, Daniela Rus, and Vladlen Koltun. Our people work across the Bay Area and Europe, building the engine that will teach robots to do real work in the real world. We recently unveiled Eno, our wheeled, dexterous robot powered by our GENE foundation model, and we are starting to put it to work with real customers.

What You'll Do

• Own the technical path from customer use case to working deployment, turning real-world workflows into solutions our robots can reliably execute.

• Work directly with customers to understand their operations, assess automation feasibility, and define requirements, success metrics, and deployment scope.

• Design and implement deployment solutions across product management, robot hardware, model capabilities, tooling, and customer systems, making practical tradeoffs between performance, reliability, and integration complexity.

• Get hands-on at customer sites: configure systems, run evaluations, debug failures, and drive iterations until the solution meets agreed acceptance criteria.

• Work closely with research, robotics engineering, and platform teams to turn field failures into actionable improvements, distinguishing what requires a better model, a software fix, or a change to the physical setup.

• Build reusable tools, integration patterns, and deployment playbooks that make each new site faster and easier to bring online.

What You'll Bring

• Track record of delivering technical solutions in real-world environments, with ownership that extends through integration, troubleshooting, and customer acceptance.

• Strong hands-on engineering skills, including Python, comfort working in Linux, and experience integrating hardware and software through APIs, interfaces, or control systems.

• Enough robotics depth to investigate a failed task across system.

• Ability to translate an ambiguous customer request into a concrete technical plan, explain tradeoffs clearly, and set expectations grounded in what the system can deliver.

• Strong bias toward the field over the whiteboard, with the persistence to work through the gap between a successful demo and reliable daily operation.

• Clear written communication skills to document configurations, failure modes, and operating procedures that others can use without you in the room.

• Comfort operating with incomplete information and traveling to customer sites to support deployments.

• Bonus: Experience with robot manipulation, ROS/ROS 2, industrial automation, or integrating systems into manufacturing and logistics workflows.