Robotics Application Engineer - Hardware

present of AI; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

Ultra is seeking a Robotics Application Engineer - Hardware to bridge customer needs with practical hardware solutions in a Brooklyn lab. You will prototype, test, and refine hardware fixes for AI-driven robotics used in packaging tasks, ensuring clear handoff to field teams.

The role combines hands-on mechatronics with customer communication, scheduling, and post-test documentation to support reliable deployment in warehouse environments.

Qualifications

• Hands-on mechatronics and hardware troubleshooting experience.
• Ability to gather and translate customer needs into hardware specs.
• Experience with test planning and validation workflows.

Responsibilities

• Gather customer needs and translate into hardware requirements.
• Rebuild customer setup in a Brooklyn lab and validate with tests.
• Design and test fixes using 3D printed and assembled parts.
• Hand a proven plan to the field team and support deployment.

Skills

Mechatronics

Prototyping

3D printing

Customer requirements gathering

Test planning

Tools

Python

Linux

Job description

Robotics Application Engineer - Hardware

This role covers the stretch between a closed sale and a live robot in a customer warehouse. The work is gathering customer needs, rebuilding their setup in a Brooklyn lab, designing and testing fixes with 3D printed and assembled parts, then handing a proven plan to the field team. A strong candidate mixes hands-on mechatronics with clear customer communication and dependable follow-through on timelines.

How it fits the AI era

The robots run on AI, so the job shifts toward making that AI work on new products and packaging types, using lab tests and timing data to see what holds up. AI can help with documentation, analysis of test videos and scripting. Judgment about what a customer really needs, creative hardware fixes and trust built with people on both sides stay human.

How it builds AI experience

Working next to robot pilots and watching AI-driven robots handle real packaging tasks gives close exposure to how such systems behave and fail in practice. Someone building this experience could learn basic Python and Linux, and practice recording and comparing test runs. Ultra's focus on e-commerce order packaging makes it a useful setting to see AI applied to physical work.

Worth showing

• Mechatronics prototyping and 3D printing
• Customer requirements gathering
• Python or Linux scripting
• Timing studies and test documentation
• Warehouse or automation experience

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Ultra

Ultra makes OP1, a multi-purpose AI robot for industrial warehouse work, per the company.