Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

About the Client

Our client is a company developing frontier physical AI models. They are building diverse datasets of human activity. To do this, they deploy advanced wearable hardware to capture high-fidelity, multimodal data in real-world environments like factories, kitchens, and warehouses.

Role Overview

We are looking for a hands-on Field Engineer to own the technical success of our data collection hardware in the wild. You will be responsible for testing wearable devices, ensuring hardware/software reliability in diverse environments, and driving the iterative design of our Standard Operating Procedures.

You will be the link between our technical team and our field operations - running lab & field testing, capturing feedback, identifying issues, analysing the root cause and ultimately helping design a more resilient system.

Commitment Required: Minimum 20h/week, upto 40h/week

Project Duration: 2+ months

Locations: New York or Boston

Selection Process: One Client Interview

What does day-to-day look like?

•  Hardware & Software Field Testing
• Stress Testing: Put multiple wearable devices through their paces in different conditions (speed, temperature, humidity, dust, lighting etc).
• On-site Debugging: Troubleshoot data capture, connectivity, ergonomics, battery life, and software crashes in real-time to minimize downtime.
• Feedback & Product Iteration
• UX/Ergonomics Feedback: Collect detailed feedback from human demonstrators regarding wearable weight, comfort, interference, and heat dissipation during long shifts.
• Technical Reporting: Create structured testing reports to help teams prioritize key fixes and feature requests.
• Feature Validation: Act as the first user for new software features or hardware mods before they are rolled out to the broader operator fleet.
• SOP Design & Optimization
• Process Engineering: Work with the operational team to design the most efficient way to charge, sync, and deploy multiple wearables simultaneously.
• Data Quality Control: Monitor & analyse incoming data streams for quality issues and share feedback & insights with the technical team to help resolve these.
• Training: Build technical training manuals and train non-technical operators on how to handle and maintain the hardware.