Field Engineer - California

Gramian Consulting Group•San Francisco, CA

About The Position

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.

Requirements

Degree in Mechanical, Electronics, Mechatronics, or Software Engineering (or equivalent hands-on experience).
Experience: 2+ years in field engineering, hardware testing, or robotics operations.
Experience working with embedded systems (Linux/Android), cameras, or IMU sensors.
Comfortable working in factories, farms, or busy urban centers where conditions aren't perfect.
Excellent English communication skills (written and verbal) to document technical issues for a global engineering team.

Nice To Haves

Experience with wearable tech & vision systems is a major plus.

Responsibilities

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.