Field Software Engineer

Gritt Robotics Inc; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Gritt Robotics Inc. in SF Bay Area is seeking a Field Software Engineer to bridge our autonomy stack with real-world job sites. You’ll deploy, tune, and troubleshoot robot software directly in the field, handling perception, planning, and control under practical conditions.

This is a hybrid role: on-site problem solving and production coding back at HQ. This role requires traveling to active sites across the US, strong hands-on robotics experience, and clear communication across hardware,

Qualifications

• Degree in computer science, robotics, mechanical or electrical engineering (or equivalent).
• 2+ years deploying software for robotics or autonomous systems in real-world/field.
• Experience with ROS2 across perception, planning and control.
• Proficient in Python and C++.
• Comfortable on-site troubleshooting and root-cause analysis under time pressure.
• Strong communication across hardware, software and operations teams.
• Willingness to travel regularly to job sites.
• Legally authorized to work in the US.

Responsibilities

• Deploy and support the autonomy stack directly on robots at active construction sites.
• Perform on-site troubleshooting and root cause analysis when robots misbehave in the field.
• Tune and calibrate sensing systems (LIDAR, cameras, IMU) for site conditions.
• Build and maintain tools for remote monitoring, telemetry, and diagnostics.
• Act as liaison between hardware, software and site operations teams.
• Write clear documentation and SOPs for field deployments.
• Contribute improvements to the autonomy stack from field learnings.
• Help optimize performance under field constraints (connectivity, power, weather, terrain).

Skills

ROS2

Python

C++

Field deployment

Communication

Education

Bachelor's in CS/Robotics/Engineering

Job description

Role:

Field Software Engineer

Location:

SF Bay Area (in-person), with regular travel to active job sites within the US

About the role

We're looking for a Field Software Engineer to be the bridge between our autonomy stack and the real-world job sites where it runs. You'll deploy, tune, and troubleshoot our robots' software directly in the field, working hands-on with perception, planning, and control systems as they encounter the unpredictability of live construction environments. This is a hybrid role: part software engineer, part on-site problem solver. You'll need to be as comfortable debugging a planner in the field under time pressure as you are writing production code back at HQ. Ideally, you have experience deploying robotics software in real-world conditions and enjoy owning a problem from root cause to shipped fix.

What you'll get to work on

• Deploy and support our autonomy stack directly on robots at active construction sites.
• Perform on-site troubleshooting and root cause analysis when robots misbehave in the field, and drive fixes back into the codebase.
• Tune and calibrate sensing systems (LIDAR, cameras, IMU) for site-specific conditions and terrain.
• Build and maintain tools for remote monitoring, telemetry, and diagnostics so issues can be caught and understood before they reach the field.
• Act as the technical liaison between hardware, software, and site operations teams, translating field feedback into engineering priorities.
• Author clear documentation and SOPs to support field deployments, operator training, and smooth site hand-offs.
• Contribute improvements directly to the autonomy stack based on real-world deployment learnings.
• Help optimize system performance and reliability under real field constraints (connectivity, power, weather, terrain).

What we look for

• Degree in computer science, robotics, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
• 2+ years of hands-on experience deploying software for robotics or autonomous systems in real-world or field environments.
• Experience with ROS2 and working across the autonomy stack (perception, planning, control).
• Proficient in Python and C++.
• Comfortable with on-site troubleshooting, root-cause analysis, and operating under time pressure in unstructured environments.
• Strong communication skills, with experience acting as a liaison across hardware, software, and operations/customer-facing teams.
• Willingness to travel regularly to job sites, most commonly outdoor environments.
• Should be comfortable taking ownership of tasks with light supervision.
• Legally authorized to work in the US.