Forward Deployed Engineer
US$100,000 – US$140,000 / yr base salary
Posted 3 Feb 2026
Advertised as “Forward Deployed Engineer (Irvine, CA)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2–3 yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$100,000 – US$140,000 / yr |
|---|
Field of studyComputer Science, Electrical Engineering, Mechanical Engineering, Robotics (or related)
Study levelMaster's or higher
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
About the Job As a Forward Deployed Engineer at Field AI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.
What You’ll Get To Do
- 1. Field Deployment & Operations
- Lead the end-to-end deployment of autonomous systems in customer environments.
- Ensure systems are configured, tested, and operational under real-world conditions.
- Troubleshoot and resolve technical issues quickly to maintain uptime and mission success. - 2. System Reliability & Performance
- Gather and analyze field feedback to identify areas for improvement.
- Work closely with product and engineering teams to drive enhancements into the core system.
- Implement monitoring and diagnostic tools to ensure sustained reliability. - 3. Customer Enablement & Adoption
- Partner with customer teams to train and support operators in achieving operational readiness.
- Translate complex technical concepts into clear, actionable workflows.
- Act as a trusted advisor to accelerate adoption and long-term value realization. - 4. Cross-Functional Collaboration
- Serve as the voice of the customer, bringing field insights back to engineering and product teams.
- Collaborate across software, hardware, and AI research groups to deliver integrated solutions.