Network Software Engineer, Real-Time Systems
FieldAI · On-site
MeritLog read this listing from FieldAI's Lever job board and last checked it on September 10, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $125,000 - $170,000
- Location
- Irvine, CA
- Company website
- www.fieldai.com
Hiring context
How this role compares at FieldAI
FieldAI has 131 live roles in MeritLog’s catalog across 7 job families, and 100 of them are in engineering. 95 of those listings publish a pay range, a disclosure rate of 73%.
This role's posted range of $125,000 - $170,000 sits above 21% of the 77 other FieldAI roles quoted over the same currency and period.
FieldAI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
Job description
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. We’re looking for a Software Engineer to build the connectivity layer powering FieldAI’s robotic platforms in the real world. In this role, you’ll design and deploy low-latency, high-reliability communication systems that enable seamless, real-time interaction between robots and remote operators. You’ll work across cellular networks (4G/5G), edge-to-cloud systems, and distributed device infrastructure to ensure robust performance in dynamic, unpredictable environments. You’ll tackle hard problems like network handoffs, intermittent connectivity, and maintaining real-time performance under mobility, interference, and degraded conditions. This includes building systems that gracefully adapt to changing network quality while preserving responsiveness and reliability. This is a deeply hands-on role at the intersection of robotics, networking, and distributed systems. Your work will directly determine how our robots perceive, communicate, and operate in the field.