Embedded Systems Engineer, Autonomous Vehicles (Federal)
Quick Summary
Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.
About the Role
~1 min readAt FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for an Embedded Systems Engineer to support design, implementation, integration, and , deployment of wheeled robotic platforms across both federal and commercial programs
As an Embedded Systems Engineer on the Federal Team at FieldAI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you’ll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.
1. Compute System Design
Requirements
~1 min read
Location & Eligibility
About this job
- Pay per year
- $100,000–$240,000 a year
- 13% above the $150,000 median for Systems Engineer jobs on Jobera (1,443 salaries).
- Who can apply
- United States
- Posted
- 176 days ago
Listing Details
- Posted
- May 12, 2026
- First seen
- May 12, 2026
- Last seen
- November 4, 2026
Posting Health
- Days active
- 175
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- November 4, 2026
Signal breakdown
Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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