About this role
About the Role The Embedded Systems Engineer will lead hardware bring-up, platform integration, and real-world system development for AI-enabled edge platforms within Egofold. You will operate at the boundary of embedded Linux, hardware integration, and AI orchestration, moving intelligent agents from simulation to reliable physical platforms. This early-phase role focuses on turning off-the-shelf hardware into robust foundations for future bespoke systems.
What You'll Do
- Bring up and evaluate off-the-shelf embedded and edge compute platforms (e.g., Jetson-class systems, sensor kits, development boards).
- Integrate sensors, actuators, and communication interfaces into cohesive embedded systems.
- Develop and maintain embedded Linux systems, including device configuration, driver integration, and performance validation.
- Implement communication layers between embedded hardware and higher-level AI systems.
- Optimize latency, reliability, and deterministic behavior in constrained hardware environments.
- Design and implement fault-tolerant mechanisms and safe system states.
- Own end-to-end hardware/software integration for prototypes and demonstrators.
- Build test harnesses and validation tools to support rapid iteration.
- Contribute to architectural decisions that support modularity and future bespoke system expansion.
What We're Looking For
- 4+ years experience in embedded systems or platform integration engineering.
- Strong proficiency in C++ and experience working in embedded Linux environments.
- Experience bringing up hardware platforms and debugging hardware/software integration issues.
- Familiarity with CAN, UART, SPI, I2C, or Ethernet.
- Understanding of real-time constraints and system-level debugging.
- Experience working with physical hardware (motors, sensors, controllers, edge compute systems).
- Strong systems-thinking mindset and comfort working in early-stage environments.
Nice to Have
- Experience with NVIDIA Jetson or similar edge AI platforms.
- Familiarity with ROS or other robotics middleware.
- Experience with hardware-in-the-loop testing or simulation-to-real workflows.
- Experience integrating machine learning models into embedded systems.
- Background in robotics, applied AI startups, or hardware-focused R&D teams.
Compensation & Benefits
- Salary range: $130,000 – $170,000 annually.
- True focus on work/life balance; paid company holidays, vacation, and separate sick leave.
- Medical, dental, vision, and Life/LTD; 401k with company match.