About this role
About the Role Embedded Systems Engineer to lead hardware bring-up, platform integration, and real-world system development for AI-enabled edge platforms within Egofold at Snail Games. The role will begin with off-the-shelf embedded hardware and may evolve into bespoke hardware as the architecture matures. You will operate at the boundary of embedded Linux systems, hardware integration, and AI orchestration to help intelligent agents transition from simulation to reliable physical platforms. 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 communication protocols such as 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.