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Embedded Systems Engineer to lead hardware bring-up, platform integration, and real-world system development for AI-enabled edge platforms. The role will begin with off-the-shelf embedded and robotics hardware, with the potential to evolve into more bespoke hardware and system design as the architecture matures. Operate at the boundary of embedded Linux systems, hardware integration, and AI orchestration. Help define how intelligent agents transition from simulation and software into reliable physical platforms.
Job Responsibility:
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
Requirements:
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
Applicants must be legally authorized to work in the United States at the time of application
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
What we offer:
True focus on work/life balance
Paid company holidays, vacation, and separate sick leave