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AI Embedded Systems Engineer

AI Embedded Systems Engineer

Blue SignalManhattan, NY
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Title : Edge AI Systems Engineer – Autonomous Robotics

Location : Manhattan, NY (Hybrid or On-Site)

About the Company :

A trailblazing force in intelligent automation is seeking an Edge AI Systems Engineer to help shape the future of smart robotics. With applications spanning from advanced manufacturing to cutting-edge healthcare systems, this innovator combines machine learning and embedded computing to build autonomous platforms that thrive in dynamic, real-world environments. Join a team where engineering creativity meets mission-driven purpose, and make a tangible impact on the next generation of adaptive robotics.

Position Summary :

This role is perfect for an engineer with deep expertise in both embedded systems and AI deployment who wants to push the boundaries of real-time robotic intelligence. As an Edge AI Systems Engineer, you’ll build high-performance software and hardware integration pipelines, ensuring neural networks execute with precision, speed, and safety on resource-constrained platforms.

Key Responsibilities :

  • Develop and optimize embedded software that powers intelligent edge devices across robotic platforms.
  • Translate ML models into real-time, deployable code using frameworks like TensorRT and ONNX.
  • Design and implement low-level drivers for sensors, actuators, and control systems.
  • Integrate sensor fusion and computer vision algorithms for onboard decision-making.
  • Tune systems for low latency and high reliability in safety-critical, real-world applications.
  • Collaborate cross-functionally with AI, hardware, and robotics teams for end-to-end deployment.
  • Perform hardware bring-up, integration testing, and diagnostics for prototype systems.

Technology Environment :

  • Languages : C / C++, Python
  • Platforms : NVIDIA Jetson, ARM Cortex-M, STM32, Coral Edge TPU
  • Tools & Frameworks : TensorRT, ONNX, RTOS, ROS2, Yocto, PyTorch, TensorFlow Lite, OpenCV
  • Interfaces : CAN, I2C, SPI

    • Qualifications : Required :

  • BS or MS in Electrical Engineering, Computer Engineering, Robotics, or a related field.
  • 3+ years of experience developing firmware for embedded systems with AI integration.
  • Proven experience deploying neural networks to edge platforms or hardware accelerators.
  • Strong skills in real-time software optimization and debugging on embedded targets.
  • Knowledge of sensor technologies, control loops, and system-level integration.

    • Preferred :

  • Hands-on experience with robotic vision systems, depth sensors, or lidar.
  • Background in signal processing or real-time sensor fusion.
  • Familiarity with safety compliance standards in automation or robotics (e.g., ISO 13849).
  • Exposure to model optimization methods such as quantization and pruning.

    • What’s Offered :

  • Direct impact on product design and deployment in intelligent automation systems.
  • Competitive compensation package with equity opportunities.
  • Robust benefits including health coverage and professional development support.
  • Hands-on access to emerging tools in AI, robotics, and edge computing.
  • A collaborative engineering culture driven by innovation and experimentation.
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    Embedded Engineer • Manhattan, NY