We are seeking a skilled Perception Engineer to join our software team and own the end‑to‑end perception and sensor‑fusion stack. You will develop, train, and deploy vision and sensor based models; manage data pipelines; and enable real‑time detection and tracking for our laser‑based defense system. This role bridges data science, software engineering, and robotics to deliver reliable, high‑throughput perception performance on edge hardware.

• Model Development & Training: Design, train, validate and fine-tune machine‑learning and deep‑learning models (e.g., YOLO, RT-DETR, CNNs) for object detection, classification, and segmentation.
• Sensor Fusion: Integrate and fuse data from multi‑modal sensors (RGB, thermal, LiDAR/ToF, IMU, encoders) to produce robust, real‑time Regions of Interest (ROIs).
• Advanced CV Algorithms: Research, implement, and as-needed develop high and low-level image-processing techniques, such as deconvolution, low SNR detection, and motion-isolation techniques. 
• Hardware Integration & Firmware Development: Collaborate with hardware teams to integrate and troubleshoot sensors (global‑shutter and rolling‑shutter cameras) over GigE Vision, USB3 Vision, CAN, SPI, and I²C protocols; develop and debug embedded firmware in C/C++ (or Rust) for microcontrollers (STM32, NXP, TI) and FPGAs using VHDL/Verilog within RTOS environments (FreeRTOS, Zephyr).
• Data Handling & Pipelines: Build scalable data ingestion, labeling, augmentation, and storage pipelines (simulated and field data) ensuring large #s of labeled frames accuracy.
• Real‑Time Detection: Optimize inference frameworks for edge deployment (GPU/FPGA)
• Diagnostics & Monitoring: Develop dashboards and telemetry for drift analysis, hardware health monitoring, performance metrics, and automated retraining triggers.
• Documentation & Mentorship: Author clear technical docs; mentor junior engineers on best practices in vision, sensor‑fusion, and embedded firmware engineering.
• Qualitative Goal Determination: Determines development needs by directly analyzing technical and physical limitations of our goals.
  

• Hyper Engineer - your brain only releases dopamine when you're building
• Experience: 3–6 years in computer vision, sensor fusion, or robotics perception roles.
• Technical Skills:
• Proficient in C++ and Python
• Hands‑on with ML frameworks (TensorFlow, PyTorch) and real‑time inference engines (TensorRT, OpenVINO)
• Familiarity with Docker, and CI/CD for ML pipelines
• Experience with multi‑sensor calibration and data synchronization
• Education: BS/MS in Computer Science, Robotics, Electrical Engineering, Mathematics, or related (PhD a plus).
• Soft Skills: Strong problem‑solving, communication, and cross‑functional collaboration ability.
  

• Edge‑AI optimization (quantization, pruning)
• Experience with FPGA or embedded GPU platforms
• Background in defense or safety‑critical systems
• Familiarity with cybersecurity guidelines and secure coding practices
  

• Hardware Interfaces: Proven experience integrating and troubleshooting multi‑modal sensors (global‑shutter and rolling‑shutter cameras, thermal imagers, LiDAR/ToF modules, IMUs), including proficiency with GigE Vision, USB3 Vision, MIPI, CAN, SPI, and I²C protocols.
• Embedded Firmware: Skilled in developing and debugging firmware in C/C++ (or Rust) for microcontrollers (STM32, NXP, TI) and FPGAs using VHDL/Verilog; familiarity with RTOS environments (FreeRTOS, Zephyr) and hardware abstraction layers for low‑latency data acquisition and sensor calibration.

!!!

Send all applications w/ resume, evidence of excellent previous work, portfolio, github/website and a description of the most impressive thing you've done to [email protected]

!!!