Key Responsibilities

• 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 segm

entation.Senso

• r Fusion: Integrate and fuse data from multi‑modal sensors (RGB, thermal, LiDAR/ToF, IMU, encoders) to produce robust, real‑time Regions of Interest (ROIs).Advan
• ced 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. Hardw
• are 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)Diagn
• ostics & Monitoring: Develop dashboards and telemetry for drift analysis, hardware health monitoring, performance metrics, and automated retraining triggers.Docum
• entation & Mentorship: Author clear technical docs; mentor junior engineers on best practices in vision, sensor‑fusion, and embedded firmware engineering.Quali
• tative Goal Determination: Determines development needs by directly analyzing technical and physical limitations of our goals.

Qualifications

• Hyper Engineer - your brain only releases dopamine when you're building
• Experience: 3–6 years in computer vision, sensor fusion, or robotics percepti

on roles.Techn

• ical Skills:Profi
• cient in C++ and PythonHands
• ‑on with ML frameworks (TensorFlow, PyTorch) and real‑time inference engines (TensorRT, OpenVINO)Famil
• iarity with Docker, and CI/CD for ML pipelinesExper
• ience with multi‑sensor calibration and data synchronizationEduca
• tion: 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.

Nice‑to‑Haves

• 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 & Firmware Requirements

• 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 p

rotocols.Embed

• ded 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.

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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 contact@aureliussystems.us

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We work 6 days a week in the office in downtown San Francisco, no remote available.