Edge Perception Engineer: Real-Time Vision & Sensor Fusion

Aurelius Systems; San Francisco (CA); Presencial; USD 130 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Health insurance

Paid time off

Travel to field tests

Lunch and snacks

Transit/EBike stipend

Direct leadership access

Resumo da oferta

Aurelius Systems seeks a Perception Engineer to join our software team and advance end‑to‑end perception on edge hardware. You will develop, train, and deploy vision and sensor models, manage data pipelines, and enable real‑time detection and tracking for our laser‑based defense system.

This role bridges data science, software, and robotics, requiring collaboration with hardware teams and hands-on embedded development in C/C++ and ROS2. Expect field tests and rapid iteration.

Qualificações

• 2–6+ years in computer vision, sensor fusion, or robotics perception roles.
• Hands-on with ML frameworks (TensorFlow, PyTorch) and real-time inference engines (TensorRT, OpenVINO).
• Familiarity with ROS2, Docker, and CI/CD for ML pipelines.

Responsabilidades

• Design, train, validate and fine-tune machine‑learning and deep‑learning models (e.g., YOLO, RT-DETR, CNNs) for object detection, classification, and segmentation.
• Integrate and fuse data from multi‑modal sensors (RGB, thermal, LiDAR/ToF, IMU, encoders) to produce robust, real‑time ROIs.
• Research, implement, and as‑needed develop high and low‑level image‑processing techniques, such as deconvolution, low SNR detection, and motion‑isolation techniques.
• Collaborate with hardware teams to integrate and troubleshoot sensors over GigE Vision, USB3 Vision, CAN, SPI, and I²C protocols; develop and debug embedded firmware in C/C++ (or Rust) for microcontrollers and FPGAs in RTOS environments.
• Build scalable data ingestion, labeling, augmentation, and storage pipelines (simulated and field data) ensuring 100k+ labeled frames accuracy.
• Optimize inference frameworks for edge deployment (GPU/FPGA), achieving ≥500 Hz end‑to‑end throughput.
• Develop dashboards and telemetry for drift analysis, hardware health monitoring, performance metrics, and automated retraining triggers.
• Author clear technical docs; mentor junior engineers on best practices in vision, sensor‑fusion, and embedded firmware engineering.

Conhecimentos

C++

Machine learning

Vision systems

ROS2

Docker

CI/CD

Multi-sensor data fusion

Formação académica

BS/MS/PhD in CS/EE/Robotics

Ferramentas

TensorFlow

PyTorch

TensorRT

OpenVINO

Descrição da oferta de emprego

Aurelius Systems seeks a Perception Engineer to join our software team and advance end‑to‑end perception on edge hardware. You will develop, train, and deploy vision and sensor models, manage data pipelines, and enable real‑time detection and tracking for our laser‑based defense system.

This role bridges data science, software, and robotics, requiring collaboration with hardware teams and hands-on embedded development in C/C++ and ROS2. Expect field tests and rapid iteration.