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About the Role

We are seeking a skilled Perception Engineer to join our software team and work on an 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.

Responsibilities

Design, train, validate and fine-tune machine-learning and deep-learning models for object detection, classification, and segmentation.
Integrate and fuse data from multi-modal sensors to produce robust, real-time Regions of Interest (ROIs).
Research, implement, and develop high and low-level image-processing techniques.
Collaborate with hardware teams to integrate and troubleshoot sensors over various protocols.
Develop and debug embedded firmware in C/C++ (or Rust) for microcontrollers and FPGAs within RTOS environments.
Build scalable data ingestion, labeling, augmentation, and storage pipelines.
Optimize inference frameworks for edge deployment, 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 documentation.
Mentor junior engineers on best practices in vision, sensor-fusion, and embedded firmware engineering.
Determine development needs by directly analyzing technical and physical limitations of our goals.

Requirements

2–6+ years in computer vision, sensor fusion, or robotics perception roles
Strong C++ with deep ML engineering experience
Hands-on with ML frameworks and real-time inference engines
Experience with computer vision, tracking, and detection in real-time, real-world conditions
Familiarity with ROS2, Docker, and CI/CD for ML pipelines
Experience with multi-sensor calibration and data synchronization
Shipped a perception system that ran on real hardware against real targets
Understanding of the gap between paper SOTA and field conditions
Must have "U.S. Person" status as defined by U.S. law (U.S. citizen, legal permanent resident, or certain protected classes of asylees and refugees).

Skills

YOLO
RT-DETR
CNNs
RGB
Thermal
LiDAR/ToF
IMU
Encoders
GigE Vision
USB3 Vision
CAN
SPI
I²C
C/C++
Rust
STM32
NXP
TI
VHDL/Verilog
FreeRTOS
Zephyr
TensorFlow
PyTorch
TensorRT
OpenVINO
ROS2
Docker
CI/CD
Edge-AI optimization
FPGA
Embedded GPU platforms
Cybersecurity guidelines
Secure coding practices

Location

San Francisco
Detroit

Work Type

Full-time
Onsite

Experience Level

2-6+ years

Education Level

BS, MS, or PhD in CS, EE, Robotics, or equivalent

Salary/Compensations

Competitive salary + equity

Benefits

United Health Care medical, dental, and vision coverage
Flexible 18 days PTO + 5 sick days
Travel to field test events and range days
Covered daily lunches and office snacks + drinks
E-bike / scooter stipend (Up to $500)
Direct access to leadership and real ownership over your work

About the Company

Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS.
We build laser weapons to shoot down drones.
We're a small team of engineers, former US military operators, and subject matter experts scaling America's directed energy dominance.
We aim to be the first cost effective, reliable and robust laser weapon system.
We operate with a small team, unreasonable output, and a focus on execution.
We have a San Francisco lab, a Detroit manufacturing hub, and field test weekly on our own 400-acre private range.