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About the Role

We are hiring a Senior Embedded Machine Learning Engineer to own the end-to-end process of taking trained machine learning models and deploying them efficiently onto resource-constrained edge hardware. This role sits at the intersection of machine learning, embedded systems, and hardware engineering, focusing on integrating, converting, and optimizing models while building supporting C++ code for on-device execution.

Responsibilities

Optimize models using quantization, pruning, knowledge distillation, operator fusion, and graph optimization.
Convert and deploy trained models using ONNX and TensorRT to target hardware.
Profile inference on accelerators (GPUs, NPUs, DSPs, TPUs, FPGAs) and drive changes to meet targets.
Design, write, and maintain C++ code for on-device inference, including pre/post-processing, data management, and threading.
Build test harnesses to verify on-device accuracy and catch regressions.
Contribute to the pipeline for packaging, versioning, and delivering model updates.
Collaborate with research, firmware, and product teams to set performance targets and provide feedback on hardware constraints.
Provide technical leadership by setting best practices, reviewing designs and code, and mentoring engineers.
Develop and optimize computer vision algorithms for real-time drone detection, tracking, and classification.
Design and implement ML models for resource-constrained environments.
Integrate computer vision systems into the turret's hardware architecture.
Conduct testing and validation of computer vision algorithms in various scenarios.
Contribute to hardening the prototype turret into a military-grade system.

Requirements

A Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Computer Engineering or a related field, or equivalent practical experience.
10+ years of professional software or systems engineering experience.
At least 2 years focused on deploying ML models to embedded or edge devices.
Very strong proficiency in C/C++.
Proficiency with CUDA.
Hands-on experience with PyTorch.
Experience with at least one edge runtime or inference format (TensorFlow Lite, ONNX Runtime, TensorRT, or similar).
Practical experience with model optimization techniques such as quantization, pruning, or distillation.
Demonstrated ability to profile and optimize for latency, memory, and power on constrained hardware.
Working knowledge of embedded or edge platforms (e.g., NVIDIA Jetson, Google Coral, Qualcomm, ARM Cortex, or comparable NPUs and SoCs).
Working knowledge of Linux or an RTOS.
Solid grasp of computer architecture concepts relevant to inference.
Domain experience in computer vision or sensor processing on device.

Skills

Machine Learning
Embedded Systems
Hardware Engineering
Model Optimization
Quantization
Pruning
Knowledge Distillation
Operator Fusion
Graph Optimization
Model Conversion
Model Deployment
ONNX
TensorRT
Hardware Bring-up
Benchmarking
Inference Profiling
Latency Measurement
Throughput Measurement
Memory Footprint Measurement
Power Measurement
C++ Application Integration
Pre-processing
Post-processing
Data Management
Memory Management
Threading
Real-time Constraints
Accuracy Validation
Quality Validation
Model Update Pipeline
Over-the-air Updates
Cross-functional Collaboration
Technical Leadership
Best Practices
Code Review
Mentoring
Computer Vision
Autonomous Systems
Anti-Drone Systems
Robotics
Control Systems
C/C++
CUDA
PyTorch
TensorFlow Lite
ONNX Runtime
NVIDIA Jetson
Google Coral
Qualcomm
ARM Cortex
NPUs
SoCs
Linux
RTOS
Computer Architecture
Sensor Processing

Location

Onsite

Work Type

Full-time

Experience Level

Senior
10+ years of professional software or systems engineering experience
At least 2 years focused on deploying ML models to embedded or edge devices

Education Level

Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Computer Engineering or a related field, or equivalent practical experience.

Benefits

Competitive salary
ACS Equity Package
Health, Dental, Vision Insurance
Paid Time Off

About the Company

Allen Control Systems (ACS) is a cutting-edge defense startup founded by two former Navy electrical engineers with a proven track record in robotics and software.
We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
With an engineering-first culture, ACS values technical excellence and innovation.
Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.

Equal Opportunity

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment.
Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.