Allen Control Systems
Sr. Embedded Machine Learning Engineer
Austin, TX · Senior
Sponsorship not specifiedDetected 13 days ago
C++LinuxRESTMachine LearningTensorFlowPyTorchComputer VisionEmbedded SystemsSystems EngineeringRoboticsElectrical EngineeringControlsResearch
About the role
- This role sits at the intersection of machine learning, embedded systems, and hardware engineering.
- Success means models that are not just accurate in the lab but fast, small, and dependable in the field.
Responsibilities
- measure latency, throughput, memory footprint, and power consumption, then drive the changes needed to hit performance targets.
- Design, write, and maintain the C++ application code that hosts inference on device, including pre- and post-processing pipelines, data and memory management, threading, and interfaces to the rest of the embedded system
- Build test harnesses to verify on-device accuracy against reference results and catch regressions from optimization or quantization
- Set best practices for edge deployment, review designs and code, and mentor other engineers on optimization and embedded ML techniques
- work closely with research, firmware, and product teams to set realistic performance targets and feed hardware constraints back into model design.
- 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.
Requirements
- 10+ years of professional software or systems engineering experience, including at least 2 years focused on deploying ML models to embedded or edge devices
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
- Very strong C++ proficiency
- working knowledge of CUDA
- hands-on experience with PyTorch and at least one edge inference runtime such as TensorFlow Lite, ONNX Runtime, or TensorRT.
- Practical experience with model optimization techniques including post-training quantization, quantization-aware training, pruning, and distillation
- Working knowledge of embedded or edge platforms such as NVIDIA Jetson, Qualcomm, ARM Cortex, or comparable NPUs and SoCs, and of Linux or an RTOS
- Experience with NVIDIA Jetson specifically, including TensorRT optimization and deployment on Jetson platforms.
Compensation
- Competitive salary
Benefits
- ACS Equity Package
- Health, Dental, Vision Insurance
- We are developing an autonomous gun turret using advanced computer vision and control systems to precisely detect, track, and neutralize enemy drones.
Company info
- 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.
Equal opportunity
- Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment.
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