Machine Learning System Engineer

Owl Autonomous Imaging, Inc.; United States; Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical coverage

401(k) match

Unlimited PTO

Flexible work environment

Job summary

Owl Autonomous Imaging is seeking a Machine Learning System Engineer to design and deploy real-time ML and computer vision systems for edge devices. You will translate high-level requirements into scalable architectures, optimize for latency and power, and lead edge deployment on Jetson-class hardware.

You will work across perception, ML inference, and edge deployment stacks, building CI/CD for model validation, and supporting imaging/video pipelines with Python, C++, PyTorch, OpenCV, and MATLAB

Qualifications

• Bachelor's degree in CS, software engineering, computer engineering, or equivalent.
• 5+ years of software development experience.
• Ability to translate complex technical concepts for non-technical stakeholders.
• Strong background in ML and deep learning (CNNs and transformers).
• Experience with computer vision and video processing (detection, classification, 3D/stereo vision).
• Proficiency in Python, C++, and tools such as PyTorch, OpenCV, and MATLAB.
• Experience with imaging systems, image processing, and GPU-accelerated computing.
• Strong systems engineering and architecture experience across complex software stacks.

Responsibilities

• Design, build, and deploy real-time ML and computer vision systems.
• Own ONNX → TensorRT export and optimization workflows for edge deployment on Jetson hardware.
• Profile, benchmark, and optimize modules for latency and power budgets.
• Build and maintain the edge inference runtime and CI/CD pipelines for model validation.
• Oversee hardware-in-the-loop testing on NVIDIA Jetson platforms.
• Guide development of imaging and video processing pipelines using Python, C++, OpenCV, PyTorch, TensorFlow, and MATLAB.

Skills

Python

C++

PyTorch

OpenCV

MATLAB

Deep Learning

Computer Vision

NVIDIA Jetson

TensorRT

CUDA

CI/CD

Edge AI

System Architecture

Education

Bachelor's degree in CS/Engineering

Equivalent experience

Tools

NVIDIA Jetson SDK

TensorRT

CUDA

DeepStream

GStreamer

VPI

libargus

ONNX

Job description

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Machine Learning System Engineer

Location: Remote | Employment Type: Full Time

About the Role

As a Machine Learning System Engineer, you will design, build, and deploy advanced machine learning and computer vision systems for real-time applications. You will translate high-level product requirements into scalable system architectures, drive execution across complex software stacks, and deliver high-performance perception and edge AI systems in an Agile environment.

What You’ll Accomplish

• Develop deep learning and computer vision systems, including CNN- and transformer-based perception pipelines for real-time applications.
• Own ONNX → TensorRT export and optimization workflows for edge deployment on Jetson- class hardware.
• Profile, benchmark, and optimize all system modules against strict latency and power budgets.
• Build and maintain the full edge inference runtime (model loading, orchestration, memory management, power monitoring)
• Design and enforce CI/CD pipelines for model validation, regression testing, and performance guardrails (latency + accuracy).
• Oversee hardware-in-the-loop testing on NVIDIA Jetson platforms (Orin Nano, Orin NX, etc.).
• Guide development of imaging and video processing pipelines using Python, C++, OpenCV, PyTorch, TensorFlow, and MATLAB.
• Build camera and video ingestion pipelines on Jetson (DeepStream, GStreamer, VPI, libargus/V4L2) using zero-copy, GPU-resident buffers.
• Translate product requirements into scalable, production-ready technical solutions.
• Drive system architecture decisions across perception, ML inference, and edge deployment stacks.
• Design and implement autonomous perception algorithms for real-time perception and decision-making systems.
• Develop and optimize ADAS features supporting vehicle safety and driver assistance capabilities.
• Ensure reliable delivery of GPU-accelerated, real-time robotics and vision systems.

Role Level & Scope

• Individual contributor role

What We’re Looking For

Required

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or equivalent
• 5+ years of software development experience
• Ability to translate complex technical concepts into clear, accessible language for non- technical stakeholders.
• Strong background in machine learning and deep learning (CNNs and transformers)
• Experience with computer vision and video processing (detection, classification, 3D/stereo vision, point clouds)
• Proficiency in Python, C++, and tools such as PyTorch, OpenCV, and MATLAB
• Experience with imaging systems, image processing, and GPU-accelerated computing
• Strong systems engineering and architecture experience across complex software stacks
• Ability to translate product requirements into technical solutions and drive Agile execution
• Experience with configuration management in multi-system environments

Preferred

• Experience leading or managing software engineering teams
• Thermal imaging experience or familiarity
• Experience optimizing and evaluating neural network performance in production systems
• Valid driver’s license or ability to obtain one within the first 6 months of employment.
• Background: bringing R&D technologies into production or commercialization
• Deep experience with NVIDIA TensorRT, CUDA, and Jetson SDK
• Strong profiling expertise using tools like nsys / nvprof to identify bottlenecks
• Understanding of FP16/INT8 quantization tradeoffs and calibration workflows, including quantization‑aware training (QAT) when post‑training quantization underperforms
• Experience with edge inference runtimes or serving systems (not just cloud MLOps)
• Strong systems programming skills (C++/Python, memory management, multi-process orchestration)
• Experience implementing multi‑rate scheduling systems (perception, SLAM, tracking at different frequencies)
• Familiarity with Jetson Orin Nano hardware constraints (no DLA, no hardware video encoder, unified CPU–GPU memory, zero-copy buffer management, 4–8 GB budget)

Compensation Range

$100k – $140k annually, based on experience, qualifications, and geographic location, plus applicable benefits.

Physical & Work Environment Requirements

• Prolonged periods of sitting at a desk and working on a computer
• Must be able to lift up to 40 pounds at times
• Primary work environment is a professional corporate office and electronics laboratory
• Travel: Ability to travel domestically as required for the position
• Candidates must be able to perform the essential functions of the position, with or without reasonable accommodation

Position Eligibility

This position could be subject to contractual requirements that require the successful candidate to be a U.S. Citizen.

Who We Are

Owl Autonomous Imaging is helping define the next generation of Physical AI through advanced thermal imaging semiconductors and AI powered perception platforms. Our technology enables autonomous drones, robotic systems, intelligent machines, and other platforms to perceive and operate in degraded, denied, and no visibility environments where conventional sensors fail.

As a U.S. based developer of advanced long wave infrared (LWIR) imaging technology, Owl is building next generation thermal perception systems for applications across defense, robotics, and safety and security.

At Owl, we foster a culture of innovation, collaboration, technical excellence, and accountability. Our team tackles challenging engineering problems, develops technology with real world impact, and plays a direct role in shaping the future of intelligent machines.

What We Offer

• Competitive salary and benefits
• Medical, dental, and vision coverage
• 401(k) with company match
• Unlimited paid time off and company holidays
• Flexible work environment

Equal Employment Opportunity

Owl AI (Owl Autonomous Imaging) is an equal opportunity employer. We are committed to providing equal employment opportunities to qualified applicants and employees without regard to race, color, religion, sex, pregnancy, childbirth or related medical conditions, sexual orientation, gender identity, national origin, age, disability, genetic information, or protected veteran status, or any other status protected by applicable federal, state, or local law.

Reasonable Accommodation

Owl AI is committed to providing reasonable accommodations to qualified individuals with disabilities during the application process and employment, consistent with applicable law. If you require an accommodation to participate in the application process, please contact Human Resources directly at [e-mail] .