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# Field-Programmable Gate Array (FPGA)

- **Company:** CareerCircle
- **Location:** Tucson, AZ, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $166,400.0 - $208,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Artificial Neural Networks, Computer Vision, Automation of Tests, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing Security, Nvidia CUDA, Computer Engineering, Field-Programmable Gate Array (FPGA), Imaging Technology, Python (Programming Language), MATLAB, Machine Learning, NumPy, Object Detection, OpenCV, Tensorflow, Sensor Fusion, Software Engineering, Software Systems, Software Technical Review, Reinforcement Learning, Supervised Learning, Integrated Service Routers, Real Time Systems, Feature Engineering, Data Ingestion, Pytorch, Apache Spark, Deep Learning, Git, Pandas, Linux Development, Scikit Learn, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Multiaccess Edge Computing, Software Version Control, Docker, Unsupervised Learning, Programming Languages
- **Published:** August 5, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/az/tucson/f837d9a3-bcf0-4704-892b-e417e129d212

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or related field.
 * 5+ years of professional software development experience.
 * 3+ years of hands-on machine learning or artificial intelligence experience.
 * Strong Python development experience.
 * Experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.
 * Experience developing production-grade software solutions.
 * Strong understanding of Supervised Learning, Unsupervised Learning, and Reinforcement Learning concepts.
 * Experience with model training and validation.
 * Experience processing large datasets.
 * Experience using Linux development environments.
 * Ability to explain model decisions and performance trade-offs.
 * U.S. Citizenship required., * Master's or PhD in Machine Learning, Computer Vision, Artificial Intelligence, Computer Science, Physics, Mathematics, or related field.
 * Experience in Computer Vision, Object Detection, Sensor Fusion, Image Processing, Multi-Target Tracking, and Geospatial Analytics.
 * Aerospace or defense program experience.
 * Knowledge of space systems, satellite payloads, or ISR platforms.
 * Experience with IR imaging systems.
 * CUDA / GPU optimization experience.
 * Experience with MLOps pipelines and model deployment.
 * Experience with AWS GovCloud, Azure Government, or secure cloud environments.
 * Familiarity with classified environments or security clearance processes.
 * Experience deploying AI models to embedded hardware, FPGA accelerators, or edge computing devices.

Work Environment

This position offers a remote work environment. The technical environment includes programming languages such as Python, C++, and MATLAB (preferred). Tools and frameworks used include PyTorch, TensorFlow, OpenCV, Scikit-Learn, NumPy, Pandas, Docker, and Git. Nice-to-have technologies include Kubernetes, CUDA, ONNX, Ray, MLFlow, and Apache Spark.
Job Type & Location

## Description

MATLAB
OpenCV
MLflow
Physics
Visionary
Pipelines
Innovation
Algorithms
Kubernetes
TensorFlow
Mathematics
Nvidia CUDA
Deep Learning
Sensor Fusion
Data Ingestion
Edge Computing
Test Automation
Microsoft Azure
Computer Vision
Computer Science
Machine Learning
Embedded Systems
Object Detection
GPU Optimization
Docker (Software)
Anomaly Detection
Security Clearance
Systems Engineering
Amazon Web Services
Applied Mathematics
Feature Engineering
Supervised Learning
Software Engineering
Software Development
Computer Engineering
Demonstration Skills
Programming Languages
Aerospace Engineering
Unsupervised Learning
Packaging And Labeling
Electrical Engineering
NumPy (Python Package)
Reinforcement Learning
Artificial Intelligence
Pandas (Python Package)
Concept Drift Detection
Software Technical Review
Engineering Design Process
C++ (Programming Language)
Integrated Service Routers
Machine Learning Frameworks
Git (Version Control System)
Python (Programming Language)
Scikit-Learn (Python Package)
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Open Neural Network Exchange (ONNX)
Field-Programmable Gate Array (FPGA), We are seeking a talented AI / Machine Learning Engineer to develop and implement machine learning and deep learning algorithms focused on imagery and sensor exploitation. This role involves designing AI solutions for object detection, classification, tracking, and anomaly detection, and building and optimizing computer vision pipelines for real-time or near-real-time processing.
Responsibilities

 * Design AI solutions for object detection, classification, tracking, and anomaly detection.
 * Build and optimize computer vision pipelines for real-time or near-real-time processing.
 * Develop data ingestion, labeling, and feature engineering workflows.
 * Support deployment of AI/ML algorithms onto embedded, edge, or space-qualified computing environments.
 * Collaborate with systems engineers to derive AI requirements and validate algorithm performance.
 * Work with software engineers to transition prototypes into operational applications.
 * Evaluate model performance using mission-relevant metrics and datasets.
 * Create automated testing, validation, and model monitoring capabilities.
 * Support customer demonstrations, technical reviews, and program milestones.
 * Contribute to research and development efforts involving advanced sensing technologies and autonomous systems., MLflow
Physics
Visionary
Pipelines
Innovation
Algorithms
Kubernetes
TensorFlow
Mathematics
Nvidia CUDA
Deep Learning
Sensor Fusion
Data Ingestion
Edge Computing
Test Automation
Microsoft Azure
Computer Vision
Computer Science
Machine Learning
Embedded Systems
Object Detection
GPU Optimization
Docker (Software)
Anomaly Detection
Security Clearance
Systems Engineering
Amazon Web Services
Applied Mathematics
Feature Engineering
Supervised Learning
Software Engineering
Software Development
Computer Engineering
Demonstration Skills
Programming Languages
Aerospace Engineering
Unsupervised Learning
Packaging And Labeling
Electrical Engineering
NumPy (Python Package)
Reinforcement Learning
Artificial Intelligence
Pandas (Python Package)
Concept Drift Detection
Software Technical Review
Engineering Design Process
C++ (Programming Language)
Integrated Service Routers
Machine Learning Frameworks
Git (Version Control System)
Python (Programming Language)
Scikit-Learn (Python Package)
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations)
Open Neural Network Exchange (ONNX)
Field-Programmable Gate Array (FPGA)
+0


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