Computer Vision Engineer - Senior at GRVTY – Springfield, Virginia

Your Impact

Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

Youll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.

In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

Responsibilities:

Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
Collaborate with engineering teams to integrate vision capabilities into defense systems.
Optimize performance for edge devices and embedded systems.
Complete testing and validation of computer vision systems.
Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities.
Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
Mentor junior engineers and help define best practices for the team.
Maintain security and compliance throughout the development lifecycle.

Were looking for engineers who are:

Fast-paced thinkers who enjoy solving tough problems in dynamic environments.
Collaborative professionals who work effectively across disciplines and teams.
Customer-focused individuals with experience engaging stakeholders, program managers, and product owners.
Self-starters able to own complex tasks with minimal oversight.
Lifelong learners who stay current with emerging technologies and industry trends.
Strong communicators capable of translating complex ideas into clear, actionable plans.
Technically aware with an understanding of evolving industry capabilities and innovations.

Required Qualifications:

Active TS/SCI clearance with Polygraph eligibility.
Bachelors degree in Computer Science, Data Science, or a related field; equivalent experience will be considered.
9+ years of experience in computer vision, machine learning, or closely related fields.
Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
Familiarity with OpenCV and classical computer vision techniques.
Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
Experience with machine learning utilities such as MLflow, Optuna, and DVC.

Desired Qualifications:

Experience supporting government or defense-related programs.
5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
Knowledge of real-time video analytics, sensor fusion, or 3D perception.
Experience working within secure or classified development environments.