Senior Computer Vision Engineer; Remote

Overview

Position Title:

Senior Computer Vision Engineer

Requisition

Location:

Remote
Final date to receive applications:
We are accepting applications on an ongoing basis

Who We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.

Our Culture
As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do.

Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.

Trusted Space is seeking a Senior Computer Vision Engineer with a bacheloru
2019s degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers.

Key Responsibilities

• Technical Execution Leadership
  :
  Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment.
• Strategic Technical Planning
  :
  Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders.
• Lead Model Development
  :
  Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints.
• Lead Dataset curation
  :
  Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run.
• Research & Innovation
  :
  Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance.

Qualifications

• United States citizenship required
• Bachelor’s degree in Imaging Science, Computer Science, Computer Vision, or related field
• 8+ years of experience in Computer Vision
• 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features
• Strong Proficiency in Python, C++, or other relevant languages
• Experience with ML frameworks like PyTorch, Tensor Flow, and scikit-learn
• Strong foundation in mathematics, statistics, and linear algebra
• Ability to identify and solve complex problems related to imagery analysis
• Presenting technical choices and trade-offs to executives and non-technical clients
• Ability to effectively communicate technical information to executives and non-technical audiences

Desired Skills

• Master’s or PhD degree in Imaging Science, Computer Vision, or Computer Science
• Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection
• Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and Ray Tune
• Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors
• Experience building and designing modern architectures such as CNNs and Vision Transformers
• Experience with data analysis tools and techniques such as Jupyter Lab, Napari, and Monai, and convey complex results
• Experience with modern offline data labeling…