Senior Software Engineer

Location

On-Site - Dayton

At Parallax Advanced Research, our work is rooted in innovation, collaboration, and national impact. As a nonprofit research institute, we partner with government, academic, and industry clients to solve complex challenges in AI, aerospace, human‑machine teaming, and beyond.

Parallax Advanced Research Mission is to deliver innovative research and provide technology, human and business solutions via The Science of Intelligent Teaming™ for government, industry and academic clients. Parallax uses agile software development methods to deliver customized research and development software products in support of Air Force and other service missions.

The Senior Software Engineer will work with a team of varying sizes to ensure creation of software programs utilizing varying techniques, tools, and computer languages depending on the current directed needs of the customer. The Senior Software Engineer will oversee updates to software and conduct quality control functions.

Responsibilities (detailed below) include mentoring and supervision of developers; collaborating with management, departments, and customers to identify end‑user requirements and specifications; testing and deploying programs and applications, troubleshooting, debugging, maintaining and improving existing software; compiling and assessing user feedback to improve software performance; observing user feedback to recommend improvements to current software products and developing technical documentation to guide future software development projects.

• Architect, design, and implement enterprise‑grade applications for CAGE and Nauti‑CAGE platforms
• Write efficient, scalable, and secure code across multiple languages and frameworks
• Lead secure CI/CD pipeline design and automation
• Integrate vulnerability scanning, compliance checks, and runtime monitoring into deployments
• Champion best practices for secure coding and infrastructure‑as‑code
• Develop, optimize, and deploy algorithms for machine learning and artificial intelligence
• Handle large‑scale datasets, ensuring data integrity and model accuracy
• Collaborate with data scientists to operationalize ML models in production
• Mentor junior engineers and contribute to technical roadmaps
• Partner with cross‑functional teams to align software, security, and AI/ML initiatives
• Drive innovation by staying ahead of emerging technologies

• Active TS/SCI Clearance and US Citizenship are required
• Bachelor’s degree in Computer Science or related technical field with (10+ years) experience in software development
• Programming
  
  Languages:
  
  Python, Java, C++, Go, Rust, JavaScript/Type Script, SQL, No
  
  SQL, Tensor Flow, Pytorch, Matplotlib, OpenCV
• Proficiency with Dev Sec Ops  Tools:
  Docker, Kubernetes, Jenkins, Git Lab CI/CD, Terraform, Ansible, security scanning tools
• Cloud Platforms: AWS, Azure, GCP with emphasis on secure deployments and compliance
• Data Science & AI/ML:
  Feature engineering, model training, hyperparameter tuning, MLOps pipelines
• Architecture and Orchestration Frameworks: RAG (Retrieval‑Augmented Generation) and Agentic workflows;
  Lang Graph, CrewAI with the ability to design multi‑step “reasoning loops”
• 10+ years in software development, with at least 5 years in Dev Sec Ops  and AI/ML
• Proven track record of embedding security in software development
• Demonstrated ability to mentor, lead projects, and influence technical direction
• Strong written and verbal communication skills for cross‑team collaboration

• MS or PhD in Computer Science or related technical field
• Experience with Rust or Go for secure systems programming
• 15‑20 years leading software development teams capable of mentoring junior developers, influence technical direction, and improve
• Contributions to open‑source projects in Dev Sec Ops  or AI/ML
• Experience engineering novel image extraction, enhancement and inferencing pipelines for classification/segmentation, particularly when overcoming constraints like extremely small, labeled datasets
• Expertise in data augmentation and auto‑labelling practices to overcome data…