Software Engineer (AI/ML Focus)
About The Position
PSG is seeking a Software Engineer with AI/ML experience to design, develop, and deploy scalable software solutions supporting mission-critical systems. This is an engineering-focused role where you’ll help transition machine learning capabilities into production environments while building reliable, secure, and high-performing software systems. You’ll work at the intersection of software engineering, AI/ML, and DevSecOps, collaborating with data scientists, DevOps engineers, and system architects to deliver end-to-end solutions. This role is ideal for engineers who enjoy solving complex problems, owning their work, and contributing across the full software development lifecycle.
Requirements
- U.S. Citizenship
- Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
- 2-4+ years of relevant experience in software engineering or related fields
- Strong programming skills in Python
- Solid understanding of software engineering fundamentals (data structures, algorithms, system design)
- Experience with Git and CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.)
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience with Docker and Kubernetes or similar technologies
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Understanding of the ML lifecycle (training, validation, deployment, monitoring)
- Strong problem-solving and communication skills
Nice To Haves
- Experience integrating ML models into production systems
- Background working with sensor data, RF systems, or image-based data (e.g., SAR)
- Experience with additional languages (Java, C++, MATLAB, etc.)
- Exposure to DevOps or MLOps practices (CI/CD, IaC, container orchestration)
- Familiarity with real-world ML challenges (model drift, bias, performance vs. latency tradeoffs)
- Experience in defense, aerospace, or other regulated environments
Responsibilities
- Design, develop, test, and maintain scalable software applications and services
- Write clean, efficient, and maintainable code (primarily in Python)
- Build backend services, APIs, and data pipelines to support mission systems
- Integrate and deploy AI/ML models into production environments
- Collaborate with cross-functional teams to deliver end-to-end solutions
- Participate in code reviews, design discussions, and Agile development processes
- Troubleshoot and resolve software defects, performance issues, and system bottlenecks
- Contribute to system architecture with a focus on scalability, reliability, and security
- Support CI/CD pipelines, containerized deployments, and cloud-based environments
- Apply ML techniques to real-world problems (e.g., classification, detection, prediction)
- Help address ML challenges such as data quality, model drift, and performance tradeoffs
- Mentor junior engineers and contribute to engineering best practices
Benefits
- Competitive compensation & benefits
- 9/80 flexible work schedule
- Professional development & tuition assistance
- Small, agile team with high ownership and impact
- Work on mission-critical systems supporting national security
- Opportunities to grow across software engineering, AI/ML, and platform development
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
