Software Engineer – AI Platforms & Edge Computing

What You'll Do

• Design and develop platform software supporting AI workloads, edge inference, and distributed data processing
• Build and maintain high-performance components in C++, Go, and Python for real-time and resource-constrained environments
• Develop APIs and middleware that connect AI models, data services, and user-facing applications
• Deploy and operate distributed systems across cloud, on-premises, and edge environments using modern infrastructure tools
• Partner with AI, platform, and embedded engineering teams to bring machine learning capabilities into production systems
• Improve system performance, scalability, reliability, and observability across the platform
• Mentor and guide more junior engineers

What We're Looking For

• This position requires working directly or indirectly with the US Government in restricted environments.
• Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

Required

• 4+ years of professional software engineering experience or equivalent demonstrated expertise
• Strong, hands-on C++ development experience; applicants without significant C++ expertise will not be considered
• Experience building backend systems, distributed applications, or platform infrastructure
• Proficiency in at least one additional language such as Go or Python
• Experience with Linux development environments, networking fundamentals, and modern software engineering practices
• Demonstrated ability to independently solve technical problems and deliver production-quality software
• Strong communication and collaboration skills in cross-functional engineering teams

Bonus Points

• Experience with edge computing, AI/ML platforms, or real-time systems
• Experience with Kubernetes, Docker, Infrastructure-as-Code, or CI/CD pipelines
• Experience deploying machine learning models into production environments
• Familiarity with service-oriented architectures, SaaS platforms, or distributed data pipelines
• Experience working with embedded systems, sensing technologies, robotics, aerospace, defense, or autonomous systems