Software Engineer – AI Infrastructure & Edge Computing

MatrixSpace • Burlington, MA

8d

About The Position

Contribute to a software platform that powers AI-driven radar systems operating across edge and cloud environments! MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle. We're looking for a hands-on, C++-fluent Software Engineer to help build and scale the platform software that enables AI-powered applications at the edge. You'll spend time developing high-performance software in C++, building distributed services and APIs, and deploying applications across edge and cloud environments. You'll work closely with platform, AI/ML, and embedded systems engineers to deliver reliable, scalable systems that support real-time intelligence. If you're technically curious, can read code like a book, and are motivated by solving difficult systems problems, we'd love to talk.

Requirements

• 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
• Legally authorized to work in the United States without employer sponsorship
• May be required to obtain and maintain a U.S. government security clearance in the future

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed