Software Engineer - AI Infrastructure & Edge Computing

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.

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

Someone Who Will Thrive in This Role

• Can read code like a book without having to rely heavily on documentation or explanation
• Enjoys building systems that bridge software, AI, and hardware
• Takes ownership and follows through on challenging technical problems
• Learns quickly and adapts comfortably in a fast-moving startup environment
• Thinks at both the system and implementation level
• Values collaboration, feedback, and continuous improvement
• Builds projects, experiments with new technologies, or contributes to technical communities outside of work

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

At MatrixSpace, platform engineering is where advanced sensing, AI, and distributed systems come together. You'll help build the foundation that enables our products to deliver real-time intelligence in the most demanding environments. If that sounds exciting, we'd love to hear from you.