Software Engineer – AI Platforms & Edge Computing

MatrixSpace • Burlington, MA

22h

About The Position

At MatrixSpace, we are building technology that bridges the physical and digital worlds — combining embedded systems, radar sensing, cloud computing, and AI to unlock powerful real-world intelligence. We are seeking a Software Engineer with 2-4 years of industry experience and proven expertise in C/C++, Go, and Python to join our core engineering team. This role focuses on building and scaling AI-driven platforms that operate across edge computing environments and cloud infrastructures. You will support the design, implementation, and operation of our Platform Software, enabling high-performance data processing, AI inference, and real-time communication across distributed edge and cloud systems. The ideal candidate thrives in a startup environment, combining technical proficiency with a growth mindset and system-level thinking.

Requirements

• 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.
• 2-4 years of software engineering experience in embedded, cloud, or distributed systems.
• Proficiency in C/C++, Go, and/or Python.
• Strong knowledge of edge computing, AI platform development, or real-time data systems.
• Understanding of TCP/IP and HTTPS for reliable and secure communication layers.
• Proven experience with service-oriented architectures, Infrastructure-as-Code frameworks (Terraform, CloudFormation), and SaaS systems.
• Hands-on experience with Docker, Kubernetes, and cloud-native deployment.
• Familiarity withCMake, BASH, and Linux-based build environments.
• Experience using Git or similar configuration management systems in collaborative software development.
• Exposure to AWS or other public cloud environments (Azure, GCP).
• Strong debugging, profiling, and performance optimization skills in distributed runtime environments.

Nice To Haves

• Experience building edge AI platforms, including model serving, data orchestration, or sensor-to-cloud integrations.
• Familiarity with AI/ML deployment frameworks (e.g.,TensorRT, ONNX Runtime,TorchServe).
• Understanding ofreal-time systems, streaming data, or event-driven architectures.
• Working experience in databased such as Postgres and Redis
• Experience with DevOps, CI/CD, and observability tools (Prometheus, Grafana).
• Knowledge of security, identity, and network optimization in edge environments.

Responsibilities

• Design and implement platform software supporting AI workloads, edge inference, and distributed data pipelines across hybrid environments.
• Lead architecture, design, and deployment of scalable systems in both cloud-based and on-premises runtime environments.
• Develop and maintain high-performance components in C/C++, Go, and Python, optimized for edge and real-time environments.
• Build and manage API-based middleware that connects AI models, data services, and frontend interfaces.
• Implement service-oriented architectures (SOA) and Software-as-a-Service (SaaS) frameworks to support modular, extensible system design.
• Leverage Infrastructure-as-Code (IaC) for automated provisioning, deployment, and configuration management.
• Employ containerization (Docker) and orchestration (Kubernetes) for edge-to-cloud deployments and lifecycle management.
• Integrate networking protocols (TCP/IP, HTTPS) for secure, high-throughput edge-cloud communication.
• Use CMake and BASH scripting for build automation, testing, and deployment pipelines.
• Collaborate using Git-based configuration management systems in a modern CI/CD environment.
• Work closely with data scientists and AI engineers to embed ML models into production-grade edge systems.
• Optimize performance, reliability, and scalability across resource-constrained and distributed computing environments.

Benefits

• Join a team that thrives on innovation and collaboration.
• Work on cutting-edge technology bridging embedded systems, cloud computing, and AI applications
• Collaborate with world-class engineers solving complex distributed systems challenges
• High ownership, fast iteration, and opportunities to lead architecture and innovation initiatives
• Competitive compensation, equity options, and a culture that values innovation and technical excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees