Hybrid in Burlington, MA

Software Engineer – AI Platforms & Edge Computing

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.

Key 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.

Required Skills and Experience:

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.

Preferred Qualifications

  • 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.

Why Join Us

  • 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.

Compensation range: $150,000 - $170,000. Actual position within the range will be determined based on experience level of the candidate.

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