Matrixspace
Software Engineer – AI Platforms & Edge Computing
Matrixspace, Burlington, Massachusetts, us, 01805
Software Engineer – AI Platforms & Edge Computing
Key Responsibilities
Develop and maintain software components using C/C++, Go, or Python, with guidance from senior engineers.
Contribute to building and integrating API-based middleware, databases, and edge/cloud services.
Implement and support containerized applications using Docker and Kubernetes for development and deployment.
Collaborate on the development of Infrastructure-as-Code (IaC) scripts for automated deployment and configuration.
Assist in integrating AI/ML pipelines and inference runtimes into edge or embedded systems.
Work with networking protocols (TCP/IP, HTTPS) to ensure secure and efficient communication between distributed components.
Participate in code reviews, testing, and debugging to maintain high-quality, production-ready code.
Collaborate using Git in a team-based, agile software development environment.
Help automate build, deployment, and testing workflows using CMake, BASH scripting, and CI/CD tools.
Learn and contribute to system monitoring, troubleshooting, and performance optimization.
Required Skills & Qualifications
1–3 years of professional software engineering experience (or strong internship/project experience).
Proficiency in at least one of: C/C++, Go, or Python.
Familiarity with Linux development environments and basic scripting (BASH, Python).
Basic understanding of network protocols (TCP/IP, HTTPS).
Exposure to containerization (Docker) and/or orchestration tools (Kubernetes).
Experience with Git or similar version control systems in collaborative projects.
Eagerness to learn edge computing, cloud platforms (AWS, GCP, Azure), and AI system integration.
Strong problem-solving skills and attention to detail.
Applicants must be authorized to work in the United States without the need for current or future employer sponsorship.
Preferred Qualifications (Nice to Have)
Experience building edge AI platforms, including model serving, data preparation
Hands‑on experience or coursework related to AI/ML model deployment, data streaming, or edge devices.
Knowledge of DevOps, CI/CD pipelines, or GitOps workflows.
Exposure to build systems like CMake or Bazel.
Understanding of software design principles, distributed systems, or real‑time computing.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; or equivalent hands‑on experience.
Why Join Us
Shape the foundation of an AI and edge computing platform at the heart of a high‑impact startup.
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.
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Develop and maintain software components using C/C++, Go, or Python, with guidance from senior engineers.
Contribute to building and integrating API-based middleware, databases, and edge/cloud services.
Implement and support containerized applications using Docker and Kubernetes for development and deployment.
Collaborate on the development of Infrastructure-as-Code (IaC) scripts for automated deployment and configuration.
Assist in integrating AI/ML pipelines and inference runtimes into edge or embedded systems.
Work with networking protocols (TCP/IP, HTTPS) to ensure secure and efficient communication between distributed components.
Participate in code reviews, testing, and debugging to maintain high-quality, production-ready code.
Collaborate using Git in a team-based, agile software development environment.
Help automate build, deployment, and testing workflows using CMake, BASH scripting, and CI/CD tools.
Learn and contribute to system monitoring, troubleshooting, and performance optimization.
Required Skills & Qualifications
1–3 years of professional software engineering experience (or strong internship/project experience).
Proficiency in at least one of: C/C++, Go, or Python.
Familiarity with Linux development environments and basic scripting (BASH, Python).
Basic understanding of network protocols (TCP/IP, HTTPS).
Exposure to containerization (Docker) and/or orchestration tools (Kubernetes).
Experience with Git or similar version control systems in collaborative projects.
Eagerness to learn edge computing, cloud platforms (AWS, GCP, Azure), and AI system integration.
Strong problem-solving skills and attention to detail.
Applicants must be authorized to work in the United States without the need for current or future employer sponsorship.
Preferred Qualifications (Nice to Have)
Experience building edge AI platforms, including model serving, data preparation
Hands‑on experience or coursework related to AI/ML model deployment, data streaming, or edge devices.
Knowledge of DevOps, CI/CD pipelines, or GitOps workflows.
Exposure to build systems like CMake or Bazel.
Understanding of software design principles, distributed systems, or real‑time computing.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; or equivalent hands‑on experience.
Why Join Us
Shape the foundation of an AI and edge computing platform at the heart of a high‑impact startup.
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.
#J-18808-Ljbffr