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Edge Computing Jobs in Massachusetts (NOW HIRING)

Inficare Technologies

POS Engineer

Boston, MA · On-site

$134K - $177K/yr

Boston Support Center, MA (4 days onsite) Must Have(s): * 5 years high volume POS engineering experience * 3 years edge computing in large scale environment * 5 years POS hardware experience * 1 year ...

Inficare Technologies

POS Engineer

Boston, MA · On-site

$134K - $177K/yr

Boston Support Center, MA (4 days onsite) Must Have(s): * 5 years high volume POS engineering experience * 3 years edge computing in large scale environment * 5 years POS hardware experience * 1 year ...

Aquila Technology

Software Engineer

Lexington, MA · Hybrid

Experience with small compute platforms like Raspberry Pis, Arduino, Jetson or similar edge computing devices Preferred Skills: * Embedded development * CUDA / GPU Programming * Digital Signal ...

Aquila Technology

Software Engineer

Lexington, MA · Hybrid

Experience with small compute platforms like Raspberry Pis, Arduino, Jetson or similar edge computing devices Preferred Skills: * Embedded development * CUDA / GPU Programming * Digital Signal ...

Tristar AI, Inc.

Hardware Engineer

Cambridge, MA · On-site

$90 - $120/hr

Familiarity with NVIDIA GPUs, edge computing devices, and hardware integration for AI inference. * Ability to think critically about environmental constraints and optimize hardware setups for ...

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Edge Computing information

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How much do edge computing jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for edge computing in Massachusetts is $27.91, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $32.84 per hour, depending on experience, location, and employer.

What is an edge computing professional?

An Edge Computing job involves designing, deploying, and managing computing resources closer to the data source to reduce latency and improve real-time data processing. Professionals in this field work with distributed computing, networking, and security to ensure efficient and reliable performance of edge devices. Roles often include Edge Engineer, Edge Architect, or IoT Specialist, requiring expertise in cloud-native technologies, AI, and edge infrastructure. These jobs are critical in industries like healthcare, manufacturing, and autonomous systems where low-latency decision-making is essential.

What does an edge computing professional do?

As an Edge Computing professional, your daily tasks often include designing and deploying edge infrastructure, optimizing real-time data processing pipelines, and monitoring system performance to ensure low latency operations. You may coordinate with software developers, hardware engineers, and security specialists to integrate edge devices with cloud services. Troubleshooting network and latency issues, updating firmware, and implementing security protocols are also regular parts of the role. This multidisciplinary environment allows you to see immediate impacts from your work while constantly collaborating with cross-functional teams to solve complex problems.

What are the key skills and qualifications needed to thrive in edge computing?

To excel in Edge Computing, you need a solid background in distributed systems, network engineering, and real-time data processing, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools and platforms such as Docker, Kubernetes, IoT frameworks, and edge-specific cloud solutions, along with relevant certifications like CompTIA IoT+ or Cisco certifications, is highly advantageous. Strong problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating across technical and business teams. These skills ensure effective design, deployment, and maintenance of decentralized computing solutions that drive innovation and performance in various industries.

What are edge computing jobs?

Edge computing jobs involve designing, deploying, and maintaining computing infrastructure at or near data sources to reduce latency and improve performance. Roles often require knowledge of networking, cloud platforms, and programming languages like Python or C++, with certifications such as Cisco or AWS being beneficial.

What skills do you need for edge computing?

Edge computing professionals need strong skills in networking, programming, and systems architecture, with proficiency in languages like Python, C++, or Java. Knowledge of cloud platforms, IoT devices, and cybersecurity is also important, along with problem-solving abilities and experience with hardware integration. Certifications such as Cisco CCNA or CompTIA Network+ can enhance job prospects.

What are popular job titles related to Edge Computing jobs in Massachusetts?

For Edge Computing jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Edge Computing jobs in Massachusetts look for?

The top searched job categories for Edge Computing jobs in Massachusetts are:

Edge Computing jobs near you
Infographic showing various Edge Computing job openings in Massachusetts as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $58,051 per year, or $27.9 per hour.

Software Engineer - AI Infrastructure & Edge Computing

MatrixSpace

Burlington, MA • On-site

$140 - $190/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

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.

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