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Edge Computing Jobs in Massachusetts (NOW HIRING)

Chooch

Field Technician - Camera/AV

Boston, MA · On-site

$21.50 - $29.25/hr

Exposure to AI, computer vision, or edge computing concepts Benefits Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance ...

Chooch

Field Technician - Camera/AV

Boston, MA

$21.50 - $29.25/hr

Exposure to AI, computer vision, or edge computing concepts Benefits Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance ...

Chooch

Field Technician - Camera/AV

Boston, MA · On-site

$21.50 - $29.25/hr

Exposure to AI, computer vision, or edge computing concepts Benefits Chooch offers extensive benefits including health, dental, vision insurance, 401K with 3% match, extensive PTO, and life insurance ...

QuEra Computing, Inc.

Optical Scientist - R&D

Boston, MA · On-site

$130K - $211K/yr

... cutting-edge quantum hardware development. Responsibilities * Design, prototype, and deploy opto-mechanical systems for next-generation quantum computing platforms, with a focus on hands-on ...

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How much do edge computing jobs pay per hour?

As of Jun 16, 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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud infrastructure can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant growth potential.

Does edge computing have a future?

Edge computing is a growing field with increasing adoption across industries such as manufacturing, healthcare, and IoT, creating demand for professionals skilled in network architecture, security, and cloud integration. As data processing needs expand and latency becomes more critical, job opportunities for roles like edge computing engineers are expected to rise steadily. Staying current with cloud platforms, programming languages, and security protocols enhances employability in this evolving area.

Does Tesla use edge computing?

Tesla employs edge computing in its vehicles to process data locally for features like Autopilot and real-time diagnostics, reducing reliance on cloud servers. This approach enhances response times and system reliability, which are critical for autonomous driving and vehicle safety systems.

What skills are needed 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, cybersecurity, and data management is also important, along with problem-solving abilities and familiarity with hardware and embedded systems. Certifications such as Cisco CCNA or CompTIA Security+ can enhance job prospects.

What are the key skills and qualifications needed to thrive in the Edge Computing position, and why are they important?

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 is an Edge Computing job?

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 are typical daily responsibilities of an Edge Computing professional?

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 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 June 2026, with employment types broken down into 68% Full Time, 17% Part Time, 4% Temporary, 10% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $58,051 per year, or $27.9 per hour.
Evergreen Rising Stars in Scientific Computing

Evergreen Rising Stars in Scientific Computing

Flexcompute

Watertown, MA • On-site

Full-time

Posted 19 days ago

Job description

Job Summary:
Flexcompute is a cutting-edge technology startup specializing in ultra-fast simulation technology. They are seeking ten exceptional recent graduates in Engineering, Physics, Mathematics, or Computer Science to join their 'Rising Stars in Scientific Computing' program, where recruits will develop algorithms and software for physics simulation and infrastructure computing while being mentored by senior technical staff.
Responsibilities:
• Develop algorithms and software for physics simulation in electromagnetics, photonics, fluid dynamics, thermal and structural analysis.
• Develop algorithms and software to deliver exceptional computing experiences, including optimizing efficiency of GPU computing systems, management and visualization of high-volume large-scale scientific data, geometry handling and computing, AI for scientific computing, and next-generation workflow optimization.
Qualifications:
Required:
• Recent graduate or graduating students in Engineering, Physics, Math, or Computer Science.
• Exceptional programming skills in C++. (The lack of C++ skills can be offset by a proven record of extensive contribution to open source projects in other programming languages.)
Preferred:
• Strong background in Electromagnetics, Photonics, Computational Geometry, Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields.
• Familiarity with numerical methods for solving large scale partial differential equations.
• Master degree or PhD in an applicable technical field with 0-3 years of industry experience.
• Familiarity with version control systems such as git and the Linux command line.
• Familiarity with MPI, OpenMP, CUDA.
Company:
FlexCompute is an IT company that specializes in providing solutions related to simulation. Founded in 2016, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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