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Edge Computing Jobs in Connecticut (NOW HIRING)

CoServe Global Solutions

Solutions Architect

Hartford, CT

$63.50 - $83.75/hr

Dive into the cutting edge of Enterprise Architecture, identify the latest trends, technology and ... computing environments creating and implementing architecture solution designs Ability to use and ...

Yuma Holdings LLC

Legal Counsel

Stamford, CT · On-site

... advanced computing and intelligence. Together we are cultivating a space where innovation thrives, ideas are rewarded, and cutting-edge technology becomes accessible to everyone. As a proud ...

Deloitte

Lead Data Mgt Engineer - CCM/OpenText

Stamford, CT · On-site

$109K - $143K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or ...

TEKWISSEN LLC

Computer Hardware Technician

Groton, CT

$17 - $22.50/hr

... with leading-edge security to clients in government, financial services and commercial markets ... computing. Position: Computer Hardware Technician Location: Groton/New London, CT, 06340 Duration ...

Sonoma Consulting Inc.

IIB Developer

Hartford, CT · On-site

... edge digital innovation for our customers. We delight in helping our customers execute their ... cloud computing, and data analytics. Since its inception, Halo Group has been recognized for ...

TEKWISSEN LLC

Computer Hardware Technician

Groton, CT · On-site

$17 - $22.50/hr

... with leading-edge security to clients in government, financial services and commercial markets ... computing. Position: Computer Hardware Technician Location: Groton/New London, CT, 06340 Duration ...

CoServe Global Solutions

Solutions Architect

Hartford, CT · On-site

$63.50 - $83.75/hr

Dive into the cutting edge of Enterprise Architecture, identify the latest trends, technology and ... computing environments creating and implementing architecture solution designs • Ability to use ...

Gartner

Sr. Data Scientist

Stamford, CT · On-site

You'll architect and implement cutting-edge conversational AI tools-including intelligent search ... Experience with cloud computing services such as AWS or Azure ML * Strong ability to work ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

You'll architect and implement cutting-edge agentic AI solutions while ensuring seamless ... Experience with cloud computing services such as AWS or Azure ML * Strong ability to work ...

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Edge Computing information

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How much do edge computing jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for edge computing in Connecticut is $24.31, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $28.61 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Edge computing jobs such as network engineers, cybersecurity specialists, and systems architects are likely to persist as they require complex problem-solving, infrastructure management, and security expertise that are difficult for AI to fully automate. These roles involve designing, maintaining, and securing distributed systems, often requiring certifications and hands-on experience. Skills in cloud platforms, programming, and real-time data analysis will remain valuable in this field.

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 requirements grow, job opportunities in this area are expected to increase steadily in the coming years.

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 is the highest paying computing job?

In the field of edge computing, senior roles such as solutions architect, cloud engineer, or systems architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in distributed systems, networking, and cloud platforms, along with relevant certifications like AWS or Cisco. Salary levels depend on experience, location, and company size.

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 Connecticut? For Edge Computing jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Edge Computing jobs in Connecticut look for? The top searched job categories for Edge Computing jobs in Connecticut are:
Edge Computing jobs near you
Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Posted 16 hours ago

Job description

Our client is a global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. The company is looking for a Computational Image Analysis Scientist - 2D/3D Biomedical Imaging to join the team. This is an amazing opportunity to work on cutting edge treatments and make a difference!
Job Title: Computational Image Analysis Scientist - 2D/3D Biomedical Imaging
Pay rate: $39/hr.- $42/hr.
Location: Ridgefield, CT
Job type: 2-year contract
Position Summary
We are seeking a Computational Image Analysis Scientist to develop, optimize, and apply advanced image analysis workflows for 2D and 3D biomedical imaging data. The role focuses on quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets to support biomarker discovery, translational research, and preclinical/clinical studies.
The ideal candidate combines strong programming and machine learning expertise with hands-on experience in digital pathology and a collaborative mindset for working with multidisciplinary scientific teams.
Key Responsibilities
  • Develop, implement, and optimize image analysis pipelines for 2D and 3D biomedical imaging datasets
  • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging (mIF) data
  • Apply classical image processing and machine learning methods for:
    • Image segmentation
    • Feature extraction
    • Cell detection and classification
  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data
  • Integrate and work across digital pathology platforms including:
    • HALO AI
    • Visiopharm
    • QuPath
    • CellProfiler
  • Collaborate closely with pathologists, biologists, and data scientists to define analytical endpoints and experimental design
  • Validate image-derived biomarkers and ensure scientific and analytical rigor
  • Document workflows to ensure reproducibility and regulatory-grade traceability
  • Support interpretation, visualization, and presentation of imaging-derived data for scientific reports and publications
  • Enable cross-lab collaboration through transfer of image analysis workflows and algorithms

Required Qualifications
  • Bachelor's degree with 3+ years of experience, or Master's degree in a relevant scientific discipline (or equivalent experience)
  • Strong proficiency in Python and/or R for scientific computing and data analysis
  • Demonstrated experience in machine learning applied to image data
  • Hands-on experience with digital pathology or biomedical image analysis
  • Experience working with H&E, IHC, and multiplex immunofluorescence (mIF) datasets
  • Proven ability to perform cell segmentation, classification, and marker quantification
  • Experience using at least one digital pathology or image analysis platform (e.g., HALO, Visiopharm, QuPath, CellProfiler)
  • Strong problem-solving skills and ability to work independently in a research-driven environment

Preferred Qualifications
  • Experience in tumor immunology, histopathology, or spatial biology
  • Prior experience in biotech, pharmaceutical, or industry research environments
  • Familiarity with advanced spatial or multiplex imaging technologies

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