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Remote Edge Computing Jobs in Chicago, IL (NOW HIRING)

Lead Infrastructure Engineer

Deerfield, IL · On-site +1

$109K - $143K/yr

Job is remote - will need to visit data centers on occasion. The Lead Infrastructure Engineer plays ... edge computing-to identify opportunities for improvement and innovation. System Implementation ...

Remote, (West Coast) Compensation : $100,000 - $125,000 Before Commissions and Bonus About this ... Working knowledge of embedded computing, industrial PCs, edge devices, or automation hardware as ...

Remote, (West Coast) Compensation : $100,000 - $125,000 Before Commissions and Bonus About this ... Working knowledge of embedded computing, industrial PCs, edge devices, or automation hardware as ...

Remote, (West Coast) Compensation : $100,000 - $125,000 Before Commissions and Bonus About this ... Working knowledge of embedded computing, industrial PCs, edge devices, or automation hardware as ...

POSITION SUMMARY This is a remote role. preferably based out of Central US major market. The Sr. ... Familiarity with AI workloads, high-performance computing (HPC), and edge AI deployments. PREFERRED ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while ...

Solutions Architect

Chicago, IL · Remote

$64.50 - $85/hr

Our proprietary, cutting-edge natural language processing capabilities transform unstructured data ... Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure ...

... edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ... This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across ...

Solutions Architect

Chicago, IL · Remote

$160K - $180K/yr

Our proprietary, cutting-edge natural language processing capabilities transform unstructured data ... Thorough understanding of cloud computing platforms (e.g., AWS GovCloud, Google Cloud, Azure ...

Remote Edge Computing information

See Chicago, IL salary details

$15

$28

$38

How much do remote edge computing jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote edge computing in Chicago, IL is $28.51, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $34.18 per hour, depending on experience, location, and employer.

What is the difference between Remote Edge Computing vs Remote Cloud Engineer?

AspectRemote Edge ComputingRemote Cloud Engineer
Required CredentialsNetworking, IoT, hardware knowledge, certifications in edge computing or networkingCloud platforms, scripting, certifications like AWS, Azure, GCP
Work EnvironmentDistributed hardware, local data processing sites, on-site or remote hardware managementData centers, cloud platforms, virtual environments
Employer & Industry UsageTech companies, IoT providers, manufacturing, retailTech firms, SaaS providers, enterprise IT, startups

Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.

What are the most commonly searched types of Edge Computing jobs in Chicago, IL? The most popular types of Edge Computing jobs in Chicago, IL are:
Subject Matter Expert - Computer Vision -Remote

Subject Matter Expert - Computer Vision -Remote

Cognizant Technology Solutions

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Cognizant rating

7.5

Company rating: 7.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Role Summary
We are seeking an experienced Computer Vision Subject Matter Expert (SME) to lead the design and implementation of advanced vision solutions that enhance automation, safety, and operational efficiency across retail, warehouses, distribution centers, fulfillment centers, and manufacturing plants.
This role demands deep technical expertise in vision systems, edge computing, and cloud integration, combined with leadership and communication skills to drive enterprise-scale deployments.
Key Responsibilities
  • Solution Architecture: Define and implement scalable vision architectures for multi-site environments, ensuring reliability and performance.
  • Computer Vision Development: Build and optimize algorithms for object detection, tracking, anomaly detection, and quality assurance using frameworks like OpenCV, TensorFlow, and PyTorch.
  • Edge & Cloud Integration: Deploy vision models on resource-constrained devices and integrate with AWS, Azure, or GCP for centralized analytics and reporting.
  • Performance Optimization: Ensure low-latency inference, efficient resource utilization, and robust failover mechanisms for production systems.
  • Governance & Standards: Establish best practices for security, compliance, and data management in vision deployments.
  • Cross-Functional Collaboration: Work closely with operations, engineering, and business teams to align vision solutions with organizational goals.

Required Technical Skills
  • Computer Vision: Object detection, segmentation, tracking; OpenCV, TensorFlow, PyTorch.
  • Edge AI: NVIDIA Jetson, Intel Movidius; model optimization (TensorRT, quantization).
  • Cloud Platforms: AWS, Azure, or GCP for data processing and analytics.
  • Programming: Python, C++, containerization (Docker/Kubernetes).
  • Security & Compliance: Secure deployments, certificate management, and data privacy standards.

Soft Skills
  • Communication: Ability to convey complex technical concepts to diverse stakeholders.
  • Ownership & Accountability: Drive end-to-end delivery of vision solutions.
  • Collaboration: Partner effectively with cross-functional teams.
  • Problem-Solving: Analytical mindset for troubleshooting and optimization.
  • Leadership: Mentor teams and influence technology decisions.

Nice-to-Have
  • Experience with industrial automation and quality control systems.
  • Familiarity with large-scale deployments in retail or manufacturing environments.
  • Knowledge of regulatory compliance for video and image data.

Qualifications
  • Bachelor's/Master's in Computer Science, Electrical Engineering, or related field.
  • 10+ years in Computer Vision with 3+ years in enterprise-scale deployments.
  • Proven track record in designing and delivering production-grade vision systems.

KPIs & Success Metrics
  • Improved operational efficiency and automation across sites.
  • High system uptime and performance consistency.
  • Compliance with security and privacy standards.

Travel Requirement: This is a remote role with 30-40% travel to client sites and operational facilities.
Compensation: - $140,000 to $180,000 +/- and this position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Application will be accepted by 8/10/2026
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
#LI-CT1
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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