*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
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Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
