*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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コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
