Role
Port and optimize a containerized video analytics pipeline to run on CPU-constrained router hardware (Cradlepoint OS, Wi-Fi 7 PrplOS, FWA routers). You'll own the full stack: model optimization, container architecture, and on-device inference performance.
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What You'll Do
- Port GPU-based video analytics models (object detection, classification) to CPU-only router targets
- Optimize inference pipeline to stay under 100MB memory footprint using SLMs
- Build containerized architecture with dynamic cloud-driven model loading
- Tune accuracy/performance tradeoffs on ARM/MIPS router hardware
- Integrate with Cradlepoint OS and PrplOS environments
- Benchmark and iterate on detection accuracy vs. latency on constrained hardware
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Required
- 4+ years in embedded systems or edge ML deployment
- Experience with containerization (Docker, LXC) on constrained devices
- ML model optimization: quantization, pruning, ONNX, TensorFlow Lite, OpenVINO
- Video analytics / computer vision (YOLO variants, object detection pipelines)
- Python + C/C++ on Linux embedded targets
- Cross-compilation, profiling, and memory optimization
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Strong Plus
- Cradlepoint NetCloud / PrplOS / OpenWRT experience
- NPU/DSP acceleration on router-class SoCs
- DeepStream or similar inference pipeline experience (GPU→CPU migration)
- SLM deployment (sub-1B parameter models on edge)
- RTSP/video streaming on embedded Linux
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You Are
- Comfortable with no GPU — CPU-only inference is the constraint, not a fallback
- Pragmatic about accuracy tradeoffs at the edge
- Experienced navigating vendor OS lock-in and limited debugging toolchains
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.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
- Applications will be accepted until Sep 30, 2026
- LI#- #LI-SC6
Compensation & Benefits
$95,000– $118,000 per year + Cost of Living Allowance
Bonus + Comprehensive Benefits
Additional Information
- Onsite role
- ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.
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
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。
