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.
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
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
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
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
- 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
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
Additional employment informationCompensation 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.
