Cognizant

Senior Embedded Video Analytics Engineer-Hybrid

Cognizant$95K — $118K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in embedded systems or edge ML deployment
  • Experience with containerization on constrained devices (Docker, LXC)
  • ML model optimization skills including quantization and pruning
  • Proficiency in video analytics/computer vision (YOLO variants)
  • Strong programming skills in Python and C/C++ for embedded targets
  • Knowledge in cross-compilation and memory optimization

Responsibilities

  • Port GPU-based video analytics models to CPU-only router targets
  • Optimize inference pipeline for under 100MB memory footprint
  • Build dynamic, containerized architecture for model loading
  • Tune performance and accuracy on ARM/MIPS router hardware
  • Integrate solutions with Cradlepoint OS and PrplOS
  • Benchmark detection accuracy against latency on constrained hardware

Benefits

  • Medical, Dental, Vision, and Life Insurance
  • Paid holidays and Paid Time Off
  • 401(k) plan with contributions
  • Long-term and Short-term Disability coverage
  • Paid Parental Leave
  • Employee Stock Purchase Plan
Full Job Description
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
  • Onsite role

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

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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