Senior Edge ML Engineer - CPU-Only Video Analytics (C++)

ReqRoute,Inc

Irving (TX)

On-site

USD 120,000 - 190,000

Full time

14 days+
Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

ReqRoute,Inc. is seeking a Senior Software Engineer to port and optimize a containerized video analytics pipeline for CPU-only router hardware.

You will own the full stack—from model optimization to on-device inference performance—and integrate with Cradlepoint OS and PrplOS environments. The role emphasizes deploying quantization/pruning, managing memory to under 100MB, and achieving favorable accuracy-latency balances on ARM/MIPS platforms.

Qualifications

  • 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).

Responsibilities

  • Port GPU-based video analytics models 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.

Skills

C++
Python
Linux Embedded
Edge ML deployment

Tools

Docker
LXC
ONNX
TensorFlow Lite
OpenVINO

Job description

ReqRoute,Inc. is seeking a Senior Software Engineer to port and optimize a containerized video analytics pipeline for CPU-only router hardware.

You will own the full stack—from model optimization to on-device inference performance—and integrate with Cradlepoint OS and PrplOS environments. The role emphasizes deploying quantization/pruning, managing memory to under 100MB, and achieving favorable accuracy-latency balances on ARM/MIPS platforms.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Edge ML Engineer: CPU-Only Video Analytics on Routers
Edge ML Engineer: CPU-Only Video Analytics on Routers

New York Technology Partners • Irving (TX)

On-site
USD 120,000 - 180,000
Edge Video Analytics Engineer — CPU‑Only, Onsite
Edge Video Analytics Engineer — CPU‑Only, Onsite

Cognizant • Irving (TX)

On-site
USD 95,000 - 118,000
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
+3
Embedded Linux + C/C++ + Python
Embedded Linux + C/C++ + Python

New York Technology Partners • Irving (TX)

On-site
USD 120,000 - 180,000
W2 ONLY - Need Senior Software Engineer C++ / Irving, TX
W2 ONLY - Need Senior Software Engineer C++ / Irving, TX

ReqRoute,Inc • Irving (TX)

On-site
USD 120,000 - 190,000
Senior Embedded C++ CV Engineer — Edge AI & Video Analytics
Senior Embedded C++ CV Engineer — Edge AI & Video Analytics

Cognizant • Irving (TX)

On-site
USD 90,000 - 125,000
Health benefits
Paid time off
401(k) plan
+3
Senior Embedded Video Analytics Engineer-Onsite
Senior Embedded Video Analytics Engineer-Onsite

Cognizant • Irving (TX)

On-site
USD 95,000 - 118,000
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
+3
Senior Remote Edge ML Engineer
Senior Remote Edge ML Engineer

Bright Vision Technologies • Chapel Hill (NC)

On-site
USD 100,000 - 150,000
Senior Edge Video Systems Engineer
Senior Edge Video Systems Engineer

Spot AI • San Francisco (CA)

Remote
USD 195,000 - 220,000
Meaningful early-stage equity
Medical, dental and vision plan options
Company paid disability and life insurance
+1
Senior Edge AI Hardware Architect & RTL Lead
Senior Edge AI Hardware Architect & RTL Lead

QUADRIC PTY LTD • Burlingame (CA)

On-site
USD 150,000 - 220,000
Medical, dental, and vision insurance
Company-paid life Insurance
Par parental leave
+3
Senior ML Apps Engineer - Edge AI on-device
Senior ML Apps Engineer - Edge AI on-device

Qualcomm • San Diego (CA)

On-site
USD 140,800 - 211,200