Senior Embedded Video Analytics Engineer
About this role
Senior Embedded Video Analytics Engineer
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
Read the full description on TalentApply
Create a free account to see the complete job description, how well your CV matches this role, and apply in one click.
AI rewrites and formats your CV so it reads well and gets past screeners.
Get your match percentage for this exact role before you spend time applying.
Send a polished application in one click — no retyping the same details.
Follow every application in one place instead of digging through your inbox.
Free account · No card required
Your next opportunity starts here
Prepare, apply, track, interview and get hired — all from one platform, with AI in your corner.