Senior Software Engineer

Embedded Machine Learning Engineer Location : Irving, TX - Onsite 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 me

Embedded Machine Learning Engineer Location : Irving, TX 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 footp

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 em

Hello, Hiring!! C2C role|| Job Title: AI Inference Engineer / Inference SMEJob Location: Plano/Dallas, TX or Bedminster, NJInterview: Final, in-person client interview at any of the locations given Must have skills: vLLM, model inference/serving, transformer architecture, GPU workloads, Python. AI/model-serving SME.Job Nice to Haves: NVIDIA Triton Inference Server, NVIDIA NIMs, GPU-based inference, Model deployment/hosting, Kubernetes, Python/software development, GPU/inference monitoring Abou