Sapear Inc
Computer Vision Engineer- Edge AI (Contract W2)
Washington, District of Columbia · Contract
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Mosaic's team is seeking a Computer Vision Engineer to take vision models from development into reliable, real-time production on the edge.
- The role is hands-on and delivery-focused: performance, latency, and long-run stability on the device matter as much as model accuracy.
- Edge model optimization & deployment 40%
Responsibilities
- Package inference workloads as Docker containers on JetPack/L4T (ARM64) and manage reproducible builds and deployments to field devices.
- Partner with data scientists to make models edge-ready (input sizing, architecture trade-offs, pre/post-processing).
- Build and tune low-latency RTSP/GStreamer ingestion pipelines using hardware decode and zero-copy (NVMM) memory.
- Deliver model outputs to downstream systems (e.g., alerts, dashboards, PLC/control-system interfaces) in coordination with site automation teams.
- Validation, Profiling & Production Support (~25%)
- Document deployment procedures, configurations, and runbooks so solutions can be reused and scaled across sites.
Requirements
- Hands-on experience with NVIDIA Jetson Orin (AGX Orin, Orin NX, or Orin Nano).
- Experience optimizing and deploying models with TensorRT and ONNX.
- Proficiency in Python and PyTorch.
- Experience profiling and tuning for latency and long-running stability on constrained hardware.
- Develop DeepStream pipelines, including custom C++ parsers/plugins for non-standard model outputs where required.
Nice to have
- Strong NVIDIA DeepStream SDK experience, including custom plugins or output parsers.
- Strong CUDA and C++ development skills.
- RTSP/GStreamer video pipeline development with IP cameras.
- Experience in industrial environments (mining, chemicals, manufacturing, energy) and with OT/control-system integration (PLC, OPC UA, Modbus).
- Ability to work within enterprise change-control (MOC) and cybersecurity review processes.
- U.S mobile: +1 +1 346-770-0775
- India mobile: +91 8368478945
- Email id: bobby@sapear.com
Benefits
- Convert and optimize PyTorch vision models (detection, segmentation, classification) to ONNX and TensorRT engines for NVIDIA Jetson Orin.
- Engineer for 24/7 stability: stream reconnection, watchdogs, backpressure and frame-drop control, logging, and health monitoring.
This listing is sourced directly from Sapear Inc's careers page and normalized into a canonical job model.