onsite

Senior Vision AI Engineer

The Senior Vision AI Engineer will act as a technical lead, driving the architecture, development, and deployment of end-to-end Computer Vision and Deep Learning solutions. This role requires hands-on involvement in building and optimizing CV pipelines, mentoring junior engineers, and deploying models on edge AI hardware.

About the role

About the Role

We are looking for a Senior Vision AI Engineer who can operate as a technical lead while remaining hands-on as an IC. You will architect, build, and deploy end-to-end Computer Vision & Deep Learning solutions and guide junior engineers while independently driving complex modules.

Key Responsibilities

Technical Leadership (IC + Lead)
- Lead vision AI modules end-to-end while remaining deeply hands-on.
- Mentor junior engineers through code reviews and technical guidance.
- Influence architectural decisions and own critical components of the CV pipeline.
Computer Vision & Deep Learning Engineering
- Design and develop end-to-end CV pipelines.
- Build and deploy models for object detection, tracking, segmentation, and classification.
- Train and evaluate DL models using PyTorch, TensorFlow, ONNX.
- Implement classical CV algorithms and video analytics.
Edge AI & Deployment
- Deploy optimized models on NVIDIA Jetson, Qualcomm QRide, GPU/DSP/NPU accelerators.
- Work with TensorRT, ONNX Runtime, quantization, pruning, and optimization.
- Develop high-performance C++ and Python modules for embedded CV applications.
System Design & Architecture
- Architect scalable CV systems using OOAD, SOLID, and design patterns.
- Design real-time pipelines with clear dataflows and memory management.
- Collaborate with hardware, firmware, backend, and product teams.
Deployment, Performance & MLOps
- Build production-ready inference pipelines and benchmarking systems.
- Work with Docker, CI/CD pipelines, and Git repositories.
- Support deployments across global client environments.

Required Skills & Experience

7–10 years of experience with 5+ years in Computer Vision/Deep Learning.
Strong coding in C++ (11/14/17) and Python.
Experience with CNNs (YOLO/ResNet/UNet), OpenCV, and classical CV.
Experience deploying on Jetson/DSP/NPU hardware.
Solid understanding of design patterns and system engineering.

About the role

About the Role

Key Responsibilities

Technical Leadership (IC + Lead)
- Lead vision AI modules end-to-end while remaining deeply hands-on.
- Mentor junior engineers through code reviews and technical guidance.
- Influence architectural decisions and own critical components of the CV pipeline.
Computer Vision & Deep Learning Engineering
- Design and develop end-to-end CV pipelines.
- Build and deploy models for object detection, tracking, segmentation, and classification.
- Train and evaluate DL models using PyTorch, TensorFlow, ONNX.
- Implement classical CV algorithms and video analytics.
Edge AI & Deployment
- Deploy optimized models on NVIDIA Jetson, Qualcomm QRide, GPU/DSP/NPU accelerators.
- Work with TensorRT, ONNX Runtime, quantization, pruning, and optimization.
- Develop high-performance C++ and Python modules for embedded CV applications.
System Design & Architecture
- Architect scalable CV systems using OOAD, SOLID, and design patterns.
- Design real-time pipelines with clear dataflows and memory management.
- Collaborate with hardware, firmware, backend, and product teams.
Deployment, Performance & MLOps
- Build production-ready inference pipelines and benchmarking systems.
- Work with Docker, CI/CD pipelines, and Git repositories.
- Support deployments across global client environments.

Required Skills & Experience

7–10 years of experience with 5+ years in Computer Vision/Deep Learning.
Strong coding in C++ (11/14/17) and Python.
Experience with CNNs (YOLO/ResNet/UNet), OpenCV, and classical CV.
Experience deploying on Jetson/DSP/NPU hardware.
Solid understanding of design patterns and system engineering.