Senior Engineer - Computer Vision Edge Intelligence & Embedded Systems

Senior Engineer Computer Vision Edge Intelligence & Embedded Systems

About the Role:

We are seeking a highly skilled and experienced Senior AI & Computer Vision Engineer to lead the design, development, and deployment of intelligent edge AI systems. This role is pivotal in elevating the AI team's capabilities by driving architectural excellence, ensuring adherence to best practices in AI/ML and computer vision, and enabling scalable, efficient, and robust edge deployments on low-power hardware platorms such as NVIDIA Jetson and Orin series devices.

The successful candidate will be responsible for end-to-end solution designranging from model selection and optimization to MLOps integration and real-time inference deploymentwhile maintaining strict performance, power, and latency constraints typical of edge environments.

Key Responsibilities:

Architect and implement high-performance, low-latency AI/Computer Vision systems tailored for edge deployment on NVIDIA Jetson and Orin platforms.

Lead the selection, development, and optimization of computer vision models (e.g., object detection, segmentation, tracking) for real-time inference under constrained power and compute budgets.

Design and manage MLOps pipelines for model training, validation, continuous integration, and deployment to edge devices, ensuring reproducibility, version control, and monitoring.

Conduct hardware-software co-design to balance performance, power consumption, and thermal efficiency in embedded systems.

Evaluate and recommend optimal hardware configurations, software frameworks (e.g., TensorRT, ONNX, OpenCV), and inference engines for edge deployment.

Mentor junior engineers on AI best practices, model architecture, and edge deployment strategies to elevate team capability.

Define and enforce standards for model accuracy, inference speed, memory footprint, and energy efficiency across all edge AI projects.

Collaborate with cross-functional teams (hardware, firmware, product) to integrate AI solutions into production systems with minimal latency and maximum reliability.

Required Qualifications & Experience:

Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field; Master's or PhD preferred.

Minimum 5 years of hands-on experience in AI/Computer Vision, with at least 3 years focused on edge AI and embedded systems.

Deep expertise in computer vision algorithms (e.g., YOLO, EfficientDet, SegFormer, Pose Estimation) and model optimization techniques (quantization, pruning, distillation).

Proven experience deploying AI models on NVIDIA Jetson (e.g., Jetson Nano, TX2, AGX Orin) and Orin series devices.

Strong proficiency in MLOps tools and workflows (e.g., MLflow, Kubeflow, CI/CD for AI, model registry, containerization with Docker).

Experience with inference engines (TensorRT, ONNX Runtime) and low-level optimization for power efficiency.

Familiarity with real-time systems, latency-sensitive applications, and power-aware design principles.

Demonstrated ability to lead technical design, conduct peer reviews, and guide team-wide technical standards.

Excellent communication skills and ability to translate technical concepts for stakeholders.

Mandatory Skills

Experience with edge AI frameworks (e.g., NVIDIA DeepStream, OpenVINO, TensorFlow Lite).

Knowledge of hardware acceleration (e.g., CUDA, Tegra, NPU) and thermal management strategies.

Experience in autonomous systems, robotics, or smart vision systems in industrial or consumer applications.