Senior Engineer - Computer Vision Edge Intelligence & Embedded Systems

About This Role

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 design—ranging from model selection and optimization to MLOps integration and real-time inference deployment—while 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.