Key skills
PythonPyTorchTensorflowC++CAIMachine LearningMLDeep LearningComputer VisionTensorFlow
About this role
Role Overview
- Design, develop, and optimize computer vision models for real-time applications on embedded systems
- Implement model compression techniques such as quantization, pruning, and knowledge distillation to improve performance on low-power hardware
- Deploy machine learning models on embedded platforms, including ARM, NVIDIA Jetson, Qualcomm, or custom ASICs
- Write clean, efficient, and well-documented code in Python and C++, leveraging ML frameworks like TensorFlow, PyTorch, and ONNX
- Develop and fine-tune SLAM, object detection, tracking, and feature extraction models for high efficiency
- Collaborate with cross-functional teams to integrate ML models into production systems, optimizing for latency, accuracy, and power consumption
- Benchmark and profile ML models to identify and implement optimizations for inference on embedded hardware
- Research and apply cutting-edge ML techniques to improve real-time performance in resource-constrained environments
Requirements
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field
- 5+ years of experience in machine learning, deep learning, and computer vision
- Extensive experience in designing and deploying optimized deep learning models for real-world applications
- Proficiency in TensorFlow, PyTorch, ONNX, TensorRT, and other ML frameworks
- Strong experience with model quantization, pruning, knowledge distillation, and hardware acceleration techniques
- Solid programming skills in Python and C++, with a strong understanding of software optimization
- Familiarity with embedded platforms such as NVIDIA Jetson, Raspberry Pi, ARM Cortex, Qualcomm AI accelerators, or specialized AI chips
- Experience with hardware-aware model optimization to maximize inference speed and minimize memory footprint
- Strong problem-solving skills and ability to work independently on complex technical challenges
Tech Stack
- Python
- PyTorch
- Tensorflow
Benefits
- Top-tier health, dental, vision, short-/long-term disability, and life insurance, with full employee coverage and partial coverage for dependents
- Flexible/reasonable vacation and sick leave
- 401(k) plans, FSA, HSA, and commuter benefits