Job Description
📋 Description Build and scale DL/AI infrastructure across autonomy, embedded, and cloud teams. Develop high-performance DL inference for CV workloads across hardware. Profile CV and Vision Language Models to optimize performance and power efficiency. Design end-to-end MLOps workflows for deployment, monitoring, and retraining. Leverage ML tooling to boost performance with training/runtime frameworks. Implement GPU kernels for custom architectures and optimized inference. 🎯 Requirements Hands-on MLOps, ML inference acceleration, and edge deployment. Strong DL fundamentals and state-of-the-art models/architectures. CV, image and video processing fundamentals. ML pipelines for vision or vision-language tasks (data prep, training, deployment, monitoring). Experience with ML frameworks and libraries. Security/compliance in ML infrastructure and governance. 🎁 Benefits Equity in stock options. Comprehensive benefits package including health insurance. Paid vacation, sick leave, and holidays. 401K savings plan. Relocation assistance may be provided. Hybrid/flexible work options.
