Autonomy Engineer - Deep Learning Infrastructure

📋 Description

• Develop high-performance DL inference solutions for CV workloads with high throughput and low latency.
• Profile CV and Vision-Language Models to optimize performance and power efficiency.
• Design end-to-end MLOps workflows for model deployment, monitoring and retraining.
• Leverage ML frameworks and tools to improve system performance.
• Create methods to improve training efficiency.
• Implement GPU kernels for custom architectures and optimized inference.

🎯 Requirements

• Hands-on MLOps, ML inference optimization, and edge deployment.
• Strong DL fundamentals and state-of-the-art models/architectures.
• Strong CV, image and video processing foundations.
• Experience building ML pipelines for vision or vision-language tasks.
• Knowledge of ML security and compliance in ML infra.
• Proficient with ML frameworks and libraries; lifecycle from architecture to deployment.

🎁 Benefits

• Competitive base salary and equity in stock options.
• Comprehensive health insurance and benefits.
• 401K retirement savings plan.
• Paid vacation, sick leave, and holidays.
• Relocation assistance may be provided.