Autonomy Engineer - Deep Learning Model Acceleration

📋 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.