🛠 Tech Stack

💼 About This Role

You'll develop and scale large-scale ML training systems for multimodal robotics data, enabling high-performance autonomy models. You'll optimize distributed training pipelines and GPU utilization, collaborating with ML researchers to accelerate model iteration. This role offers the chance to shape the future of autonomous sidewalk delivery at a fast-growing robotics company.

🎯 What You'll Do

• Design training systems for petabyte-scale multimodal data.
• Identify and resolve training pipeline bottlenecks.
• Develop and refine neural network architectures for autonomy.
• Monitor and maintain distributed training jobs across GPUs.

📋 Requirements

• Master's or PhD in CS, Robotics, EE, or related field.
• 5+ years developing and deploying ML models in production.
• Experience training models across multiple GPUs or nodes.
• Proficiency in Python for ML pipelines and workflows.

✨ Nice to Have

• Experience with training bottlenecks in compute, memory, or data throughput.
• Experience with robotics or autonomous driving multimodal sensor data.
• Peer-reviewed publications in ML or robotics.

🎁 Benefits & Perks

• 💰 Competitive salary with equity.
• 🏖️ Flexible remote work options.
• 🚀 Autonomy to shape ML infrastructure.