Senior Solutions Architect

Job Summary

Engaging with researchers and ML engineers, the full-time Senior Solutions Architect will architect and optimize end-to-end training workflows for robotics foundation models, build proof-of-concepts, and scale workloads across multi-GPU systems, with options for remote work.

Key responsibilities

• Architect and optimize training workflows for robotics foundation models in collaboration with researchers and engineers
• Build proof-of-concepts and reference architectures to enhance experimentation and model improvement
• Scale pre-training and reinforcement learning workloads, addressing data pipeline bottlenecks for multimodal datasets

Required qualifications

• MS, PhD, or equivalent experience in Computer Science, AI, Electrical or Computer Engineering, Robotics, or a related field
• 5+ years of industry or research experience in deep learning and large-scale model training
• Hands-on experience with multimodal or foundation models, ideally in robotics
• Strong expertise in distributed training techniques on multi-GPU or multi-node systems
• Experience with multimodal training frameworks such as PyTorch, NVIDIA NeMo, or JAX