Senior Software Engineer - AI Infrastructure

Found RG • United State
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AI Summary

Found RG is seeking a Senior Software Engineer to build AI infrastructure for AI-driven robotics company. The role involves building distributed training pipelines, architecting cloud and on-prem GPU infrastructure, and optimizing training performance. The ideal candidate has 5+ years of experience in C++, Python, and ML frameworks.

Key Highlights
Build AI infrastructure for AI-driven robotics company
Distributed training pipelines
Cloud and on-prem GPU infrastructure
Key Responsibilities
Build and maintain distributed training pipelines
Architect cloud and on-prem GPU infrastructure
Optimise training performance end-to-end
Technical Skills Required
C++ Python PyTorch JAX Kubernetes Containerisation GPU provisioning SQL NoSQL data stores
Benefits & Perks
Competitive equity package
Full medical, dental, vision, 401(k)
Visa sponsorship and green card support
Meals provided, stocked kitchen, regular team events
Nice to Have
GPU programming and CUDA experience
Background building annotation and dataset management tools

Job Description


About the client: Found Recruitment is partnering with an AI-driven robotics company focused on automating physically demanding work in industrial settings. Their robots are built for real-world deployment at scale, and they're growing fast.


The role: They're looking for a Senior Software Engineer to build the AI infrastructure that powers their robots — from large-scale model training to production deployment. You'll work across cloud systems, GPU clusters, data pipelines, and on-robot runtime environments to create a high-performance platform.


What you'll do:

  • Build and maintain distributed training pipelines (PyTorch, JAX, or similar) across multi-GPU and multi-node clusters
  • Architect cloud and on-prem GPU infrastructure across multi-cloud environments
  • Build high-throughput data workflows for large-scale dataset ingestion, versioning, and storage
  • Optimise training performance end-to-end: CPU-GPU transfers, caching, I/O, containerised environments, and CUDA-level tuning
  • Integrate trained models into on-robot inference systems
  • Build tooling for data collection, training, and neural network deployment


What you'll need:

  • BS or MS in Computer Science or related, 5+ years experience
  • Strong C++, Python, and ML frameworks (PyTorch, JAX)
  • Deep experience with at least one major cloud provider (GCP, AWS, Azure), Kubernetes, containerisation, and GPU provisioning
  • Solid understanding of SQL and NoSQL data stores


Nice to have:

  • Experience profiling and optimising CPU-GPU interactions
  • GPU programming and CUDA experience
  • Background building annotation and dataset management tools


Benefits:

  • Competitive equity package
  • Full medical, dental, vision, 401(k)
  • Visa sponsorship and green card support
  • Meals provided, stocked kitchen, regular team events


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