Mindbeam
This role involves designing and optimizing large-scale pre-training systems for generative AI models at Mindbeam. Candidates will build scalable pipelines, implement distributed training strategies across GPU/TPU clusters, and develop monitoring systems to ensure reliable performance. The position requires close collaboration with researchers to translate experimental setups into production-ready workflows.
Mindbeam is an AI infrastructure company that develops Litespark, a high-performance LLM framework that accelerates training and inference workloads while improving GPU efficiency and reducing energy consumption. Litespark integrates seamlessly with PyTorch and NVIDIA hardware as a zero-code drop-in, enabling up to 6x faster LLM pre-training and up to 83% lower energy use. The company also offers Litespark-Inference, a CPU-optimized inference engine that enables high-throughput LLM execution without requiring GPUs.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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