Boson AI · 18 hours ago
Member of Technical Staff, Training and Inference
Boson AI is an early-stage startup building large audio models for everyone to enjoy and use. They are seeking research scientists and engineers to optimize model architectures and implement distributed optimization algorithms in their Santa Clara office.
Artificial Intelligence (AI)Information TechnologyMarket Research
Responsibilities
Optimize model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data
Implement and optimize kernels for efficient training on Hopper and Blackwell GPUs
Performance optimization (floating point formats, sparsity, systems level optimization)
Distributed optimization and training
Qualification
Required
Strong background in CUDA, Triton, PyTorch, distributed optimization and deep learning architectures
Master or Doctoral degree in computer science or equivalent
Proficiency in at least one deep learning framework, such as PyTorch or JAX
Experience in writing clean and efficient code
Participated in at least 1 research project related to distributed training or inference
Preferred
Experience in implementing your own kernels in CUDA or another compiler/toolkit (Triton, ThunderKittens, PTX, etc.)
Experience in distributed optimization (e.g. using DeepSpeed, FSDP), ideally designing performance optimizations
Experience in computer networking (e.g. Infiniband, using SHARP)
Experience in handling data at billions-scale
Company
Boson AI
Boson AI is an AI company that develops large language model tools.
H1B Sponsorship
Boson AI has a track record of offering H1B sponsorships. Please note that this does not
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2025 (4)
2024 (7)
2023 (2)
Funding
Current Stage
Early StageCompany data provided by crunchbase