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Yotta Labs

Yotta Labs

Building the GPU Cloud for efficient ML with heterogeneous hardware and cross-cloud orchestration

1-10 employees
Artificial Intelligence (AI)
Private Company
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Artificial Intelligence (AI)Cloud ComputingGPUAI Infrastructure

Remote Work Available

This company offers remote work opportunities.

Open Positions5

United StatesHong KongCanadaSingaporeFull-TimeAI InfrastructurePosted
Research Engineer - AI Systems
  • Design and implement high-performance kernels for Attention, MoE, GEMM, collective communication, and quantization.
  • Optimize kernels for NVIDIA, AMD, and AWS Trainium.
  • Develop custom operators and graph optimizations using Neuron SDK, PyTorch/XLA, Torch Dynamo, and Neuron Compiler.
  • Improve performance of vLLM, SGLang, TensorRT-LLM, and custom inference runtimes.
  • Design scalable distributed training and inference solutions across thousands of accelerators.
  • Contribute to open-source projects, publish technical findings and engage with the developer community.
PythonPyTorchC++

Competitive compensation with equity.

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About Yotta Labs

Yotta Labs is building the GPU Cloud for efficient machine learning, pioneering a Decentralized Operating System (DeOS) to orchestrate AI workloads across diverse hardware at a planetary scale. You can access on-demand GPU instances and Model APIs, enabling AI companies, research labs, and enterprises to train and deploy cutting-edge models. Their platform aggregates geo-distributed GPUs, offering elastic and cost-effective access to AI compute. They unify fragmented GPU capacity into a single execution fabric, making high-performance computing accessible for AI training and inference. You can deploy GPU pods in under 3 seconds.

How We Work

You will find a flexible, remote work environment that values innovation and autonomy. Your team members are encouraged to collaborate and contribute to open-source projects. You will work within a small, focused team, directly impacting strategic decisions. This environment supports strong problem-solving skills and independent contribution.

Engineering at Yotta Labs

You will build the next-generation AI infrastructure, developing a Decentralized Operating System (DeOS) for AI workload orchestration across multi-cloud and multi-silicon environments. Engineers optimize AI workloads across a heterogeneous network of GPUs. Your work will involve cutting-edge technologies that bridge AI and decentralized computing. You will contribute to high-performance computing for AI training and inference on a wide spectrum of hardware. This means tackling challenges in distributed systems, cloud computing, and blockchain technologies.

Why Join Us

  • Be part of a visionary team redefining AI infrastructure.
  • Work on cutting-edge technologies bridging AI and decentralized computing.
  • Collaborate with experts from leading institutions and tech companies.
  • Enjoy a flexible, remote work environment valuing innovation and autonomy.
  • Directly impact the scalability and performance of AI applications.

Benefits & Perks

  • Flexible, remote work environment
  • Autonomy in your role

Tech Stack

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