Research Engineer – AI Systems

🕒 June 29

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 61%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Yotta Labs

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • Cloud Computing • SaaS

Yotta Labs is building the DeOS for AI optimization and orchestration at planet scale. The company provides a high-performance framework to aggregate geo-distributed GPUs, delivering high throughput for heterogeneous compute resources. Yotta Labs focuses on affordability and accessibility for AI training and inference across a spectrum of GPUs, including commodity to high-end options. Their platform supports large language models (LLMs) and enables users to fine-tune AI applications seamlessly, deploying secure AI agents in the cloud with optimized API endpoints.

📋 Description

• 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.

🎯 Requirements

• Proficiency in AI programming languages such as Python and C++ • Deep understanding of GPU architecture and performance optimization • Experience with CUDA, Triton, ROCm/HIP, or AWS Neuron • Strong understanding of AI frameworks (e.g., PyTorch, Dynamo, LMCache), model architectures and profiling tools (e.g. Nsight, ROCm Profiler, or Neuron Profiler) • Strong problem-solving skills and the ability to work in a collaborative, remote environment • A background in computer science, engineering, or a related field is preferred

🏖️ Benefits

• Competitive compensation with equity • Flexible, remote work environment that values innovation and autonomy