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Lemurian Labs Tech Stack

Hardware-agnostic AI compiler platform for CPU, GPU, and edge deployment

Technology, Information and Internet Santa Clara, California 11–50 employees Privately Held

Lemurian Labs builds a compiler-first platform for portable AI workload execution across heterogeneous hardware. The stack (C++, CUDA, ROCm, PyTorch, JAX, Triton, vLLM, LLVM, MLIR) reveals a deep systems play—not a high-level framework, but infrastructure plumbing for inference optimization. Active hiring skews heavily toward senior and lead engineers in compiler and systems work, paired with only two product roles, signaling a technical founder-led org still scaling engineering before go-to-market motion.

Tech Stack 19 technologies

Core StackC++ PyTorch Python LangChain GitHub CUDA ROCm JAX Triton Llama 2 DeepSeek C/C++ Assembly Language JTAG ELF LLVM vLLM Git MLIR

What Lemurian Labs Is Building

◆Challenges

Sustainably scaling ai
Resource efficiency and scalability
Performance bottlenecks in llm inference
Reducing environmental footprint of ai
Cross-platform compatibility
Optimizing gpu utilization for llms
Proving compiler value
Removing limits of scale, hardware, and cost
Optimizing ai workloads
Lack of performance testing platform

▲Active Projects

Multi-target runtime development
Novel compiler architecture
Performance testing platform
Continuous performance validation pipelines
Portable compiler for cross-platform deployment
Performance dashboards
Performance bottleneck analysis tools
Next-gen ai platform
Ai workload optimization
Profiling and debugging tools for compiler stack

Hiring Activity

Accelerating15 roles · 8 in 30d

Department

Engineering

13

Product

2

Seniority

Senior

11

Mid

3

Lead

1

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About Lemurian Labs

Lemurian Labs develops a software-defined AI platform designed to isolate inference workloads from underlying hardware constraints. The core problem they're addressing: as Moore's Law slows, organizations face pressure to squeeze efficiency from diverse compute environments (data centers, edge, specialized accelerators). The platform abstracts this complexity via a portable compiler layer, enabling teams to write inference code once and deploy across CPUs, GPUs, and accelerators without recompilation. Based in Santa Clara with 11–50 employees, the company is actively hiring senior systems and compiler engineers across the US and Canada.

HeadquartersSanta Clara, California

Company Size11–50 employees

Hiring MarketsUnited States, Canada

Frequently Asked Questions

What is Lemurian Labs' tech stack?

Core stack: C++, CUDA, ROCm, LLVM, MLIR. ML frameworks: PyTorch, JAX, Triton. Models: Llama 2, DeepSeek. Runtime: vLLM, LangChain. Also uses Python, Assembly, JTAG, ELF for low-level control and debugging.

What is Lemurian Labs working on?

Multi-target compiler development, LLM inference optimization, cross-platform deployment, performance profiling tools, and AI workload optimization pipelines. Recent focus areas include compiler architecture, performance testing platforms, and GPU utilization for large language models.

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