Compiler Engineer (PyTorch / Triton / LLVM / MLIR)

About Majestic Labs

We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.

Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position

We are looking for an experienced, highly skilled and motivated Senior Compiler Engineer to join our compiler team. In this role, you will be responsible for designing, developing, and maintaining critical components of our AI-driven compilation stack. You will work on PyTorch, Triton, LLVM, and MLIR to build robust, scalable, and high-performance solutions for diverse

hardware backends. This is a hands-on technical position where you will solve complex problems, optimize for performance, and contribute to the next generation of our technology.

Responsibilities

• Design, Implement, and Optimize Compiler Components: Architect and develop critical compiler modules to efficiently translate and optimize AI models for deployment across a variety of hardware platforms, including CPUs, GPUs, and emerging custom accelerators
• Enhance and unify PyTorch Inductor, Triton, LLVM, and MLIR toolchains to support cutting-edge architectures, facilitate seamless interoperability, and enable rapid experimentation with new compiler features
• Create and maintain custom IRs, code generation passes, and optimization strategies tailored for AI workloads, focusing on both general and domain-specific improvements
• Profile and tune computational kernels—such as linear algebra operations, matrix multiplications, and elementwise computations—to achieve optimal performance, scalability, and resource efficiency on diverse hardware
• Open-Source Engagement: Actively contribute to the LLVM, MLIR, Triton, and PyTorch open-source projects, sharing improvements, collaborating with the developer community, and driving the evolution of the AI compiler ecosystem

Requirements

• Bachelor’s or Master’s in Computer Science, Computer Engineering, or a related field from a recognized university
• 7+ years experience in compiler engineering or closely related fields
• Deep knowledge of LLVM and MLIR internals, including IR transformations, code generation, and backend optimization techniques
• Experience with PyTorch (Inductor/Dynamo) and Triton, including their compiler subsystems
• Proven experience and expertise in C/C++ programming
• Demonstrated expertise in performance optimization, including vectorization, parallelization, and hardware-specific tuning
• Advanced debugging, analytical, and system-level thinking skills
• Excellent communication skills with a strong track record of cross-functional collaboration

Preferred Qualifications

• Strong understanding of AI models — both training and inference pipelines
• Experience developing compiler support for custom hardware accelerators, including ASICs, FPGAs, or novel AI chips
• Active contributions to open-source compiler frameworks, demonstrating leadership and community involvement
• Familiarity with distributed training strategies, graph compilers, and advanced memory models

We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.

Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!