Genesis AI

2 months ago

ML Compiler and Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Lead the evolution of a high-performance robotics simulation platform by designing compute infrastructure and data-flow mechanisms for physics simulation and foundation model training. Develop a compiler stack centered on JIT compilation, LLVM IR, and GPU codegen to reduce compile times while improving runtime performance. Collaborate with simulation and robotics engineers on differentiable programming support, stay current with ML compiler research, and contribute to relevant open-source projects.

Location: Paris, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Lead the evolution of a high-performance robotics simulation platform.
•Design compute infrastructure and data-flow mechanisms to optimize performance for physics simulation and foundation model training.
•Develop the compiler stack focusing on JIT compilation, LLVM IR, and GPU codegen to minimize compile time and maximize runtime performance.
•Collaborate with the team to improve compiler support for differentiable programming for training neural networks within simulations.
•Stay current on ML compiler techniques and partner with simulation and robotics engineers to align compiler enhancements with application needs.

Key Requirements

•Strong background in compiler construction, especially JIT compilation and LLVM-based code generation.
•Extensive experience with GPU programming models such as CUDA and Vulkan, with knowledge of GPU architecture.
•Track record contributing to GPU programming infrastructure (e.g., Torch, JAX, Mojo, Taichi, or Warp).
•Proven ability to profile and optimize complex systems for performance and scalability.
•Understanding of automatic differentiation and its use in simulation and machine learning contexts.

Experience:RoboticsMachine learningOpen source

Skills:CommunicationCollaborationProblem-solving

Tech Stack:LLVM IRLLVMJIT compilationGPU codegenCUDAVulkanTorchTritonJAXMojoTaichiWarp

Company Brief

Genesis AI

Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2024

Website LinkedIn

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Genesis AI

2 months ago

ML Compiler and Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Paris, London

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Lead the evolution of a high-performance robotics simulation platform.
•Design compute infrastructure and data-flow mechanisms to optimize performance for physics simulation and foundation model training.
•Develop the compiler stack focusing on JIT compilation, LLVM IR, and GPU codegen to minimize compile time and maximize runtime performance.
•Collaborate with the team to improve compiler support for differentiable programming for training neural networks within simulations.
•Stay current on ML compiler techniques and partner with simulation and robotics engineers to align compiler enhancements with application needs.

Key Requirements

•Strong background in compiler construction, especially JIT compilation and LLVM-based code generation.
•Extensive experience with GPU programming models such as CUDA and Vulkan, with knowledge of GPU architecture.
•Track record contributing to GPU programming infrastructure (e.g., Torch, JAX, Mojo, Taichi, or Warp).
•Proven ability to profile and optimize complex systems for performance and scalability.
•Understanding of automatic differentiation and its use in simulation and machine learning contexts.

Experience:RoboticsMachine learningOpen source

Skills:CommunicationCollaborationProblem-solving

Tech Stack:LLVM IRLLVMJIT compilationGPU codegenCUDAVulkanTorchTritonJAXMojoTaichiWarp

Company Brief

Genesis AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2024

Website LinkedIn