Training / AI Infrastructure
About the job
- Deep experience in distributed systems, machine learning infrastructure, or high-performance computing, with 8+ years of experience.
- Production-grade expertise in Python.
- Low-level performance mastery of CUDA, cuDNN, Triton, CPU–GPU interactions, data movement, and kernel optimization.
- Experience with PyTorch and training jobs using data, context, pipeline, and model parallelism.
- A system-level mindset with a track record of tuning hardware–software interactions for maximum utilization.
- Drive down wall-clock time to convergence by profiling and eliminating bottlenecks across the foundation model training stack, from data pipelines to GPU kernels.
- Design, build, and optimize distributed training systems using PyTorch for multi-node GPU clusters, ensuring scalability, robustness, and high utilization.
- Implement efficient low-level code using CUDA, cuDNN, Triton, and custom kernels, and integrate it into high-level training frameworks.
- Optimize workloads for hardware efficiency, including CPU/GPU compute balance, memory management, data throughput, and networking.
- Develop monitoring and debugging tools for large-scale runs to enable rapid diagnosis of performance regressions and failures.
About the company
Genesis AI provides a unified platform that combines robotics simulation, high-fidelity rendering, physics, and foundation models to support advanced robotics and AI development. It offers platform-as-a-service and licensing options for simulating complex scenarios, training robotic systems, and building generative models in realistic virtual environments. Users access an integrated environment where physics, geometry, rendering, and AI model development run in sync, enabling large-scale simulations and reinforcement learning. By merging core capabilities and drawing on experience from Havok, Unity, Autodesk, Google, and Epic Games, Genesis aims to reduce fragmentation and accelerate innovation in robotics and AI.
Company Size
51-200
Company Stage
Seed
Total Funding
$105M
Headquarters
Paris, France
Founded
2024
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Simplify's Take
What believers are saying
- LG CNS announced a June 16, 2026 rollout plan across enterprise customers.
- Reuters reported advanced customer talks in France, Germany, and Italy on May 6, 2026.
- Genesis raised $105 million seed financing from Eclipse, Khosla, Bpifrance, and Schmidt.
What critics are saying
- Genesis depends on Wuji Tech hardware co-design, exposing supply-chain and IP leverage.
- Figure, Tesla Optimus, and Samsung SDS Team REX compress Genesis's industrial window.
- Advanced talks in France, Germany, and Italy still lack named, contracted customers.
What makes Genesis AI unique
- Genesis AI bundles GENE-26.5, Genesis Hand 1.0, and simulator into one stack.
- Its 1:1 human-scale hand transfers worker demonstrations directly into robot control.
- LG CNS partnership validates cross-platform robotics across manufacturing and logistics deployments.
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Benefits
- Wellness Program
- Mental Health Support
- Flexible Work Hours
- Hybrid Work Options
- Remote Work Options
- Health Insurance
- 401(k) Retirement Plan
- Stock Options
- Company Equity
- Conference Attendance Budget
- Professional Development Budget
- Tuition Reimbursement