Genesis AI

Member of Technical Staff, Inference

Genesis AI

full-time

Posted on:

Location Type: Hybrid

Location: Paris • France

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Job Level

Lead

Tech Stack

Distributed SystemsGoPythonRust

About the role

  • Build low-latency inference pipelines for on-device deployment, enabling real-time next-token and diffusion-based control loops in robotics
  • Design and optimize distributed inference systems on GPU clusters, pushing throughput with large-batch serving and efficient resource utilization
  • Implement efficient low-level code (CUDA, Triton, custom kernels) and integrate it seamlessly into high-level frameworks
  • Optimize workloads for both throughput (batching, scheduling, quantization) and latency (caching, memory management, graph compilation)
  • Develop monitoring and debugging tools to guarantee reliability, determinism, and rapid diagnosis of regressions across both stacks

Requirements

  • Deep experience in distributed systems, ML infrastructure, or high-performance serving (8+ years)
  • Production-grade expertise in Python, with strong background in systems languages (C++/Rust/Go)
  • Low-level performance mastery: CUDA, Triton, kernel optimization, quantization, memory and compute scheduling
  • Proven track record scaling inference workloads in both throughput-oriented cluster environments and latency-critical on-device deployments
  • System-level mindset with a history of tuning hardware–software interactions for maximum efficiency, throughput, and responsiveness
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonC++RustGoCUDATritonkernel optimizationquantizationmemory schedulingcompute scheduling
Soft Skills
system-level mindsettuning hardware-software interactionsreliabilitydeterminismrapid diagnosis