Member of technical staff (Inference)

H Company; Paris; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

A leading AI startup in Paris is seeking a skilled individual to develop scalable inference pipelines and optimize model performance. This role requires proficiency in Python or C/C++, experience in GPU programming, and a collaborative mindset. Enjoy a competitive salary while working with a dynamic team in a hybrid environment, contributing to the future of AI.

Prestations

Competitive salary

Opportunities for professional growth

Collaborative, multicultural team environment

Qualifications

• Experience in model compression and quantization techniques.
• Eager to explore new challenges.
• Experience with deep learning inference framework.

Responsabilités

• Develop scalable, low-latency and cost effective inference pipelines.
• Optimize model performance using advanced techniques.
• Collaborate with research teams on model architectures.

Connaissances

Proficient in Python, Rust or C/C++

Experience in GPU programming

Collaborative mindset

Strong communication skills

Formation

MS or PhD in Computer Science, Machine Learning or related fields

Outils

CUDA

Open AI Triton

TensorRT-LLM

Description du poste

About H:

H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

About the Team:

The Inference team develops and enhances the inference stack for serving H-models that power our agent technology. The team focuses on optimizing hardware utilization to reach high throughput, low latency and cost efficiency in order to deliver a seamless user experience.

Key Responsibilities:

• Develop scalable, low-latency and cost effective inference pipelines
• Optimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanisms
• Develop specialized GPU kernels for performance-critical tasks like attention mechanisms, matrix multiplications, etc.
• Collaborate with H research teams on model architectures to enhance efficiency during inference
• Review state-of-the-art papers to improve memory usage, throughput and latency (Flash attention, Paged Attention, Continuous batching, etc.)
• Prioritize and implement state-of-the-art inference techniques

Requirements:

• Technical skills:
  • MS or PhD in Computer Science, Machine Learning or related fields
  • Proficient in at least one of the following programming languages: Python, Rust or C/C++
  • Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.
  • Experience in model compression and quantization techniques
• Soft skills:
  • Collaborative mindset, thriving in dynamic, multidisciplinary teams
  • Strong communication and presentation skills
  • Eager to explore new challenges
• Bonuses:
  • Experience with LLM serving frameworks such as vLLM, TensorRT-LLM, SGLang, llama.cpp, etc.
  • Experience with CUDA kernel programming and NCCL
  • Experience in deep learning inference framework (Pytorch/execuTorch, ONNX Runtime, GGML, etc.)

Location:

• Paris or London.
• This role is hybrid, and you are expected to be in the office 3 days a week on average.
• The final decision for this will lie with the hiring manager for each individual role

What We Offer:

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
• Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
• Enjoy a competitive salary
• Unlock opportunities for professional growth, continuous learning, and career development

If you want to change the status quo in AI, join us.