Inference Engineer

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.