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:
- 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
- Collaborative mindset, thriving in dynamic, multidisciplinary teams
- Strong communication and presentation skills
- Eager to explore new challenges
- 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:
- 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.