- Design and build efficient compute environments for AI/ML workloads on the intersection of distributed systems/blockchain technologies.
- Build and extend AI compute engines to achieve cutting edge performance for specific workload footprints.
- Evaluate models and workloads on different hardware and software stacks.
- Collaborate with cross-functional teams to design, implement, and optimize the AI engines.
- BSc, MSc or Ph.D. specializing in distributed systems and AI.
- Excellence in Python, Rust, and/or Go programming languages.
- Expertise in building and leveraging large-scale AI systems for training and inference such as Hugging Face, vLLM, CUDA.
- In-depth understanding of performance and system bottlenecks in AI applications.
- Knowledge of the performance characteristics of AI workloads and optimization strategies.
- Autonomous, distributed environment with the opportunity to work collaboratively in a diverse team across the world.
- The scope to contribute to high impact work and really make a difference in a decentralized protocol.
- The chance to challenge yourself whilst learning heaps of stuff in the process.
- Unlimited time off throughout the year to rest and recharge.
- Competitive compensation with stock options, experiencing growth from the initial phase.
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