Senior Principal Machine Learning Engineer
Core
Designing, developing, and optimizing Large Language Models (LLMs) to run efficiently on SambaNova's specialized RDU hardware architecture.
Role type
Senior Principal Machine Learning Engineer (LLM & Hardware Co-design)
Builds
SambaStack and SambaCloud production systems
Domain
Generative AI / Large Language Models / Custom Hardware Accelerators
Deliverable
production ML models
Required skills
LLM training and fine-tuning, inference optimization, hardware-software co-design, ML algorithms and deep learning architectures, technical leadership, cross-functional alignment, high-complexity project delivery
Preferred skills
M.S. or Ph.D. in CS/EE, experience with non-GPU accelerators, publications or open-source contributions in LLMs, speculative decoding, mixture-of-experts, long-context modeling, reinforcement learning for post-training, compiler or kernel-level optimization
Technologies
RDU accelerators, SambaStack, SambaCloud, open-source LLMs
Responsibilities
Define technical strategy for ML model development and inference systems; Lead hardware-software co-design with compiler and systems teams; Identify and adapt state-of-the-art ML techniques for reconfigurable dataflow architectures; Serve as senior technical voice in design reviews and cross-functional planning; Mentor principal and senior ML engineers; Partner with leadership to translate ML capabilities into scalable customer solutions; Resolve complex, ambiguous technical challenges spanning organizational boundaries
Seniority
Principal, hands-on IC with strategic influence and mentorship
