Senior Principal Machine Learning Engineer
SambaNova · San Jose, California, United States · San Jose, CA
CHECKED 12H AGO
Infrastructureonsiteprincipal$220k–$300k
At a glance
Highlights
- Build and optimize LLMs for RDU accelerators powering SambaStack and SambaCloud.
- Drive hardware-software co-design shaping models and silicon together.
- Lead ML strategy for agentic workloads like multi-turn agents and code generation.
What they offer
- Equity
- 95% employee medical premium coverage and 77% dependent coverage plus HSA with employer contribution
- Dental, vision, disability, life and AD&D insurance plus FSA options
- Headspace subscription, Gympass+ membership, One Medical and Employee Assistance Program
Ideal candidate
Seasoned ML leader energized by ambiguous, high-impact challenges and hardware-software co-design, driven to bring cutting-edge LLMs to production while mentoring senior engineers.
Requirements
- B.S. in Computer Science, Electrical Engineering, or related field
- 8+ years industry experience in ML engineering with technical leadership on large-scale systems
- Deep expertise in LLM training, fine-tuning, inference optimization and evaluation at scale
- Strong background in ML algorithms, deep learning architectures and modern training methods
- Proven ability to lead cross-functional efforts, mentor senior engineers and influence direction
- Track record scoping and delivering high-complexity, high-ambiguity technical projects
Lab profile
About SambaNova
Full-stack AI infrastructure with RDU dataflow chips for fast agentic inference.
What they build
- RDU Reconfigurable Dataflow Unit
- SambaRack rack-scale hardware
- Full-stack AI inference platform
Known for
- Reconfigurable dataflow architecture alternative to GPUs
- High decode performance for agentic workloads
- Full-stack hardware-software co-design
Key facts
- Founded in 2017
- Headquartered in Palo Alto, California