Senior Principal Model Bring-up Engineer
SambaNova · Austin, Texas, United States; San Jose, California, United States · Austin, TX · San Jose, CA
Infrastructureonsiteprincipal$208k–$312k
At a glance
Highlights
- Bring frontier open-weight LLMs from Hugging Face to production serving.
- Own a model family from first compile to served and merged.
- Build shared inference features so each new model costs less.
What they offer
- Equity as part of total rewards package
- 95% employee and 77% dependent medical coverage plus HSA contribution
- Dental, vision, disability, life and AD&D insurance plus FSAs
- Well-being benefits including Headspace, Gympass+, One Medical and EAP
Ideal candidate
A rigorous ML systems builder who loves debugging where model, compiler and hardware meet and turning one-off fixes into shared modules that make the next bring-up cheaper.
Requirements
- B.S. in Computer Science, Electrical Engineering, or related field
- 8+ years of industry experience in ML systems, inference, or compiler engineering
- Strong Python and PyTorch internals experience, plus some C++
- Deep transformer-inference knowledge including KV caching, GQA, MoE routing and batching
- Hands-on experience with accelerator bring-up, ML compilers or inference engines
- Rigor in numerical debugging
- Comfort with Bazel, Slurm, and large monorepos
- Clear writing and evidence-backed claims
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
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