Skip to content
← SambaNova

Senior Principal Model Bring-up Engineer

SambaNova · Austin, Texas, United States; San Jose, California, United States · Austin, TX · San Jose, CA

Infrastructureonsiteprincipal$208k–$312k
Apply on the lab’s site ↗

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
More about SambaNova →
Apply on the lab’s site ↗

Posted · Last seen