Senior ML Infrastructure Engineer - High-Throughput Inference

SambaNova Systems

San Jose (CA)

On-site

USD 180,000 - 250,000

Full time

7 days ago
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Benefits offered by this job

Flexible PTO in US
Parental Leave
Benefits (medical, dental and vision)
Flexible Spending Accounts
401k/Pensions
Gym Access
Flexible Working Hours

Job summary

SambaNova Systems in California is seeking a Senior Software Engineer, ML Infrastructure to design, build, and operate production-grade inference infrastructure powering the SambaNova serving stack on the Reconfigurable Dataflow Unit (RDU).

You will own end-to-end systems from request scheduling to accuracy infrastructure, collaborating with ML, compiler, runtime, and product teams to ship inference features from prototype to production.

Qualifications

  • Experience designing and maintaining production services with strict latency, throughput, and availability requirements.
  • Working knowledge of modern LLM inference techniques and familiarity with open-source serving stacks such as vLLM, TensorRT-LLM, or SGLang.
  • Experience collaborating across teams to deliver complex, system-level engineering solutions.
  • 5+ years of industry experience building and operating large-scale distributed systems, ideally in ML serving.
  • B.S. in Computer Science, Electrical Engineering, or related field.
  • Strong software engineering fundamentals: algorithms, data structures, concurrency, and systems design.
  • Proficiency in Python.

Responsibilities

  • Design and operate production-grade inference infrastructure powering SambaNova’s serving stack on RDU.
  • Own end-to-end systems from request scheduling to accuracy infrastructure.
  • Collaborate with ML, compiler, runtime, and product teams to ship inference features.
  • Integrate SambaNova with vLLM and adjacent serving frameworks.
  • Contribute to technical design discussions and code reviews.

Skills

LLM inference
Python
Distributed systems
Algorithms
Data structures
Concurrency
Systems design
Cross-team collaboration

Education

B.S. in CS/EE or related field

Tools

vLLM
TensorRT-LLM
SGLang

Job description

SambaNova Systems in California is seeking a Senior Software Engineer, ML Infrastructure to design, build, and operate production-grade inference infrastructure powering the SambaNova serving stack on the Reconfigurable Dataflow Unit (RDU).

You will own end-to-end systems from request scheduling to accuracy infrastructure, collaborating with ML, compiler, runtime, and product teams to ship inference features from prototype to production.

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