Senior Staff AI/ML Inference Engineer (Kubernetes & GPU)

ServiceNow

Kirkland (WA)

Vor Ort

USD 201.000 - 352.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health plans
401(k) Match
ESPP
Matching donations
Flexible time away plan
Family leave programs

Zusammenfassung

ServiceNow in Kirkland, WA is seeking a Senior Staff Software Engineer - AI/ML Inference Engineering to lead architecture, optimization, and operational excellence of our AI inference platform.

You will own the end-to-end inference lifecycle—from onboarding cutting-edge models to deploying optimized inference engines across Kubernetes backends, and you will architect the intelligent gateway layer using Envoy to enforce access control, observability, and advanced routing.

Qualifikationen

  • Advanced backend software engineering experience with Go or Python.
  • Experience with model-serving runtimes and ML inference tech.
  • Exposure to LLM APIs or ML-serving systems.
  • Experience building products with complex algorithms.
  • Strong object-oriented and modular software design skills.
  • Solid foundation in AI/ML techniques and algorithms.
  • Experience in testing, profiling, and tuning code.

Aufgaben

  • Lead architecture, optimization, and ops of the AI inference platform.
  • Own end-to-end inference lifecycle from onboarding models to deployment.
  • Architect gateway layer using Envoy for access control and observability.
  • Work with GPU compute, LLM APIs, inference frameworks, containers, and orchestration.
  • Drive measurable performance impact and reliability.

Kenntnisse

Go or Python
OOP
Design Patterns
Algorithms
Model-serving & runtime
LLM APIs / ML-serving
Product-focused development
Software quality
AI/ML techniques
Unit testing / profiling

Ausbildung

Bachelor’s degree in CS/SE or related field
Master’s degree (optional offset)

Tools

vLLM
TensorRT-LLM
Triton Inference Server
Envoy

Jobbeschreibung

ServiceNow in Kirkland, WA is seeking a Senior Staff Software Engineer - AI/ML Inference Engineering to lead architecture, optimization, and operational excellence of our AI inference platform.

You will own the end-to-end inference lifecycle—from onboarding cutting-edge models to deploying optimized inference engines across Kubernetes backends, and you will architect the intelligent gateway layer using Envoy to enforce access control, observability, and advanced routing.

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