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vLLM jobs and hiring demand

Core and required roles are separated from contextual and optional mentions so the headline does not overstate job intent.

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16core + required roles69context + optional mentions30remote-friendly▼ -16 this week

Employer concentration

EPAM accounts for 35 of 85 mentions (41%). The remaining 50 mentions span other employers.

View without top 1 employer →View without top 3 employers →
vLLM market intelligence visualization

AI & Data · responsibility and evidence

vLLM market guide

vLLM is an inference and serving system for language models. It addresses the execution layer around model requests, including batching and memory efficiency. Vacancies naming it often require performance, deployment or model-serving evidence rather than only prompt-writing experience.

85 live roles13 hiring companies35% remote-friendly

Vacancy evidence map

Where vLLM carries hiring weight

Each segment represents roles where vLLM was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.

0 Core16 Required34 Supporting35 Optional
16core + required19% of mentions
6.5roles per company13 employers

Market interpretation

What vLLM demand means in practice

vLLM is an inference and serving system for language models. It addresses the execution layer around model requests, including batching and memory efficiency. Vacancies naming it often require performance, deployment or model-serving evidence rather than only prompt-writing experience.

State the model, hardware, input lengths and concurrency used in your measurements. Report latency distributions and throughput together, and explain memory limits and overload handling. Separate offline batch inference from an online serving workload; a speed claim is useful only when another engineer can reproduce its operating conditions.

ML & AI PlatformInference Engineering
Technical references: vLLM reference ↗

Reading the market

Signals to look for

  • Look for responsibility for model, hardware and workload conditions.
  • Look for responsibility for latency, throughput and memory measurements.
  • Look for responsibility for overload handling and deployment ownership.

Geographic demand

Top vLLM locations

United States25California, United States22Santa Clara, California, United States18Remote14Ukraine7Washington, United States7Israel6Uzbekistan5

Questions candidates ask

vLLM hiring FAQ

What work does vLLM represent?

vLLM is an inference and serving system for language models. It addresses the execution layer around model requests, including batching and memory efficiency. Vacancies naming it often require performance, deployment or model-serving evidence rather than only prompt-writing experience.

What evidence should I provide for a vLLM role?

State the model, hardware, input lengths and concurrency used in your measurements. Report latency distributions and throughput together, and explain memory limits and overload handling. Separate offline batch inference from an online serving workload; a speed claim is useful only when another engineer can reproduce its operating conditions.

How vLLM appears in job requirements

Inferred from the title and requirement wording in 85 active roles; each role is counted once. Read the methodology.

Posting evidence, not a company-wide stack claim
Main / core
0%(0)
Required
19%(16)
Supporting / context
40%(34)
Nice-to-have
41%(35)

Skills mentioned with vLLM

A shared posting does not always require both skills. Explicit alternatives are counted separately.

AI82 together9 both requiredLLM70 together14 both requiredPython66 together11 both requiredMachine Learning65 together8 both requiredCloud57 together9 both requiredScalability49 together2 both required

Role graph

Roles hiring for vLLM

Software Engineering 36Machine Learning & AI 31DevOps & Platform 3Data Science 2ML & AI Platform 2Product Management 2Robotics & Manufacturing 2AI Agents & Applications 1

Latest roles mentioning vLLM

AI/Python Engineer

Required

Geniusee — Remote

Staff SRE Engineer - Voice Core Platform

Required

ServiceNow — Hyderabad, Telangana, India

Senior AI Engineer

Nice

EPAM — Uzbekistan

Software Engineer, Machine Learning Platform - Gen AI

Context

DoorDash — San Francisco, California, United States; Sunnyvale, California, United States; Seattle, Washington, United States

Staff Software Engineer, Machine Learning, TPU Workload Optimization

Required

Google — Singapore

Senior Solution Architect, MLOps - AI Factory

Context

NVIDIA — Remote

View all 85 roles mentioning vLLM →