Skip to content
Inferact

Member of Technical Staff, Cloud Orchestration

San FranciscoOnsite · United States
Staff · FullTime · Research & Engineering
POSTED 22 JANVERIFIED 6H AGO
Apply Ask
Role
292 days opentrue age
Posted 22 Jan
Payats field
$200k–400kposted
▲ +25% vs market median $240k
$200k$400k
Market p25–p75
$205k–$284k
Inferact p25–p75
$300kn=9
H-1B median · Software engineering
$360k
SF Bay Area · n=969 · 365d to 6 Nov
CompanyInferact →
32open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
9,276open · Staff Software engineering
Opened · 7d
+4945% of open
All software engineering
75,149open
All tracked boards · live 10 Nov · n=9,276
Visa
5H-1B LCAs · FY26
Median wage
$280k
LCAs FY26 · n=5 · to 2026-05-14
PythonGoRustAWSGCPAzureKubernetesDockerTerraform

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build.

About the Role

We're looking for an cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works.

Skills and Qualifications

Minimum qualifications:

Bachelor's degree or equivalent experience in computer science, engineering, or similar.

Strong experience with Kubernetes and container orchestration at scale.

Experience designing and implementing custom Kubernetes operators.

Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc).

Experience managing GPU clusters and debugging hardware issues.

Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure.

Preferred qualifications:

Experience with ML-specific orchestration tools (Ray, Slurm).

Knowledge of GPU scheduling, multi-tenancy, and resource optimization.

Familiarity with vLLM deployment patterns and configuration.

Track record of improving operational reliability for ML systems.

Bonus points if you have:

Experience deploying inference systems on large-scale GPU (1,000+) clusters.

Logistics

Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.

Compensation: Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.

Visa sponsorship: We sponsor visas on a case-by-case basis.

Benefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.

Inferact, Inc. is an E-Verify company, and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.

Source · InferactFirst seen 2 Nov1 editsOriginal ↗