Inferact
Member of Technical Staff, Cloud Orchestration
San Francisco · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$21,187 more — $221,187 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $221,187 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works.
Responsibilities
- You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction.
Requirements
- 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.
Nice to have
- 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.
- Experience deploying inference systems on large-scale GPU (1,000+) clusters.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
Compensation
- Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
Benefits
- Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.
Company info
- 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.
Visa & Work Authorization
- We sponsor visas on a case-by-case basis.
This listing is sourced directly from Inferact's careers page and normalized into a canonical job model.