Member of Technical Staff, Cloud Orchestration
At a glance
Senior Software Engineering role at Inferact. San Francisco · full-time · $200,000–$400,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build cluster-management, deployment and monitoring systems that keep vLLM reliable at scale
- Make deployments easier to observe, troubleshoot and recover when problems arise
- Automate infrastructure so teams can run AI model serving with less operational friction
What you bring
- A computer science, engineering or similar degree, or equivalent experience
- Strong Kubernetes and container-orchestration experience at scale, including building custom operators
- Proficiency in Python, Rust or Go, plus infrastructure-as-code tools such as Terraform or Helm
- Experience operating GPU clusters, diagnosing hardware problems and working across cloud and on-premise environments
Who this fits
This senior engineering role suits someone focused on Kubernetes orchestration and reliable ML infrastructure. The position is based on-site in San Francisco, with US remote work considered for exceptional candidates. Visa sponsorship is assessed case by case.
From the employer
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.
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