7mo ago

Member of Technical Staff, Backend, LLM Applications

Bay Areafull-timelead

OtherMember Of Technical Staff

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Quick Summary

Overview

The Role We seek experienced backend engineers to own the systems that serve our diffusion LLMs in production.

Technical Tools

OtherMember Of Technical Staff

The Role

We seek experienced backend engineers to own the systems that serve our diffusion LLMs in production. You'll build and operate infrastructure that handles billions of inference requests — optimizing for latency, throughput, cost, and reliability. This role sits at the intersection of ML systems and backend infrastructure.

Key Responsibilities

Design, build, and operate scalable backend services and model serving infrastructure for our diffusion LLMs.
Implement and manage load balancing, autoscaling, and traffic routing for model endpoints.
Build systems for model versioning, canary deployments, and zero-downtime rollouts.
Develop monitoring, alerting, and observability tooling to ensure SLA compliance and rapid incident response.
Benchmark and evaluate serving frameworks and hardware configurations to inform infrastructure decisions.

Qualifications

BS/MS/PhD in Computer Science or a related field (or equivalent experience).
5+ years of experience building production backend systems.
Strong proficiency in Python, including async programming and concurrent systems.
Solid understanding of distributed systems, networking, and load balancing at scale.
Familiarity with Kubernetes, CI/CD pipelines, and cloud infra (AWS and/or Azure).

Preferred Skills

Experience serving LLMs or other large generative models in production at scale.
Experience with cloud infrastructure (AWS, Azure), including GPU instance management and cost optimization.
Experience with infrastructure as code tools (Terraform) and deployment automation.
Experience with monitoring and observability tools (Prometheus, Grafana).
Familiarity with model serving frameworks (vLLM, Triton Inference Server, TensorRT-LLM).

What We Offer

~1 min read

The annual base salary range for this role is $200,000 – $350,000 USD. Final compensation is determined based on experience, skills, and qualifications. Equity and benefits are included in the total package.