1 час назад
Member of Technical Staff, Backend, LLM Applications
200 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Member of Technical Staff, Backend, LLM Applications (AI/LLM Infrastructure): Building and operating scalable backend services and model-serving infrastructure for diffusion LLMs with an accent on latency, throughput, cost, and reliability. Focus on load balancing, autoscaling, model versioning, canary deployments, observability, and zero-downtime rollouts for billions of inference requests.
Location: Bay Area, United States; in-office
Salary: $200,000–$350,000 annual base salary, plus equity and benefits.
Company
develops diffusion-based large language models designed to deliver faster and more efficient inference at high quality.
What you will do
- Design, build, and operate scalable backend services and model-serving infrastructure for diffusion LLMs.
- Implement load balancing, autoscaling, and traffic routing for model endpoints.
- Build model versioning, canary deployment, and zero-downtime rollout systems.
- Develop monitoring, alerting, and observability tooling for SLA compliance and incident response.
- Benchmark serving frameworks and hardware configurations to guide infrastructure decisions.
Requirements
- BS, MS, PhD in Computer Science or a related field, or equivalent experience.
- 5+ years of experience building production backend systems.
- Strong Python skills, including asynchronous programming and concurrent systems.
- Solid understanding of distributed systems, networking, and load balancing at scale.
- Experience with Kubernetes, CI/CD pipelines, and AWS and/or Azure cloud infrastructure.
Nice to have
- Experience serving LLMs or other large generative models in production at scale.
- GPU instance management and cloud cost optimization experience.
- Experience with Terraform, deployment automation, Prometheus, or Grafana.
- Familiarity with vLLM, Triton Inference Server, or TensorRT-LLM.
Culture & Benefits
- Collaboration with AI researchers and engineers who developed diffusion models and related technologies.
- Opportunity to influence foundational AI infrastructure and product direction.
- Competitive compensation with equity at a rapidly growing startup.
- Flexible vacation, paid time off, health, dental, and vision insurance.
- 401(k) match, catered meals, and commuter subsidies.
- Collaborative and inclusive work environment.
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