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4 дня назад

Sr. Member of Technical Staff (AI Inference)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Sr. Member of Technical Staff (AI Inference): Designing resilient, high-availability software and cloud deployment workflows for scalable AI inference services with an accent on AWS infrastructure, automation, container orchestration, and distributed observability. Focus on building fault-tolerant recovery mechanisms, optimizing parallel inference workloads, and debugging model deployment and networking issues across Kubernetes-based environments.

Location: Headquarters/Sunnyvale Office, United States; on-site

Company

hirify.global Systems develops large-scale AI computing hardware and software for high-speed model training and inference.

What you will do

  • Design and develop resilient, highly available software features with automated recovery and fault-tolerant architecture.
  • Build and maintain AWS-based deployment workflows for low-latency, scalable AI inference services.
  • Develop Python scripts and APIs for data preprocessing, inference execution, and post-processing.
  • Use multithreading and asynchronous processing to improve resource efficiency on AWS compute instances.
  • Deploy inference software in Docker containers and define Kubernetes orchestration strategies for reliable scaling.
  • Monitor, debug, and resolve service defects using logs, metrics, distributed traces, CloudWatch, Grafana, and related tools; document infrastructure, APIs, defects, and releases.

Requirements

  • Master's degree or foreign equivalent in Computer Science or a related field.
  • At least 18 months of experience as an Information Security Analyst, Software Engineer, Senior Member of Technical Staff, IT Senior Applications Engineer, or in a related role.
  • Infrastructure-as-Code and deployment automation experience with Terraform, AWS CloudFormation, AWS CDK, and Ansible.
  • Containerization and orchestration experience with Docker, Kubernetes, AWS EKS, AWS ECS, AWS Fargate, and Helm.
  • Experience with AWS EC2, AWS Lambda, Auto Scaling Groups, monitoring and tracing tools, PostgreSQL, Redis, NFS, Jenkins, and Git.
  • Programming experience with Python, Node, JavaScript, and Flask.

Culture & Benefits

  • Work on an AI platform designed beyond the constraints of GPUs.
  • Opportunities to publish and open-source AI research.
  • Work with one of the world's fastest AI supercomputers.
  • Startup vitality combined with job stability.
  • Non-corporate culture focused on individual beliefs, learning, growth, and inclusion.

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