Топовая возможность для эксперта по распределенным системам возглавить инфраструктуру такого масштаба, который доступен единицам компаний, с современным стеком.
Кликните для подробной информации
Зарплата не указанаПередовой стекТрендовый доменПонятный масштаб
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, HPC (distributed compute infrastructure): Building core services, APIs, scheduling systems, and orchestration strategies for a high-scale HPC platform supporting thousands of concurrent jobs with an accent on reliability, resource efficiency, and multi-region performance. Focus on designing distributed systems, optimizing heterogeneous workload scheduling, and building developer platforms for large engineering organizations.
Location: Hybrid in Foster City, California; Boston, Massachusetts; or Seattle, Washington
Company
Develops autonomous mobility products supported by large-scale software, compute, and infrastructure platforms.
What you will do
Design and implement distributed compute services and abstractions for thousands of concurrent workloads.
Build production-grade APIs, SDKs, and developer tools for large-scale distributed computing.
Develop scheduling algorithms, autoscaling policies, and multi-region orchestration strategies.
Investigate systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners.
Create capacity planning and forecasting tools for growing compute requirements.
Lead cross-team infrastructure initiatives, define the HPC roadmap, and mentor junior engineers.
Requirements
Experience designing and operating large-scale distributed systems in production.
Experience with Ray.io, especially Ray Core and Ray Data, or equivalent technologies.
Experience using Kubernetes for heterogeneous workloads and AWS or similar cloud infrastructure.
Track record of delivering and operating reliable, scalable infrastructure.
Proficiency with Python.
Ability to prioritize engineering work and build cross-functional consensus around technical trade-offs.
Nice to have
Experience with machine learning workloads, including training, inference, or data generation.
Experience operating Kubernetes or SLURM at scale exceeding 10,000 nodes.
Background in SLURM workload management, advanced scheduling policies, algorithmic optimization, or operations research.
Experience building developer tools and platforms for large engineering organizations.
Culture & Benefits
Full-time employment in a hybrid work environment.
Cross-functional collaboration with infrastructure and customer-facing engineering teams.
Opportunity to lead multi-quarter initiatives with organization-wide impact.
Mentorship and support for junior engineers' career development.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →