Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль сочетает исследования передовых систем инференса с разработкой для продакшена, но высокий уровень требований и отсутствие данных о зарплате оставляют неопределённость по нагрузке и компенсации.
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Высокие требованияЗарплата не указанаСовременный стекПередний край ИИОт исследований к продакшену
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Scientist / Research Engineer, Inference Systems (AI): Rebuilding and optimizing inference serving systems for agentic workloads and large MoE models with an accent on disaggregation, tiered caching, distributed serving, and measured system-level improvements. Focus on designing new inference approaches, implementing them in production serving stacks, and producing results suitable for deployment and publication.
Location: Singapore, Singapore or Austin, United States
Company
hirify.global is a technology company focused on Bitcoin mining, AI cloud infrastructure, computing power solutions, and high-performance computing datacenters.
What you will do
Research the frontier of inference systems for agentic workloads, large mixture-of-experts models, disaggregated serving, and tiered caching.
Evaluate which research ideas are relevant to production workloads and define measurements before optimizing.
Design and implement system-level improvements in the inference serving stack.
Develop new approaches when existing inference architectures do not meet performance or efficiency requirements.
Collaborate with the AI Cloud platform team responsible for the production serving stack.
Produce results strong enough to deploy and publish.
Requirements
Master’s or PhD in Computer Science, Electrical Engineering, or a related field; exceptional Bachelor’s candidates may also be considered.
Strong understanding of LLM inference and serving systems.
Hands-on experience with at least one inference engine, such as vLLM or SGLang.
Experience combining research with implementation and shipping systems code.
Strong Python and C++ skills.
Ability to define reliable measurements and clearly explain what results do and do not demonstrate.
Nice to have
Distributed serving experience.
Publications at leading systems venues.
Significant open-source contributions to inference projects.
Culture & Benefits
Inclusive environment that values authenticity and diverse perspectives.
International team working in English across Singapore and the United States.
Opportunity to contribute directly to AI cloud and digital asset infrastructure.
Autonomous work, personal accountability, and opportunities for rapid growth.
Training, mentoring, welfare benefits, and developmental opportunities.
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