TL;DR
Member Of Technical Staff (AI): Develop and optimize compute orchestration and scheduling software for AI model training infrastructure with an accent on Kubernetes, Ray, and GPU cluster efficiency. Focus on designing scalable abstractions, improving cluster reliability, and enabling production-ready compute platforms for advanced AI workloads.
Location: Mountain View, United States, onsite with office presence required at least four days a week if living within 50 miles
Salary: $188,000–$304,200 per year (San Francisco Bay area and New York City metropolitan area)
Company
hirify.global is a division focused on building foundational AI models and responsible artificial general intelligence to empower people and organizations worldwide.
What you will do
- Develop and tune scalable pretraining software for Nvidia GB200 and AMD MIxxx GPU architectures
- Benchmark GPU clusters and gather data to inform compute roadmap
- Collaborate with research and framework teams to translate requirements into scalable compute orchestration and scheduling solutions
- Improve cluster efficiency, reliability, and developer experience on Kubernetes and Ray platforms
- Drive architectural best practices and influence software and hardware roadmap
- Contribute to AI model development powering innovative products
Requirements
- Location: Must be onsite in Mountain View, United States, with office presence required at least four days a week if living within 50 miles
- Bachelor’s degree in Computer Science or related field with 6+ years of technical engineering experience or equivalent
- Proficiency in C, C++, C#, Java, JavaScript, or Python
- Experience with large-scale compute orchestration, scheduling, and GPU cluster management preferred
- English: Proficient (B2) or higher
Nice to have
- Master’s degree or higher with 8+ years experience or equivalent
- Experience with AI model training infrastructure and conversational AI deployment
Culture & Benefits
- Work in a startup-like team within hirify.global focused on cutting-edge AI research and development
- Collaborative culture emphasizing respect, integrity, accountability, and inclusion
- Opportunities to impact AI products reaching billions of users
- Competitive salary and benefits package
- Office-based work with flexible policies subject to local laws
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