Member of Technical Staff, Compute Orchestration & Scheduling (AI)
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Описание вакансии
TL;DR
Member of Technical Staff, Compute Orchestration & Scheduling (AI): Building and optimizing compute orchestration and scheduling layers for foundational AI models, with an accent on workload placement, scaling, and reliability. Focus on designing scalable abstractions, improving cluster efficiency, and ensuring platform observability in production environments.
Location: Mountain View, United States (Hybrid). Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of that location, starting January 26, 2026.
Salary: USD $188,000–$304,200 per year (for San Francisco Bay area and New York City metropolitan area); USD $139,900–$274,800 per year (for other U.S. locations).
Company
is building foundational models to develop novel responsible and efficient artificial general intelligence and empowers every person and every organization to achieve more.
What you will do
- Design and build compute orchestration and scheduling layers on top of Kubernetes and Ray for large compute-capacity foundational AI models.
- Develop and tune scalable software for Nvidia GB200 and AMD MIxxx architectures.
- Benchmark GPU clusters and gather data to develop the pretraining compute roadmap.
- Improve cluster efficiency and ensure the compute platform is observable and easy to operate in production.
- Actively contribute to the development of AI models for innovative products, spanning model architecture, data curation, training/inference, and evaluation.
- Drive architectural changes and influence the roadmap of relevant software and hardware components.
Requirements
- Bachelor’s Degree in Computer Science or related technical field.
- 6+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
- Experience with compute orchestration and scheduling on top of Kubernetes and Ray.
- Strong understanding of workload placement, scaling, and reliability.
- Experience with GPU clusters and related architectures (Nvidia GB200, AMD MIxxx).
- Ability to work in a fast-paced, design-driven, product development cycle.
Nice to have
- Master’s Degree in Computer Science or related technical field.
- 8+ years technical engineering experience (Master's) OR 12+ years experience (Bachelor's).
- Deep care for conversational AI and its deployment.
Culture & Benefits
- Work within ’s Superintelligence Team, a startup-like team focused on Humanist Superintelligence.
- Collaborate to create AI that amplifies human potential, remaining controllable, safety-aligned, and anchored to human values.
- Opportunity to partner with product teams to reach billions of users.
- Culture of inclusion built on values of respect, integrity, and accountability.
- Growth mindset and innovation focus.
- Standard Microsoft benefits for eligible roles.
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