3 дня назад
Senior Product Manager, Compute Platform (AI)
280 540 - 330 950$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Manager, Compute Platform (AI): Building and scaling Roblox's AI compute platform across GPUs, AI accelerators, Kubernetes, on-premises infrastructure, and public cloud with an accent on fleet reliability, resource scheduling, and cost-efficient model training and inference. Focus on designing distributed compute primitives, reducing failure detection and recovery time, and balancing utilization, latency, cost, and delivery speed across multiple platform teams.
Location: United States; roles based in the San Mateo, California headquarters are onsite Tuesday through Thursday, with optional presence on Monday and Friday
Salary: $280,540–$330,950 USD annual base pay
Company
Roblox builds a 3D immersive gaming and social platform that enables a global community of developers and creators to build interactive experiences.
What you will do
- Set the strategy and roadmap for Compute Platform across managed Kubernetes, managed compute services, distributed systems, and unified fleet APIs.
- Scale GPU infrastructure for frontier-model training and inference across on-premises data centers, edge data centers, and public cloud.
- Support AI, storage, data analytics, and other critical workloads with compute infrastructure designed for different requirements.
- Improve platform reliability by reducing mean time to detect and recover from failures.
- Partner with seven platform teams to provide reusable compute primitives and developer-facing capabilities.
- Align engineers, AI researchers, product teams, finance, users, and leadership around trade-offs in utilization, latency, cost, and delivery speed.
Requirements
- 7+ years of product management experience focused on compute infrastructure or distributed systems at scale.
- Deep practical knowledge of Kubernetes internals, control-plane components, Operators, Controllers, and Custom Resource Definitions.
- Strong understanding of GPU and accelerator architecture, topology-aware placement, preemption, hardware affinity, and resource-readiness validation.
- Experience with cloud-native networking, microservices, CNIs, and enterprise service-mesh architectures.
- Experience building production-grade compute platforms with strong efficiency, reliability, and developer experience.
- For US-based roles, certain US visa categories may not be supported and future H-1B sponsorship may not be available.
Nice to have
- Experience building compute infrastructure on AWS, Google Cloud Platform, Azure, or another cloud provider.
- Background in AI model development, training, or inference.
- Kernel-level experience or familiarity with custom kernel drivers.
- Experience building agentic systems for compute or infrastructure.
Culture & Benefits
- Work on infrastructure supporting large-scale AI, gaming, and social experiences.
- Full-time employees are eligible for equity compensation and company benefits.
- Office-based roles follow an onsite schedule Tuesday through Thursday, with optional Monday and Friday presence.
- Reasonable accommodations are available during the recruiting process for qualifying disabilities or religious beliefs.
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