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The role involves developing and optimizing GPU-accelerated kernels for ML/AI applications, collaborating with teams to enhance AI systems' performance.

The Manager will analyze and benchmark compute infrastructure sourcing and operations, driving strategic decisions and optimizing resource allocation across sites and vendors.

The role entails optimizing model performance and developer experience through serverless inference platforms, distributed systems, and API development. Responsibilities include enhancing system robustness and scalability, partnering with product teams, and maintaining clean software and IaC.

Translate RL and inference research into production systems to improve latency, throughput, cost, and model quality. Design and implement inference engines and scheduling, build RL/post‑training pipelines, profile and optimize GPU/network/memory performance, run scale experiments, and drive production roadmap and benchmarks. Provide technical leadership and mentor others.

The Senior Backend Engineer will optimize and build systems for the Inference Platform, focusing on low-latency, scalability, and performance for generative AI models. Responsibilities include enhancing request routing, developing auto-scaling systems, and collaborating with ML researchers to implement new model architectures in production.

Develop and maintain a global AI cloud infrastructure, focusing on high-performance backend services, IaaS software, and robust observability solutions.

As a Senior Backend Engineer, you will develop foundational backend services, enhance existing systems, and ensure scalability and robustness in a generative AI cloud platform.

The Product Marketing Director will lead the PMM function, develop go-to-market strategies, manage product launch calendars, and ensure effective cross-functional collaboration to drive product adoption and user growth.