Ensure fault-tolerance, scale, and uninterrupted operations for the service. Use cutting-edge cloud technology to solve a variety of infrastructure problems.
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Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value. Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap.
Conduct experiments to efficiently train large language models and explore methods of guided generation and search. Mine relevant data at web scale and conduct experiments with various reinforcement learning configurations.
The Senior Hypervisor Engineer will optimize I/O for emulated devices, integrate the hypervisor with platform services, and improve guest system support. The role also involves collaborating with the open-source community and providing low-level security for the hypervisor.
The Senior Hypervisor Engineer will optimize I/O for emulated devices, integrate the hypervisor with platform services, and improve guest system support. They will also advance open source virtualization and provide low-level security for the hypervisor.
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The Senior HPC Cluster Engineer will tune the performance of GPU clusters and InfiniBand networks, analyze and troubleshoot issues, and integrate new hardware into the existing infrastructure. The role also involves enhancing automation systems for proactive monitoring and managing GPU devices and InfiniBand fabrics.
The Compute Node team builds services for managing Virtual Machines on GPU servers and develops the Virtual Machine Scheduler for clusters with thousands of servers. This involves integrating with disk management and virtual networks across multiple data centers.
The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This includes conducting market assessments, coordinating technical due diligence, and managing vendor relationships.
The role involves developing a data plane for Nebius Cloud network services and improving service performance and reliability. Additionally, the engineer will automate complex cross-service interaction scenarios and perform load testing for services.
Senior Site Reliability Engineer — AI Studio (Inference Platform)
Nebius
·
Full Time
·
35 Weeks Ago
Nebius
You will own the reliability, performance, and observability of the entire inference stack. This includes designing telemetry pipelines, tuning Kubernetes autoscalers, and creating automation for incident management.
The Principal Engineer will own and drive the roadmap and implementation for multiple areas of focus while collaborating closely with leadership, product, and teams to set strategy. They will also develop and maintain backend services and APIs, ensuring the architecture is secure, seamless, and scalable.
The Sales Engineer is responsible for delivering product demonstrations that showcase the value of the software to customers. They also provide technical support during the sales process and collaborate with sales counterparts to establish commercial relationships.
The Data Engineer will work across the full lifecycle of data engineering, including building and maintaining data pipelines and deploying solutions in production. They will also be responsible for fixing bugs, improving existing systems, and contributing to backend services.
The AWS Solutions Architect will analyze current technologies, propose improvements, and collaborate with IT professionals to ensure project success. They will also provide architectural guidance and assist customers in migrating systems to the AWS platform.
The Site Selection & Colocation Manager is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role involves collaboration with various teams to ensure that selected sites meet operational, technical, and business requirements.
Collaborate with researchers and engineers to design and develop large language models and generative models for various applications. Implement, train, and fine-tune models on large-scale datasets to ensure optimal performance and accuracy.
The Full Stack Engineer will design and develop applications on the MERN Stack and mentor team members towards common objectives. They will also implement CI/CD pipelines and ensure data quality and security compliance.
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The role involves performing AI-focused vulnerability research and leading red teaming against AI systems. Additionally, the researcher will build customer-facing proof-of-concepts that align with customer use cases.
Help build, manage, and maintain a sophisticated validator infrastructure and tooling for Jump Trading Group. Improve monitoring and alerting systems for crypto infrastructure to enable quick and effective problem resolution.
Help build, manage, and maintain a sophisticated validator infrastructure and tooling for Jump Trading Group. Improve monitoring and alerting systems for crypto infrastructure to enable quick and effective problem resolution.
Help build, manage, and maintain a sophisticated validator infrastructure and tooling for Jump Trading Group. Improve monitoring and alerting systems for crypto infrastructure to enable quick and effective problem resolution.
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by solving product and business challenges. You will work closely with various teams to understand product usage patterns and make data-driven decisions.
Engage directly with customers to design, develop, and deploy AI-based enterprise applications. Continuously identify technical risks and gaps while enhancing customer applications.
Lead engagement strategy and execution across assigned client accounts while ensuring timely delivery of performance goals and customer satisfaction. Build and maintain strong client relationships and identify opportunities for upselling and cross-selling.
The role involves exceeding sales targets by winning new clients and managing the full sales cycle from prospect to close. Collaboration with other teams and effective communication are essential for success.
As a Senior Product Manager, you will create industry-leading digital products and shape product strategy while collaborating with various stakeholders. You will ensure timely delivery of projects and maintain a people-centered user experience.
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You will converse with the model on software engineering tasks and technical scenarios using Python, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
You will converse with the model on software engineering tasks and technical scenarios using Python, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to prompt engineering and evaluation metrics.
You will converse with the model on software engineering tasks and technical scenarios using Python, verifying logical accuracy and coding fluency. Additionally, you will assess code quality and clarity, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets while educating product and engineering teams on market trends. Additionally, you will develop deep relationships with senior customer business leaders and create reusable assets to scale the broader organization.
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