Nebius

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Senior Customer AI Engineer to join our Token Factory team. This role is at the intersection of engineering, delivery, and customer success, ensuring that customer AI workloads transition smoothly from proof-of-concept to production and scale reliably on Nebius infrastructure. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments.

$210k - $262k

Tavily is building the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. They connect LLMs to high-quality, trustworthy web content, enabling developers to build intelligent and informed agents. Tavily works with innovative AI teams, from startups to large enterprises, serving as the link between LLMs and the real world.

$147k - $224k

We are seeking a Senior Software Engineer to design and build the billing platform for a novel search engine tailored for agentic AI consumption. This role will own the systems that accurately translate product usage into revenue, supporting flexible billing models such as usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Ensuring correctness is paramount, as every event must be precisely measured and every invoice must be accurate to the cent.

$147k - $224k

Nebius is a leading cloud infrastructure provider for the global AI economy, building a full-stack AI cloud platform. We are seeking a Senior Customer AI Engineer to join our Token Factory team. This role focuses on helping customers successfully transition their AI workloads from proof-of-concept to production and scale them on Nebius infrastructure. You will operate at the intersection of engineering, delivery, and customer success, ensuring reliable, performant, and cost-efficient deployments. You will collaborate closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams.

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will focus on improving latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work alongside Physical AI customers to understand their workloads and production requirements, translating these into actionable insights for our core infrastructure products. You will also investigate and prototype new product opportunities based on unmet customer needs, helping to shape the future of Nebius' offerings. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure in close collaboration with customers, NVIDIA, Product, and Engineering teams.

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure, from data and model training to production deployment. This role focuses on the infrastructure for large-scale AI training and model post-training capabilities, specifically for frontier model improvement. The work involves distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. The Senior Machine Learning Engineer will own ML work end-to-end, translating ambiguous goals into concrete experiments, implementing and debugging training and RL recipes, building supporting systems, and delivering measurable improvements in model quality, throughput, and reliability. This is a hands-on role requiring independent debugging of both model behavior and distributed training failures.

$195k - $262k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy, from data and model training through to production deployment. The Nebius Token Factory is seeking scientists to tackle frontier LLM and VLM inference bottlenecks by turning them into research questions, conducting rigorous experiments, and translating findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts for engineers to build upon. Your research will cover areas like quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will evaluate trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and collaborate with engineering teams to bring promising results into production.

$195k - $262k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Senior Machine Learning Engineer on the Applied AI team, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization, model compression, speculative decoding, KV-cache optimization, inference engines, and serving architecture to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will collaborate with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions, validating improvements through reproducible benchmarks and safe production rollouts.

$195k - $262k

Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to high-quality web content. As a Forward Deployed Engineer, Enterprise, you will work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You will own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. This is a full-time, on-site role based in our New York office.

$180k - $224k

Nebius is building a full-stack AI cloud platform for the global AI economy, supporting developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, you will work directly with Physical AI customers to understand their workloads and production requirements. Your insights will shape our core infrastructure products and inform future development by connecting needs across Physical AI industries with product decisions. You will also investigate opportunities for new Nebius products by developing hypotheses about unmet needs, examining demand, and building prototypes to test with customers. This hands-on role involves writing code, deploying and benchmarking models, building agents, and troubleshooting infrastructure alongside customer engineers, with close collaboration across customers, NVIDIA, Product, and Engineering.

$180k - $224k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform. This role involves analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software, operating across the full stack from hardware and system software to networking, virtualization, and distributed communication layers.

$170k - $300k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. As a Forward Deployed Engineer, Ecosystem, you will sit at the intersection of solution architecture and hands-on engineering. You will assess how partner products work on our stack, define reference architectures for integrations, build prototypes to prove concepts, and translate findings into product requirements that shape future Nebius offerings.

$180k - $224k

Nebius is a leading AI cloud platform provider, supporting developers and enterprises from data training to production deployment. Tavily is building the search engine for AI agents, powering agentic applications and real-time reasoning by connecting LLMs to trustworthy web content. The Forward Deployed Engineering team at Tavily focuses on technical partnerships across the AI ecosystem, including model providers, agent frameworks, and infrastructure companies. This role involves working directly with strategic partners to design, build, and launch solutions that integrate Tavily into the agent stack, acting as both a builder and a technical partner to ship code, influence product direction, and help Tavily become the default search and web access layer for agentic applications.

$113k - $184k

Nebius is seeking a Sr. Solutions Engineer to serve as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on the Nebius platform. This role involves bridging customer requirements with internal engineering capabilities to ensure successful deployment, stable operations, and ongoing optimization of complex, high-performance environments. You will be instrumental in supporting customers, investigating and resolving complex issues, and contributing to the continuous improvement of our systems.

$180k - $220k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure. This senior systems engineering role focuses on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. The engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the root cause of issues, developing new troubleshooting procedures for ambiguous problems. The role requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions.

$180k - $224k

Nebius is building a full-stack AI cloud platform to support developers and enterprises in the global AI economy. We are focused on solving complex problems across compute, storage, networking, and applied AI. The Token Factory team is developing a cutting-edge inference platform designed to make various foundation models (text, vision, audio, and multimodal) fast, reliable, and effortlessly deployable at massive scale.

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage, ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. You will define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.

$184k - $318k