Nebius Group

Serve as a senior technical leader, translating customer needs into scalable platform strategies, supporting sales, and guiding product and engineering teams. | Over 10 years in cloud infrastructure or distributed systems, 5+ years in AI or robotics, experience in senior technical leadership, and strong communication skills. | Austin, Texas, United States; San Francisco Bay Area, California, United States Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The role Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Field CTO for Physical AI & Robotics is a senior technical leadership role responsible for converting raw market demand into a scalable, domain-specific platform. You will own the technical product strategy, ensuring Nebius evolves its capabilities to support the unique demands of Physical AI workloads. Operating at the intersection of deep customer engagement and platform engineering, you will serve as a principal technical partner in strategic opportunities—engaging directly with customer CTOs to map Nebius’ existing capabilities to their immediate needs to help close complex deals. You will not only identify customer challenges but also architect the solution patterns that solve them for the entire market. This is a definitive "Zero to One" opportunity to define a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the Unites States (SF Bay Area, CA & Austin, TX Preferred) Your responsibilities will include: • Executive Technical Leadership: Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers. • Lighthouse Deal Support: Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals. • Technical Product Strategy: Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams. • Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers. • Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market. • Architectural Guidance: Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows. • Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions. • Ecosystem & M&A: Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets. • Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D. We expect you to have: • 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems. • 5+ years of experience in AI, HPC, and/or robotics, with exposure to production or large-scale systems. • Prior experience in a senior technical leadership role (e.g., Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer). • Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO. • GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets. • Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets. • Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking. • Robotics Fluency: Experience with Physical AI and robotics workflows, including simulation, synthetic data, training pipelines, and real-world deployment constraints. • Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility. • Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving. Why Nebius: • Build Solutions: You aren't just selling infrastructure; you are shaping the cloud architecture that will power the next generation of Physical AI • Frontier Technology: Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners • Strategic Impact: Operate with real influence over product direction, platform strategy, and ecosystem development • Ownership: Join a team that values technical depth, ownership, and speed of execution • Mission: Help define how intelligence moves from the data center into the physical world Key employee benefits in the US: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) plan: Up to 4% company match with immediate vesting. • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. • Remote work reimbursement: Up to $85/month for mobile and internet. • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience. What we offer • Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Design and develop backend services and automation for hardware provisioning, testing, and lifecycle management, interfacing directly with servers and management controllers. | Strong experience with Python, Linux, networking fundamentals, hardware management interfaces, CI/CD, and NoSQL databases; ability to debug complex hardware-software issues. | Remote - United States Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The role Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations. You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready. Your responsibilities will include: • Design and develop backend services and automation in Python • Build and maintain systems for hardware provisioning, testing, and lifecycle management • Develop software that runs directly on bare-metal environments • Integrate with Linux systems, using Bash and low-level tooling where needed • Implement and maintain CI/CD pipelines for infrastructure-focused software • Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows • Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards) • Enable reliable hardware interaction and automation across large fleets • Support ARM64 / ARM64EC architectures • Design and integrate NoSQL data stores for system state and orchestration data • Write clear documentation and contribute to operational excellence What we expect you to have: • Strong professional experience as a software engineer, with a focus on Python • Solid experience with Linux systems and shell scripting • Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot) • Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs) • Familiarity with CI/CD systems and production deployment workflows • Experience designing or working with NoSQL databases • Ability to debug complex issues spanning software, hardware, and networks • Strong ownership mindset and clear communication skills in a distributed team It will be an added bonus if you have: • Experience operating or building systems for large-scale infrastructure • Familiarity with ARM-based platforms in production environments • Background in hardware testing, validation, or factory provisioning • Experience with infrastructure automation or internal platform tooling • Contributions to open-source or internal systems software projects Working conditions: • Fully remote position (United States) • Collaboration with globally distributed engineering and operations teams Key employee benefits: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families • 401(k) plan: up to 4% company match with immediate vesting • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers • Remote work reimbursement: up to $85/month for mobile and internet • Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation • We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation of AI infrastructure. What we offer • Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Lead the technical strategy and architecture for AI infrastructure projects, ensuring scalability, performance, and alignment with business goals. | Extensive experience in cloud platform engineering, distributed systems, AI infrastructure, and executive communication skills. | Job Description: • Own the Category-Defining Architecture: Personally own the technical strategy for our lighthouse deals (e.g., an Agency Global Hold Co data consolidation or a AAA Studio infrastructure migration). Ensure these architectures are engineered to survive real-world scale, not just pass a POC. • The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions (e.g., Data Lake locality, storage tiering) directly impact their business model and operability. • Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower ad costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%). • Map the Transition: Identify exactly where a customer sits on the curve from Service Bureau to Tech Platform and prescribe the specific infrastructure intervention needed to move them forward. • Build the Integration Layer: You will identify, court, and technically validate relationships with the most critical ISVs in the media landscape. • Define the Standard: It is not enough to just “support” these tools; you will define the reference architectures for how they run best on our infrastructure. • Chair the M&E Product Summit: You will lead a quarterly summit with Core Engineering leadership. You will use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. • Direct our Engineering Team: Ensure our engineering teammates are building the right things at the right time, both in the field as well as high-leverage assets such as scalable quick-start reference architectures (e.g., “Deploying Llama-405B for Ad Copy Creation”). Requirements: • 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems. • Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. • Product-Minded: Experience defining a platform strategy, not just executing tickets. You must be comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative. • Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it. • Entrepreneurial Grit: You view constraints as puzzles to solve, not reasons to stop. • Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth. • Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet). • Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands. • Industry Fluency: You have experience operating within a part of the M&E sphere and can speak the language of at least two of the following sub-sectors: Gaming, Multimodal Generative Models, AdTech, VFX. • Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path. Benefits: • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. • 401(k) Plan: Up to 4% company match with immediate vesting. • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. • Remote Work Reimbursement: Up to $85/month for mobile and internet. • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.