Field CTO - Physical AI & Robotics jobs in United States
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Nebius · 1 day ago

Field CTO - Physical AI & Robotics

Nebius is leading a new era in cloud computing to serve the global AI economy, creating tools for customers to solve real-world challenges. The Field CTO for Physical AI & Robotics is responsible for technical product strategy and engagement with customers to ensure Nebius evolves its capabilities for Physical AI workloads.

AI InfrastructureCloud InfrastructureGPUIaaSPaaS
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Growth Opportunities

Responsibilities

Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers
Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals
Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams
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
Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market
Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows
Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions
Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets
Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D

Qualification

Cloud infrastructureAIRoboticsDistributed systemsTechnical leadershipGPU-centric infrastructureHigh-performance computeSales enablementProduct strategyComfort in ambiguityCommunication

Required

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

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.

Company

Nebius

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The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.

Funding

Current Stage
Late Stage
Total Funding
$1.04B
2025-06-04Debt Financing· $1B
2025-05-15Grant· $45M
2024-12-02Seed

Leadership Team

E
Evan Helda
Head of Physical AI
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Vinita Ananth
Sr. Director of Product
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Company data provided by crunchbase