Manager of Field Engineering

As the Manager of Field Engineering for Physical AI, you will lead the operating model for this specialist practice in your region, combining people leadership, technical judgment, customer delivery, and commercial understanding. You will build and lead a high-performing team, set the technical and delivery bar for customer engagements, and partner directly with strategic customers and senior stakeholders. This is an exciting opportunity to shape a category-defining Physical AI practice and make a significant impact in the engineering industry.

About CoreWeave

• CoreWeave, a leading provider of cloud-based GPU computing solutions.
• Experience partnering across Product, Engineering, Sales, Marketing, and Field Engineering to align priorities and move work from customer signal to delivered capability
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match
• You want to help shape a category-defining Physical AI practice while building a team and operating model that can scale with CoreWeave
• You are excited by the challenge of bringing AI into engineering organizations that may not have historically worked with dedicated data science teams
• You believe the strongest teams learn from every engagement, turn repeated lessons into reusable capabilities, and share those practices generously across the organization

Responsibilities

• Evoluer le modèle opérationnel pour l'ingénierie de terrain en intelligence physique, de la qualification des opportunités à l'adoption et à l'expansion.
• Diriger, coacher et développer une équipe performante d'ingénieurs spécialisés, de scientifiques des données déployés en avant et d'ingénieurs déployés en avant.
• Établir un retour d'information discipliné du terrain au produit : identifier les besoins récurrents des clients, distinguer les opportunités de produit réutilisables.
• Sufficient technical depth in AI/ML applied to physical systems or engineering workflows to engage credibly with ML engineers, data scientists, controls engineers, simulation specialists, and engineering leaders, and to make sound judgments about data, modeling, validation, and deployment trade-offs

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical discipline, or equivalent practical experience
• 10+ years of experience in technical consulting, field engineering, product engineering, applied AI, or a related customer-facing engineering discipline
• Excellent written and verbal communication skills with the ability to clearly articulate complex technical topics to technical, executive, and customer audiences
• 5+ years of experience leading and developing technical teams in a fast-moving environment, with a track record of hiring strong people, setting a clear bar, and creating an environment where specialists can do their best work
• You are comfortable creating structure in an evolving environment, while keeping the focus on customer value and delivery rather than process for its own sake
• You care about building working software that engineers use in production, not producing recommendations that someone else has to implement
• You enjoy operating at the boundary between technical depth, customer outcomes, and team leadership, and you know when to go deep yourself and when to create the conditions for others to do their best work
• Experience in automotive, robotics, aerospace and defense, industrial, manufacturing, or another engineering-intensive industry
• Capable of owning capacity models, hiring plans, creating technical career frameworks, delivery KPIs, or portfolio-level planning across multiple customer engagements
• Track record of converting repeated customer problems into reusable software, product capabilities, or standardized delivery patterns

Preferred

• Experience delivering or supporting AI solutions in embedded, on-site, production, or safety-critical environments

Pay

USD 157,000 - 231,000

Familiarity with modern ML platforms and workflows spanning experimentation, model management, data exploration, application development, and cloud deployment