Senior/Principal Lead Delivery Engineer - Aerospace
San Mateo, CA | Full-Time | Onsite | Salary up to $220K
We're partnering with the hiring manager of a leading Physics AI technology company transforming how engineering teams design, develop, and bring products to market.
The company is developing cutting-edge technology that combines physics-based engineering and AI to help aerospace organizations accelerate innovation, improve performance, and reduce development risk.
We're looking for an experienced aerospace engineer who combines strong technical expertise with customer-facing leadership, hands-on problem-solving, and the ability to turn complex engineering challenges into practical solutions.
What You'll Do:
- Own end-to-end delivery for aerospace customer engagements, from discovery and use-case definition through model development, deployment, and integration into engineering workflows.
- Work directly with aerospace customers to understand complex engineering challenges and translate them into Physics AI solutions.
- Lead cross-functional delivery teams spanning Applications Engineering, Applied AI/ML, Data & Platform Engineering, and Product.
- Establish technical direction, manage project milestones, identify risks, and ensure successful customer outcomes.
- Develop Statements of Work (SOWs), define engagement plans, and maintain accountability for delivery.
- Stay hands-on with engineering workflows, including debugging models, developing Python scripts, working with simulation tools, and prototyping integrations.
- Partner with Sales and business development teams on customer engagements, account growth, and technical strategy.
- Collaborate closely with Product and Research teams, bringing customer feedback and engineering insights into future product development.
- Work alongside customer engineering teams through a collaborative, co-engineering approach.
- Travel to customer sites approximately 10-25% as needed.
What We're Looking For
- 5-10+ years of technical experience in aerospace engineering, aerospace OEMs, propulsion, space, eVTOL/UAM, or aerospace-related engineering software.
- Strong understanding of aerospace multi-physics engineering, including aerodynamics, structural mechanics, aeroelasticity, propulsion, thermal-structural coupling, composites, or simulation.
- Hands-on engineering experience with Python, scripting, simulation tools, and AI/ML workflows.
- Working knowledge of AI/ML applications in engineering, including surrogate modeling, neural operators, physics-informed ML, or digital twins.
- Experience leading cross-functional technical teams and driving projects forward without relying on direct authority.
- Strong customer-facing communication skills and the ability to engage with engineers, technical leaders, and executive stakeholders.
- A product-oriented mindset with the ability to identify high-value engineering problems and translate them into practical solutions.
- A self-starter who thrives in a fast-moving environment, enjoys solving difficult technical problems, and is comfortable working through ambiguity.
Preferred Qualifications:
- MS or PhD in Aerospace Engineering, Mechanical Engineering, or a related discipline.
- Experience with commercial aerospace OEMs, eVTOL/UAM companies, space organizations, or propulsion companies.
- Hands-on experience with CFD, FEA, aeroelasticity, multidisciplinary design optimization (MDO), or certification-relevant analysis.
- Familiarity with integrating AI-driven simulation into aerospace engineering and certification workflows.
- Active or obtainable U.S. security clearance for engagements involving cleared aerospace customers.
Important Eligibility Requirement:
Candidates must qualify as a U.S. Person under applicable export control regulations. This includes U.S. citizens, lawful permanent residents (Green Card holders), and other qualifying protected individuals.
An active or obtainable security clearance is preferred for certain customer engagements but is not required for the position.
Why This Opportunity?
Join a team working at the intersection of aerospace engineering, advanced simulation, and Physics AI.
You'll have the opportunity to work on challenging engineering problems, collaborate directly with aerospace customers, and help shape how next-generation engineering technology is developed and deployed.