Senior Delivery Engineer

About the company

Our client is a software company.

The role

Raydar is recruiting for this role on behalf of our client. Lead customer-facing engineering delivery for aerospace engagements, owning outcomes from scoping through deployment while coordinating a cross-functional team and acting as both project and product lead.

What you'll do

- Carry full responsibility for results on aerospace engagements, both new and ongoing, from problem framing and model building through rollout and integration into client engineering practice.

- Write statements of work, set out the engagement plan for customers, and remain accountable for delivery against it.

- Lead a matrixed team of applications engineers, machine learning scientists, data and platform engineers and product engineers, setting technical direction, sequencing work and clearing blockers.

- Run sprints, milestones and risk management while also helping choose use cases and shaping what to build next.

- Stay hands-on with troubleshooting model behavior, reworking data flows and building out integration prototypes.

- Work side by side with clients to co-develop applications, passing on expertise and earning confidence through transparent joint work.

- Partner with sales and account teams on new engagements, handoffs to delivery and account growth.

- Feed market and customer insight back to product and research teams to inform the roadmap for aerospace use cases.

Requirements

What we're looking for

- Solid technical foundation in physics simulation applied to flight vehicles, covering fluid flow, structures, airflow behavior, fluid-structure interaction or design optimization across disciplines.

- Track record of directing technical work or running a customer account from initial scoping to completion, or presenting proposals to senior internal decision makers.

- Experience in aerospace manufacturing, eVTOL, space, propulsion, defense or engineering software.

- Clear communication of project status, progress and challenges to stakeholders.

- Eligibility as a U.S. person, meaning a citizen, lawful permanent resident or protected individual, is mandatory because of defense and export rules.

Bonus points

- Experience with physics-based AI or AI surrogate modeling.

- A technical degree at master's or doctoral level in an aerospace or mechanical discipline is a plus.

Benefits

Compensation and benefits

- Base salary: USD 165,000 to 295,000 per year

- Equity

- Health, dental and vision coverage

- Flexible time off

- Retirement plan

Location and work model

- San Mateo, CA, United States

- On-site preferred, with remote candidates considered

- Up to 5 days a week in office preferred

- 10 to 25% travel to customer sites

- Full-time