Manager, Applied Computing
SpaceX · Hawthorne, CA · Application Software
About this role
SpaceX is hiring a manager-level Engineering Manager in the software engineering function based in Hawthorne, CA. The posting calls out experience with System Design, Testing, ETL, Machine Learning. Compensation is listed at $190,000–$245,000 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Hawthorne, CA
- Department
- Application Software
More roles at SpaceX
Job description
from SpaceX careersSpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
MANAGER, APPLIED COMPUTING
As a Manager in Applied Computing, dedicated to enterprise AI, you will own the initiative focused on leveraging artificial intelligence to enhance SpaceX's internal systems, processes, and workflows for different programs. This role is critical for accelerating the output of existing teams and programs by integrating AI solutions that optimize efficiency, automate complex tasks, and drive innovation in a fast-paced environment. You will serve as a key technical leader, collaborating across departments to identify AI opportunities, develop scalable integrations, and ensure end-to-end success in boosting productivity for mission-critical operations.
An ideal candidate has a strong technical background in AI/ML development and integration, with proven leadership experience across program lifecycles. We are looking for managers who enjoy solving complex problems, can work effectively in a high-paced dynamic environment, and are passionate about advancing the space industry through process improvement and system design.
RESPONSIBILITIES:
- Key technical leader in all phases of AI integration from initial opportunity identification through successful deployment, testing, optimization, and ongoing maintenance.