Electrical Design Engineer (Raptor Avionics)
SpaceX · Hawthorne, CA · Raptor Avionics - Engineering
About this role
SpaceX is hiring a mid-level Hardware Engineer in the software engineering function based in Hawthorne, CA. The posting calls out experience with Python, Testing, Automation, Data Analytics. Compensation is listed at $105,000–$120,000 per year.
- Role
- Hardware Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Hawthorne, CA
- Department
- Raptor Avionics - Engineering
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.
ELECTRICAL DESIGN ENGINEER (RAPTOR AVIONICS)
The Raptor Avionics team is responsible for delivering all electrical control and sensing hardware for Raptor, the world's most advanced rocket engine. As an Electrical Engineer on the Raptor Avionics team, you will have the unique opportunity to explore all areas of a product’s life cycle: requirements definition, development, qualification, production, launch, and reuse. In addition to serving as the extreme owner of the product over the course of its life, you will be expected to analyze and troubleshoot electronic assemblies, define new processes, design and analyze robust, efficient circuits, and identify opportunities for improvement in both products and processes. You will have the opportunity to own a wide variety of components that enable SpaceX vehicles to provide the safest and most reliable access to space.
The nature of this position requires someone who is interested in a multidisciplinary organization, working with a range of technologies including electronics, high pressure hardware, and electromechanical actuators. Additionally, this person must have a strong desire to apply data analytics to drive continuous improvement across the organization.