What are the responsibilities and job description for the Staff Embedded Software Engineer position at Stealth Startup?
Aerospace & Defense startup currently in Stealth based in El Segundo, made up of former SpaceX, Anduril, and Lockheed engineers, applying the SpaceX model to mass produce life-saving systems. Backed by joint staff level military leadership and several major SV firms, their first product is designed for immediate deployment around the world.
Job Overview:
We are seeking a skilled Embedded Software Engineer. You will design and implement software for embedded aerospace systems. This role will be responsible for the design, development, and testing of critical aerospace systems software for rapid deployment and testing on a novel platform.
Key responsibilities:
- Develop and implement embedded software for fault detection, guidance, navigation, and flight control systems
- Optimize software for real-time performance
- Integrate and test algorithms and software at module, software in the loop, hardware in the loop, and system level testing
- Manage configurations on embedded devices, specifying how hardware will interface with software
- Drive complete software integrations from inception to completion
- Contribute to software system architecture and design for a greenfield project
- Contribute to computer vision software
- Own projects through their entire life cycle
Qualifications:
- High proficiency in embedded C/C or equivalent systems language
- 10 years of experience in embedded systems design
- Familiarity with communication protocols like I2C, CAN, SPI, UART
- Experience with low-level hardware driver implementation
- Understanding of Control and Estimation theory, and autonomous sensors and integration
- Strong interpersonal and communication skills, with the ability to work in a cross-functional team environment.
Preferred Skills:
- Understanding of missile GNC, aerodynamics, flight dynamics and controls
- Understanding of computer vision, perception, filtering, and estimation techniques
- High proficiency in Python and/or Rust
- Experience with embedded Linux
- Experience with complex computer vision tasks
