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Automotive Full-stack SW Engineer
| Company | Woven |
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| Location | Palo Alto, CA, USA |
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| Salary | $112000 – $184000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- M.S. in Computer Science, Robotics or related field and 5 years of industry experience, or at least 10 years of equivalent experience.
- Strong skills in C#, C++, Python, and development tools in Linux.
- Experience developing graphical interface and 3D simulation using Unity/OpenGL/Qt.
- Strong understanding of networking, network protocols, and Linux server administration.
- Experience working in automotive HMI SW development
- Experience working and processing sensor data (i.e. LIDAR, Radar, Camera, etc.) in an automotive context
- Experience with communication busses (i.e. CAN, LIN, websockets, others.)
- Good software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.
- Experience working on an Agile environment and with Agile methodology
- Excellent organizational skills
- Excellent and direct communications skills
- Ability to prioritize and convey rationale for prioritization to other stakeholders
- Team player, must work well within a team environment
Responsibilities
- Work with HMI researchers to build tooling and help develop experiment software for both in the simulation and in research vehicles.
- Work with system engineers to architect flexible software implementations.
- Work with autonomous-driving engineering teams, negotiate APIs and integrate vehicle information into interfaces.
- Work with front-end developers, create software interfaces for new hardware.
- Develop functional user interfaces, deriving requirements from designers, regulation, and engineering.
Preferred Qualifications
- Experience developing Autosar compatible software applications
- Basic understanding of system design and debugging.
- Previous experience working on large software projects.
- Experience in automotive HMI or human factor related projects.
- Basic knowledge of machine learning algorithms, computer vision, point cloud processing, motion/path planning algorithms, control theory.
- Experience developing SW that interfaces with hardware (e.g., haptic steering wheels, motors, or other actuators)
