ashby
Senior Software Engineer - Sensor Systems, Robot Software
Wayve
Sunnyvale, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 176500-260000 yearly / year
Discovered 1 weeks ago
C++LinuxROSQNXUDPTCP
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C++LinuxROSQNXUDPTCP
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The role
In this role, you will have the opportunity to work with Wayve’s next-generation innovative compute and sensor platform, as well as contribute to all phases of the software development lifecycle.
As a member of the Robot Software team, you will collaborate with your team to deliver software for edge devices to provide data and enable autonomy on a large fleet of vehicles. A key responsibility will be to ensure that the software you deliver runs reliably at scale. You will also work closely with our Embodied AI and Science organisations to ensure they have the data and interfaces they need to train models, run experiments and get feedback on driving performance.
Key Responsibilities
- Software Development: Build and deliver software in C++ with high quality and reliability. Create software which is observable and debuggable when running on a device 2000 km away and with limited connectivity.
- Sensor Integration and Data Capture: Build software to enable full sensor integration and data capture and streaming at the scale and quality necessary for a fully autonomous vehicle.
- Real-Time System Management: Deliver and maintain soft-real-time Linux-based applications to a fleet of embedded devices on automobiles, including data collection and storage, as well as machine learning inference on the edge.
- Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
- Performance Monitoring: Design, implement, and use system monitoring tools to improve performance and resolve both ad hoc and systemic issues.
- Collaborate with technical and business stakeholders: Work with cross-functional global teams including Hardware, Product, Project, and Engineering management to advise and build the right solution
- Drive a strong engineering culture: Lead by example as you demonstrate best practices for: testing, documentation, ease-of-use, technical (and non-technical) tooling, mentorship, and collaboration.
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