Senior Software Engineer - Sensor Systems, Robot Software
$176.5k - $260kFull-time
Wayve
About Us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! 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.
- Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization
- Automotive Sensor Expertise: Experience working with automotive sensors and technologies like camera, LiDAR, radar, or localization systems (IMU, GNSS)
- Linux Expertise: Familiarity with embedded Linux, build systems, and/or user space applications.
- IPC Middleware Knowledge: Strong understanding of how to optimally use and configure IPC middleware for high data throughput robotics applications on frameworks such as ROS or other automotive middleware
- Distributed Systems Understanding: Knowledge of how distributed systems operate, either in cloud or robotics systems, and how to make these types of systems more scalable and performant.
- Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.
- Autonomous Systems: Experience with robotics, autonomous systems, or other real-world sensing applications
- Embedded Environments: Experience with developing software for embedded Linux systems, real-time operating systems such as QNX, and/or other automotive SoCs
- Networking: Knowledge of networking fundamentals, including UDP/TCP, ethernet-based communications and debugging network bottlenecks in high-data-rate systems
- Background: 5+ years of experience, with a Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Advanced degrees are a plus.
Vacancy posted 4 days ago
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