Salary
💰 $120,000 - $165,000 per year
Tech Stack
CloudDistributed SystemsGoJavaPython
About the role
- Build real-time, in-vehicle systems that ensure the AV operates safely and efficiently in its environment.
- Develop a high-performance, highly reliable data transport framework, and enhance the logging infrastructure to support robust data collection.
- Develop a real-time communication service framework between embedded devices and the host computer, enhancing the real-time troubleshooting capabilities of the in-vehicle system.
- Develop cloud-based and backend systems that support the AV fleet, as well as create intelligent tools for our developers.
- Design and develop new features to continuously optimize computational performance, and create tools to assist other teams by proactively informing developers of potential performance issues.
- Build services and infrastructure bridging machine learning and distributed systems, while evaluating database-related changes submitted by other engineers or community contributors.
- Work closely with other engineering teams and business groups to develop comprehensive end-to-end solutions.
- Optimize for efficient model deployment, enhance the machine learning workflow, and build and support large-scale model evaluation systems.
- Develop high-performance GPU/CPU kernels by utilizing low-level hardware features and knowledge of performance characteristics.
- Build a model conversion, evaluation, and management system.
- Develop and sustain scalable and high-performance infrastructure for training, optimizing, and deploying machine learning models.
- Work with multiple algorithm teams and optimize efficient algorithms for self-driving vehicles.
Requirements
- Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, or a related technical field, or equivalent practical experience, with an expected graduation date between December 2025 and June 2026.
- Proficient in C++ and/or Python, Java, Go with knowledge of its latest features.
- Have good programming practices, adhere to coding standards, and follow test-driven development.
- Strong analytical and problem-solving skills.
- Excellent communication, and cross-functional team collaboration abilities.
- Passion for innovation in the autonomous vehicle industry.