Salary Range: 120000 to 165000 (Currency: USD) (Pay period: per-year-salary)

What you will do:

• 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 creating 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, 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 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

Qualifications:

• 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 2024 and June 2025.
• 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.

Bonus Points:

• Experience with field robotics and systems design
• Experience with distributed systems, possesses design and debugging skills for complex system software, familiar with common design patterns and architectural trade-offs
• Familiar with OS kernel and low-level system and computer architecture understanding
• Familiar with GPU architecture