Senior Software Engineer, AI
Fieldguide- Full Time
- Senior (5 to 8 years)
Candidates should possess 2+ years of industry experience and a Bachelor’s degree in computer science, engineering, machine learning, or a related technical discipline. They must be proficient in Python programming and demonstrate strong software engineering fundamentals, including writing high-quality, well-structured, and well-tested code. Strong experience with data pipelines for large-scale processing and analysis, along with understanding of cloud job orchestration, monitoring, and instrumentation best practices, are also required.
As a Software Engineer, the individual will design and implement tools, pipelines, and metrics to accelerate the development of the AI-first autonomy system and generative AI simulator. They will drive the end-to-end process of building high-quality training datasets, spanning data curation, labeling, training, evaluation, and visualization. The role involves coordinating with multiple teams to deliver tailored, efficient data solutions for model development, championing engineering excellence, and assisting in project roadmap planning, prioritization, and delivery.
Develops self-driving technology for trucking
Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.