Software Engineer
Waabi
Software Engineer
Waabi
Autonomous trucking software licensing to OEMs
As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology. The Labelling & Data Automation team plays a critical role in Waabi’s training pipeline. We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
You will..
Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected
Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system
Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects
Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement
Deploy open-set / embedding models to our production environment - empowering new search and curation modalities
Champion engineering excellence, ensuring high-quality, well structured, and tested code.
Contribute to project roadmap planning, prioritization, and delivery.
Qualifications:
4+ years of industry experience.
Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
A willingness and ability to learn new skills, technologies, and software libraries as required.
Strong experience with data pipelines for large-scale processing and analysis.
Strong communication and organizational skills
Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
Open-minded and collaborative team player with the willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
Previous experience in self-driving technology or related fields.
Familiar with linear algebra (projections, transforms) and 3D geometry.
Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).
Experience with with front end development.
Experience working with open-set / embedding models and deploying them in a production setting.
Experience working with infra as code (Terraform, CloudFormation, etc).
The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Waabi develops autonomous trucking technology. Its flagship Waabi Driver is a self-driving system that can be trained to make decisions, apply learned skills to new routes and terrains, and work with different hardware setups. A key part of its approach is Waabi World, a sophisticated simulation environment that lets the system be trained and tested virtually, reducing real-world driving miles, lowering costs, and increasing safety. The company licenses this technology to trucking fleets and OEMs for factory-level integration, aiming for large-scale commercialization. What sets Waabi apart is its emphasis on end-to-end training, geography and hardware adaptability, and its strong leadership in AI and self-driving research. Its goal is to bring safe, affordable autonomous trucking to scale by licensing the Waabi Driver to industry players and enabling widespread deployment.
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