About The Position

As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.

Requirements

  • BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.
  • Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Hands-on experience building distributed ETL and data processing pipelines.
  • Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.
  • Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.
  • A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.

Nice To Haves

  • Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.
  • Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).
  • Experience solving data challenges specific to autonomous driving.
  • Familiarity with linear algebra (projections, transforms) and 3D geometry.

Responsibilities

  • Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.
  • Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.
  • Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.
  • Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.
  • Help drive project roadmap planning, prioritization, and delivery.

Benefits

  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve!
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