Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
Lead and contribute to robotics and computer vision projects which ensure that accurate and low-latency state information is available to the running self-driving software at any given moment.
Own and shape a key component of Waabi’s state estimation software, which includes identifying requirements, defining deliverables, and formulating meaningful milestones for the entire process.
Develop projects such as online and offline localization, global localization, state bootstrapping.
Develop robust deep-learning observation models that work in the most challenging environments.
Develop novel methods capable of running on real-world hardware, leveraging a wide range of state-of-the-art sensors while ensuring robustness, stable long-term operation, and efficiency.
Develop and maintain rigorous metrics & evaluation pipelines to monitor the evolution of key localization metrics over time.
Work closely with a wide range of teams ranging from mapping to motion planning and control.

Requirements

Bachelors or Masters/PhD in Computer Science, Engineering, Machine Learning, or Robotics OR a minimum of 4 years of industry experience in this field or in similar technical fields of study.
Demonstrated software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
Proficient in reading and writing safe and performant Python and a high-performance language such as C++ or Rust.
Open-minded and collaborative team player with willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
Experience writing high-performance real-time software in Rust.
Experience with mapping and localization algorithms (SLAM, Visual Odometry, Global Retrieval, Feature Matching, etc)
Experience working with GPS, IMU, RTK and/or other state measuring hardware.
Experience with existing deep learning tooling (e.g., TensorFlow, PyTorch, Jax)
Experience with cloud platforms (e.g., AWS/Azure/Google Cloud).
Interest and experience with geospatial systems (QGIS, ArcGIS) and 3D geometry.
Experience working in an Agile/Scrum environment.
Experience with large-scale optimization software such as Ceres or SymForce.

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!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++Rustdeep learninglocalization algorithmsSLAMVisual OdometryTensorFlowPyTorchAgile

Soft Skills

collaborativeteam playerproblem-solvinginnovativeopen-minded

Certifications

Bachelors in Computer ScienceMasters in Computer SciencePhD in Computer ScienceBachelors in EngineeringMasters in EngineeringPhD in EngineeringBachelors in Machine LearningMasters in Machine LearningPhD in Machine LearningBachelors in Robotics