Principal ML Engineer, Geometric Vision (3D) — Hybrid

Wayve; Sunnyvale (CA); Hybrid; USD 407,000 - 460,000; Full time

Benefits offered by this job

Hybrid work policy

Office in Sunnyvale

Equity package

Job summary

Wayve in Sunnyvale is seeking a Principal Engineer on the Model Foundations team to build 3D foundation models for autonomous driving. You will lead hands-on development at the intersection of large-scale deep learning, geometry, and real-world robotics, guiding architectures and deployment.

You will design 3D perception models, SLAM and reconstruction pipelines, data-generation systems, and scalable training, collaborating with researchers and engineers to deliver production-ready solutions for

Qualifications

• Deep expertise in 3D computer vision or 3D ML.
• Experience designing, training, and evaluating modern DL models at scale (PyTorch or similar).
• Strong foundations in geometry, linear algebra, probability, optimization, and 3D transformations; proficient in Python and C++.
• Track record taking research to working systems with data, training, evaluation, or deployment pipelines.
• Principal-level technical leadership: set direction and raise the technical bar.

Responsibilities

• Design and train 3D foundation models and world models using large-scale driving data.
• Develop architectures for 3D perception, geometric reasoning, reconstruction, and world modeling.
• Build scalable data generation and auto-labeling pipelines for geometric supervision.
• Develop and scale offline SLAM and 3D reconstruction systems and pipelines.
• Train and evaluate models at scale on distributed compute and deploy into production.
• Set technical direction for geometric vision and collaborate across teams.

Skills

3D vision

Model training at scale

Python & C++

Leadership

Tools

PyTorch

Job description

Wayve in Sunnyvale is seeking a Principal Engineer on the Model Foundations team to build 3D foundation models for autonomous driving. You will lead hands-on development at the intersection of large-scale deep learning, geometry, and real-world robotics, guiding architectures and deployment.

You will design 3D perception models, SLAM and reconstruction pipelines, data-generation systems, and scalable training, collaborating with researchers and engineers to deliver production-ready solutions for