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Geometric Engineering Jobs in California (NOW HIRING)

Roblox

Senior Software Engineer, UGC Validation

San Mateo, CA · On-site

$139K - $183K/yr

Geometric Processing Resource: Serve as a practical engineering resource for geometric processing, collaborating closely with machine learning teams to enhance asset quality pipelines. * Cross ...

Divergent

Manager, Manufacturing Engineering

Torrance, CA · On-site

$114K - $142K/yr

Proficiency in CAD software (e.g., Siemens NX, AutoCAD) and strong understanding of Geometric ... Master's degree in a relevant engineering discipline. * Lean Six Sigma certification or equivalent ...

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Geometric Engineering information

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$12

$31

$56

How much do geometric engineering jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for geometric engineering in California is $31.14, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $37.50 per hour, depending on experience, location, and employer.

What is geometric engineering?

Geometric engineering is a field that focuses on applying mathematical and computational principles to design, analyze, and optimize the shapes and structures of objects. It involves using geometry, computer-aided design (CAD), and advanced modeling techniques to create efficient and functional products, components, or systems. Geometric engineers often work in industries like automotive, aerospace, architecture, and manufacturing, contributing to improvements in performance, aesthetics, and manufacturing processes.

What are the key skills and qualifications needed to thrive as a geometric engineer, and why are they important?

To thrive as a Geometric Engineer, you need a strong background in mathematics, spatial analysis, and engineering principles, often supported by a degree in civil engineering, geomatics, or a related field. Familiarity with CAD software, GIS platforms, and surveying equipment is typically required, and certifications like Professional Engineer (PE) or Certified Survey Technician (CST) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals excel in collaborating with multidisciplinary teams and ensuring precision in project execution. These skills and qualifications are crucial for delivering accurate designs, optimizing project outcomes, and maintaining safety and compliance in engineering projects.

What are some common challenges faced by geometric engineers when collaborating with multidisciplinary teams?

Geometric engineers frequently work alongside professionals from civil, mechanical, and software engineering backgrounds. A common challenge is ensuring that geometric designs integrate seamlessly with other technical requirements, such as structural integrity or manufacturing constraints. Effective communication and a strong understanding of both geometric principles and the broader project goals are essential. Regular cross-team meetings and the use of shared digital modeling tools help address these challenges and facilitate smooth collaboration.

What is the difference between Geometric Engineering vs Civil Engineering?

AspectGeometric EngineeringCivil Engineering
Required CredentialsBachelor's or Master's in Geomatics, Geotechnical, or Civil Engineering; certifications in surveying or GISBachelor's or Master's in Civil Engineering; PE license often required
Work EnvironmentField surveys, construction sites, GIS labsConstruction sites, urban planning, infrastructure projects
Industry UsageSurveying, mapping, geospatial analysisBuilding, transportation, water resources, infrastructure

Geometric Engineering focuses on surveying, mapping, and geospatial data, often working in field environments. Civil Engineering covers a broader range of infrastructure projects, including design and construction. While both roles require engineering degrees and involve site work, Geometric Engineering specializes in spatial data and surveying techniques, whereas Civil Engineering emphasizes structural design and project management.

What does a geometric engineer do?

A geometric engineer designs, analyzes, and optimizes geometric aspects of engineering projects, often using CAD software and mathematical principles. They work in fields like manufacturing, aerospace, or civil engineering to ensure precise measurements, spatial accuracy, and efficient layouts. Strong skills in geometry, computer-aided design, and problem-solving are essential for this role.

What are popular job titles related to Geometric Engineering jobs in California?

For Geometric Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Geometric Engineering jobs in California look for?

The top searched job categories for Geometric Engineering jobs in California are:

Geometric Engineering jobs near you
Infographic showing various Geometric Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $64,765 per year, or $31.1 per hour.

Principal Machine Learning Engineer, Geometric Vision

Wayve

Sunnyvale, CA • On-site

Full-time

Posted 17 days ago

Job description

The role
As a Principal Engineer on the Model Foundations team you will build the geometric vision and 3D foundation models that underpin our autonomous driving systems.You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics, developing models that learn 3D structure and dynamics from fleet-scale sensor data.
You will be a hands-on technical leader. You will set direction for geometric vision, prototype and train new model architectures, build the data and supervision needed to scale them, and take successful ideas through to deployment on real vehicles.
Key responsibilities
  • Design and train 3D foundation models and world models using large-scale driving data.
  • Develop model architectures for 3D perception, geometric reasoning, reconstruction, and world modeling across space and time.
  • Build scalable data generation and auto-labeling pipelines that produce high-quality geometric supervision from large volumes of sensor data.
  • Develop and scale offline SLAM and 3D reconstruction systems and pipelines, using large-scale sensor data to recover accurate trajectories, scene geometry, calibration signals, and geometric supervision for model training and evaluation.
  • Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit 3D representations, and feedforward 3D modeling.
  • Explore geometry-aware tokenization and representation learning, including efficient ways to encode and fuse information across cameras, viewpoints, time, and sensing modalities.
  • Develop foundation vision models that make effective use of camera, radar, LiDAR, and other sensor data for learning rich representations of the physical world.
  • Explore video and generative modeling approaches for learning scene structure, dynamics, and future evolution from driving data.
  • Train and evaluate models at scale on distributed compute, rapidly iterating on architectures, objectives, data, and training recipes.
  • Develop automated evaluation and ground-truth systems for measuring geometric consistency, reconstruction quality, 3D understanding, and downstream driving performance.
  • Optimize and deploy models into production autonomous-driving systems, working across model architecture, inference, and onboard constraints.
  • Set technical direction for geometric vision at Wayve and work closely with researchers and engineers across foundation models, perception, simulation, data, sensing, and deployment.
About you
In order to set you up for success as a Principal Machine Learning Engineer, Geometric Vision at Wayve, we're looking for the following skills and experience.
Essential
  • Deep expertise in 3D computer vision, geometric vision, or 3D machine learning, with experience in areas such as multi-view geometry, neural rendering, reconstruction, implicit representations, or world modeling.
  • Strong experience designing, training, and evaluating modern deep-learning models at scale, using PyTorch or a comparable framework.
  • Strong mathematical and technical foundations in geometry, linear algebra, probability, optimization, and 3D transformations, combined with excellent software engineering skills in Python and C++
  • A track record of taking difficult research problems from idea to working system, including building large-scale data, training, evaluation, or deployment pipelines.
  • Principal-level technical leadership: the ability to identify high-leverage problems, set research and engineering direction, make strong architectural decisions, and raise the technical bar across teams.

Desirable
  • 3D and geometric vision: multi-view geometry, dense 3D reconstruction, neural fields, NeRFs, Gaussian Splatting, or feedforward 3D models.
  • Foundation and world models: large-scale vision pre-training, self-supervised learning, video models, generative models, or learned scene dynamics.
  • Geometric data engines: offline SLAM, structure-from-motion, reconstruction, calibration, auto-labeling, and large-scale ground-truth generation.
  • Multimodal perception: learned representations and fusion across camera, radar, LiDAR, and other sensing modalities.
  • Production ML systems: distributed training, large-scale experimentation, and deploying neural networks on real-time, resource-constrained hardware.

This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $ 407,330 to $ 460,020 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

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