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Lego Designer Jobs in California (NOW HIRING)

Adapture Renewables

O&M Manager

Oakland, CA · On-site

$130K - $133K/yr

... the LEGO ® brand through generations, including making the world a better place for the LEGO ... Review future project designs for O&M assessment and feedback. * Coordinate procurement of parts ...

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All JobsLego Designer JobsLego Designer Jobs in California

Lego Designer information

See California salary details

$21.2K

$64.6K

$110.5K

How much do lego designer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for lego designer in California is $64,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $83,900.00 per year, depending on experience, location, and employer.

What is a Lego designer?

A Lego Designer is responsible for creating new LEGO sets and models by designing and prototyping builds using LEGO bricks and digital tools. They work as part of a creative team to develop themes, play features, and instructions that align with LEGO’s brand and standards. Designers use their creativity, technical knowledge, and problem-solving skills to bring innovative and fun products to market.

What are the key skills and qualifications needed to thrive as a Lego designer?

To thrive as a Lego Designer, you need a strong background in design, creativity, 3D modeling, and a relevant degree in industrial design, architecture, or a related field. Familiarity with digital design tools such as LEGO Digital Designer (LDD), Autodesk Maya, or similar CAD software is commonly required, along with experience in prototyping. Strong communication, teamwork, and problem-solving abilities help set top candidates apart in collaborative environments. These skills enable Lego Designers to create innovative, buildable models that meet brand standards and engage customers worldwide.

What does a typical workday look like for a Lego designer?

A typical day for a Lego Designer involves brainstorming ideas, sketching concepts, and developing 3D models using specialized digital design software. Designers often collaborate closely with other team members, including fellow designers, engineers, and marketing professionals, to refine models and ensure playability and safety standards are met. Regular meetings, prototype building, and iterative testing are also part of the process. This collaborative and creative work environment helps bring exciting new Lego products from concept to shelf.

How do you become a Lego Designer?

To become a Lego Designer, candidates typically need a background in art, design, or engineering, along with strong creativity and building skills. Experience with 3D modeling software and a portfolio of creative work are often required, and applicants usually go through a competitive interview process. A passion for Lego products and the ability to work collaboratively are also important factors.

How much money does a Lego designer get?

Lego designers typically earn between $50,000 and $80,000 annually, depending on experience and location. Entry-level designers may start at lower salaries, while experienced professionals or those in senior roles can earn higher wages. The role often requires creativity, proficiency with design software, and a strong portfolio.

What are the most commonly searched types of Lego Designer jobs in California?

The most popular types of Lego Designer jobs in California are:

What are popular job titles related to Lego Designer jobs in California?

For Lego Designer jobs in California, the most frequently searched job titles are:

What job categories do people searching Lego Designer jobs in California look for?

The top searched job categories for Lego Designer jobs in California are:

What cities in California are hiring for Lego Designer jobs?

Cities in California with the most Lego Designer job openings:

Lego Designer jobs near you
Infographic showing various Lego Designer job openings in California as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $64,587 per year, or $31.1 per hour.

Principal Engineer, Mapping and Localization

PlusAI

Santa Clara, CA • On-site

$200K - $260K/yr

Full-time

Retirement

Re-posted 22 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

As a Principal Engineer on our Mapping and Localization team, you will design and implement high-fidelity fusion algorithms that combine LiDAR, Radar, Camera, IMU, and GNSS data with HD Maps to achieve centimeter-level accuracy. You will tackle the hardest edge cases-from GPS-denied tunnels to dynamic construction zones-ensuring our vehicles operate safely in complex L4 ODDs (Operational Design Domains).
Responsibilities:
  • Lead the design and evolution of our localization architecture, making critical build-vs-buy decisions and defining long-term technical roadmaps.
  • Design and implement robust, real-time algorithms for sensor fusion, visual/LiDAR odometry, and global localization using techniques like Factor Graphs, EKF/UKF, and particle filters.
  • Develop pipelines to generate, maintain, and query High-Definition (HD) maps.
  • Work on "priors-based" localization and semantic map matching.
  • Solve the "stale map" problem by designing systems for change detection. You will use fleet data to identify construction zones, lane shifts, or new signage and update the map in near real-time. Maintain and continuously update large-scale LiDAR-based HD maps to support autonomous driving systems.
  • Optimize code for embedded compute constraints (latency, memory, and power) without sacrificing safety or accuracy.
  • Provide self diagnosis capability for localization
  • Act as a technical mentor to senior and junior engineers, conducting rigorous code reviews and fostering a culture of engineering excellence.
Required Skills:
  • M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 7+ years of industry experience in robotics, with at least 4 years dedicated to production-level localization or mapping systems.
  • Expert-level Modern C++ (14/17/20) skills, with a deep understanding of memory management, multi-threading, and real-time systems.
  • Strong theoretical foundation in probabilistic robotics, including Kalman Filtering (EKF, UKF), nonlinear optimization (Ceres, g2o, GTSAM), and SLAM.
  • Deep understanding of 3D geometry, linear algebra, and coordinate transformations (quaternions, SE(3)).
  • Familiarity with Eigen, Ceres, PCL, OpenCV, GTSAM
Preferred Skills:
  • Experience shipping localization stacks for deployed autonomous vehicles or mobile robots.
  • Hands-on experience with LOAM, lego-LOAM, ORB-SLAM, or VINS.
  • Experience with CUDA/GPU programming or optimization for ARM-based embedded platforms.
$200,000 - $260,000 a year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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