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Traffic Sign Jobs in California (NOW HIRING)

Traffic Officer

Santa Ynez, CA · On-site

$18.50/hr

Installs and places road cones, signs, and traffic control materials prior to major events or as needed in order to facilitate traffic flow. * Monitors parking lots and roadways and facilitates ...

Traffic Engineer III

Oakland, CA · On-site

$99K - $136K/yr

Develop traffic signal plans, street lighting plans, ITS design, signing/striping layouts, temporary traffic control plans (TCPs), and PS&E packages using AutoCAD and/or MicroStation. * Apply MUTCD ...

Traffic Engineer

San Diego, CA · On-site

$92K - $125K/yr

Signing and striping plans. * Traffic Impact Analysis (TIA). * Traffic studies and engineering reports. * Transportation planning and design projects. Software & Technical Knowledge Experience with:

Installs and places road cones, signs, and traffic control materials prior to major events or as needed in order to facilitate traffic flow. * Monitors parking lots and roadways and facilitates ...

Distribute traffic control signs and markers along the site in a designated pattern * Manage day-to-day work zone set up, maintenance, tear down, meeting or exceeding customer, state, and company ...

Distribute traffic control signs and markers along the site in a designated pattern * Manage day-to-day work zone set up, maintenance, tear down, meeting or exceeding customer, state, and company ...

Distribute traffic control signs and markers along the site in a designated pattern * Manage day-to-day work zone set up, maintenance, tear down, meeting or exceeding customer, state, and company ...

Senior Traffic Engineer

Irvine, CA · On-site

$112K - $154K/yr

Provide design oversight for the production of roadway, lighting, signing, pavement marking, traffic signals and traffic management system design plans; intersection design; capacity and signal ...

Showing results 41-60

Traffic Sign information

See California salary details

$16

$22

$27

How much do traffic sign jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for traffic sign in California is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $26.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a traffic sign technician, and why are they important?

To thrive as a Traffic Sign Technician, you need knowledge of traffic control standards, experience in sign installation, and typically a high school diploma or equivalent. Familiarity with tools such as power drills, post drivers, and the ability to read engineering or municipal plans is important, and some roles may require a valid driver's license or safety certifications. Attention to detail, problem-solving, and teamwork are critical soft skills for ensuring accuracy and safety on the job. These skills and qualifications are crucial for maintaining proper road signage, ensuring public safety, and complying with legal requirements.

What is the difference between Traffic Sign vs Traffic Signal Technician?

AspectTraffic SignTraffic Signal Technician
Primary RoleInstall, maintain, and repair traffic signs and markingsInstall, troubleshoot, and repair traffic signal systems
Required CertificationsPossibly a driver’s license, safety trainingElectrical certifications, technical training
Work EnvironmentOutdoor, roadways, construction sitesOutdoor, electrical systems, traffic control boxes
Industry UsageMunicipalities, transportation departmentsTransportation agencies, electrical contractors

While both roles involve working on traffic infrastructure, Traffic Sign workers focus on signs and markings, whereas Traffic Signal Technicians specialize in electrical traffic control systems. Understanding these differences helps in choosing the right career path or job search focus within the transportation industry.

What are some common challenges faced by traffic sign installers on the job?

Traffic sign installers often work outdoors in various weather conditions, which can be physically demanding. They may also encounter challenges related to coordinating with local authorities and ensuring that signs are installed according to safety and regulatory standards. Working near active roadways requires strict adherence to safety protocols to minimize risks. Additionally, installers must be able to read and interpret installation plans accurately to ensure proper placement and visibility of traffic signs.

What are traffic signs and what is their purpose?

Traffic signs are visual indicators placed along roads and highways to provide important information, instructions, and warnings to drivers and pedestrians. Their primary purpose is to promote road safety, regulate traffic flow, and ensure that everyone understands the rules of the road. Traffic signs use standardized symbols and colors to communicate messages quickly and clearly, even to those who may not speak the local language. By following traffic signs, road users can help prevent accidents and ensure smoother transportation.

What are popular job titles related to Traffic Sign jobs in California?

For Traffic Sign jobs in California, the most frequently searched job titles are:

What job categories do people searching Traffic Sign jobs in California look for?

The top searched job categories for Traffic Sign jobs in California are:

What cities in California are hiring for Traffic Sign jobs?

Cities in California with the most Traffic Sign job openings:

Infographic showing various Traffic Sign job openings in California as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 32% Part Time, 2% Temporary, and 2% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $47,198 per year, or $22.7 per hour.

Senior Manager, Product - Perception Data

Nvidia

Santa Clara, CA • On-site

$148K - $196K/yr

Full-time

Posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

NVIDIA is developing AI and Accelerated Computing solutions for the Automotive industry. We are looking for a Senior Manager of Product to join our data team and lead a product group. Your core mission is to deeply understand what perception models need to improve - and translate that understanding into high-quality, high-value data annotation strategies that directly drive model performance gains.

This role sits at the intersection of perception research, data engineering, and labeling operations. You will work closely with perception scientists to identify model performance gaps, define annotation requirements, own the data roadmap, and drive end-to-end delivery across labeling vendors and internal teams. The best candidate combines strong product instincts with genuine technical depth in ML data pipelines and perception tasks.

What You'll Be Doing:

  • Develop a deep understanding of how training data impacts perception model performance across tasks including 3D object detection, lane/road structure recognition, traffic sign and traffic light detection, and semantic segmentation.

  • Partner with perception researchers and engineers to translate model capability gaps into concrete data requirements.

  • Own annotation ontology design: define labeling taxonomies, attribute schemas, edge case handling rules, and inter-annotator consistency standards for perception network tasks such as 3D bounding boxes, lane elements, traffic sign/light classification and association.

  • Anticipate how changes in data density, ROI size, and label complexity affect labeling throughput and delivery capacity; provide data-backed forecasts to stakeholders.

  • Collaborate with global engineering and labeling teams to ensure data quality and explore how DNN/LLM/VLM improves the performance of data labeling.

What We Need to See:

  • BS degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).

  • 8+ years of product management experience, with at least 2+ years in a role directly involving ML/AI model development, data pipelines, or training data strategy.

  • Genuine understanding of perception model fundamentals.

  • Strong cross-functional communication skills.

  • 3+ years of experience leading or mentoring a team of product managers, tech leads, or equivalent.

Ways to Stand Out from the Crowd:

  • Fluent in Mandarin Chinese a strong plus (team operates across US and China time zones).

  • Direct experience in autonomous driving, robotics, or ADAS product development

  • Familiarity with 3D reconstruction, SLAM, NeRF, LiDAR point cloud annotation, and multi-sensor fusion.

  • Exposure to model-in-the-loop, human-in-the-loop, auto labeling, or VLM labeling.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forwardthinking and hardworking people in the world working for us. If you're passionate about AI, data, defining what the model can and cannot learn, and enabling worldclass AI models with highquality data, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993