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Traffic Sign Jobs in California (NOW HIRING)

XPENG

Staff Machine Learning Engineer

Santa Clara, CA · On-site

Develop and improve traffic sign detection models for autonomous driving perception systems. * Investigate and Experiment DETR/Transformer-based TSR models for accurate and stable/robust traffic sign ...

XPENG

Staff Machine Learning Engineer

Santa Clara, CA · On-site

Develop and improve traffic sign detection models for autonomous driving perception systems. * Investigate and Experiment DETR/Transformer-based TSR models for accurate and stable/robust traffic sign ...

Yunex Traffic

Traffic Signal Technician

Riverside, CA · On-site

Installing, troubleshooting, and repairing CCTV and MVDS units and DMS signs. * Installation of traffic signal, fiber optic and streetlight cable * Receive and follow direction from superintendent(s ...

City of Oceanside

Traffic Signal Technician

Oceanside, CA · On-site

$66K - $87K/yr

The installation, maintenance and repair of City traffic signals, street lighting, flashing beacons, RRFB's, signs, and other assigned traffic control devices; inspects timing, operations, and/or ...

City of El Cajon

City Traffic Engineer

El Cajon, CA

$72.53 - $96/hr

The City Traffic Engineer oversees traffic engineering staff and activities involving traffic signals, signing and striping, roadway lighting, traffic operations, transportation planning and analysis ...

City of El Cajon, CA

City Traffic Engineer

El Cajon, CA · On-site

$72.54 - $88.17/hr

The City Traffic Engineer oversees traffic engineering staff and activities involving traffic signals, signing and striping, roadway lighting, traffic operations, transportation planning and analysis ...

City of Vallejo, CA

Traffic Engineer

Santa Clara, CA · On-site

$145K - $176K/yr

... signs and other traffic control devices and markings; create and maintain complex computerized spreadsheets and databases and apply specialized traffic computer programs and software including ...

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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:

Traffic Sign jobs near you
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.

Staff Machine Learning Engineer

XPENG

Santa Clara, CA • On-site

Full-time

Re-posted 23 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
About the Role
We are looking for a strong Machine Learning Engineer / Computer Vision Engineer to work on Traffic Sign Recognition (TSR) 2D detection for production autonomous driving systems.
 
In this role, you will be responsible for the full lifecycle of TSR model development, including scenario analysis, data preparation, model training, evaluation, optimization, quantization, and deployment. You will work closely with perception, data, infrastructure, and deployment teams to improve traffic sign detection performance across diverse real-world driving scenarios.
 
This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception models from offline training to onboard production systems.
Job Responsibilities
  • Develop and improve traffic sign detection models for autonomous driving perception systems.
  • Investigate and Experiment DETR/Transformer-based TSR models for accurate and stable/robust traffic sign detection across diverse driving scenarios.
  • Analyze TSR-related scenarios and failure cases, including missed detections, false positives, occlusions, small objects, rare signs, region-specific signs, and adverse weather or lighting conditions.
  • Improve VLA models to effectively consume TSR outputs and support traffic-sign-aware instruction following through VLA prompts.
  • Prepare, clean, curate, and analyze training and evaluation datasets for TSR model iteration.
  • Design and execute model training experiments, including data sampling, augmentation, loss tuning, class imbalance handling, and hard-case mining.
  • Build and maintain evaluation pipelines for TSR models, including offline metrics, scenario-based evaluation, regression testing, and error analysis.
  • Collaborate with data teams to define mining strategies for long-tail TSR scenarios and improve dataset coverage.
  • Optimize models for production deployment, including ONNX / TensorRT / quantization / inference acceleration.
  • Work with deployment and platform teams to validate model performance on onboard or edge compute platforms.
  • Track model performance across versions and support continuous improvement through data-model-evaluation feedback loops.
  • Debug issues across the full stack, including data quality, labeling, model behavior, evaluation mismatch, and deployment consistency.
Basic Qualifications
  • Master's, or PhD degree in Computer Science, Electrical Engineering, Robotics, Computer Vision, Machine Learning, or a related field.
  • 3-5 years of strong hands-on experience with computer vision models, especially object detection.
  • Experience with detection architectures such as YOLO, Faster R-CNN, DETR/Deformable DETR, RT-DETR, RTMDet, or similar models.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Solid understanding of object detection training workflows, including dataset preparation, augmentation, loss functions, evaluation metrics, and model debugging.
  • Experience with common detection metrics such as mAP, precision/recall, false positive/false negative analysis, and class-level performance breakdown.
  • Strong data analysis and problem-solving skills.
  • Ability to work cross-functionally with model, data, infrastructure, and deployment teams.
Preferred Qualifications
  • Experience in autonomous driving, ADAS, robotics, or safety-critical perception systems.
  • Experience with traffic sign recognition, traffic light recognition, road object detection, or small-object detection.
  • Familiarity with long-tail scenario mining, hard negative mining, class imbalance handling, and dataset curation.
  • Experience with ONNX, TensorRT, model quantization, C++ inference pipelines, CUDA, or edge deployment.
  • Experience debugging training-to-deployment consistency issues, including preprocessing mismatch, postprocessing mismatch, quantization accuracy drop, or runtime performance bottlenecks.
  • Familiarity with large-scale data pipelines, scenario tagging, or automated data mining workflows.
  • Strong engineering discipline in experiment tracking, reproducibility, regression testing, and model version management.
What Success Looks Like
A successful engineer in this role will:
  • Improve TSR detection performance across both common and long-tail traffic sign scenarios.
  • Build reliable data and evaluation workflows to support fast model iteration.
  • Identify and prioritize high-impact failure modes through scenario analysis and data mining.
  • Deliver deployable TSR models with strong accuracy, latency, and robust tradeoffs.
  • Help establish a scalable data-model-evaluation-deployment loop for production TSR development.
Why Join Us
  • Work on production of autonomous driving perception systems with real-world impact.
  • Own an important perception task that directly affects driving safety, rule understanding, and product quality.
  • Collaborate with strong teams across model development, data, deployment, and vehicle platforms.
  • Gain hands-on experience across the full model lifecycle: from data and training to evaluation, optimization, quantization, and onboard deployment.
 
What do we provide
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $179,400 - $303,600, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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