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Stereo Jobs in California (NOW HIRING)

Production Specialist

Garden Grove, CA · On-site

$16.75 - $22.75/hr

Learn to work with and mechanically manipulate small relay components under 10X-20X stereo magnification using small tools, tweezers, flat shims, and seal force gram gauges. * Learn to operate relay ...

Optometric Technician (Ukiah)

Ukiah, CA · On-site

$17 - $21.25/hr

Perform preliminary ophthalmic and optometric testing, including visual acuity, tonometry, auto-refraction, auto-keratometry, color vision, and stereo acuity testing. * Conduct diagnostic testing ...

... Stereo Vision * - Camera Calibration / Depth Estimation Qualifications Education and Experience * - Required: Master's degree in Computer Science or Electrical Engineering plus 2 or more years of ...

Optometric Technician

Ukiah, CA · On-site

$17 - $21.25/hr

Perform preliminary ophthalmic and optometric testing, including visual acuity, tonometry, auto-refraction, auto-keratometry, color vision, and stereo acuity testing. * Conduct diagnostic testing ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo). * Experience with data annotation tools, dataset management, and augmentation techniques. * Familiarity ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... stereo). • Experience with data annotation tools, dataset management, and augmentation techniques. • Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time ...

Optometric Technician

Ukiah, CA · On-site

$25 - $31/hr

Perform preliminary ophthalmic and optometric testing, including visual acuity, tonometry, auto-refraction, auto-keratometry, color vision, and stereo acuity testing. * Conduct diagnostic testing ...

Optometric Technician

Ukiah, CA · On-site

$25 - $31/hr

Perform preliminary ophthalmic and optometric testing, including visual acuity, tonometry, auto-refraction, auto-keratometry, color vision, and stereo acuity testing. * Conduct diagnostic testing ...

Showing results 41-60

Stereo information

See California salary details

$9

$18

$30

How much do stereo jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for stereo in California is $18.58, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $22.60 per hour, depending on experience, location, and employer.

What is a stereo?

Stereo technicians are professionals who specialize in the installation, maintenance, and repair of stereo systems, which can include home audio equipment, car audio systems, and professional sound systems. They have expertise in audio electronics, wiring, troubleshooting sound issues, and ensuring optimal sound quality. Stereo technicians may work in retail, repair shops, or as independent contractors, and often advise customers on the best equipment for their needs. Their work is essential for anyone looking to achieve high-quality sound in various settings.

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

To thrive as a Stereo Engineer, you need a solid understanding of audio engineering principles, acoustics, and recording techniques, typically supported by formal training or a relevant degree. Familiarity with digital audio workstations (DAWs), mixing consoles, and specialized software like Pro Tools or Logic Pro is essential. Strong attention to detail, creativity, and effective communication with artists and producers are valuable soft skills in this role. These skills ensure the delivery of high-quality stereo sound experiences, meeting both technical standards and artistic vision.

What are the most common challenges faced by stereo artists in post-production environments?

Stereo artists often encounter challenges such as managing tight deadlines while ensuring high-quality depth and dimensionality in visual effects. They must frequently collaborate with VFX supervisors, compositors, and editorial teams to align on creative vision and technical requirements. Additionally, maintaining consistency across shots and troubleshooting technical issues related to stereo alignment and convergence are common. Adapting quickly to evolving software tools and feedback is also essential for success in this fast-paced role.

What is the difference between Stereo vs Audio Technician?

AspectStereoAudio Technician
Required CredentialsHigh school diploma, basic audio knowledgeHigh school diploma, technical training or certification in audio
Work EnvironmentHome studios, consumer electronicsConcerts, recording studios, broadcast facilities
Industry UsageConsumer audio, personal entertainmentProfessional audio production, live events
Common Search/ComparisonFocuses on stereo sound systemsFocuses on professional audio setup and maintenance

While both roles involve audio, a Stereo typically refers to a sound system or the quality of stereo sound, often in consumer settings. An Audio Technician works professionally with audio equipment, including setup, maintenance, and troubleshooting in live or studio environments. The main difference lies in the scope: Stereo is more about sound quality and systems for personal use, whereas Audio Technicians handle technical aspects in professional settings.

What are popular job titles related to Stereo jobs in California?

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

Infographic showing various Stereo job openings in California as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 27% Part Time, 5% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $38,646 per year, or $18.6 per hour.

Staff Software Engineer - Machine Learning

Hivemapper

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

Hivemapper is a decentralized global mapping data network built by 10s of thousands of people. At any given time, many 1000s of dashcams are collecting high-quality sensor data somewhere in the world and performing various computations at the edge, including state of the art computer vision tasks. 1000s of other contributors participate as AI Trainers, annotating and confirming the output of ML models. 2024 will see us 10x the number of contributors to the network.

High-resolution imagery, GNSS, IMU, and other data, are then promptly uploaded for further processing and analysis (sensor fusion, 3D reconstruction, ML, human-in-the-loop annotation, etc.). Today, different data API products allow transparent and programmatic access for anyone to consume high-resolution imagery and sensor data, precisely extracted Map Features (speed signs, turn restrictions, highway signs, etc.). New data products for traffic, construction detection and more will become available later this year.

Enterprise tech, mapping companies, robotaxis, rideshares, and real estate analysts represent just a few of the customers consuming data today. Our work is fast-paced, collaborative, and data-driven. We focus on solving hard problems, and we invest in our rapidly growing team and the tech to do so. 

Computer Vision @ Hivemapper 

We work on a variety of computer vision problems at the edge as well as in large compute clusters. These span object detection and stereo depth mapping to feature detection and matching, 3D reconstruction, image classification, OCR, and other general sensor fusion techniques.
We solve the problem of distilling large volumes of standardized signals into highly accurate and precise insights.

Responsibilities
  • Help shape the CV strategy touching the full mapping stack, all the way from hardware to data insights
  • Balance the state of the art and bleeding edge with practicality; produce production-grade ML solutions trained on a huge corpus of standardized data that are efficient w.r.t cost and performance
  • Integrate ML solutions with our production systems; at the edge and in large offline clusters
Qualifications
  • Demonstrated expertise in building ML solutions, including training and deploying models, as well as integrating them into production software systems
  • Hands-on experience with Image Processing and Computer Vision: Object Detection, Classification, Tracking, Localization, 3D Reconstruction, Vector embeddings, etc.
  • Hands-on experience with general ML and Data Mining: Clustering, Predictions, Unsupervised Methods, Ensemble Methods, Graph Optimization, etc.
  • Hands on experience with 3D reconstruction pipelines ( either monocular or stereo)
  • Strong programming and applied math skills (linear algebra, statistics, multivariate optimization)
  • Strong software engineering fundamentals

Nice to haves
  • PhD in Computer Vision or related field
  • Knowledge of distributed compute systems like Hadoop/Spark
  • Experience with a variety of different ML frameworks ( PyTorch, TensorFlow, OpenVINO, ONNX, etc.)
What we offer
  • Medical, dental, and vision benefits including FSA
  • Family leave
  • 401(k) program
  • Unlimited Flex PTO
  • Paid lunch
  • Commuter benefits
Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
Note to Recruitment Agencies: Hivemapper does not accept unsolicited agency resumes. Furthermore, Hivemapper does not pay placement fees for candidates submitted by any agency other than its approved partners.
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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