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Senior Computer Vision Jobs in California (NOW HIRING)

Pano

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

... senior technical contributor. What you'll do * Assist in developing computer vision models for ... Wildfire smoke detection * Vegetation detection and classification * Asset detection and ...

SpaceX

Sr. Software Engineer, Computer Vision

Hawthorne, CA · On-site

$160K - $225K/yr

SR. SOFTWARE ENGINEER, COMPUTER VISION We are looking for exceptional, driven, adaptable, and resilient senior software engineers who are technical leaders and experts in artificial intelligence (AI ...

FieldAI

Senior Software Engineer, 3D Computer Vision

Irvine, CA · On-site

$129K - $171K/yr

The Senior Software Engineer in 3D Computer Vision will develop and optimize point cloud processing pipelines and design efficient algorithms for large-scale 3D datasets, ensuring scalable deployment ...

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Senior Computer Vision information

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$25.4K

$87.1K

$176.3K

How much do senior computer vision jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior computer vision in California is $87,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $116,200.00 per year, depending on experience, location, and employer.

What does a senior computer vision engineer do?

A Senior Computer Vision Engineer designs and implements algorithms that enable computers to interpret and process visual data from the world, such as images and videos. They work on tasks like object detection, image classification, and facial recognition, often using machine learning and deep learning techniques. Senior-level professionals also lead projects, mentor junior engineers, and help integrate computer vision solutions into products or services. Their expertise is critical in industries like autonomous vehicles, healthcare, robotics, and security.

What are some common challenges faced by senior computer vision engineers when deploying models to production environments?

Senior Computer Vision Engineers frequently encounter challenges such as ensuring model robustness under real-world conditions, optimizing inference speed for large-scale deployments, and managing diverse data quality issues. Additionally, integrating computer vision models into existing software systems often requires close collaboration with backend engineers and DevOps teams to maintain reliable, scalable pipelines. Addressing these obstacles typically involves rigorous testing, ongoing model monitoring, and iterative improvement to ensure accuracy and performance in dynamic environments.

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

To thrive as a Senior Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and a strong background in mathematics or computer science, usually supported by an advanced degree. Mastery of programming languages like Python or C++, and experience with frameworks such as OpenCV, TensorFlow, or PyTorch, as well as familiarity with cloud platforms and GPU computing, are typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate across interdisciplinary teams are vital soft skills. These competencies are crucial for developing innovative vision solutions, ensuring project success, and translating complex technical concepts for diverse stakeholders.

What are the most commonly searched types of Computer Vision jobs in California?

The most popular types of Computer Vision jobs in California are:

What are popular job titles related to Senior Computer Vision jobs in California?

For Senior Computer Vision jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Computer Vision jobs in California look for?

The top searched job categories for Senior Computer Vision jobs in California are:

What cities in California are hiring for Senior Computer Vision jobs?

Cities in California with the most Senior Computer Vision job openings:

Senior Computer Vision jobs near you
Infographic showing various Senior Computer Vision job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $87,136 per year, or $41.9 per hour.

Sr. Computer Vision Engineer (Deep Learning)

Mountain View, CA

Harbinger Motors Inc.
See more jobs at Harbinger Motors Inc.external

$123K - $169K/yr

Full-time

Re-posted 16 days ago

Job description

We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration. This role would sit in Mountain View, CA with PhantomAI, Harbinger's ADAS division. 


Responsibilities

  • Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.
  • Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
  • Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
  • Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
  • Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.
  • Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
  • Provide regular updates and technical reports on model development, maintenance progress, and performance metrics to management.


Required Qualifications

  • 5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
  • In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
  • Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
  • Strong proficiency in Python and a deep understanding of software design principles and development best practices.
  • Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
  • Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
  • Proven ability to work effectively in a collaborative, cross-functional team environment.


Preferred Qualifications

  • Comprehensive understanding of machine learning algorithms, including classification, regression, and clustering methods.
  • Experience deploying and optimizing models for embedded or automotive SoCs (e.g., NVIDIA Drive, TI TDA4, Qualcomm Snapdragon).
  • Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
  • Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
  • Strong programming experience in Python and/or C++ within Linux development environments.
  • Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)

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