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Computer Vision Engineer Jobs in Union City, CA (NOW HIRING)

Nexxa.ai

AI Vision Engineer

Sunnyvale, CA · On-site

$120 - $190/hr

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

$150 - $210/hr

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

Develop and integrate computer vision and ML-based algorithms into the perception stack * Work with ... Strong software engineering skills in C++ and/or Python * Experience integrating perception ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

They are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for robotics and automation, working across the full machine learning lifecycle.

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Computer Vision Engineer information

See Union City, CA salary details

$55.2K

$138.4K

$156.6K

How much do computer vision engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computer vision engineer in Union City, CA is $138,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $149,800.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

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

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

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

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

More about Computer Vision Engineer jobs

What are the most commonly searched types of Computer Vision Engineer jobs in Union City, CA?

The most popular types of Computer Vision Engineer jobs in Union City, CA are:

What are popular job titles related to Computer Vision Engineer jobs in Union City, CA?

For Computer Vision Engineer jobs in Union City, CA, the most frequently searched job titles are:

What cities near Union City, CA are hiring for Computer Vision Engineer jobs?

Cities near Union City, CA with the most Computer Vision Engineer job openings:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Union City, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $138,413 per year, or $66.5 per hour.

Sr. Computer Vision Engineer (Deep Learning)

Harbinger Motors Inc.

Mountain View, CA • On-site

$180K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About Harbinger
Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation. Harbinger's best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids. Harbinger: Familiar Form, Revolutionary Foundation.
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)

Key Benefits & Perks:
  • Comprehensive Health, Dental & Vision (HDV) - 100% employee covered
  • Early-stage Stock Options
  • Robust Retirement Savings (401k, HSA, FSA)
  • Generous Paid Time Off (PTO) & Parental Leave
  • Annual Vacation Bonus
  • Wellness & Fertility Benefits
  • Cell Phone Stipend
  • Complimentary Meals & Stocked Kitchens

California Pay Range
$180,000-$240,000 USD
Equal Opportunity
Harbinger is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Harbinger is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at info@harbingermotors.com.
Candidate Data Privacy
Harbinger may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Harbinger may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Harbinger may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our HR, legal, and finance teams, and the team(s) with the position(s) for which you are applying; (ii) Harbinger affiliates; and (iii) Harbinger's service providers, including providers of background checks, staffing services, and cloud services.
Harbinger may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions.
Please note that we are currently not accepting applications from third party application services. Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Harbinger and are not subject to payment of referral or placement fees if any such candidate is later hired by Harbinger unless you have a signed written agreement in place with us which covers the applicable job posting.

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