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Remote Computer Vision Engineer Jobs in Santa Clara, CA

Serve Robotics

Staff Systems Engineer

Redwood City, CA · Remote

$195K - $240K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... As a Staff Systems Engineer , you are responsible for ensuring that our robot is safe, robust ...

Axiom Cloud

Software Engineer (Fully Remote)

San Jose, CA · On-site +1

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Bachelors in Computer Science, Engineering, or a related field. * 3+ years of professional software ...

Amat

Algorithm Developer

Santa Clara, CA · On-site +1

$184K - $253K/yr

Strong background in computer vision , image processing , and deep learning technologies ... GPU Programming like CUDA, and algorithm optimization and tuning skills are desired. * Working ...

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Remote Computer Vision Engineer information

See Santa Clara, CA salary details

$57K

$142.7K

$161.5K

How much do remote computer vision engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote computer vision engineer in Santa Clara, CA is $142,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $154,400.00 per year, depending on experience, location, and employer.

What is a remote computer vision engineer?

A Remote Computer Vision Engineer develops and implements computer vision algorithms and machine learning models to analyze and interpret visual data. They work with image and video processing, deep learning frameworks, and cloud-based or edge computing environments. This role involves tasks like object detection, image segmentation, and facial recognition, often using tools like OpenCV, TensorFlow, or PyTorch. Since it is a remote position, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote computer vision engineer?

To excel as a Remote Computer Vision Engineer, you need strong proficiency in image processing, machine learning, and programming languages such as Python or C++, typically supported by a degree in computer science or a related field. Experience with frameworks like OpenCV, TensorFlow, or PyTorch, and familiarity with cloud platforms and version control systems, are highly valuable. Excellent problem-solving skills, self-motivation, and effective remote communication abilities set standout candidates apart. These skills ensure the successful development and deployment of advanced computer vision solutions in a collaborative, distributed work environment.

What are some typical challenges remote computer vision engineers face and how can they address them?

Remote computer vision engineers often encounter challenges such as aligning on project objectives with distributed teams, managing large datasets, and ensuring models perform well in real-world conditions. Effective communication through regular video meetings and clear documentation can help bridge distance-related gaps. Utilizing collaborative tools for code reviews and version control also streamlines teamwork. To overcome technical hurdles, staying updated on the latest frameworks and best practices in computer vision is important. Proactively addressing these challenges leads to more efficient project delivery and professional growth.

What are the most commonly searched types of Computer Vision Engineer jobs in Santa Clara, CA? The most popular types of Computer Vision Engineer jobs in Santa Clara, CA are:
What are popular job titles related to Remote Computer Vision Engineer jobs in Santa Clara, CA? For Remote Computer Vision Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Engineer jobs in Santa Clara, CA look for? The top searched job categories for Remote Computer Vision Engineer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Computer Vision Engineer jobs? Cities near Santa Clara, CA with the most Remote Computer Vision Engineer job openings:
Remote Computer Vision Engineer jobs near you
Infographic showing various Remote Computer Vision Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $142,712 per year, or $68.6 per hour.

Staff Software Engineer - ML AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Posted 7 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Staff ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will set the technical direction for the development and implementation of machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization.

What the Candidate Will Do

Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems:

  • Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • Architecture & System Design: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data.
  • Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams.
  • Platform Evolution: Define the requirements for high-quality datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research.
  • Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale.
Basic Qualifications
  • 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry.
  • Proven experience leading large-scale technical projects from conception to production.
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • Expert-level proficiency in Python and Linux environments.
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch).
Preferred Qualifications
  • PhD degree in Computer Vision, Robotics, or Machine Learning with a focus on Autonomous Driving.
  • Extensive experience with C++, CUDA, and high-performance system optimization.
  • Deep understanding of the Robot Operating System (ROS) or similar autonomous middleware.
  • Recognized expertise in the field (e.g., publications in CVPR, NeurIPS, ICRA or patents related to AV).
  • Experience building and scaling "Foundation Models" for physical world interaction.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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