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Computer Vision Jobs in Sunnyvale, CA (NOW HIRING)

Computer Vision Engineer

Mountain View, CA · On-site

$130K - $154K/yr

Computer Vision Engineer - Advanced Development & Planning Location: Mountain View, CA Duration: Long Term About CTC: Founded in 1996, CTC is a global IT services, Consulting and Business Solutions ...

Computer Vision Engineer Location: Mountain View, California (On-site) Employment Type: Contract Opportunity Pay: $70.00-$75.00/hour Schedule: Full-time Benefits: Medical Benefits Begin Day 1, Paid ...

RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward ...

RL has global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more. RL is committed to driving the state of the art forward ...

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking • Experience with model optimization for edge/on-device deployment • ...

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

Computer Vision Engineer

Santa Clara, CA

$131K - $155K/yr

S./Ph.D. in computer sciences or related area with at least 2 years of working experience in industry * 2+ years of experience with machine learning, computer vision, and signal processing

We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute. Responsibilities • Build and own the ...

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

Computer Vision Engineer

Sunnyvale, CA

$130K - $154K/yr

The Reality Labs (RL) organization at Meta is helping more people around the world come together and connect through industry-leading Augmented and Virt.

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

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Computer Vision information

See Sunnyvale, CA salary details

$39.3K

$56.7K

$74.5K

How much do computer vision jobs pay per year?

As of Jul 19, 2026, the average yearly pay for computer vision in Sunnyvale, CA is $56,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $65,100.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications in areas like autonomous vehicles, healthcare, and security. Demand for skilled professionals with expertise in deep learning, image processing, and relevant tools remains strong, making it a viable career choice.

What engineer makes $500,000 a year?

Senior computer vision engineers working in high-paying industries such as technology, autonomous vehicles, or defense can earn salaries approaching or exceeding $500,000 annually, especially with extensive experience, specialized skills in deep learning and image processing, and often including bonuses or stock options. Such compensation typically requires advanced degrees, strong technical expertise, and leadership responsibilities.

What jobs are there in computer vision?

Jobs in computer vision include roles such as computer vision engineer, research scientist, machine learning engineer, and data scientist. These positions typically require skills in programming, image processing, and deep learning frameworks like TensorFlow or PyTorch, and may involve developing algorithms for object detection, facial recognition, or autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision position, and why are they important?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Sunnyvale, CA? The most popular types of Computer Vision jobs in Sunnyvale, CA are:
What are popular job titles related to Computer Vision jobs in Sunnyvale, CA? For Computer Vision jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Sunnyvale, CA look for? The top searched job categories for Computer Vision jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Computer Vision jobs? Cities near Sunnyvale, CA with the most Computer Vision job openings:
Infographic showing various Computer Vision job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $56,685 per year, or $27.3 per hour.

Computer Vision Engineer

CTC USA, LLC

Mountain View, CA • On-site

$130K - $154K/yr

Other

Posted 10 days ago


Job description

Job Title:  Computer Vision Engineer – Advanced Development & Planning

Location:  Mountain View, CA

 

Duration: Long Term

About CTC:

Founded in 1996, CTC is a global IT services, Consulting and Business Solutions partner dedicated to helping organizations innovate, optimize, and grow. With over 2,000 professionals worldwide, we support more than 100 clients in transforming complex challenges into lasting competitive advantages.

 
Job Description:
Position Summary
Develop proof-of-concept (POC) computer vision systems for intelligent mobility and in-vehicle applications. The role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems.
Responsibilities
  • Develop proof-of-concept systems using state-of-the-art AI and computer vision technologies.
  • Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
  • Build solutions using modern AI approaches including Vision Transformers (ViT), Vision-Language Models (VLMs), Multimodal AI, Foundation Models, Self-Supervised Learning, and Generative AI.
  • Evaluate and adapt the latest research papers and open-source models to automotive and intelligent mobility applications.
  • Integrate camera, vehicle, and sensor data to create innovative AI-driven applications.
  • Develop and integrate AI software on embedded and edge computing platforms for in-vehicle applications.
  • Design real-time perception systems operating under vehicle constraints including compute, memory, latency, power consumption, and robustness.
  • Optimize AI models for deployment on automotive SoCs, GPUs, and AI accelerators.
  • Prototype and evaluate end-to-end systems on vehicle platforms, embedded devices, and research vehicles.
  • Develop software for deployment and demonstration in vehicle-based proof-of-concept platforms.
  • Evaluate tradeoffs among accuracy, latency, memory footprint, and operational robustness.
  • Collaborate with researchers, software engineers, and system engineers to realize innovative concepts and demonstrations.
  • Stay up to date with emerging trends in computer vision, multimodal AI, edge AI, and intelligent mobility systems.
Qualifications
Required Qualifications
  • Master''s degree or higher in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Strong background in Computer Vision and Machine Learning.
  • Hands-on experience with PyTorch, TensorFlow, OpenCV, or similar frameworks.
  • Experience implementing and training deep learning models including CNNs, Transformers, Vision Transformers (ViT), Vision-Language Models (VLMs), and multimodal architectures.
  • Strong programming skills in Python and C++.
  • Experience reading, reproducing, and extending recent AI/CV research publications.
  • Familiarity with Linux development environments.
  • Excellent verbal and written communication skills.
     
    Preferred Qualifications
  • Experience with Foundation Models, Large Vision Models, and Multimodal AI systems.
  • Experience with CLIP, SAM (Segment Anything), DINOv2, BEV-based perception models, or similar state-of-the-art vision technologies.
  • Experience with Generative AI and synthetic data generation.
  • Experience developing software on embedded Linux systems.
  • Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or comparable inference optimization frameworks.
  • Experience optimizing and deploying AI models on edge devices and automotive computing platforms.
  • Experience with NVIDIA Jetson, NVIDIA DRIVE, Qualcomm Snapdragon Ride, or similar embedded AI platforms.
  • Experience with ROS/ROS2, sensor fusion, or robotic/automotive systems.
  • Experience in automotive, robotics, autonomous systems, or intelligent transportation systems.
  • Publications in leading AI, robotics, or computer vision conferences are a plus.