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Contractual Computer Vision Engineer Jobs in San Ramon, CA

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 - $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 - $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.

Arxlight

Computer Vision & Autonomy Engineer

Oakland, CA · On-site

$100 - $130/hr

As a Computer Vision & Autonomy Engineer , you will be joining the team responsible for the design, development, and implementation of high-speed perception and autonomy stacks capable of identifying ...

Verkada

Software Engineer - Computer Vision

San Mateo, CA · On-site

$180K - $300K/yr

About the Role At the forefront of innovation, the Computer Vision team develops the artificial ... Mastery of at least one practical programming language * Experience working in an agile team ...

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All JobsContractual Computer Vision Engineer JobsContractual Computer Vision Engineer Jobs in San Ramon, CA

Contractual Computer Vision Engineer information

See San Ramon, CA salary details

$54.2K

$135.8K

$153.7K

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

As of Sep 5, 2026, the average yearly pay for contractual computer vision engineer in San Ramon, CA is $135,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $147,000.00 per year, depending on experience, location, and employer.

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

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

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

The most popular types of Computer Vision Engineer jobs in San Ramon, CA are:

What job categories do people searching Contractual Computer Vision Engineer jobs in San Ramon, CA look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Contractual Computer Vision Engineer jobs?

Cities near San Ramon, CA with the most Contractual Computer Vision Engineer job openings:

Contractual Computer Vision Engineer jobs near you
Infographic showing various Contractual Computer Vision Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $135,796 per year, or $65.3 per hour.

Technical Lead, Computer Vision

Niantic Spatial, Inc

San Francisco, CA • On-site

$256K - $315K/yr

Full-time

Re-posted 2 days ago

Key responsibilities

  • Lead the design and implementation of 3D reconstruction pipelines, including Structure from Motion and high-fidelity mesh generation.

  • Translate research papers into production-grade features and optimize algorithms for high-performance execution on CPU and GPU.

  • Work with engineering leadership to define the technical roadmap, provide mentorship, and collaborate with cross-functional teams to achieve strategic goals.

Job description

At Niantic Spatial, we're building the future of geospatial AI. Powered by a proprietary database of over 30 billion posed images and a groundbreaking third-generation digital map, our mission is to develop spatial intelligence that helps both humans and machines better understand, navigate, and engage with the physical world. Our high-fidelity mapping technology unlocks a new dimension of interaction-laying the foundation for AI to truly comprehend and operate within real-world environments. Join us as we build a living model of the world that people and machines can talk to.
As a Tech Lead for the Applied Computer Vision Algorithms Team, you'll help drive our "Reconstruct", "Understand" and "Localization" capabilities. This team is responsible for creating the high-fidelity visual and semantic maps-specifically textured, semantic meshes, and Gaussian Splats- as well as localization maps that allow our Large Geospatial Model (LGM) to perceive the world with human-like precision. Closely working with the R&D and product teams your work will bridge the gap between cutting-edge theory and real-world utility, turning complex geospatial data into a persistent sense of space for the next generation of AI and robotics.
Job Responsibilities
  • Applied Research & Implementation: Actively translate top-tier research papers (e.g., from CVPR, ECCV, NeurIPS) into production-grade features within our tech stack.
  • Technical Leadership: Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.
  • Algorithm Optimization: Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.
  • Production Implementation: Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.
  • Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team's technical bar.
  • Cross-Functional Collaboration: Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.
  • Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
Job Requirements
  • Years of Experience: 8+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 6+ years with a PhD in a relevant domain).
  • Education: Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
  • Core Technical Skills: Strong proficiency in C/C++ and Python for production-level software development.
  • Specialized Expertise: Proven experience in 3D Computer Vision/ML, specifically with Structure from Motion (SfM), 3D reconstruction, and Gaussian Splatting rendering techniques.
  • Hardware Optimization: Demonstrated ability to optimize algorithms for GPUs in Android or Linux environments.
  • Graphics Knowledge: Experience with computer graphics and C++ shader-based implementations.
  • Technical Leadership Experience: Previous experience tech leading a team of computer vision engineers in a high-growth environment.
  • Work Location: This position requires 3 days per week in our San Francisco OR Sunnyvale office.

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