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Remote Computer Chip Engineer Jobs in California

Gnostech

Drafter/CAD Operator II

San Diego, CA · On-site +1

$26.92 - $29.33/hr

... Engineering (ISEA) Programs. The Draft/CAD Operator II position prepares detailed drawings and ... Hybrid or remote work is not authorized Job Title * Drafter/CAD Operator II Salary * $26.92-$29.33 ...

Gnostech

Drafter/CAD Operator II

San Diego, CA · On-site +1

$26.92 - $29.33/hr

... Engineering (ISEA) Programs. The Draft/CAD Operator II position prepares detailed drawings and ... Hybrid or remote work is not authorized Job Title * Drafter/CAD Operator II Salary * $26.92-$29.33 ...

Amat

CV/ML/DL Algorithm Developer

Santa Clara, CA · On-site +1

$184K - $253K/yr

... chip and advanced display in the world. The equipment that we create and service is essential to ... Evaluate and develop computer vision and machine learning / deep learning algorithms for defect ...

Gnostech LLC

Drafter/CAD Operator II

San Diego, CA · On-site +1

$26.92 - $29.33/hr

... Engineering (ISEA) Programs. The Draft/CAD Operator II position prepares detailed drawings and ... Hybrid or remote work is not authorized Job Title * Drafter/CAD Operator II Salary * $26.92-$29.33 ...

Amat

CV/ML/DL Algorithm Developer

Santa Clara, CA · On-site +1

$161K - $221K/yr

... every new chip and advanced display in the world. We design, build and service cutting-edge ... Evaluate computer vision and machine learning / deep learning algorithms for defect detection ...

Lemurian Labs

Senior DSL Engineer

Santa Clara, CA · On-site +1

$143K - $189K/yr

Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any ... Requirements Essential Skills and Experience * BS degree in Computer Science, Computer Engineering ...

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Remote Computer Chip Engineer information

What does a remote computer chip engineer do?

A Remote Computer Chip Engineer designs, develops, tests, and optimizes microchips and integrated circuits while working from a remote location. They use specialized software tools to create blueprints, simulate chip behavior, and collaborate with other engineers online. Their work is crucial in developing faster, more efficient processors and electronic devices. By working remotely, they leverage digital communication and project management tools to coordinate with teams around the world.

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

To thrive as a Remote Computer Chip Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and semiconductor fundamentals, typically supported by a relevant degree. Familiarity with CAD tools like Cadence or Synopsys, experience with HDL languages (such as Verilog or VHDL), and knowledge of simulation and verification systems are essential. Excellent problem-solving, self-motivation, and effective remote communication skills set top engineers apart in virtual teams. These competencies ensure high-quality chip development, efficient collaboration, and successful project delivery in a remote work environment.

What are some common challenges faced by remote computer chip engineers, and how can they be addressed?

Remote Computer Chip Engineers often face challenges related to effective collaboration, particularly when working across different time zones or with team members in various locations. Communication about design updates, debugging, and hardware testing can require extra coordination. To address these issues, teams typically use robust project management tools, regular video meetings, and clear documentation practices. Establishing strong communication channels and proactively sharing progress help ensure everyone stays aligned and projects move forward efficiently.

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

The most popular types of Computer Chip Engineer jobs in California are:

What are popular job titles related to Remote Computer Chip Engineer jobs in California?

For Remote Computer Chip Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Computer Chip Engineer jobs in California look for?

The top searched job categories for Remote Computer Chip Engineer jobs in California are:

What cities in California are hiring for Remote Computer Chip Engineer jobs?

Cities in California with the most Remote Computer Chip Engineer job openings:

Remote Computer Chip Engineer jobs near you
Infographic showing various Remote Computer Chip Engineer job openings in California as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 6% In-person, and 94% Remote job distribution.

Staff Software Engineer - Computer Vision

Redwood City, CA • On-site, Remote

Array Labs
Guided Missile and Space Vehicle Manufacturing • 1 - 10 employees
Learn more about Array Labsexternal

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago

Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

 
About the Job
As a Staff Software Engineer for Computer Vision, you will develop and deploy across all of Array's 3D processing capabilities, including our photogrammetry and radar reconstruction pipelines. The work spans computer vision algorithms and production engineering: you should be equally comfortable reading a paper about unfamiliar algorithms, and shipping new capabilities as production-quality software. The position will work closely with 3D reconstruction scientists, radar algorithms engineers, and product engineers.
Responsibilities
  • Productionize and continuously improve Array's photogrammetry and radar image formation pipelines using industry best practices.
  • Step into individual pipeline stages - bundle adjustment, dense matching, point cloud generation, geometric refinement, geo-referencing - to improve accuracy, robustness, and throughput.
  • Develop and optimize database schemas and storage solutions for managing large-scale 3D geospatial data.
  • Contribute to broader software engineering efforts across the company, including data infrastructure, analytics, and systems to deliver our satellite data to customers.
Basic Qualifications
  • 5+ years of software engineering experience, with a substantial portion focused on computer vision.
  • Strong proficiency in Python and C++, experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g. Docker, Kubernetes).
  • Strong foundation in geometric computer vision, spanning camera modeling, epipolar geometry, and multi-view reconstruction pipelines (stereo, SfM, MVS, bundle adjustment).
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial concepts, remote sensing data, or robotics/autonomous vehicle sensor data
  • Familiarity with digital signal processing, radar algorithms, or SAR concepts
  • Familiarity with deep learning approaches to 3D vision (e.g. NeRF, 3D Gaussian Splatting, learned feature matching, or depth estimation)
  • Experience with C++ or CUDA for performance optimization
  • Ability to build visualization tools for geospatial or 3D data (Cesium, Three.js, or similar)
$150,000 - $300,000 a year
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.
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