2

Remote Computer Programming Certificate Jobs in California

Computer Vision Engineer

San Francisco, CA ยท On-site +1

$141K - $184K/yr

  • Medical

  • Retirement

  • PTO

We are a team of more than 175 people working in a hybrid-remote environment across North America ... The Role We are looking for a motivated Computer Vision Engineer to help build the next generation ...

Software Engineer III

San Diego, CA ยท On-site +1

$125K - $175K/yr

... certification and accreditation (C&A) processes in compliance with DoD cybersecurity standards ... Hybrid or remote work is not authorized Job Title * Software Engineer III Salary * $125,000 - $175 ...

AWS Cloud Engineer (Remote)

San Francisco, CA ยท On-site +1

$40 - $45/hr

Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical ... AWS Developer Certification (or equivalent AWS certification). * Strong experience developing ...

ASIC/SOC CAD Engineer

Mountain View, CA ยท On-site +1

$175K - $362K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong proficiency in programming languages such as Perl, Python, and TCL * Expertise developing ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Cad Engineer

Arvin, CA ยท On-site +1

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Job Title: CAD Engineer We are seeking an experienced CAD Engineer with a robust background in BIM ... Work Environment This is a remote position with occasional visits to Tejon Ranch. You will work in ...

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... CAD Graphics Engine! In this role, you'll work as part of a small team of Graphics Engineers to ...

Drafter/CAD Operator II

San Diego, CA ยท 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 ...

Remote Job Overview We are seeking experienced Autodesk Fusion 360 Specialists to contribute their ... No prior AI experience is required--your engineering and CAD expertise are what matter most. Key ...

next page

Showing results 1-20

Remote Computer Programming Certificate information

What is a remote computer programming certificate?

A Remote Computer Programming Certificate is a credential earned through online coursework that demonstrates proficiency in computer programming concepts and skills. These programs typically cover foundational programming languages, software development practices, and problem-solving techniques. They are designed for individuals seeking to start or advance a career in software development and can often be completed at your own pace from anywhere with internet access. Many employers recognize these certificates as evidence of relevant technical knowledge and commitment to professional growth.

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

To thrive as a Remote Computer Programmer, you need strong programming skills in languages like Python, Java, or JavaScript, typically supported by a relevant degree or certification. Familiarity with version control systems (such as Git), cloud platforms, and remote collaboration tools is essential. Excellent self-motivation, communication, and time management skills help individuals excel while working independently. These competencies ensure high-quality code delivery, effective teamwork, and sustained productivity in a remote environment.

What are some common challenges students face while pursuing a remote computer programming certificate and how can they overcome them?

Students often encounter challenges such as managing time effectively, staying motivated without in-person supervision, and keeping up with rapidly changing technology. To overcome these hurdles, it's helpful to set a consistent study schedule, actively participate in online forums or study groups, and seek out mentorship or peer support. Additionally, leveraging project-based learning and real-world coding exercises can enhance understanding and retention of concepts, making remote study more engaging and effective.

What is the difference between Remote Computer Programming Certificate vs Remote Software Developer Certificate?

AspectRemote Computer Programming CertificateRemote Software Developer Certificate
CredentialsCertificates in programming languages and coding skillsCertificates in software development, coding, and application design
Work EnvironmentOnline learning, project-based tasks, freelance or remote rolesRemote or onsite software development teams, project work
Industry UsageEntry-level programming roles, freelance projects, coding bootcampsSoftware development companies, tech firms, startups

The Remote Computer Programming Certificate focuses on foundational coding skills suitable for various programming tasks, while the Remote Software Developer Certificate emphasizes broader software development practices, including design and application building. Both are valuable for remote tech careers, but the choice depends on your specific career goals and the skills you wish to acquire.

What are popular job titles related to Remote Computer Programming Certificate jobs in California?

For Remote Computer Programming Certificate jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Computer Programming Certificate jobs in California look for?

The top searched job categories for Remote Computer Programming Certificate jobs in California are:

What cities in California are hiring for Remote Computer Programming Certificate jobs?

Cities in California with the most Remote Computer Programming Certificate job openings:

Computer Vision Engineer

Pano

San Francisco, CA โ€ข On-site, Remote

$141K - $184K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

Help us tackle the growing wildfire crisis with the latest advancements in AI and IoT
Who we are
The challenge: Every minute matters in wildfire response. As climate change increases the frequency and intensity of wildfires-with longer fire seasons, drier fuels, and more extreme weather-new ignitions can spread rapidly, putting communities, critical infrastructure, and ecosystems at risk. Today, many wildfires are first reported by members of the public, meaning it can take valuable time to detect a fire, confirm its location and size, and mobilize responders. Fire agencies need faster, more reliable ways to detect, verify, and pinpoint new ignitions so they can respond quickly and prevent small fires from becoming catastrophic events.
About Pano AI: Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. Our platform combines advanced hardware, software, artificial intelligence, satellite imagery, and other data sources to provide real-time situational awareness and actionable intelligence. Using a network of ultra-high-definition, 360-degree cameras positioned across high vantage points, Pano AI delivers a real-time view of wildfire activity, enabling faster, more informed decision-making when every second counts.
We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco. Our customers include government agencies, utilities, insurers, and private landowners who rely on Pano AI to help protect people, property, and natural landscapes. Pano AI currently serves customers across the United States, Australia, and Canada, monitoring more than 50 million acres worldwide.
Our work has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023 and one of the World's Most Innovative Companies in 2026, ranking #1 in Sustainability. We have also been named to TIME's list of the 100 Most Influential Companies of 2025 and recognized by MIT Technology Review as one of the top climate technology companies to watch.
Backed by $89 million in funding from leading investors including Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures, we're building technology that helps communities around the world become more resilient to wildfire. Learn more at www.pano.ai.
The Role
We are looking for a motivated Computer Vision Engineer to help build the next generation of cloud/edge-based vision systems for wildfire detection and environmental monitoring.
In this role, you will work alongside experienced AI researchers and engineers to develop, evaluate, optimize, and deploy computer vision models on both cloud and edge devices. You will gain hands-on experience across modern computer vision, edge AI, embedded systems, and real-world AI deployment.
Beyond wildfire detection, you will contribute to a variety of computer vision projects, including vegetation detection, asset recognition, instance segmentation, scene understanding, and spatial reasoning. We value curiosity, adaptability, and a willingness to learn new technologies and tackle diverse technical challenges as our products evolve.
This is an excellent opportunity for an engineer who enjoys learning across the entire AI stack and wants to grow into a senior technical contributor.
What you'll do
  • Assist in developing computer vision models for:
    • Wildfire smoke detection
    • Vegetation detection and classification
    • Asset detection and recognition
    • Instance and semantic segmentation
    • Scene understanding and spatial reasoning
  • Help implement and maintain machine learning and computer vision pipelines.
  • Assist with deploying and optimizing AI models on NVIDIA Jetson and other edge platforms.
  • Support model optimization efforts, including TensorRT conversion, quantization, and inference acceleration.
  • Build tools for data processing, visualization, benchmarking, evaluation, and monitoring.
  • Conduct experiments, analyze model performance, and present findings to the team.
  • Debug inference, deployment, networking, and hardware integration issues.
  • Contribute to continuous learning, model evaluation, and data quality improvement workflows.
  • Collaborate closely with AI researchers, software engineers, hardware engineers, and product teams.
  • Document experiments, engineering decisions, and best practices.
  • Take on a variety of technical challenges as needed and continuously expand your skills across computer vision and cloud/edge AI.

What you'll bring
Required
  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field.
  • 1-3 years of experience (including internships or research) in software engineering, machine learning, or computer vision.
  • Experience with Python and deep learning frameworks such as PyTorch.
  • Understanding of machine learning fundamentals and modern computer vision techniques.
  • Familiarity with Linux development environments.
  • Strong problem-solving skills, curiosity, and a desire to learn.
  • Excellent communication and teamwork skills.

Preferred
  • Experience with NVIDIA Jetson, CUDA, TensorRT, ONNX, or embedded AI platforms.
  • Experience with OpenCV.
  • Experience with one or more of the following:
    • Object detection
    • Instance or semantic segmentation
    • Image classification
    • Multi-object tracking
    • Video understanding
  • Familiarity with vision foundation models such as SAM, Grounding DINO, or DINO is a plus.
  • Experience with cloud platforms, MLOps, or CI/CD workflows.
  • Interest in deploying AI systems in real-world environments, particularly outdoor vision systems.

Final compensation for regular full-time employees is determined by a variety of factors, including job-related qualifications, education, experience, skills, knowledge, and geographic location. In addition to base salary, regular full-time roles are eligible for equity. Benefits are tailored to local market standards and statutory requirements in the employee's country of employment, and may include health coverage, retirement or pension contributions, and paid time off. Specific benefit details will be shared during the interview process.