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Remote Computer Engineer Jobs in California (NOW HIRING)

Onebridge

Computational Biology MLOps Engineer

San Diego, CA · On-site +1

$118K - $139K/yr

Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico ...

MatX

ASIC/SOC CAD Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

MatX is seeking a Physical Design CAD Engineer to join our team as we create best-in-class silicon ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Actalent

Cad Engineer

Arvin, CA · On-site +1

$100K - $120K/yr

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 ...

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

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 ...

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All JobsComputer Engineer JobsRemote Computer Engineer JobsRemote Computer Engineer Jobs in California

Remote Computer Engineer information

See California salary details

$47.9K

$119.9K

$135.7K

How much do remote computer engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote computer engineer in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

Can a computer engineer work remotely?

Yes, many computer engineering roles can be performed remotely, especially those involving software development, system design, and troubleshooting. Remote work often requires strong communication skills, familiarity with collaboration tools, and sometimes specific certifications or security clearances depending on the employer.

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

Remote computer engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with colleagues, and staying motivated without direct in-person supervision. Overcoming these challenges typically involves proactive scheduling, frequent updates via team messaging tools, and focusing on structured routines to manage tasks independently. Many companies also offer virtual stand-ups, regular check-ins, and supportive remote work cultures to foster connection and keep team members engaged. With the right strategies and tools, remote engineers can collaborate effectively and thrive in their roles.

What is a Remote Computer Engineer job?

A Remote Computer Engineer is a professional who designs, develops, tests, and maintains computer systems and software while working remotely. They may specialize in areas such as software development, network engineering, cybersecurity, or cloud computing. These engineers collaborate with teams using online tools, troubleshoot technical issues, and ensure systems run efficiently. Remote work allows flexibility but requires strong communication skills and self-discipline. Many companies hire remote computer engineers to reduce costs and access global talent.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand areas like tech giants or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses in addition to base salary.

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

To thrive as a Remote Computer Engineer, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Experience with collaboration platforms (like Git, Jira, or Slack), cloud technologies, and relevant certifications such as AWS or CompTIA Network+ is often required. Excellent time management, self-motivation, and written communication skills are crucial for successful remote work. These qualities enable consistent productivity, seamless teamwork, and effective project delivery in a decentralized environment.

How can I make $100,000 a year working from home?

A remote computer engineer can earn $100,000 annually by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications like AWS or Cisco. Building a strong portfolio, gaining experience, and working for companies that offer competitive salaries or freelance projects can also help reach this income level.

What engineers make $200,000 a year?

Senior computer engineers, especially those with expertise in software development, cybersecurity, or data engineering, can earn $200,000 or more annually, often with extensive experience, advanced skills, and relevant certifications. High-paying roles typically involve leadership, specialized technical knowledge, or working in high-demand industries such as finance or technology firms.
What are the most commonly searched types of Computer Engineer jobs in California? The most popular types of Computer Engineer jobs in California are:
What are popular job titles related to Remote Computer Engineer jobs in California? For Remote Computer Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineer jobs in California look for? The top searched job categories for Remote Computer Engineer jobs in California are:
What cities in California are hiring for Remote Computer Engineer jobs? Cities in California with the most Remote Computer Engineer job openings:
Remote Computer Engineer jobs near you
Infographic showing various Remote Computer Engineer job openings in California as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.
Computational Biology MLOps Engineer

Computational Biology MLOps Engineer

Onebridge

San Diego, CA • On-site, Remote

$118K - $139K/yr

Full-time

Posted 4 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Computational Biology MLOps Engineer to join our innovative and dynamic team.
This role requires onsite work three (3) days per week in Indianapolis, IN or San Diego, CA.
Computational Biology MLOps Engineer | About You
As a Computational Biology MLOps Engineer, you are responsible for building and scaling the ML infrastructure that supports next generation in silico protein design and engineering. You bridge cutting edge AI research and production systems at the intersection of machine learning, computational biology, and high performance computing. You thrive in cross functional environments and partner closely with computational scientists and platform engineers to accelerate research velocity. You bring strong software, DevOps, and data engineering fundamentals with hands on experience across CI/CD, orchestration, and distributed training. Experience working with scientific or multimodal data and interest in protein language and generative models is a plus.
Computational Biology MLOps Engineer | Day-to-Day
  • Build and maintain ML infrastructure, including CI/CD pipelines (GitHub Actions) for model training, evaluation, and deployment.
  • Orchestrate compute across Kubernetes clusters and SLURM and HPC environments to optimize utilization for large scale training.
  • Develop robust and scalable data pipelines that deliver ML ready datasets from biological sources such as PDB and mmCIF files, sequence databases, and assay readouts.
  • Create tools and frameworks that enable rapid iteration on protein language models, diffusion models, and other generative approaches.
  • Architect systems that scale across distributed environments and support multimodal datasets for large foundational models.
  • Implement monitoring, logging, and alerting to ensure reliability, performance, and cost efficiency of production ML systems.

Computational Biology MLOps Engineer | Skills & Experience
  • 5+ years of overall industry experience in software engineering, DevOps, data engineering, or ML engineering roles, including 3+ years of focused MLOps experience building and maintaining production grade ML infrastructure.
  • Proven CI/CD expertise with GitHub Actions and strong DevOps practices including infrastructure as code, version control, and collaborative workflows.
  • Hands on Kubernetes experience in deploying and managing containerized ML workloads with familiarity using container registries.
  • Proficiency with SLURM or similar job schedulers in HPC environments and experience with distributed training optimization including mixed precision and checkpointing.
  • Strong Python skills and experience with major ML frameworks including PyTorch, TensorFlow, or JAX.
  • Experience building ETL processes and scalable data and feature pipelines and experience with cloud platforms such as AWS, GCP, or Azure.
  • Preferred experience with scientific data, protein structure formats such as PDB and mmCIF, protein AI models including ESM, and agentic systems such as MCP, LangGraph, and LangChain.

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