ZipRecruiter

Log In

2

Remote Computer Engineer Jobs in Chula Vista, CA

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 ...

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 ...

Gnostech LLC

Software Engineer III

San Diego, CA · On-site +1

$125K - $175K/yr

Hybrid or remote work is not authorized Job Title * Software Engineer III Salary * $125,000 - $175 ... Electrical Engineering, Computer Engineering, Computer Science, Information Technology, or ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246048 Location: San Diego,CA,US Share job via: Share Data Engineer ... Master's degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software ...

Quora

iOS Engineer -Remote

San Diego, CA · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... For Toronto and Vancouver based applicants, the salary range is $166,675 - $191,397 CAD + equity ...

CMX1

Senior Software Engineer

La Jolla, CA · On-site +1

$103K/yr

Bachelor's Degree in Computer Systems Engineering, Computer Science, Software Engineering or Computer Engineering or foreign equivalent and two (2) years experience as Software Engineer or Software ...

next page

Showing results 1-20

All JobsComputer Engineer JobsRemote Computer Engineer JobsRemote Computer Engineer Jobs in Chula Vista, CA

Remote Computer Engineer information

See Chula Vista, CA salary details

$50.3K

$126K

$142.5K

How much do remote computer engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote computer engineer in Chula Vista, CA is $125,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $136,300.00 per year, depending on experience, location, and 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?

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 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.

Can you work remotely as a computer engineer?

Yes, many computer engineering roles can be performed remotely, especially those focused on 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 the most commonly searched types of Computer Engineer jobs in Chula Vista, CA? The most popular types of Computer Engineer jobs in Chula Vista, CA are:
What are popular job titles related to Remote Computer Engineer jobs in Chula Vista, CA? For Remote Computer Engineer jobs in Chula Vista, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineer jobs in Chula Vista, CA look for? The top searched job categories for Remote Computer Engineer jobs in Chula Vista, CA are:
What cities near Chula Vista, CA are hiring for Remote Computer Engineer jobs? Cities near Chula Vista, CA with the most Remote Computer Engineer job openings:
Remote Computer Engineer jobs near you
Infographic showing various Remote Computer Engineer job openings in Chula Vista, CA as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $125,963 per year, or $60.6 per hour.

Computational Biology MLOps Engineer (Remote)

Onebridge

San Diego, CA • Remote

$114K - $134K/yr

Full-time

Posted 15 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.