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Remote Computer Engineer Jobs in Ontario, CA (NOW HIRING)

Saratech

CAE Application Engineer

Mission Viejo, CA · Remote

$120K - $180K/yr

Remote Salary Range: 120,000 - 180,000 Company Overview: From start-ups to blue-chips, Saratech ... Gain further knowledge of CAD/CAM/CAE/PLM solutions and market needs Qualifications: * Bachelor ...

DataAnnotation

Security Engineer - AI Trainer

Pomona, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You work on your own schedule, on your own computer, from the comfort of your own home * Projects ...

DataAnnotation

Security Engineer - AI Trainer

Riverside, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You work on your own schedule, on your own computer, from the comfort of your own home * Projects ...

DataAnnotation

Security Engineer - AI Trainer

Rialto, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You work on your own schedule, on your own computer, from the comfort of your own home * Projects ...

DataAnnotation

Security Engineer - AI Trainer

Anaheim, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You work on your own schedule, on your own computer, from the comfort of your own home * Projects ...

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Showing results 1-20

All JobsComputer Engineer JobsRemote Computer Engineer JobsRemote Computer Engineer Jobs in Ontario, CA

Remote Computer Engineer information

See Ontario, CA salary details

$49.3K

$123.6K

$139.9K

How much do remote computer engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote computer engineer in Ontario, CA is $123,634.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $133,800.00 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 job.

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.

How to make 2000 a week working from home?

A remote computer engineer can earn $2,000 a week by taking on high-paying freelance projects, consulting roles, or contract work that leverage specialized skills such as programming, network security, or system architecture. Building a strong portfolio, obtaining relevant certifications, and using platforms like Upwork or Toptal can help access higher-paying opportunities. Consistent work, advanced skills, and efficient time management are key to reaching this income level.

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

A remote computer engineer can reach a $100,000 annual salary by gaining specialized skills in high-demand areas such as cybersecurity, cloud computing, or software development, and obtaining relevant certifications like CISSP or AWS Certified Solutions Architect. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive pay are also key factors.

What engineers make $500,000?

Senior computer engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and work at large tech companies or startups with significant funding.

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.

What are popular job titles related to Remote Computer Engineer jobs in Ontario, CA? For Remote Computer Engineer jobs in Ontario, CA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineer jobs in Ontario, CA look for? The top searched job categories for Remote Computer Engineer jobs in Ontario, CA are:
What cities near Ontario, CA are hiring for Remote Computer Engineer jobs? Cities near Ontario, CA with the most Remote Computer Engineer job openings:
Remote Computer Engineer jobs near you

Senior Machine Learning Engineer (Generative AI)

Purple Drive

Irvine, CA • Remote

$112K - $154K/yr

Other

Posted 9 days ago

Job description

Overview:
Remote (Must work PST hours)
Job Overview:
We are seeking a highly experienced Senior ML Engineer with deep expertise in Generative AI and Machine Learning to drive innovation and deliver large-scale production-ready ML solutions. The ideal candidate will bring hands-on experience across the full SDLC, strong technical leadership, and proven success in deploying cutting-edge ML models and platforms at scale.
Key Responsibilities:
  • Act as a thought leader driving ML innovation across products and platforms.
  • Lead the full software development lifecycle (SDLC): design, coding, testing, deployment, and operations.
  • Guide technical strategy, conduct design/code reviews, and mentor peers.
  • Develop production-grade ML code for next-gen real-time ML platforms.
  • Extend and optimize existing ML libraries/frameworks for performance at scale.
  • Partner with scientists and engineers to accelerate model development, validation, experimentation, and integration into production systems.
Required Qualifications:
  • 8+ years of experience across the full SDLC (design, coding, testing, deployment, operations).
  • 5+ years of hands-on experience building and deploying end-to-end ML solutions in production.
  • Proven experience with Generative AI (RAG, AI Agents, LLM fine-tuning).
  • Strong background in cloud-based distributed systems (AWS, Azure, GCP).
  • Exceptional problem-solving skills and ability to work in complex, ambiguous environments.
  • Bachelor's degree in Computer Science, Mathematics, or related field.
Preferred Qualifications:
  • MS/PhD in Computer Science, Machine Learning, or related discipline.
  • Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG).
  • Exposure to Big Data and distributed technologies (Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue).

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