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Remote Software Debugger Jobs in California (NOW HIRING)

Remote Software Engineer

San Francisco, CA · On-site +1

$200 - $300/hr

Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. * Excellent oral and written communication skills for clear, structured evaluation ...

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Debugging Systematic root-cause analysis across distributed cloud systems, especially in networking ...

Senior Software Engineer [REMOTE]

San Francisco, CA · Remote

$144.30K - $190.30K/yr

Investigate and debug complex issues in customer environments, including multi-control plane ... Support the software release cycle for Spaces self-hosted distributions, including diagnosing ...

Software Engineer

San Francisco, CA · On-site +1

$213.51K - $285.60K/yr

Debug production issues across services and multiple levels of the stack * Improve engineering ... Full remote work permitted. Multiple Positions Available. Additional benefits for this role may ...

T roubleshoot, debug, and upgrade existing software to ensure optimal performance. * C ontribute to ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Remote Role Responsibilities * Build MCP servers in Python using FastMCP . * Integrate web or ... Test apps locally and debug build, runtime, and permission issues. * Ensure apps meet platform ...

System Software Engineer

Mountain View, CA · On-site +1

$175K - $362.50K/yr

Write debug and performance monitoring utilities * Performance profiling, look for opportunities to ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Remote : OK Job Role: As a software developer, you'll be the brain behind crafting, developing ... Active participate in troubleshooting, debugging and updating current live system. * Verify user ...

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Remote Software Debugger information

What are the key skills and qualifications needed to thrive as a Remote Software Debugger, and why are they important?

To thrive as a Remote Software Debugger, you need strong programming skills, a deep understanding of debugging methodologies, and experience with software development lifecycles, often supported by a degree in computer science or related field. Proficiency with debugging tools (such as GDB, WinDbg, or Visual Studio Debugger), version control systems like Git, and familiarity with issue tracking platforms are typically required. Analytical thinking, problem-solving skills, and effective remote communication set outstanding debuggers apart. These abilities help quickly identify and resolve software issues, ensuring reliable and efficient software performance in distributed environments.

What are some common challenges faced by remote software debuggers, and how can they be managed effectively?

Remote software debuggers often encounter challenges related to communication, time zone differences, and limited access to certain environments or resources. Effective management of these issues includes utilizing robust collaboration tools, maintaining clear documentation, and scheduling regular check-ins with team members. Proactively seeking clarification and sharing progress updates can help ensure alignment, while leveraging remote debugging tools and secure access protocols can address technical barriers. Adapting to these practices enables remote debuggers to work efficiently and remain connected with their teams.

What is a Remote Software Debugger?

A Remote Software Debugger is a professional who specializes in identifying, analyzing, and fixing software bugs or errors from a remote location. They use specialized tools to connect to software systems or applications over the internet, allowing them to diagnose issues without being physically present. This role is essential for distributed teams or companies with global operations, as it enables rapid troubleshooting and support. Remote Software Debuggers often work with developers and IT teams to resolve software malfunctions, improve performance, and ensure systems run smoothly.

What is the difference between Remote Software Debugger vs Remote Software Tester?

AspectRemote Software DebuggerRemote Software Tester
Required CredentialsKnowledge of debugging tools, programming skills, sometimes certifications in specific languagesUnderstanding of testing methodologies, QA certifications often preferred
Work EnvironmentTypically integrated within development teams, using IDEs and debugging tools remotelyOften works independently or within QA teams, using testing platforms and bug tracking tools remotely
Employer & Industry UsageSoftware development companies, tech firms, gaming, and app developmentSoftware companies, QA firms, tech startups, and app developers

Remote Software Debuggers focus on identifying and fixing bugs within code during development, while Remote Software Testers evaluate software quality through testing processes. Both roles require technical skills but differ in their primary objectives and tools used.

What are the most commonly searched types of Software Debugger jobs in California? The most popular types of Software Debugger jobs in California are:
What cities in California are hiring for Remote Software Debugger jobs? Cities in California with the most Remote Software Debugger job openings:
Infographic showing various Remote Software Debugger job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Remote Software Engineer

Remote Software Engineer

Turing

San Francisco, CA • On-site, Remote

$200 - $300/hr

Contractor

Medical, PTO

Posted 4 days ago


Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.

Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?
  • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents that can verify the quality of the code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • 3+ years of software engineering experience.
  • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required).
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (starting next week; potential extensions based on performance and fit).
  • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany).

Note: As part of assessments you will go through an AI video interview.

After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.

Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.