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Remote Performance Engineer Jobs in California (NOW HIRING)

Mercor

Performance Engineer

San Francisco, CA · Remote

$90 - $120/hr

Remote Role Responsibilities * Guide research and engineering teams to improve AI model performance in systems-level optimization , compiler engineering , and runtime performance . * Design ...

SOLV Energy

Performance Engineer II

San Diego, CA · On-site +1

The Performance Engineer II - O&M is responsible for overseeing the day-to-day operational ... This role can be fully remote or based full-time in our offices in San Diego, CA or Bend, OR.

Oklo

Fuel Performance Engineer

Santa Clara, CA · On-site +1

$120K - $165K/yr

We are searching for a Fuel Performance Engineer to join our team. Position Description Fuel ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

GeoDelphi

Agentic AI Engineer

San Francisco, CA · Remote

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within ...

iXsystems

Performance & Automation Engineer I

Campbell, CA · Remote

$70K - $75K/yr

The Performance & Automation Engineer has a part to play in two interconnected disciplines: test ... This is a remote position in the United States Base Pay Range The base pay range of this position ...

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Remote Performance Engineer information

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

To excel as a Remote Performance Engineer, you need a strong background in software engineering, performance testing, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Exceptional problem-solving skills, attention to detail, and effective remote communication are critical soft skills for this role. These abilities ensure optimal system performance, efficient troubleshooting, and successful collaboration across distributed teams.

How does a Remote Performance Engineer typically collaborate with cross-functional teams to address system bottlenecks?

Remote Performance Engineers frequently work alongside developers, QA analysts, and operations teams to identify and resolve system performance issues. Collaboration is often facilitated through virtual meetings, shared dashboards, and ticketing systems, allowing for real-time discussion of bottlenecks and potential solutions. Engineers may be responsible for presenting their findings, recommending optimizations, and guiding implementation while ensuring all stakeholders are aligned on priorities. Effective communication skills and proactive documentation are essential to succeed in this remote, collaborative environment.

What are Remote Performance Engineers?

Remote Performance Engineers are specialized IT professionals who work from remote locations to monitor, analyze, and optimize the performance of software applications, systems, or networks. Their main goal is to ensure that digital products run efficiently and can handle user demand without slowdowns or outages. They utilize various tools and methodologies to identify bottlenecks, conduct testing, and recommend or implement solutions to improve overall system performance. These engineers often collaborate with development, operations, and QA teams to maintain high standards of reliability and speed for end users.

What is the difference between Remote Performance Engineer vs Remote QA Engineer?

AspectRemote Performance EngineerRemote QA Engineer
Required CredentialsBachelor's in Computer Science, experience with performance testing toolsBachelor's in Computer Science, experience with testing frameworks
Work EnvironmentDevelops and analyzes system performance, works closely with development teamsTests software quality, executes test plans, reports bugs
Employer & Industry UsageTech companies, software firms, e-commerce platformsSoftware companies, app developers, tech firms
Search & Comparison IntentPerformance optimization, system testing rolesSoftware testing, quality assurance roles

Remote Performance Engineers focus on optimizing system performance and analyzing bottlenecks, while Remote QA Engineers concentrate on testing software quality and identifying bugs. Both roles require technical skills and often work in similar tech environments, but their core responsibilities differ in focus and objectives.

What are the most commonly searched types of Performance Engineer jobs in California? The most popular types of Performance Engineer jobs in California are:
What are popular job titles related to Remote Performance Engineer jobs in California? For Remote Performance Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Performance Engineer jobs in California look for? The top searched job categories for Remote Performance Engineer jobs in California are:
What cities in California are hiring for Remote Performance Engineer jobs? Cities in California with the most Remote Performance Engineer job openings:
Remote Performance Engineer jobs near you
Infographic showing various Remote Performance Engineer job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Performance Engineer

Mercor

San Francisco, CA • Remote

$90 - $120/hr

Full-time

Posted 24 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Performance Engineer (C++, Python, Rust)
Type: Contract
Compensation: $90–$120/hour
Location: Remote

Role Responsibilities

  • Guide research and engineering teams to improve AI model performance in systems-level optimization, compiler engineering, and runtime performance.
  • Design challenging tasks across multiple specializations and write accurate solutions to performance engineering problems.
  • Evaluate tasks and solutions, providing clear, written technical feedback.
  • Develop guidelines and rubrics for assessing systems design quality, profiling methodology, and performance analysis.
  • Collaborate with subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 5+ years of experience in performance engineering, systems programming, or low-level optimization.
  • Expertise in C++ for performance-critical systems, including memory management and concurrency primitives.
  • Proficiency in Python for profiling and benchmarking; experience with Rust is a plus.
  • Track record of measurable performance improvements on production systems.
  • Ability to engage for at least 30 hours/week during weekdays.
  • Strong written communication skills.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.