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Remote Performance Engineer Jobs in California (NOW HIRING)

YO AI Labs

CUDA Engineering Expert - Remote

Palo Alto, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Identify performance bottlenecks and develop targeted optimization strategies. * Refactor C++ and ...

New

YO AI Labs

AI Consulting Expert - Remote

Palo Alto, CA · Remote

$100 - $200/hr

Provide actionable feedback and recommendations to improve AI model performance. * Collaborate ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

AI Consulting Expert - Remote

San Jose, CA · Remote

$100 - $200/hr

Provide actionable feedback and recommendations to improve AI model performance. * Collaborate ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Adobe

Senior Build Engineer (Mobile Platform)

San Jose, CA · Remote

$156K - $195K/yr

You will design and operate high-performance build systems and resilient delivery pipelines that ... Enable scalable remote caching and distributed build execution strategies * Apply AI-assisted ...

YO AI Labs

GPU Programmer - Remote

San Jose, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

New

YO AI Labs

GPU Programmer - Remote

Los Angeles, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

New

YO AI Labs

GPU Programmer - Remote

San Francisco, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

New

YO AI Labs

GPU Programmer - Remote

San Francisco, CA · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

New

YO AI Labs

CUDA Developer - Remote

Palo Alto, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Identify performance bottlenecks and develop targeted optimization strategies. * Refactor C++ and ...

New

YO AI Labs

CUDA Developer - Remote

San Francisco, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Identify performance bottlenecks and develop targeted optimization strategies. * Refactor C++ and ...

New

YO AI Labs

CUDA Developer - Remote

San Jose, CA · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Identify performance bottlenecks and develop targeted optimization strategies. * Refactor C++ and ...

New

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Remote Performance Engineer information

What is a remote performance engineer?

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.

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 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.

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 August 2026, with employment types broken down into 86% Full Time, 2% Part Time, and 12% Contract. Highlights an 100% Remote job distribution.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

San Jose, CA • Remote

$60 - $85/hr

Full-time

Posted 3 days ago

New

Job description

GPU Programmer / Software Engineer

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities

  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications

  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan