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Remote Ran Optimization Engineer Jobs in California

YO AI Labs

CUDA Developer - Remote

Palo Alto, CA · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

YO AI Labs

CUDA Developer - Remote

Los Angeles, CA · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

YO AI Labs

AI/ML Software Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

YO AI Labs

AI/ML Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

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Remote Ran Optimization Engineer information

What is the difference between Remote Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectRemote Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsTypically requires a degree in telecommunications, certifications like Nokia, Ericsson, or vendor-specific trainingSimilar credentials, often with certifications in radio network design and optimization
Work EnvironmentPrimarily remote, collaborating with teams across locations, using remote toolsUsually onsite or hybrid, with field visits for testing and adjustments
Industry UsageCommon in telecom providers, network vendors, and remote service providersUsed in telecom companies, network operators, and infrastructure firms

Both roles focus on optimizing radio networks, but the Remote Ran Optimization Engineer emphasizes remote work and virtual collaboration, while the Radio Network Optimization Engineer may involve more onsite activities. Both require similar technical skills and certifications, with the main difference being the work environment.

What are the most commonly searched types of Ran Optimization Engineer jobs in California?

The most popular types of Ran Optimization Engineer jobs in California are:

What are popular job titles related to Remote Ran Optimization Engineer jobs in California?

For Remote Ran Optimization Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Ran Optimization Engineer jobs in California look for?

The top searched job categories for Remote Ran Optimization Engineer jobs in California are:

What cities in California are hiring for Remote Ran Optimization Engineer jobs?

Cities in California with the most Remote Ran Optimization Engineer job openings:

Remote Ran Optimization Engineer jobs near you
Infographic showing various Remote Ran Optimization Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

GPU Programming Software Engineer Expert - Remote

Palo Alto, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$60 - $85/hr

Full-time

Posted 22 days ago

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