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Remote Labview Jobs in California (NOW HIRING)

Sr SW Test Development Engineer - Remote

San Diego, CA · On-site +1

$117K - $152K/yr

San Diego, CA (Remote) Ocasional office visits required only for hardware pickup and meetings in San Diego, CA preferred; open to strong candidates outside San Diego,CA Only W2 candidates are ...

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in remote environments, enjoys solving complex problems, and wants to work on cutting-edge technology?

Showing results 21-40

Remote Labview information

See California salary details

$14

$21

$29

How much do remote labview jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for remote labview in California is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $23.70 per hour, depending on experience, location, and employer.

What is a Remote LabVIEW?

A Remote LabVIEW job involves designing, developing, and testing applications using LabVIEW software while working from a remote location. Engineers in this role create virtual instrumentation, automate data collection, and analyze test results for various industries, including automotive, aerospace, and manufacturing. They collaborate with teams using remote communication tools and may integrate hardware like NI data acquisition devices. Strong LabVIEW proficiency, troubleshooting skills, and experience with remote development workflows are essential for success in this role.

What types of projects and daily tasks should I expect as a Remote LabVIEW engineer?

As a Remote LabVIEW Engineer, you can expect to work on projects involving the design, implementation, and testing of automated systems for data acquisition, instrumentation, and control. Your daily tasks may include writing and debugging LabVIEW code, developing user interfaces, configuring hardware setups with National Instruments devices, and preparing detailed technical documentation. You’ll frequently collaborate with hardware and test engineering teams through virtual meetings and project management tools. This role typically requires strong organizational skills and the ability to independently manage milestones while maintaining clear communication with both technical and non-technical stakeholders. The constantly evolving nature of LabVIEW projects provides opportunities to expand your expertise and advance your career in automation and embedded systems.

What are the key skills and qualifications needed to thrive in the Remote LabVIEW position, and why are they important?

To thrive as a Remote LabVIEW Engineer, you need strong programming skills in LabVIEW, a solid background in electrical or computer engineering, and experience with test automation. Proficiency with NI hardware/software, familiarity with data acquisition systems, and often certification like NI Certified LabVIEW Developer (CLD) are typically required. Excellent communication, problem-solving abilities, and self-motivation are soft skills that set top candidates apart. These skills are essential for developing reliable automated systems, collaborating with cross-functional remote teams, and efficiently solving technical issues from a distance.

What are the most commonly searched types of Labview jobs in California?

The most popular types of Labview jobs in California are:

What cities in California are hiring for Remote Labview jobs?

Cities in California with the most Remote Labview job openings:

Infographic showing various Remote Labview job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $45,577 per year, or $21.9 per hour.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$60 - $85/hr

Full-time

Posted 2 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