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Remote Quantum Software Engineer Jobs in Simi Valley, CA

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

New

Fully Remote until West LA office opens - then 3x a week onsite in Los Angeles, CA Our client seeks a Senior Software Engineer to build scalable, secure, and resilient platform services. You will ...

Full Stack Software Engineer US Remote Offices in LosAngeles & Houston Mid-Level Role (5+ years of experience) Compensation: $140k - $160k base + bonus + benefits * Did you ever wonder how thousands ...

We are headquartered in Los Angeles, CA with both a local and remote team. We were founded and ... We're looking for a seasoned Engineer with substantial experience building highly performant ...

Showing results 21-40

Remote Quantum Software Engineer information

See Simi Valley, CA salary details

$65.6K

$152.3K

$212.1K

How much do remote quantum software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote quantum software engineer in Simi Valley, CA is $152,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $178,600.00 per year, depending on experience, location, and employer.

What is a remote quantum software engineer?

Remote Quantum Software Engineers are professionals who develop, test, and optimize software for quantum computers while working outside of a traditional office environment. They use their knowledge of quantum mechanics, computer science, and programming languages (such as Qiskit or Cirq) to create algorithms and applications that run on quantum hardware or simulators. These engineers collaborate with teams remotely, contributing to advancements in quantum computing, cryptography, and other cutting-edge fields. Their work often involves research, simulation, and integration of quantum solutions with classical computing systems.

What are the key skills and qualifications needed to thrive as a remote quantum software engineer?

To thrive as a Remote Quantum Software Engineer, you need strong knowledge of quantum mechanics, computer science fundamentals, and proficiency in programming languages like Python, as well as a relevant degree in physics, computer science, or engineering. Familiarity with quantum computing frameworks such as Qiskit, Cirq, or Q# and experience using cloud-based quantum platforms are typically required. Excellent problem-solving abilities, clear communication, and self-motivation are crucial soft skills for collaborating remotely and advancing complex projects. These skills and qualities are essential for developing efficient quantum algorithms and effectively contributing to distributed teams in a cutting-edge, rapidly evolving field.

How do remote quantum software engineers typically collaborate with research and development teams across different time zones?

Remote Quantum Software Engineers often work closely with multidisciplinary teams, including physicists, algorithm developers, and hardware engineers. Collaboration is usually facilitated through digital communication tools like Slack, GitHub, and video conferencing, enabling team members to share code, research findings, and project updates asynchronously. Adapting to varying time zones may require flexibility with meeting schedules and clear documentation practices to ensure smooth handoffs and project continuity. This structure supports effective teamwork while allowing engineers to contribute from anywhere in the world.

What is the difference between Remote Quantum Software Engineer vs Quantum Software Developer?

AspectRemote Quantum Software EngineerQuantum Software Developer
Required CredentialsDegree in Computer Science, Physics, or related field; knowledge of quantum algorithmsSimilar credentials; often includes programming and physics background
Work EnvironmentRemote, collaborative teams, often in tech or research companiesRemote or on-site, primarily in research labs or tech firms
Industry UsageTech companies, startups, research institutionsResearch labs, tech firms, academia
Common Search/ComparisonYesYes

The main difference is that Remote Quantum Software Engineers typically focus on developing and implementing quantum algorithms remotely within tech or research teams, while Quantum Software Developers may be more involved in research or academic projects. Both roles require similar skills and credentials, but their work environments and industry applications can vary slightly.

How much does a remote quantum software engineer make?

Remote quantum software engineers typically earn between $100,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior roles or those with specialized skills in quantum algorithms and programming languages like Qiskit or Cirq may offer higher salaries. Compensation can also vary based on the company's size and industry focus on quantum computing research or development.

What are popular job titles related to Remote Quantum Software Engineer jobs in Simi Valley, CA?

For Remote Quantum Software Engineer jobs in Simi Valley, CA, the most frequently searched job titles are:

What cities near Simi Valley, CA are hiring for Remote Quantum Software Engineer jobs?

Cities near Simi Valley, CA with the most Remote Quantum Software Engineer job openings:

Infographic showing various Remote Quantum Software Engineer job openings in Simi Valley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $152,288 per year, or $73.2 per hour.

CUDA Software Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$60 - $100/hr

Full-time

Posted yesterday

New


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: 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, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.