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Remote Functional Programming Jobs in California

YO AI Labs

CUDA Software Engineer - Remote

Los Angeles, CA · Remote

$60 - $100/hr

Collaborate with remote, cross-functional teams. Required Qualifications * Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development skills. * Hands-on experience ...

Posted today

YO AI Labs

CUDA Software Engineer - Remote

San Jose, CA · Remote

$60 - $100/hr

Collaborate with remote, cross-functional teams. Required Qualifications * Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development skills. * Hands-on experience ...

Posted today

YO AI Labs

CUDA Software Engineer - Remote

Palo Alto, CA · Remote

$60 - $100/hr

Collaborate with remote, cross-functional teams. Required Qualifications * Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development skills. * Hands-on experience ...

Posted today

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Remote Functional Programming information

What is a remote functional programming job?

A Remote Functional Programming job involves writing and maintaining software using functional programming languages like Haskell, Scala, or Clojure while working from a remote location. These roles focus on concepts such as immutability, first-class functions, and higher-order functions to create robust and scalable applications. Developers collaborate with distributed teams using online communication tools, version control, and cloud-based development environments.

What are the key skills and qualifications needed to thrive in a remote functional programming role?

To thrive in a Remote Functional Programming role, you need deep knowledge of functional programming languages (such as Haskell, Scala, Erlang, or Clojure), strong problem-solving abilities, and experience designing immutable, stateless systems. Proficiency with distributed version control (e.g., Git), CI/CD pipelines, and cloud platforms are commonly required, and certifications in relevant languages or frameworks can be advantageous. Excellent written communication, self-motivation, and collaboration skills help you succeed in distributed, asynchronous team environments. These skills are crucial for delivering high-quality, maintainable code while effectively navigating the unique challenges of remote development teams.

What are some common challenges of working remotely in a functional programming role, and how can I overcome them?

Working remotely in a functional programming position often involves navigating time zone differences, limited face-to-face interaction, and the need for proactive communication with team members. To overcome these challenges, it's important to make use of collaborative tools like Slack, code review platforms, and project management software while maintaining clear documentation of your work and design decisions. Regular check-ins, pairing sessions, and participating in virtual code reviews can help foster team alignment and knowledge sharing. Establishing a structured daily routine and setting clear boundaries also play a key role in staying productive and maintaining a healthy work-life balance.

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

The most popular types of Functional Programming jobs in California are:

What are popular job titles related to Remote Functional Programming jobs in California?

For Remote Functional Programming jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Functional Programming jobs in California look for?

The top searched job categories for Remote Functional Programming jobs in California are:

What cities in California are hiring for Remote Functional Programming jobs?

Cities in California with the most Remote Functional Programming job openings:

Remote Functional Programming jobs near you

CUDA Software Engineer - Remote

YO AI Labs

Los Angeles, CA • Remote

$60 - $100/hr

Full-time

Posted 7 hours ago

Posted today

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.