ZipRecruiter

Log In

2

Remote Process Engineer Jobs in Washington, DC (NOW HIRING)

CGI Inc.

Remote Support Engineer, Junior

Arlington, VA · On-site +1

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United ... Contributing to the improvement of support processes and workflows. Required qualifications to be ...

Accrete

Senior Platform Engineer (Remote)

Alexandria, VA · Remote

$180K - $200K/yr

In person in Lower Manhattan, NY or Alexandria, VA or Remote About Accrete: Accrete is a dynamic ... Collaborate with software engineers, QA, and security teams to ensure robust CI/CD processes.

YO AI Labs

CUDA Engineering Expert - Remote

Washington, DC · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Document optimization processes, findings, and performance improvements. * Contribute to GPU ...

Posted today

previous pagenext page

Showing results 21-40

All JobsProcess Engineer JobsRemote Process Engineer JobsRemote Process Engineer Jobs in Washington, DC

Remote Process Engineer information

See Washington, DC salary details

$56.1K

$104.2K

$161.4K

How much do remote process engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote process engineer in Washington, DC is $104,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $116,700.00 per year, depending on experience, location, and employer.

What is a remote process engineer?

A Remote Process Engineer is responsible for designing, analyzing, and optimizing manufacturing or business processes while working remotely. They use data analysis, simulations, and process improvement techniques to enhance efficiency, reduce costs, and improve quality. This role often involves collaborating with cross-functional teams through virtual communication tools. Industries such as manufacturing, energy, and technology frequently hire remote process engineers to streamline operations. Strong problem-solving, technical expertise, and communication skills are essential for success in this role.

What does a remote process engineer do?

A typical day for a Remote Process Engineer involves analyzing process data, developing optimization strategies, creating technical documentation, and conducting virtual meetings with cross-functional teams such as operations, quality assurance, and project management. Much of the communication is carried out via video conferencing, collaborative project platforms, and email, making it important to be proactive and clear in updates. While working offsite, you'll still be expected to participate in team meetings, report progress, and seek input from on-site staff when needed. This structure enables you to maintain close collaboration and contribute meaningfully to project goals, despite the physical distance.

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

A Remote Process Engineer needs a strong background in engineering principles, process optimization, and data analysis, typically supported by a degree in chemical, mechanical, or industrial engineering. Familiarity with process simulation software (like Aspen HYSYS or AutoCAD), Six Sigma or Lean certifications, and experience with remote collaboration tools are usually required. Excellent communication skills, problem-solving abilities, and self-motivation are crucial to excel in a remote setting. These skills and qualities are vital to ensure efficient project execution, effective remote collaboration, and continuous improvement of processes in a distributed work environment.

What are the most commonly searched types of Process Engineer jobs in Washington, DC?

The most popular types of Process Engineer jobs in Washington, DC are:

What are popular job titles related to Remote Process Engineer jobs in Washington, DC?

For Remote Process Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Process Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Process Engineer jobs in Washington, DC are:

Remote Process Engineer jobs near you
Infographic showing various Remote Process Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,219 per year, or $50.1 per hour.

CUDA Software Engineer - Remote

YO AI Labs

Washington, DC • 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.