Skip to main content
CareerApp

Skill

Distributed Computing

Software Development and Engineering Practices

Distributed computing is a field of computer science in which a computational task is split across multiple networked machines that work together and communicate to achieve a common goal, rather than relying on a single computer. It underlies technologies like cloud computing, big data processing frameworks (e.g., Hadoop, Spark), and blockchain systems. Software engineers use distributed computing principles to build scalable, fault-tolerant systems that can handle large workloads across many servers.

Distributed Computing in the job market

Last checked October 28, 2026

Open roles
3

on Career App

Employers
3

hiring for it

Median pay
—

not enough disclosed

Disclose pay
—

of these roles

Open roles requiring Distributed Computing (3)

NVIDIA

Senior Systems Software Engineer - Advanced Technology Group

NVIDIA

Full-time · Hillsboro, OR · $152,000 – $287,500

This role develops advanced computational software for semiconductor manufacturing and design at NVIDIA, leveraging GPU acceleration to solve complex problems in areas like distributed computing and optics. It suits experienced software architects and researchers who want to drive innovation from invention through production in a technical leadership capacity.

Listed on NVIDIA’s careers site · Apply there ↗

AI/ML Computational Scientist

Accenture

€1,900 – €4,700 / month

Accenture seeks an AI/ML Computational Scientist to design, build, and deploy machine learning solutions for enterprise clients, working across the full lifecycle from problem assessment through production operations. This role suits experienced ML engineers who can combine custom models with cloud services, optimize data pipelines, and communicate technical solutions to non-technical stakeholders.

Listed on Accenture’s careers site · Apply there ↗

Research Engineer, Production Model Post-Training

Menlo Ventures Portfolio

Full-time · New York, NY · $350,000 – $500,000

This role involves implementing and optimizing post-training techniques for Anthropic's large language models, translating research methods like Constitutional AI and RLHF into production systems. It suits engineers who combine strong software skills with deep learning expertise and thrive balancing research innovation with operational reliability at scale.

Listed on Menlo Ventures Portfolio’s careers site · Apply there ↗

Roles that use Distributed Computing

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.