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 September 12, 2026
- Open roles
- 5
- Employers
- 5
- Median pay
- —
- Disclose pay
- —
on Career App right now
hiring for it
not enough disclosed
of these roles
Open roles requiring Distributed Computing (5)
NCX Senior Engineer
NVIDIA
$184,000 – $356,500
NVIDIA is hiring a senior engineer to provide hands-on technical support for large-scale AI deployments on their cloud platforms, working directly with enterprise customers to optimize distributed training, inference, and MLOps infrastructure. This role suits experienced infrastructure engineers or solutions architects comfortable troubleshooting complex production systems and guiding customer teams on GPU-accelerated platforms.
Listed on NVIDIA’s careers site · Apply there ↗
Senior Machine Learning Engineer, Ads Modeling
Unity
Mountain View, CA · $160,000 – $250,000
Senior machine learning engineer role focused on building and improving ad recommendation models for Unity's advertising platform using deep learning and user behavior data. Suits experienced ML practitioners who want to work on high-scale, real-world problems and see their research move into production.
Listed on Unity’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 ↗
Principal Engineer, Data & ML Infrastructure
Motional
Full-time · Boston, MA · $200,000 – $275,000 · Remote
Lead a team building data validation and analysis infrastructure for autonomous vehicle machine learning models at scale. This role suits experienced technical leaders with strong data engineering and ML expertise who can drive innovation across large distributed systems supporting hundreds of developers.
Listed on Motional’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 ↗
Asked for alongside Distributed Computing
Measured from the 5 open roles that name Distributed Computing — not from a curated list.
- Python5 roles100.0%
- Machine Learning3 roles60.0%
- PyTorch3 roles60.0%
Roles that use Distributed Computing
Employers hiring for Distributed Computing
5 in total, most open roles first.
- AAccenture1 role
- MPMenlo Ventures Portfolio1 role
- MMotional1 role
- NVIDIA1 role
- UUnity1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.