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Software Engineer

San Jose, CA, US • Posted 5 hours ago • Updated 5 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Workflow
Data Management
Caching
Meta-data Management
Scalability
Replication
Lifecycle Management
Machine Learning (ML)
Large Language Models (LLMs)
Training
Computer Hardware
Benchmarking
Code Optimization
Documentation
Technical Drafting
Automated Testing
Computer Science
Computer Engineering
C
C++
Python
Operating Systems
Management
Multithreading
Concurrent Computing
Computer Networking
Performance Tuning
Linux
Performance Analysis
Data Storage
File Systems
Storage
IaaS
GPU
Rust
Kubernetes
Cloud Computing
Artificial Intelligence
GitHub
Software Development
Testing
Debugging
Software Architecture
Analytical Skill
Problem Solving
Conflict Resolution
Effective Communication
Collaboration

Workflow
Data Management
Caching
Meta-data Management
Scalability
Replication
Lifecycle Management
Machine Learning (ML)
Large Language Models (LLMs)
Training
Computer Hardware
Benchmarking
Code Optimization
Documentation
Technical Drafting
Automated Testing
Computer Science
Computer Engineering
C
C++
Python
Operating Systems
Management
Multithreading
Concurrent Computing
Computer Networking
Performance Tuning
Linux
Performance Analysis
Data Storage
File Systems
Storage
IaaS
GPU
Rust
Kubernetes
Cloud Computing
Artificial Intelligence
GitHub
Software Development
Testing
Debugging
Software Architecture
Analytical Skill
Problem Solving
Conflict Resolution
Effective Communication
Collaboration

Summary

Job Summary

We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI workloads. The ideal candidate has deep expertise in systems programming using C, a strong understanding of operating system internals, distributed systems, and data infrastructure, and is familiar with modern AI agents and AI-native development workflows.

This role focuses on building scalable, high-performance infrastructure that manages, protects, and accelerates data across on-premises, cloud, and AI environments.

Key Responsibilities

Design and develop core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems.
Develop high-performance, reliable software in C, C++, Python with an emphasis on scalability, efficiency, and resiliency.
Build and optimize data movement, replication, protection, and lifecycle management capabilities.
Design infrastructure that supports AI/ML pipelines, large language model (LLM) training, inference, and retrieval-augmented generation (RAG) workloads.
Collaborate with hardware, platform, networking, and cloud engineering teams to deliver end-to-end infrastructure solutions.
Optimize system performance through profiling, benchmarking, and low-level software optimization.
Leverage modern AI agents to improve software development, testing, debugging, documentation, and operational automation.
Participate in architecture reviews, code reviews, and technical design discussions.
Develop automated testing, observability, and reliability frameworks.

Skills and Qualifications

Required Skills

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
12+ years of experience developing systems software, operating systems, storage platforms, or distributed infrastructure.
Expert-level programming skills in C/C++, Python
Strong understanding of:
- Operating systems
- Memory management
- Multithreading and concurrency
- Networking fundamentals
- Distributed systems
- Performance optimization
Experience developing software on Linux.
Strong debugging and performance analysis skills.

Preferred Qualifications

Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
Knowledge of AI infrastructure and data pipelines supporting GPU clusters and large-scale AI workloads.
Experience with Rust, Go.
Familiarity with Kubernetes, containers, and cloud-native architectures.
Experience using AI coding assistants and autonomous AI agents (such as GitHub Copilot, OpenAI Codex, Claude Code, or similar tools) to accelerate software development, testing, and debugging.

Desired Skills

Strong systems thinking and software architecture skills.
Excellent analytical and problem-solving abilities.
Passion for building high-performance infrastructure software.
Effective communication and collaboration skills.
Ability to work across cross-functional engineering teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: cxnetapp
Position Id: 2a27ff6328e19b7ea294aab768935a58
Posted 5 hours ago

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