1 день назад
Intelligent Data Infrastructure Engineer (C/C++)
196 350 - 292 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intelligent Data Infrastructure Engineer (C/C++): Building and optimizing scalable infrastructure software for enterprise, cloud, and AI workloads with an accent on storage systems, distributed data management, and high-performance systems programming. Focus on designing data movement and replication capabilities, supporting LLM and RAG workloads, and solving complex performance, concurrency, reliability, and observability challenges.
Location: San Jose, California, United States; hybrid working environment with in-office and in-person expectations.
Salary: $196,350–$292,600 per year.
Company
provides intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise and AI workloads.
What you will do
- Design and develop core infrastructure software for storage, data management, caching, metadata services, and distributed systems.
- Build high-performance software in C, C++, and Python, focusing on scalability, efficiency, and resiliency.
- Develop data movement, replication, protection, and lifecycle management capabilities.
- Design infrastructure for AI/ML pipelines, LLM training and inference, and RAG workloads.
- Collaborate with hardware, platform, networking, and cloud engineering teams on end-to-end solutions.
- Improve performance, automated testing, observability, reliability, debugging, and operational automation using profiling and AI agents.
Requirements
- 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++ and Python.
- Strong knowledge of operating systems, memory management, multithreading, concurrency, networking, distributed systems, and performance optimization.
- Experience developing software on Linux, with strong debugging and performance analysis skills.
- Strong systems thinking, software architecture, analytical, communication, and collaboration skills.
Nice to have
- Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
- Knowledge of AI infrastructure, GPU clusters, and large-scale AI data pipelines.
- Experience with Rust or Go, plus Kubernetes, containers, and cloud-native architectures.
- Experience using AI coding assistants and autonomous AI agents for software development, testing, and debugging.
Culture & Benefits
- Hybrid work environment designed to support collaboration and flexibility.
- Health, life, retirement or pension, paid time off, and leave benefits, subject to regional policies.
- Performance-based incentives, employee stock purchase plan, and potential restricted stock units.
- Inclusive culture that values initiative, ownership, impact, creativity, and collaboration.
Hiring process
- Applications are reviewed only when submitted through the company website.
- Selected stages of the process may use AI tools to support human application evaluation and candidate selection.
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