📍 Job Overview

Job Title: Senior System Software Engineer - Cloud Storage
Company: NVIDIA
Location: Hyderabad, Telangāna, India
Job Type: On-site, Full-time
Category: System Software Engineer
Date Posted: 2025-07-04
Experience Level: 10+ years

🚀 Role Summary

Design, develop, and implement innovative, high-performance, distributed, software-defined block storage solutions for AI factory and cloud computing platforms.
Collaborate with cross-functional teams to define and implement robust storage algorithms, data management strategies, and distributed systems principles.
Optimize system performance and reliability through in-depth analysis and low-level tuning.
Stay updated with industry trends and contribute to open source projects.

📝 Enhancement Note: This role requires a strong background in distributed systems, block storage, and cloud environments, with a focus on performance optimization and reliability.

💻 Primary Responsibilities

End-to-End Design and Development: Own the end-to-end design and development of high-performance, distributed, software-defined block storage solutions, challenging existing paradigms and exploring novel approaches.
Cross-Functional Collaboration: Work closely with networking teams, hardware teams, and external customers to define and implement robust storage algorithms and data management strategies.
Architecture and Integration: Drive architecture and integration with cloud-native platforms, ensuring alignment with industry standards and best practices.
Performance Optimization: Optimize system performance and reliability through in-depth analysis and low-level tuning, leveraging expertise in C/C++ programming and Linux kernel internals.
Industry Trends and Open Source Contribution: Stay updated with the latest industry trends and contribute to open source projects, fostering a collaborative and innovative work environment.

📝 Enhancement Note: This role requires a deep understanding of distributed systems, storage protocols, and networking fundamentals, with a strong emphasis on performance optimization and debugging complex problems.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Computer Science or Electrical Engineering.

Experience: 8+ years of experience in development, with a strong focus on distributed systems, block storage, and cloud environments.

Required Skills:

C/C++ Programming
Linux Kernel Internals (block subsystem, IO stack, memory management, and scheduling)
Distributed Systems
Block Storage and Networking Systems
Cloud Environments
Storage Protocols and Standards (especially NVMe)
Networking Fundamentals (Linux-based networking environments)
RDMA Technologies (Infiniband, RoCE, iWARP, RDMA programming models, control, and data paths)
Cloud Computing Concepts (virtualization, scalability, and data management)
Debugging and Problem-Solving Skills
Excellent Communication and Collaboration Skills

Preferred Skills:

Experience with open source contributions
Familiarity with AI factory and cloud computing platforms
Knowledge of performance profiling and optimization tools

📝 Enhancement Note: Candidates should have a strong background in C/C++ programming and Linux kernel internals, with a proven track record in designing and developing distributed systems, especially in block storage and cloud environments.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate expertise in C/C++ programming and Linux kernel internals through relevant projects and code samples.
Showcase experience in designing and developing distributed systems, with a focus on block storage and cloud environments.
Highlight problem-solving skills and performance optimization techniques through case studies and live demos.
Display familiarity with storage protocols, networking fundamentals, and RDMA technologies through relevant projects or blog posts.

Technical Documentation:

Provide detailed documentation of your projects, including architecture decisions, implementation details, and performance metrics.
Include code comments and inline documentation to showcase your coding standards and best practices.
Demonstrate understanding of version control systems and deployment processes through your project history and collaboration workflows.

📝 Enhancement Note: Candidates should be prepared to discuss their portfolio projects in-depth, focusing on architecture decisions, performance optimization techniques, and problem-solving approaches relevant to distributed systems, block storage, and cloud environments.

💵 Compensation & Benefits

Salary Range: INR 25,00,000 - 35,00,000 per annum (based on experience and skills)

Benefits:

Competitive salary and aggressive compensation plan
Opportunity to work on cutting-edge products and technologies
Collaborative work environment with smart and innovative team members
Comprehensive benefits package (not specified in the job listing)

Working Hours: 40 hours per week, with flexible working hours and maintenance windows as needed.

📝 Enhancement Note: The salary range is estimated based on industry standards for senior system software engineers with 8+ years of experience in distributed systems, block storage, and cloud environments. The actual salary may vary based on individual qualifications and company-specific factors.

🎯 Team & Company Context

🏢 Company Culture

Industry: Semiconductor and graphics processing units (GPUs) for gaming, professional, data center, and AI markets.

Company Size: Large (over 10,000 employees)

Founded: 1993

Team Structure:

The block storage group focuses on building next-generation block storage capabilities.
The team works closely with networking teams, hardware teams, and external customers.
The team is part of a global organization with a strong focus on innovation and collaboration.

Development Methodology:

Agile/Scrum methodologies with sprint planning for web projects.
Code review, testing, and quality assurance practices.
Deployment strategies, CI/CD pipelines, and server management.

Company Website: NVIDIA

📝 Enhancement Note: NVIDIA is a large, globally recognized company with a strong focus on innovation and collaboration. The company's culture encourages pushing the boundaries of what is possible and defining the platform of tomorrow.

📈 Career & Growth Analysis

Web Technology Career Level: Senior System Software Engineer - focuses on designing, developing, and implementing high-performance, distributed, software-defined block storage solutions for AI factory and cloud computing platforms.

Reporting Structure: This role reports directly to the team lead or manager within the block storage group.

Technical Impact: This role has a significant impact on the development and implementation of advanced storage services, meeting extreme performance and scalability demands.

Growth Opportunities:

Technical leadership and architecture decision-making opportunities.
Specialization in specific areas of block storage, cloud environments, or emerging technologies.
Mentorship and knowledge-sharing opportunities within the team and across the organization.

📝 Enhancement Note: This role offers significant growth opportunities for technical leadership, specialization, and mentorship within the block storage group and across the organization.

🌐 Work Environment

Office Type: On-site, with a collaborative work environment that encourages cross-functional integration and knowledge sharing.

Office Location(s): Hyderabad, Telangāna, India

Workspace Context:

Collaborative workspace with multiple monitors and testing devices available.
Cross-functional collaboration opportunities with networking teams, hardware teams, and external customers.
Flexible working hours and deployment windows as needed.

Work Schedule: 40 hours per week, with flexible working hours and maintenance windows as needed.

📝 Enhancement Note: The work environment at NVIDIA is collaborative and innovative, with a strong emphasis on cross-functional integration and knowledge sharing. The company offers flexible working hours and deployment windows as needed.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on coding or configuration assessment focused on distributed systems, block storage, and cloud environments.
System Design Discussion: A discussion on web architecture expectations, system design, and optimization strategies.
Team Interaction: Interaction with the web development team to assess cultural fit and collaboration skills.
Final Evaluation: A final evaluation based on technical impact, problem-solving skills, and cultural fit.

Portfolio Review Tips:

Highlight projects that demonstrate expertise in distributed systems, block storage, and cloud environments.
Focus on architecture decisions, performance optimization techniques, and problem-solving approaches.
Prepare a live demo or presentation of your projects, showcasing your technical skills and communication abilities.

Technical Challenge Preparation:

Brush up on your C/C++ programming skills and Linux kernel internals.
Familiarize yourself with distributed systems, block storage, and cloud environments.
Prepare for problem-solving questions focused on performance optimization and debugging complex problems.

ATS Keywords: (Organized by category)

Programming Languages: C, C++, Linux Kernel Internals
Web Frameworks & Libraries: N/A
Server Technologies: Distributed Systems, Block Storage, Cloud Environments
Databases: N/A
Tools: Linux, Git, Performance Profiling Tools
Methodologies: Agile, Scrum, CI/CD
Soft Skills: Collaboration, Communication, Problem-Solving, Debugging
Industry Terms: Storage Protocols, NVMe, RDMA Technologies, AI Factory, Cloud Computing

📝 Enhancement Note: The interview process for this role is technical and comprehensive, focusing on distributed systems, block storage, and cloud environments. Candidates should be prepared to discuss their portfolio projects in-depth and demonstrate their problem-solving skills and communication abilities.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on system software engineering)

Backend & Server Technologies:

C/C++ Programming
Linux Kernel Internals (block subsystem, IO stack, memory management, and scheduling)
Distributed Systems
Block Storage and Networking Systems
Cloud Environments
Storage Protocols and Standards (especially NVMe)
RDMA Technologies (Infiniband, RoCE, iWARP, RDMA programming models, control, and data paths)

Development & DevOps Tools:

Linux, Git
Performance Profiling Tools
CI/CD Pipelines

📝 Enhancement Note: This role requires a strong background in C/C++ programming and Linux kernel internals, with a focus on distributed systems, block storage, and cloud environments. Familiarity with performance profiling tools and CI/CD pipelines is also essential.

👥 Team Culture & Values

Web Development Values:

Innovation and pushing the boundaries of what is possible.
Collaboration and knowledge sharing across teams and disciplines.
Performance optimization and reliability, with a focus on extreme performance and scalability demands.
Open source contributions and staying updated with industry trends.

Collaboration Style:

Cross-functional integration with networking teams, hardware teams, and external customers.
Code review culture and peer programming practices.
Knowledge sharing, technical mentoring, and continuous learning.

📝 Enhancement Note: NVIDIA's team culture is collaborative and innovative, with a strong emphasis on pushing the boundaries of what is possible and fostering a culture of knowledge sharing and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Designing and developing high-performance, distributed, software-defined block storage solutions for AI factory and cloud computing platforms.
Optimizing system performance and reliability through in-depth analysis and low-level tuning.
Staying updated with industry trends and contributing to open source projects.

Learning & Development Opportunities:

Specialization in specific areas of block storage, cloud environments, or emerging technologies.
Technical leadership and architecture decision-making opportunities.
Mentorship and knowledge-sharing opportunities within the team and across the organization.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities, with a focus on designing, developing, and implementing advanced storage services for AI factory and cloud computing platforms.

💡 Interview Preparation

Technical Questions:

Distributed Systems: Questions focused on distributed systems principles, data management strategies, and consensus algorithms.
Block Storage: Questions focused on block storage protocols, data management, and performance optimization techniques.
Cloud Environments: Questions focused on cloud computing concepts, virtualization, scalability, and data management.
Linux Kernel Internals: Questions focused on Linux kernel internals, memory management, and scheduling.

Company & Culture Questions:

Questions focused on NVIDIA's company culture, innovation, and collaboration.
Questions focused on the team's work environment, cross-functional integration, and knowledge sharing.

Portfolio Presentation Strategy:

Prepare a live demo or presentation of your projects, showcasing your technical skills and communication abilities.
Focus on architecture decisions, performance optimization techniques, and problem-solving approaches relevant to distributed systems, block storage, and cloud environments.
Tailor your presentation to highlight your relevant skills and experiences for this role.

📝 Enhancement Note: The interview process for this role is technical and comprehensive, focusing on distributed systems, block storage, and cloud environments. Candidates should be prepared to discuss their portfolio projects in-depth and demonstrate their problem-solving skills and communication abilities.

📌 Application Steps

To apply for this Senior System Software Engineer - Cloud Storage position:

Submit your application through the application link provided.
Customize your resume and portfolio to highlight your relevant skills and experiences in distributed systems, block storage, and cloud environments.
Prepare for technical interview questions focused on distributed systems, block storage, and cloud environments, as well as Linux kernel internals and performance optimization techniques.
Research NVIDIA's company culture, innovation, and collaboration to prepare for company-specific questions and team fit assessment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior System Software Engineer - Cloud Storage