Senior System Software Engineer, Cloud Software and Infrastructure at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Gaming, Cloud Computing, AIIndustries

Requirements

  • BS or MS Degree in Computer Science or a related field from an accredited university/college or equivalent experience
  • 5+ years of hands-on software engineering or equivalent experience
  • Experience contributing to the architecture and implementation of distributed systems
  • Familiarity with software-defined storage and storage protocols (NFS, CIFS, iSCSI, block, and object storage), and experience in developing and debugging storage applications and performance issues in distributed storage
  • Good working and hands-on knowledge of Kubernetes concepts, along with a strong understanding of operating systems (Windows and Linux) and familiarity with virtualization technologies (e.g., VMware, KVM, Hyper-V)
  • Proficiency in at least one programming language (e.g., C/C++, Go, Python, Java, Shell, or PowerShell) and solid algorithm and data structure skills
  • Experience with DevOps concepts and tools like GitLab, Jenkins, or Ansible, and automation for testing and deployment
  • Good problem-solving, programming, and scripting skills, with an understanding of system design in distributed systems
  • Ability to learn, adapt, and pivot within a fast-paced and growing environment
  • Effective communication and interpersonal skills, capable of collaborating across various departments with a proactive attitude and willingness to take ownership of tasks

Responsibilities

  • Apply knowledge of system software, algorithms, and computer architecture to develop robust, scalable, and efficient solutions for cloud-based systems and software
  • Prototype and evaluate software enhancements within various cloud subsystems to validate the feasibility of novel architectures
  • Collaborate with multi-functional teams, participate in gathering requirements, developing, debugging, and supporting production services
  • Contribute to optimizations in software performance, efficiency, scalability, reliability, cost-effectiveness, security, and automation
  • Actively participate in design and code reviews, debugging processes, software maintenance, and the documentation of functionalities
  • Adhere to standardization, standard methodologies, and collaborate across diverse teams
  • Receive guidance and mentorship to deliver high-quality code and adhere to established guidelines

Skills

Key technologies and capabilities for this role

System SoftwareCloud InfrastructureGPUAlgorithmsComputer ArchitectureSoftware DevelopmentPrototypingDebuggingCode ReviewsPerformance OptimizationScalabilityReliabilityAutomationGeForce NOW

Questions & Answers

Common questions about this position

What degree and experience are required for this Senior System Software Engineer role?

A BS or MS Degree in Computer Science or a related field from an accredited university/college or equivalent experience is required, along with 5+ years of hands-on software engineering or equivalent experience.

What technical skills are needed for this position?

Candidates need experience contributing to the architecture and implementation of distributed systems, familiarity with software-defined storage and storage protocols (NFS, CIFS, iSCSI, block, and object storage), hands-on knowledge of Kubernetes concepts, understanding of operating systems (Windows and Linux), familiarity with virtualization technologies (e.g., VMware, KVM, Hyper-V), and proficiency in at least one programming language (e.g., C/C++, Go, Python).

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at NVIDIA for this team?

You'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work, with collaboration across diverse teams and opportunities for guidance and mentorship.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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