NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

Your role will focus on supporting the translation of high‑level goals into practical, well‑defined specifications for platforms and datacenter architectures. You will assist senior engineers in developing, validating, and profiling reference cluster designs tailored for enterprise datacenter environments. A key part of your work will involve helping build and validate on‑premises, cloud‑native solutions that operate in on-prem enterprise AI deployments. This role is an excellent opportunity to learn through hands‑on collaboration, exposure to innovative technologies, and mentorship from experienced team members. Within the team, you will contribute to activities related to hardware infrastructure, cloud native software and enterprise automation. Foundational knowledge in areas such as virtualization, automation, basic service management, DevOps concepts, and security will help you ramp up quickly. The ideal junior candidate is eager to learn, passionate about technology, and developing a broad understanding of datacenter systems, networking, operating systems, and accelerator technologies. Familiarity with datacenter efficiency concepts and TCO analysis is helpful but not required. You will work closely with cloud teams, project managers, engineers, and cross‑functional groups, gaining experience and expanding your technical depth over time!

What you'll be doing:

• Contribute to deploying scalable datacenter enterprise AI/ML systems as part of a supportive team.
• Assist in deploying and validating cluster reference architectures, helping ensure they meet enterprise requirements.
• Work closely with experienced engineers across software, compute, networking, and storage to support ongoing innovation.
• Help deploy on‑premises cloud‑native solutions that integrate effectively with a variety of OEM partners.
• Learn and apply concepts related to design patterns, compute hardware design, component‑based architecture, and evolutionary architecture.
• Build foundational knowledge of cloud‑native architectural practices—including high availability, scalability, resilience, performance, and security—with a focus on compute environments.
• Support Agile and DevOps workflows, including basic deployment, automation, and CI/CD processes.
• Assist with TCO analysis by capturing data and helping identify opportunities to improve datacenter efficiency.
• Help identify operational improvement opportunities and collaborate with team members to enhance sustainability and operational perfection in cluster environments.

What we need to see:

• Bachelor’s degree or equivalent experience
• 2+ years proven experience
• Basic understanding of microservices, containers, and on‑prem cloud‑native platforms, plus willingness to develop customer‑communication skills.
• Introductory knowledge of high availability, scalability, and security concepts in compute environments, with enthusiasm for learning how these translate into customer value.
• Familiarity with Linux environments and scripting (Python or Bash) to reproduce demos, proofs of concept, or simple automation tasks.
• Exposure to infrastructure‑as‑code or monitoring tools (e.g., Ansible, Terraform, Grafana, Prometheus) and interest in assisting with technical demos, lab setups, or reference workflows
• Ability to assist in creating and maintaining technical marketing materials—such as solution briefs, slides, demo scripts, or Methods of Procedure (MoPs)—with support from senior team members.
• A collaborative mindset, comfortable working with distributed teams and subject‑matter experts to gather technical details, troubleshoot demo environments, and support customer evaluations.

Ways to stand out from the crowd:

• Show high energy, curiosity, and a positive, proactive approach to learning.
• Basic understanding of network topologies and load‑balancing concepts, with interest in developing deeper expertise.
• Familiarity with Python and a personal GitHub showcasing learning projects; exposure to Kubernetes, Widely considered to be one of the technology world's most desirable employer

NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com. Docker, or performance monitoring tools such as Grafana and Prometheus is a plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD.Applications for this job will be accepted at least until February 16, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.