Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Ansible
CI/CD
Chef
Communication @ 7
Git
Go @ 7
IaC
Mentoring
Microservices @ 6
Networking @ 4
Puppet
Python @ 7
Rust @ 7
Security @ 4
Software Development @ 7
Technical Leadership
Terraform
macOS @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
This Senior Staff Client Platform Engineer role is a high-impact technical leadership position dedicated to architecting the NVIDIA’s next-generation client platforms. You will move beyond traditional management to build scalable, automated, agentic ecosystems that define the future of global endpoint infrastructure. In this role, you will set the vision for platform service delivery, lead multi-functional initiatives, and drive measurable improvements in reliability, security, and developer productivity through advanced software engineering practices.
Responsibilities
- Architect and build scalable tooling and services for client platforms, establishing the end-to-end technical strategy for platform automation and service delivery.
- Apply deep codified principles to ensure repeatable, auditable, and version-controlled changes across a global, heterogeneous client environment.
- Set and enforce technical standards for platform automation, mentoring other engineers and driving the adoption of modern software engineering practices across IT.
- Collaborate with Security, Networking, and Product teams to systematically improve platform reliability and the internal developer experience.
- Serve as the primary architect for sophisticated service delivery challenges, driving root-cause analysis and long-term remediation for core platform services.
- Influence and recommend changes to policies, standards, and architectural direction, and establish procedures that impact multiple teams or the broader organization.
Requirements
- BS/MS or equivalent experience in Engineering or Computer Science
- 12+ years of experience in Client Platform Engineering
- Expert-level client platform engineering experience with a proven track record of managing global endpoint fleets at scale.
- Mastery of Configuration as Code and Infrastructure as Code methodologies (e.g., Terraform, Ansible, Chef, or Puppet) and Git-based CI/CD workflows.
- Demonstrated success in building internal tooling, CLI tools, or microservices that automate complex platform operations.
- Strong proficiency in software development (e.g., Python, Go, or Rust) applied specifically to systems engineering and platform tooling.
- Strong communication and partner management skills, with the ability to align diverse teams around a common platform vision.
Ways to stand out from the crowd
- Strong experience in Windows client environment engineering, particularly in large-scale enterprise settings.
- Familiarity with building AI models or agents to enhance platform automation and self-healing capabilities.
- Sincere dedication to the end-user experience, with a history of using data and feedback to drive user-focused platform improvements.
- Experience with macOS client platform engineering.
Benefits
- You will also be eligible for equity and benefits.