Principal Software Engineer - Rack Scale Systems Infrastructure
Principal engineer defining the software architecture for NVIDIA's rack-scale infrastructure products — building control planes, orchestration, firmware/OS lifecycle, and networking fabric software that turns complex GPU rack hardware into dependable, programmable infrastructure. Core stack: Go/C++/Rust, Kubernetes, Linux, and data-center networking (InfiniBand, RDMA, BMC management).
- Compensation
- $272K–$431.3K / yr
- Location
- United States
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 15+ years
- Category
- Software engineering
- Posted
Skills
Must have
- BS or MS in Computer Engineering, Computer Science, Electrical Engineering, or related field, or equivalent experience
- 15+ years experience in systems architecture, system software, distributed systems, infrastructure control planes, or infrastructure engineering
- Architectural knowledge of coordination frameworks, state machines, declarative APIs, reconciliation loops, lifecycle orchestration, failure handling, upgrade/rollback workflows, and distributed syste
- Practical production coding skills in Go, C++, or Rust (Rust experience highly valued)
- Experience with Kubernetes or similar orchestration systems used as a fabric for managing infrastructure or hardware resources
- Experience with Linux-based infrastructure software, OS rollout and image management, kernel/driver interactions, firmware lifecycle, and hardware bring-up workflows
- Strong understanding of data center networking technologies and protocols such as Ethernet, InfiniBand, RDMA, and fabric-level manageability
- Experience with accelerator-based systems including GPUs, DPUs, FPGAs, custom silicon, or other HPC systems
- Expertise in in-band and out-of-band management architectures, including BMCs, Redfish, IPMI, and related system management protocols
- Ability to define practical tradeoffs across secure boot, attestation, access control, update safety, serviceability, and ease of operation
- Experience crafting software intended for open source release, including API stability, modularity, and documentation
- Experience using AI-assisted development tools responsibly for coding, test generation, debugging, build iteration, and documentation
- Skill in specifying requirements, guiding architecture, and managing delivery across multiple engineering teams
- Strong written and verbal communication skills to explain complex hardware/software tradeoffs to leaders, customers, partners, and executives
Nice to have
- Built software supporting multiple adoption models — internal services, CSP-integrated offerings, reusable libraries, customer-extensible APIs
- Strong Rust skills in systems, infrastructure, or hardware-adjacent software
- Multiplied team impact through reference implementations, design reviews, shared libraries, architecture docs, and AI-assisted engineering
- Hands-on with fleet-scale provisioning, updates, rollback, observability, health, and remediation
- Led across the full data center product lifecycle: inception, pre- and post-silicon, manufacturing, deployment, and operations
- Familiar with open source ecosystems, contribution models, and balancing community collaboration with product needs
- Deep experience with rack- or cluster-scale systems spanning compute, networking, storage, accelerators, firmware, and infra management
Full description
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.
At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally.
What You Will Be Doing:
- Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software.
- Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can be embraced in different forms, including libraries, services, controllers, operators, and integration APIs for internal deployments and CSP environments.
- Bridge hardware and software teams across firmware, BMC, BIOS, boot flows, OS images, drivers, networking, NVLink domains, InfiniBand, GPUs, DPUs, CPUs, and system management interfaces. Translate forward-looking infrastructure roadmaps into formal software requirements, architecture specifications, and execution plans that align teams across the organization.
- Partner directly with hyperscalers, CSPs, enterprise customers, internal component leads, vendors, and business partners to align infrastructure capabilities with real-world deployment and integration needs. Establish reliability, security, validation, and left-shift strategies that reduce risk before hardware reaches production environments.
- Mentor senior engineers and technical leads, raising the engineering bar for large-scale networked systems, foundational software, and rack-scale control plane development.