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.
We are seeking a Senior Systems Software Engineer to join our advanced infrastructure software team. In this role, you will be responsible for designing, developing, and maintaining high-performance, rack-scale management solutions for datacenter environments. You will work primarily in Rust, Go, and C++, building robust, scalable systems that bridge hardware, firmware, and cloud-native services.
What you’ll be doing:
Systems Software Development: Architect, implement, and maintain core components of an internally developed IaaS (Infrastructure-as-a-Service) product and related microservices primarily in Rust, C++, or Go.
Hardware/Firmware Integration: Develop and automate workflows for device discovery, firmware updates, and health monitoring using protocols such as Redfish and other BMC interfaces.
Distributed Systems: Build and extend distributed microservices and gRPC APIs for rack management, supporting multi-rack, multi-tenant, and multi-site deployments.
Telemetry & Health Monitoring: Implement telemetry collection, aggregation, and analysis pipelines using Prometheus, OpenTelemetry, and Grafana; contribute to Health-as-a-Service initiatives.
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
5+ years of experience in systems software engineering with a focus on distributed systems, software/firmware development, or infrastructure automation.
Strong hands-on experience with Rust, Go, and C++ for systems-level development.
Datacenter or computer architecture experience is required—you should understand server, rack, and network topologies, as well as hardware/firmware/software interactions.
Experience with hardware management protocols (Redfish, IPMI, BMC) and firmware update automation.
Ways to stand out from the crowd:
Experience with rack-scale or data center management platforms. Familiarity with test automation, simulation/mocking frameworks, and CI/CD pipelines.
Knowledge of hardware validation, health monitoring, and diagnostics (DCGM, nvbandwidth, Field Diag).
Contributions to open-source infrastructure or systems software projects.
Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and innovative compute platforms in the world. It’s because of our work that scientists, researchers and engineers can advance their ideas. At its core, our visual computing technology not only enables an amazing computing experience, it is energy efficient! We pioneered a supercharged form of computing loved by the most demanding computer users in the world - scientists, designers, artists, and gamers. It’s not just technology though! It is our people, some of the brightest in the world, and our company culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.
We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 5+ years of experience in systems software engineering with a focus on distributed systems
- Strong hands-on experience with Rust, Go, and C++
- Datacenter or computer architecture experience
- Experience with hardware management protocols (Redfish, IPMI, BMC)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
