Senior System Software Engineer - Github
NVIDIA
NewNVIDIA is seeking a strategic and technically proficient Principal Software Engineer to join the Data Center Systems and Software CSP engagements team. As a leader and technologist, you will play a pivotal role contributing significantly to the architecture and development of next-generation Data Center products, acting as the technical focal point for select CSP (Cloud Service Provider) and Hyperscalers.
What you’ll be doing:
Drive system software architecture alignment and technical deep dives, acting as the primary software engineering contact for NPI projects with key customers.
Collaborate with major customers to understand their roadmap, use cases, and requirements, aligning them with NVIDIA’s roadmap.
Spearhead cross functional efforts to resolve complex and high-profile customer issues during NPI phase.
Make key technical decisions even when faced with ambiguity and mitigate execution risks by following left shift strategy.
Build and maintain customer trust by understanding and addressing their needs.
Work closely with cross-functional architects in defining system software architecture for complex server platforms.
What we need to see:
Extensive experience in designing scalable, high-performance server systems at the SW/HW interface. Expertise in server system architecture and its impact on application performance.
Proven leadership skills with strong project ownership in complex software and hardware environments.
Deep understanding of computer architecture, microprocessor concepts, and expert knowledge of ARM (aarch64) and x86 architectures.
Proficient in system software design, OS fundamentals, Linux kernel device drivers, and low-level hardware/software interfaces.
Skilled in complex system-level debugging, performance analysis, and test design.
BS or MS in Computer Engineering, Computer Science, or related field, or equivalent experience with over 15 years in system software architecture and development.
Ways to stand out from the crowd:
Knowledge of cloud and cluster level deployment and management systems
Expertise in Out of Band and In-band management architectures. Experience with GPU computing (CUDA), deep learning workloads
Knowledge of Memory fabric and CXL architectures
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, hardworking and self-motivated, 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 272,000 USD - 431,250 USD.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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
209K – 231K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 17 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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