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What You'll Do
- Ways to stand out from the crowd: Development experience in storage software such as key-value storage, file systems, object storage systems and vector databases.
- Knowledge of operating system development, including thread and process management, virtual and device memory (e.g., dmabuf), and user-level network and storage I/O.
- Experience in CUDA programming, exceptional C/C++ programming skills.
- Previous experience working with system software for accelerators such as GPUs, DPUs, or FPGAs.
- Internals of frameworks like PyTorch and JAX.
- NVIDIA is widely considered to be one of the technology world’s most desirable employers.
- We have some of the most forward-thinking and hardworking people on the planet working for us.
- If you're creative, passionate and self-motivated, we want to hear from you! 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.
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 248,000 USD - 391,000 USD for Level 4, and 292,000 USD - 442,750 USD for Level 5.
- You will also be eligible for equity and benefits .
- Applications for this job will be accepted at least until May 15, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- 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.
Sourced directly from NVIDIA’s career page
Your application goes straight to NVIDIA.
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Specialisation
Open roles at NVIDIA
2000 positions
Job ID
/job/US-CA-Santa-Clara/Senior-Manager--Software-Development---GPU-Accelerated-Storage_JR2017590
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