2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design services and own underlying cloud infrastructure for physics-informed and data-driven scientific workflows.
- Design algorithms and improve system performance across application code, deep-learning frameworks, numerical solvers, microservices, APIs, and heterogeneous CPU/GPU computing.
- Build, deploy, and operate scalable I/O infrastructure for checkpointing, data loading, and data pre- and post-processing.
- Optimize compute, storage, and network architectures for physics- and simulation-driven applications.
- Debug and customize third-party source code and optimize compute, networking, and I/O frameworks.
Requirements
- BS/MS degree in Computer Science or a related field, or equivalent experience.
- 10+ years of experience building and operating distributed compute and data-intensive platform-as-a-service systems on cloud.
- Proven proficiency in a compiled language such as Go, Rust, or C++.
- Strong knowledge of cloud computing architecture, cloud security architecture, virtualization, resource pooling, and elasticity.
- Strong knowledge of distributed systems, parallel processing, fault tolerance, consensus, parallel algorithms, memory architectures, and message passing.
- Hands-on debugging skills involving processes, threads, deadlocks, synchronization, scheduling, IPC, memory management, file systems, and I/O.
- Strong algorithmic thinking and large-scale distributed system design and operational experience.
- Ability to work independently with multiple teams and minimal direction.
- Preferred experience building, deploying, and operating AI platforms on HPC clusters and cloud-native systems with distributed storage, scheduling, and orchestration.
- Preferred experience configuring and troubleshooting hardware, operating systems, kernels, and compilers for maximum performance.
Benefits
- Base salary is listed for Level 4 and Level 5, with equity and benefits also provided.
- Applications will be accepted at least until September 5, 2026.
- This posting is for an existing vacancy.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.