Senior System Software Engineer - Scientific Computing PaaS

Thomas To; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Sr System Software Engineer to advance our cloud-based scientific computing platform for physics-based solvers, AI training, inference and visualization. You will own cloud infra for data-driven workflows spanning GPUs, CPUs, networking and storage.

Work spans distributed systems, performance optimization and large-scale HPC. Location is Santa Clara with equity and benefits tied to level and impact on critical workloads.

Qualifications

• BS/MS degree in Computer Science or related areas or equivalent experience.
• 10+ years experience building and operating distributed compute and data intensive platform as a service on cloud.
• Proven skill in a compiled language (Go, Rust, C++ or otherwise).
• Strong foundational knowledge in Cloud Computing e.g The Datacenter is a Computer architecture, cloud security architecture, virtualization - CPU, Memory and IO, Resource pooling and elasticity.
• Proven skills in Distributed Systems & Parallel Processing including MPI/NCCL, fault tolerance, synchronization and performance.
• Hands on debugging skills with processes, threads, memory management, I/O and file systems.
• Strong algorithmic thinking and system design skills for large scale distributed systems.

Responsibilities

• Design services and own cloud infrastructure for physics-informed and data-driven workflows.
• Design novel algorithms and improve system performance across the stack (DL frameworks, solvers, microservices, APIs, GPUs/CPUs).
• Build, deploy and operate scalable I/O infrastructure for checkpointing and data processing.
• Optimize compute, storage and network architecture for physics and simulation workloads.

Skills

Distributed systems

Parallel processing

C++

Go

Rust

System design

Debugging

Algorithmic thinking

Self-motivated

Education

BS/MS degree in Computer Science or related areas or equivalent experience

Job description

We are seeking a Sr System Software Engineer to help us build out our scientific computing platform workflows on Cloud. This Cloud based scientific computing cloud platform enables Physics based Numerical Simulation Solvers, AI based Training, Inference and Visualization workflow for physical science and engineering problems.
Those applications include Weather prediction, Climate modeling, Industrial design and Digital twins simulation in various domains e.g Aerospace, Automotive, Sports, Renewable energy, Bio-medical and many more. Are you passionate about solving rewarding problems at scale? Do you enjoy crafting robust, critical services for compute and data intensive workload? If so, you may be a phenomenal fit for our team!

What You’ll Be Doing

• Design services and take ownership of underlying cloud infrastructure for physics informed and data driven scientific workflows
• Design novel algorithms and actively engage with operations to increase overall system performance, it spans across the stack e.g. deep understanding of application code e.g DL Framework, Numerical Solvers, Microservices, APIs and Heterogeneous accelerated computing with CPUs and GPUs.
• Design, Build, Deploy and Operate scalable I/O infrastructure for checkpointing, data loading, pre & post processing of data.
• Optimize compute, storage and network architecture specific to physics & simulation driven applications.

What We Need To See

• BS/MS degree in Computer Science or related areas or equivalent experience.
• 10+ years experience working on building and operating distributed compute and data intensive platform as a service on cloud
• Proven skill in a compiled language (Go, Rust, C++ or otherwise).
• Strong foundational knowledge in Cloud Computing e.g “The Datacenter is a Computer” architecture, cloud security architecture, virtualization - CPU, Memory and IO, Resource pooling and elasticity.
• Proven skills in Distributed Systems & Parallel Processing e.g System model of distributed computation e.g. topology abstraction, logical time. Synchronization and deadlock detection in distributed systems, Fault Tolerance and Failure Detection, Consensus and Agreement protocols, Parallel algorithms, shared memory and distributed memory architecture, message passing (MPI, NCCL), Cluster scalability and performance.
• Hands on Debugging skills with Process, Threads , Deadlock and Synchronization, Scheduling, IPC, Memory management, File system and I/O structure.
• Strong Evidence on Algorithmic Thinking & System Design skills e.g Recursion, Graph, Tree, Stack and Queue, Large scale loosely coupled distributed system design and operational experience.
• Be self-motivated, have strong interpersonal skills, and be able to work independently with multiple teams with minimal direction.

Ways To Stand Out From The Crowd

• Have built , deployed and operated AI platforms on HPC clusters. Have built, deployed and operated cloud native system including distributed storage, scheduling, and orchestration among compute, storage and network
• Configuring and troubleshooting hardware, operating systems, kernel, compilers for maximum performance
• Hands on debugging skills to optimize performance of compute, networking and I/O framework. Extensively worked on third party source code for debugging and customization

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 and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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.
#deeplearning