Scientific Software Engineers

Senior System Software Engineer Scientific Computing PaaS
locations: US CA Santa Clara; US Remote
time type: Full time
posted on: Posted Today
job requisition id: JR1979896

We are seeking a Sr System Software Engineer to help us build out our scientific computing platform on Nvidia DGX Cloud. We are building a cloudbased accelerated scientific computing platform as a service on the Nvidia DGX cloud. This DGX scientific computing cloud platform enables Physicsbased Numerical Simulation Solvers AIbased 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 Biomedical and many more.

Are you passionate about solving rewarding problems at scale Do you enjoy crafting robust critical services for compute and dataintensive workloads If so you may be a phenomenal fit for our team!

What youll be doing:
Design Build Deploy and Operate Cloudnative microservices and APIs for scientific computing workload on DGX cloud.
Design services and take ownership of underlying cloud infrastructure for physicsinformed and datadriven 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 & postprocessing of data.
Optimize compute storage and network architecture specific to physics & simulationdriven 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 dataintensive 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.
Handson Debugging skills with Process Threads Deadlock and Synchronization Scheduling IPC Memory management File system and I/O structure.
Strong Evidence of Algorithmic Thinking & System Design skills e.g. Recursion Graph Tree Stack and Queue Large scale loosely coupled distributed system design and operational experience.
Be selfmotivated 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 cloudnative system including distributed storage scheduling and orchestration among compute storage and network.
Configuring and troubleshooting hardware operating systems kernels compilers for maximum performance.
Handson debugging skills to optimize performance of compute networking and I/O framework. Extensively worked on thirdparty source code for debugging and customization.

NVIDIA is widely considered to be one of the technology worlds most desirable employers. We have some of the most forwardthinking and hardworking people on the planet working for us. If youre creative and autonomous we want to hear from you!

The base salary range is 180000 USD 339250 USD. Your base salary will be determined based on your location experience and the pay of employees in similar positions. You will also be eligible for equity and benefits.

NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse 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

Remote Work :

No

Employment Type :

Fulltime