Senior System Software Engineer - Scientific Computing @ NVIDIA | Jobright.ai
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Senior System Software Engineer - Scientific Computing jobs in United StatesH1B Visa Sponsored Senior System Software Engineer - Scientific Computing jobs in United States
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NVIDIA · 2 days ago

Senior System Software Engineer - Scientific Computing

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Artificial Intelligence (AI)GPU
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Hiring Manager
Bella Yanovsky
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Responsibilities

Design, Build, Deploy and Operate Cloud native microservices and APIs for scientific computing workload on DGX cloud.
Design services and take ownership of underlying cloud infrastructure for physics informed and data-driven scientific workflows.
Design novel algorithms and actively engaged with operations to increase overall system performance, spanning 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Distributed systemsCloud computingDebuggingAlgorithmic thinkingSystem designCompiled languagesCloud securityVirtualizationResource poolingElasticityParallel processingFault toleranceConsensus protocolsParallel algorithmsShared memoryMessage passingCluster scalabilityPerformance optimizationProcess managementThread managementIPCMemory managementFile systemI/O structureRecursionGraph theoryTree structuresStacksQueuesDistributed system design

Required

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

Preferred

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

Benefits

Equity

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2017-05-24Post Ipo Equity· $4B

Leadership Team

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Chris Malachowsky
Co-Founder, SVP
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase
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