NVIDIA · 2 weeks ago
Senior Systems Engineer – High-Performance AI and Networking Applications
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $356K/yr
8+ years expNVIDIA is a leader in AI and networking solutions, seeking a Senior Systems Engineer for their Deep Learning Frameworks Infrastructure team. This role focuses on enhancing performance in high-performance AI and networking applications through collaboration and technical mentorship.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Collaborate with networking teams to plan, implement, and evaluate performance benchmarks on NVLINK, NVSwitch, and InfiniBand powered infrastructures
Assess findings and work closely with framework, hardware, and support teams to improve system performance across various deep learning workloads
Act as a primary resource for fixing networking and hardware integration issues, focusing on scalable multi-node systems
Maintain high communication standards across multiple engineering, support, and R&D teams, ensuring technical and performance goals are met
Offer technical mentorship and documentation for internal teams and external partners on standard methodologies in HPC networking deployments
Share insights on improving networking strategies for substantial AI and deep learning infrastructure
Qualification
Required
BS/MS or PhD in Computer Science, Engineering, or related field, or equivalent experience
8+ years of proven experience in AI/HPC Infrastructure
Familiarity with AI/HPC job schedulers and orchestrators like Slurm, K8s, or LSF. Practical exposure to AI/HPC workflows employing MPI and NCCL
Familiarity with High-Speed Networking pertaining to HPC including InfiniBand, RDMA, RoCE, and Amazon EFA
Essential to have an understanding of PyTorch, MegatronLM, and Deep Learning Inference frameworks such as vllm/sglang
Proven experience with InfiniBand, NVLINK, and high-speed networking technologies in HPC or large-scale datacenter environments
Investigating and evaluating performance in multi-node systems, especially in deep learning or scientific computing tasks
Strong analytical, debugging, and technical communication skills
Comfortable working in collaborative, multi-faceted teams
Preferred
Mastery in deep learning frameworks or distributed training systems
Familiarity with datacenter automation, advanced network protocols, and supporting large HPC or AI clusters in production environments
Understanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workload
Experience with networking and communications libraries like NCCL, NIXL, NVSHMEM, UCX
Experience developing or maintaining cluster management and monitoring tools Ex: ansible for infrastructure as a service, prometheus and grafana for monitoring
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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)
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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