NVIDIA · 5 hours ago
Technical Marketing Engineer - AI Networking
US, CA, Santa Clara
Full-time
Onsite
Mid, Senior Level
$128K/yr - $201K/yr
5+ years expNVIDIA is a leader in visual computing technology, and they are seeking a Technical Marketing Engineer to enhance their performance leadership in AI. In this role, you will be responsible for developing and implementing benchmarks for NVIDIA's Spectrum-X Ethernet platform and translating performance results into impactful marketing content.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, NVIDIA Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters
Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials
Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful
Drive the performance characterization of complex training and inference workloads on world-class AI supercomputers, develop rigorous metrics to isolate bottlenecks and guide optimization across the full silicon-to-software stack
Qualification
Required
B.Sc in Computer Science or Software Engineering or equivalent experience
5+ years of experience benchmarking and analyzing high‑performance networking solutions, including RDMA, MPI, and large‑scale collective communication frameworks
Hands‑on expertise in testing and benchmarking deep learning workloads on NVIDIA GPUs with CUDA, TensorFlow, and PyTorch, focused on validating and demonstrating distributed training and inference performance over NCCL, RoCE, and RDMA
Shown proficiency in Performance Analysis methodologies and techniques
Understanding of Ethernet and high-performance networking
Programming experience with Python, Bash and C languages
Experience with distributed job orchestration (Slurm, Kubernetes)
Experience with Linux OS distros
Fast and self-learning capabilities with strong analytical and problem-solving skills
In-depth knowledge and experience with AI workloads and benchmarking for large-scale distributed training/inference systems
Preferred
Strong Performance Analysis skills and methodologies using modern tools
Deep knowledge in AI/Data Center Ethernet networks protocols and best-practices (Clos fabrics, BGP, VXLAN, etc.)
Hands-on experience with automation, CI/CD pipelines and DevOps practices
Expertise in AI fabrics telemetry including metrics capturing and analysis as well as telemetry tools such as Prometheus and Grafana
In-depth System knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, NIC, Memory, PCI)
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)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
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
2026-01-11
2026-01-11
Company data provided by crunchbase