Senior Technical Marketing Engineer - Datacenter Networking

at Nvidia
📍 Santa Clara, United States
USD 124,000-230,000 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 4 Ansible @ 4 Docker @ 4 ElasticSearch @ 3 Kubernetes @ 4 Linux @ 4 Prometheus @ 3 Terraform @ 4 Python @ 3 Algorithms @ 4 Data Structures @ 4 Leadership @ 4 Communication @ 4 Networking @ 4 OpenStack @ 4 Product Management @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, now focusing on AI to define the next computing era where GPUs power advanced applications including robotics and autonomous vehicles. As part of NVIDIA's team, you will join a collaborative environment dedicated to innovation and excellence.

Responsibilities

  • Evaluate usability, performance, and developer experience on NVIDIA's networking hardware and software.
  • Identify competitive weaknesses and influence product improvements.
  • Conduct detailed competitive analyses and performance benchmarking.
  • Create demos showcasing innovative end-to-end use cases.
  • Act as "customer 0" providing feedback and solutions.
  • Collaborate with cross-functional teams on go-to-market planning and execution.
  • Work with product management and engineering to track impact on application performance benchmarks.
  • Coordinate with PR and external outlets for technical marketing content publication and promotion.

Requirements

  • BS/MS degree in Computer Science or Engineering or equivalent experience.
  • Minimum 5 years experience, with at least 3 years in technical marketing or customer co-innovation related to datacenter networking.
  • Experience with Kubernetes, Docker, OpenStack.
  • Expertise in algorithms, data structures, complexity analysis, software design, and large-scale Linux systems.
  • Familiarity with observability/tracing tools like InfluxDB, Prometheus, Elasticsearch; proficiency in C/C++, Golang, Python AI/ML frameworks preferred.
  • Experience with public/hybrid enterprise clouds and automation (Ansible/Terraform).
  • Experience developing and maintaining large storage clusters including monitoring, logging, and alerting.
  • Ability to analyze AI/ML workloads in large clusters.
  • Excellent written and verbal communication skills, including original content creation.
  • Leadership capability to collaborate with hardware and software engineering teams.

Benefits

NVIDIA offers highly competitive salaries, equity, and comprehensive benefits. For more details, visit www.nvidiabenefits.com. The company values diversity and is an equal opportunity employer.