Nvidia Senior Technical Marketing Engineer - Datacenter Networking 

United States, California 

168715257

What you'll be doing:

• Evaluate usability, performance, and developer experience on NVIDIA’s entire range of networking products. Identify areas of competitive weaknesses and influence product teams to continually improve product features, performance, and value.

• Understand competitive landscape and perform detailed competitive analyses, including performance benchmarking.

• Craft and build demos that showcase innovative end-to-end use cases.

• Roleplay as “customer 0” and provide feedback and solutions whenever necessary.

• Collaborate with multi-functional partners on go-to-market planning and execution.

• Engage with product management and engineering to drive and track the impacts of NVIDIA's complete portfolio on crucial application performance benchmarks.

• Coordinate with internal PR resources and external outlets on the publication and promotion of technical marketing content.

What we need to see:

• We are looking for someone with a strong educational background in Computer Science or Engineering (BS/MS Degree) or equivalent experience in a Technical Marketing role.

• At least 5 years of overall experience, with a minimum of 3 years in technical marketing or customer co-innovation working on data center networking products.

• Experience in Kubernetes, Docker, OpenStack.

• Expert with algorithms, data structures, complexity analysis, software design, and maintaining large-scale Linux-based systems.

• Familiarity with observability and tracing tools such as InfluxDB, Prometheus, and elastic is required. Proficiency in C/C++, Golang, and Python AI/ML frameworks is preferred.

• Experience with public and hybrid clouds in an Enterprise setting. Knowledge of deploying and automating network infrastructure in public/private clouds, with experience in Ansible/Terraform.

• Help develop, set up, and maintain large storage clusters. This includes monitoring, logging, and alerting. Also, work with AI/ML workloads to track and analyze behavior in big clusters and workflows, which can be complex.

• Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations).

• Lead and influence and work with an elite team of hardware and software engineers.