Posted:
7/9/2024, 5:00:00 PM
Location(s):
California, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Growth & Marketing ⋅ Software Engineering
Workplace Type:
Hybrid
After gaining the world’s attention by enabling advancements in AI and high-performance computing, NVIDIA is at a transitional moment in its history to become a leading data center company. With the increased focus on accelerating IO throughout the data center, NVIDIA is bringing a plethora of fully tested, scalable, and packaged products to improve the customer’s experience. We are looking for a Technical Marketing Engineer with hands on software engineering skills to promote NVIDIA’s Networking and LLM portfolio. The role entails creating prototypes, automating deployment and thinking out of the box. As a Technical Engineer, you will translate the “how” to the “why” of engineering features and solutions.
This is a key technical marketing role working across various team across within NVIDIA including – Core Engineering, Product Management, Product Marketing. You will also work with the NVIDIA Enterprise Data Center business units. The successful candidate will help build compelling assets to drive NVIDIA Networking solutions into data center portfolio integration other NVIDIA solutions such as data analytics, machine learning, and AI use-cases across all major industry verticals.
What You’ll Be Doing:
Engage with customers and field teams to thoroughly understand the benefits and use cases of the NVIDIA GPU and Networking portfolio, including Bluefied3 DPU, NVAIE products, etc.
Craft compelling technical marketing content such as white papers, presentations, blogs, competitive positioning, and customer success stories to communicate the value of NVIDIA GPU + Networking portfolio
Design, Code and build demos that showcase innovative end-to-end use cases
Roleplay as “customer 0” and providing feedback and solutions whenever necessary
Collaborate with cross-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:
BS/MS Degree in Computer Science or Engineering or equivalent experience as a software engineer with 5+ years of overall experience and 1+ years of technical marketing or customer co-innovation experience working on data center networking products
Experience in CUDA, RAG, LLMs, Kubernetes, Docker, OpenStack
Expert with algorithms, data structures, complexity analysis, software design, and maintaining large-scale Linux-based systems
Experience in using observability and tracing-related tools like InfluxDB, Prometheus, and elastic and one or more of the following: C/C++, Golang, Python AI/ML frameworks and methodologies
Public cloud and hybrid cloud experience in the Enterprise context, as well as knowledge about deploying and automated network infrastructure in public/private clouds and experience in Ansible/Terraform, a big plus
Assist in the design, implementation, and support of large-scale storage clusters, including monitoring, logging, and alerting as well as work with AI/ML workloads to capture and correlate behavior in large clusters and workflows, which are otherwise hard to understand
Excellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations)
Strong leadership skills and a creative and collaborative attitude and must be a self-motivated individual who can work through a problem from start to finish and proven ability to think creatively and be innovative, you have an aptitude to thrive in a high-energy, dynamic environment
Ability to think creatively and innovatively, you have an aptitude to thrive in a high-energy, dynamic environment
Ways To Stand Out From The Crowd:
Hands-on (software development) Technical marketing experience with large-scale networking solutions targeted at public/private cloud
Knowledge about RAG (Retrieval Augmented Generation) Vector DB, NVIDIA's LLM services.
Experience in K8S, creating and deploying micro services
Conducted performance benchmark or bakeoff plus background with container-centric application deployments and lifecycle management
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. This role presents an opportunity to have a wide impact at NVIDIA by improving the factory planning function. Are you creative, hard-working, dedicated, and determined? Do you love a challenge? If so, we want to hear from you!
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality