Nvidia is hiring a
Field Application Engineer
We are looking for a Field Application Engineer , to drive deep technical engagements with partners and customers. As a Field Application Engineer, you are the technical authority bridging NVIDIA engineering and our customers/partners. Your duties will vary from verifying NVIDIA 5G product and supporting external adoption efforts, leading the integration of 5G OTA and AI-on-5G setup and RAN-in-Cloud platform, driving AI-on-5G, RAN-in-Cloud, AERIAL and NVIDIA SDK reference applications with partners, to inventing proof-of-concept demonstrations and developer assets to drive customer adoption.
Field Application Engineers are drawn from developers and scientists who enjoy working with the latest in GPU hardware and software! NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the TELECOM domain and are broadly used across leading 5G, Wireless, ORAN and Enterprise AI applications. Our success has been based on laser-focused industry vertical business development, building a strong developer ecosystem and scaling out the business using a partner channel and creative marketing. We need a hard-working, self-motivated, and creative individual to help us pursue more of these opportunities in fields of AI, 5G Wireless and Edge computing. The TME needs to be able to operate in a start-up environment, with minimal directions but a phenomenal teammate in a matrixed organization.
What you will be doing:
Hands on at lab with test equipment, remote radio units and UEs and 5G OTA setup and RAN-in-Cloud Platform.
Be technical bridge of our customers/partners and NVIDIA engineering team and developer relationship managers.
Collaborate with our engineering and development teams working on groundbreaking AERIAL and NVIDIA SDK technologies and drive our internal validation and benchmarking of AI-on-5G.
Partner with our developer relationship managers and account team to develop a keen understanding of their goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
Document what you know and guide others. This can vary from building targeted training for partners, other TMEs, Solutions Architects and other internal team members, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
Be an industry leader with a vision on integrating NVIDIA technology into AI, 5G, and embedded GPU architectures for AI, 5G and Wireless.
Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
Communicate customer and external user experience feedback community and back to the internal teams to improve AERIAL and NVIDIA SDKs.
We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and highly accountable to accomplish the mission. Keen to make our internal partners and customers successful.
What we need to see:
MS or PhD in Engineering, Signal processing, Mathematics, Physics, Computer Science, Bioinformatics, or Telecommunications (or equivalent experience).
5+ years of work-related industry experience in system engineering, and software development.
Domain expertise in 5G and vRAN with understanding of hardware and software in a wireless industry.
Experience working with pioneering application deployment practices including but not limited to Docker/Containers and Kubernetes.
Background with Deep Learning software architecture and frameworks.
Excellent written and oral communication skills with the ability to effectively collaborate with management and engineering.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Ability to work as an individual contributor or take a technical leadership role.
Strong analytical and problem-solving skills.
Ways to stand out from the crowd:
Deep knowledge of wireless and 5G.
Experience using GPGPU programming and design practices.
CUDA programming and optimization experience.
Experience with AERIAL and NVIDIA SDKs.
Experience with NVIDIA products and embedded platforms.
Published record of thought leadership in a technical area or industry segment.
Experience with network, Kubernetes, Cloud, ORAN and vRAN.
You will also be eligible for equity and benefits.
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