Job Information
Nvidia Field Applications Engineer in Austin, Texas
We are now looking for a Field Applications Engineer! NVIDIA’s deep learning platforms have already made a major impact on the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. 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 passionate, hardworking, and creative people to help us pursue more of these rare opportunities. This Field Applications Engineering role is for a specialist in networking, system design, and leader to our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industry.
NVIDIA is searching for an exceptional FAE with a focus on networking and system design for datacenter and edge computing. Your primary responsibilities will be the customer technical engagement for NVIDIA networking products for computing systems targeted at a wide range of deployments from the datacenter to the edge. You will be working cross functionally with our organizations as well as ensuring a positive experience for external customers. You should be comfortable working in a multifaceted environment and have experience working with stand-alone servers, clusters and embedded systems. You will use your people skills and your technical knowledge to provide design-in integration support for our networking and GPU products in OEM datacenter and edge servers. Excellent interpersonal skills and the ability to work independently as well as cross functionally are essential. Experience with Ethernet and PCIe are required, additional knowledge of Infiniband and deep learning is a plus, as well as the ability to pick up new technologies and skills.
What you’ll be doing:
Be a technical specialist on networking and GPU products directly supporting program management and working closely with the team to secure timely releases.
Drive the development and execution of functional, regression and stress testing for next generation networking and GPU technologies in the datacenter and edge computing.
Automate the end-to-end scenarios by integrating various components into an overall architecture so that they can be packaged and deployed efficiently.
Work with cross-functional teams in testing and development and contribute actively to individual test design specification and verification.
Provide onsite support to solve problems in hardware and software.
Provide technical and sales training to Nvidia partners.
Establish strong relationships and communication channels with internal teams.
What we need to see:
BS Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
3+ years of work-related experience in testing and integrating hardware and software into server OEMs.
Software Engineering (QA methodologies)
Solid understanding of Linux/Unix, Windows, VMWare ESXi OS.
Ability to script in Python, Bash and other shell languages.
Experience in developing automation frameworks.
Excellent troubleshooting and debugging skills.
Experience with software development hardware and software lifecycle, bug tracking and version control systems.
Capable of working in a constantly evolving environment without losing focus.
Strong analytical and problem-solving skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.
Expert written and oral communication skills in English with the ability to effectively collaborate with management and engineering.
Ways to stand out from the crowd:
Proficient in InfiniBand, GPU, ARM development, and embedded Linux systems with strong C/C++ and Python programming skills.
Knowledgeable in communication libraries like OpenMPI, SHMEM, UCX, and hardware design including PCIe, Ethernet, and various communication protocols.
Experienced in working with OEMs in Data Center, HPC, or Edge computing environments.
Familiar with DOCA, MLNX_OFED drivers, and LinkX cables.
Holds an advanced degree and has experience in machine learning environments.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 104,000 USD - 201,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.