- Building and improving our partner ecosystem guidelines around GPU-accelerated computing for both single-node and multi-node cluster deployments.
- Work on Out-of-band telemetry and management initiatives to enable partners to design deep learning clusters at scale.
- Work on resolving system integration issues related to thermal, mechanical, electrical, PCIe and GPU interconnect interfaces including out of band management services.
- Understand system design requirements for HPC and AI workloads to drive platform configuration guides for x86 and ARM servers.
- Conduct the installation, configuration and bring-up of enterprise server hardware.
- Work directly with our NVIDIA customers, and analyze data to answer questions, reproduce errors, resolve same, or escalate customer issues.
- Be involved in customer interaction, customer communication via conference calls, or face to face meetings
- Familiarize yourself with performing hardware debug using oscilloscope and analyzers to qualify, validate and solve NVIDIA products for customer systems.
- Track, file new bugs and reproduce issues as needed.
- Create product specifications, hardware design guides, application notes, and other supporting technical collateral.
- BS or higher in EE, CE or Systems Engineering or equivalent experience.
- 6 years of relevant experience in supporting enterprise datacenter products for x86 or ARM architecture.
- Minimum 5 years of experience designing and operating large scale compute infrastructure.
- Have strong analytical skills and past experience in reviewing enterprise system design and CPU architecture.
- Understanding of x86 and ARM system architecture for server design including BMC, security and out of band management.
- Professional-level interpersonal skills, including your ability to adjust your communication to the technical level of the audience.
- An innate capability to accurately and succinctly communicate procedures, results, and recommendations to customers.
- Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting
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Hardware Applications Engineer, Data Center Products - Santa Clara, United States - NVIDIA
Description
NVIDIA's deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies.
We need hardworking, and creative people to help us dive into more of these rare opportunities in GPU application in enterprise solution space.
We are now looking for an Applications Engineer with the ability to focus on customer enablement of enterprise products in a datacenter environment.
We seek an expert who is familiar with out-of-band telemetry, diagnostics and cluster management best practices established in the industry.
In this role, you will work with customers and internal teams to resolve hardware, firmware and software issues, and provide key technical collateral.
This is a highly technical engineering role that is responsible for providing best-in-class support to NVIDIA's enterprise customers. We are looking for someone who has superb interpersonal skills, and can understand, explain, and solve customer problems. This position will focus on NVIDIA enterprise datacenter products in workstation and server applications.What you'll be doing:
What we need to see:
The base salary range is 128,000 USD - 258,750 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 ) . 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.
NVIDIA is a Learning MachineNVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.
Learn more about NVIDIA .
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