Senior Field Application Engineer, Networking System Hardware Design at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Networking, Data Centers, SemiconductorsIndustries

Requirements

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience)
3+ years of work-related experience in the high-tech electronics industry, particularly in networking product Hardware design or technical customer support roles
Capable of excelling in a dynamic, constantly evolving environment
Remarkable talent for effectively managing multiple initiatives and priorities
Expert analytical and problem-solving abilities
Strong time-management and organizational skills for coordinating complex projects
Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams
Ways to stand out
Experience with Networking product Hardware/System architecture development, and the areas of high-speed board design/signal integrity/qualification testing
In-depth understanding of networking protocols InfiniBand/Ethernet, RDMA/RoCE, BlueField DPU product, DOCA SW stacks
Proficiency in C/C++ and Python programming
Knowledge of Embedded Linux Systems, APIs, and similar embedded OS
Experience working with ODMs/EMs in industrial, military, and ruggedized computing spaces

Responsibilities

Be a technical specialist on networking products, directly supporting sales account managers to secure design wins
Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts
Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions
Provide onsite support to do system bring-up, benchmarking/testing/issue replication, and solving hardware and software problems
Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness
Develop technical solutions including hardware & software demos and example system designs
Offer technical and sales training to direct sales teams and channel partners
Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience

Skills

Networking

Hardware Design

System Design

System Bring-up

Benchmarking

Testing

Issue Replication

Hardware Troubleshooting

Software Troubleshooting

Product Lifecycle

Technical Demos

Customer Support

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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