Field Application Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, Datacenter, TechnologyIndustries

Requirements

BS or MS in Electrical Engineering, Computer Science, or related field (or equivalent experience)
5+ years of experience in networking, ASIC system development, or customer-facing technical roles
Strong knowledge of Ethernet switch ASIC architecture (pipelines, buffers, forwarding engines, QoS, telemetry)
Familiarity with switch SDKs and APIs (e.g., NVIDIA SDK, Broadcom SDK, Cisco Silicon One SDK)
Proficiency in datacenter networking protocols (VLAN, STP, ARP, OSPF, BGP, VXLAN, EVPN) and functionalities like RDMA, RoCE, ECN, and PFC or equivalent experience
Strong Linux networking background (Netlink, iproute2, tc, DPDK) and experience with kernel modules, drivers, PCIe, and DMA
Hands-on experience with traffic generators (Ixia, Spirent, TRex) and packet capture/debugging tools
Strong customer interface skills: capable of detailing, training, and guiding Cisco engineers while advancing issues internally as necessary
Strong communication and problem-solving skills, especially under pressure

Responsibilities

Act as a technical specialist on NVIDIA switch ASICs and networking products, directly supporting Cisco engineers and account managers
Establish deep technical engagement with Cisco’s architects, system engineers, and developers
Provide on-site and remote support to debug hardware/software integration, including register-level analysis, counters, and traces
Assist Cisco with ASIC SDK integration into their switch OS stack (NX-OS, IOS-XR, SONiC) and provide example code, documentation, and onboarding support
Investigate networking protocols and datacenter characteristics (L2/L3, OSPF, BGP, VXLAN/EVPN, RoCE, congestion control, load balancing)
Support customer war-room scenarios by analyzing logs/traces, reproducing issues, and driving rapid resolution with internal teams
Deliver training, workshops, and technical collateral for Cisco engineering teams
Provide guidance to NVIDIA product teams based on Cisco’s feature requirements and deployment models

Skills

ASIC

SDK

NX-OS

IOS-XR

SONiC

OSPF

BGP

VXLAN

EVPN

RoCE

L2/L3

Ethernet

hardware integration

software integration

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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