About the role
We are now looking for a Field Applications Engineer! NVIDIA’s networking and AI platforms have already significantly influenced the industry and are widely adopted by top academic institutions, hyperscale data centers, and service providers. We need passionate, hardworking, and creative people to help us continue to deliver groundbreaking enterprise networking and computing solutions to the world.
This Field Applications Engineering role is a specialist position passionate about supporting our OEM partners with switch ASIC integration, system-level composition, and datacenter networking. You will be the link between OEM’s engineering teams and NVIDIA’s internal ASIC, SDK, and systems groups, ensuring smooth development, debug, and deployment.
What you’ll be doing:
Act as a technical specialist on NVIDIA switch ASICs and networking products, directly supporting OEM engineers and account managers.
Establish deep technical engagement with OEM’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 OEM with ASIC SDK integration into their switch NOS (Network Operating System) stack 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 OEM engineering teams.
Provide guidance to NVIDIA product teams based on OEM's feature requirements and deployment models.
What we need to see:
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 OEM engineers while advancing issues internally as necessary.
Strong communication and problem-solving skills, especially under pressure.
Ways to stand out from the crowd:
Exposure to development environments, build systems, or test frameworks (e.g. PyATS/Genie).
Security feature knowledge (MACsec, IPsec offload, ACL scaling).
Performance benchmarking experience (efficiency, latency, jitter).
Knowledge of interconnect technologies: PCIe, SerDes, PHY basics.
Previous experience collaborating with major OEMs and comprehending their engineering procedures, release timelines, and critical issues handling.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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