Senior System Software Engineer at NVIDIA

Bengaluru, Karnataka, India

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Networking, Data CenterIndustries

Requirements

  • Strong knowledge of forwarding path for L2 and L3 including concepts like ECMP
  • Strong and proven experience in C and Python programming
  • Worked with VxLAN and EVPN routing protocols
  • Strong knowledge in areas of QoS, ACLs and VxLAN
  • Working knowledge of hardware resource management (tables, TCAMs, etc)
  • Battle scars from troubleshooting production network deployments
  • BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience
  • 5+ years of hands on experience
  • Ways to stand out
  • Experience with Merchant Silicon for Switching/Routing
  • Contributions to SONiC, SwitchDev or Switch Abstraction Interface (SAI) projects

Responsibilities

  • Enable NVIDIA Cumulus Linux on next generation ASICs
  • Define, design and develop features for NVIDIA Cumulus Linux
  • Sustain the existing deployments of NVIDIA Cumulus Linux
  • Work closely with customers to understand pain points, new use cases, deployment strategies and come up with innovative solutions
  • Translate requirements to the SDK and ASIC Engineers for enabling end-to-end solutions
  • Implementation of the core of NVIDIA Cumulus Linux: code that translates control plane constructs into the hardware data plane
  • Build and maintain the core of NVIDIA Cumulus Linux

Skills

C
Python
L2 forwarding
L3 forwarding
ECMP
VxLAN
EVPN
QoS
ACLs
TCAMs
ASIC
Cumulus Linux

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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