NVIDIA

Senior System Software Engineer, Software Defined Networking

Germany

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & HardwareIndustries

Position Overview

  • Location Type:
  • Job Type: Full time
  • Salary:

We are looking for a Senior System Software Engineer, Software Defined Networking to build highly performant and scalable Software Defined Networking (SDN) solutions and seamlessly integrate these with the rest of the Cloud Infrastructure in order to host Accelerated Compute applications like Hyperscale Multi-node training, Inference, Cloud Gaming, Cloud functions etc.

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow with the smartest people in the world. We are looking for you.

What you’ll be doing

  • Design, develop, deploy and operate next generation multi-tenant cloud SDN control and data planes software
  • DevOps automation tasks for SDN stack - CI/CD, GitOps for secure and seamless integration with cloud infrastructure components.
  • To complement the efficient networking architecture, you will help designing Infrastructure-as-a-Service virtual network orchestration API-driven services to support tenants workloads security and performance SLAs for BMaaS, VMaaS and Kubernetes.
  • You will also develop software for network observability (monitoring and telemetry) to enable intelligent metering and performance analysis for KPIs enforcement for tenants workloads

Requirements

  • BA/BS degree in Computer Science, related technical discipline (or equivalent experience), MS preferred
  • 10+ years of experience developing software for large scale distributed environments according to industry standard best DevOps practices
  • Deep understanding of the modern network stack and protocols
  • Hands-on experience developing secure and performant API-driven services (gRPC, ReST with transport encryption and strong authentication)
  • Background in private cloud/large distributed systems architecture design.
  • Experience with modern data center servers and network equipment (out-of-band management, provisioning, monitoring - IPMI, RedFish, zero-touch provisioning)
  • Hands-on experience with SDN - OpenFlow, Open Virtual Switch or equivalent solutions
  • Hands-on experience with one or more SDN solutions (control and data planes)

Ways to stand out from the crowd

  • Experience with RDMA (InfiniBand or RoCE) protocols and fabrics designs and deployments
  • Understanding of container networking (CNI) APIs and implementations
  • SRE/DevOps: top-level expertise
  • Hands-on background with Tier 1 CSPs (AWS, Azure and others) services and tools
  • Hands-on experience with networking hardware acceleration

Company Information

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all. If you're creative and passionate about developing cloud services we want to hear from you!

Skills

Software Defined Networking
SDN control and data planes
DevOps
CI/CD
GitOps
Cloud infrastructure
Network observability
Monitoring
Telemetry
Network protocols
Security
Virtual network orchestration
Kubernetes
Performance analysis

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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