Senior Switch Software Architect at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Networking, Semiconductors, TechnologyIndustries

Requirements

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering
8+ years of experience in embedded software development for networking products, including 5+ years functioning as a Software Architect responsible for significant modules
Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features in data center, telco and/or edge networks
Highly experienced in embedded software design and operating system fundamentals
Proven track record of proactively researching and integrating emerging technologies to develop practical applications and innovative solutions
Leadership skills and accountability, including of past projects
Clear verbal and written communication with the ability to build consensus within a large organization
Possess problem-solving and critical thinking skills
Ability to operate in a highly dynamic environment
Ways to stand out
Wide knowledge in Switch ASIC hardware and Software Development Kit (SDK)
Deep understanding of the Linux kernel and networking
Demonstrated ability to prototype ideas and demonstrate their value
Applying ML/AI methods to solve networking problems

Responsibilities

Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms
Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics
Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations
Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans
Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects
Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups
Promote innovation through the design and implementation of Proof-of-Concept (PoC)

Skills

Ethernet Switch ASICs

Linux Kernel Networking

Networking Protocols

Open Source Software

Embedded Software

ASIC Hardware

Firmware

Chip Design

Infiniband

NVLink

AI/ML Workloads

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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