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Networking Software Jobs in California (NOW HIRING)

Nvidia

Senior Software Engineer, AI Networking

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking an outstanding Software Engineer to join our US-based networking software team. As a technical leader, you will lead the transformation of AI networking systems. You will apply your ...

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Networking Software information

What is networking software?

Networking software refers to programs and applications that manage, monitor, and facilitate communication between computers and devices over a network. It includes operating systems, protocols, utilities, and tools that support tasks such as sharing files, managing network traffic, and ensuring security. Networking software is essential for both small local networks and large-scale enterprise environments, enabling reliable data exchange and connectivity. Examples include network operating systems, firewalls, routers' firmware, and network management tools.

What are some common challenges faced by professionals in Networking Software roles, and how can they be addressed?

Professionals in Networking Software often encounter challenges such as troubleshooting complex network issues, keeping up with rapidly evolving protocols, and ensuring software compatibility across diverse hardware environments. Addressing these requires strong analytical skills, continuous learning through certifications or industry updates, and effective collaboration with hardware engineers and IT teams. Many teams operate in agile environments, so clear communication and adaptability are also key to overcoming obstacles and delivering robust networking solutions.

What is the difference between Networking Software vs Network Administrator?

AspectNetworking SoftwareNetwork Administrator
Primary RoleDesigning, developing, and managing network software and toolsManaging and maintaining physical and virtual network infrastructure
Required SkillsProgramming, software development, network protocolsNetwork configuration, troubleshooting, hardware management
CertificationsNetwork+, CCNA (software focus), Cisco certificationsNetwork+, CCNA, CompTIA certifications
Work EnvironmentSoftware development teams, IT departmentsData centers, corporate IT departments, onsite and remote

Networking Software professionals focus on creating and maintaining network-related software tools, while Network Administrators manage and troubleshoot the actual network infrastructure. Both roles require networking certifications and often work within the same industry environments, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Networking Software Engineer, and why are they important?

To thrive as a Networking Software Engineer, you need a strong grasp of computer networking concepts, programming languages (like C/C++ or Python), and a relevant degree in computer science or engineering. Familiarity with network protocols, packet analyzers (such as Wireshark), and certifications like Cisco's CCNA or CompTIA Network+ are highly valuable. Problem-solving, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and troubleshooting network issues. These skills and qualifications ensure the reliable development and maintenance of robust networking solutions in dynamic technical environments.
What are the most commonly searched types of Networking Software jobs in California? The most popular types of Networking Software jobs in California are:
What are popular job titles related to Networking Software jobs in California? For Networking Software jobs in California, the most frequently searched job titles are:
What job categories do people searching Networking Software jobs in California look for? The top searched job categories for Networking Software jobs in California are:
What cities in California are hiring for Networking Software jobs? Cities in California with the most Networking Software job openings:
Networking Software jobs near you
Software Engineer, SystemML - AI Networking

Software Engineer, SystemML - AI Networking

Meta

Menlo Park, CA • On-site

$183K - $257K/yr

Full-time

Posted 10 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

In this role, you will be a member of the AI Networking Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into PyTorch and is on the critical path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the SW stack the team owns. At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team's focus is on building customized features, SW benchmarks, performance tuners and SW stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking for engineers to work on the space of GenAI/LLM scaling reliability and performance.
Responsibilities
Tech-leading the collective communication library development on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Proven C/C++ and Python programming skills
• Proven track record of leading successful projects
• Effective leadership and communication skills
• Specialized experience in one or more of the following machine learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch)
Preferred Qualifications
• Experience with NCCL and distributed GPU performance analysis on RoCE/Infiniband
• PhD in Computer Science, Computer Engineering, or relevant technical field
• Knowledge of GPU architectures and CUDA programming
• Knowledge of ML, deep learning and LLM
• Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
• Experience in HPC and parallel computing
• Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow
• Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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