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Ai Communication Jobs in California (NOW HIRING)

In-depth knowledge of AI communication patterns and hardware acceleration for network collective operations * Solid foundation in lower-level network protocols (TCP/UDP, Ethernet, IP) and advanced ...

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces multiple industry-first innovations across silicon, packaging, software, and systems to deliver an order of ...

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Ai Communication information

What is AI communication?

AI communication refers to the ways artificial intelligence systems interact with humans or other systems, using natural language, text, speech, or other methods. This can include chatbots, voice assistants, automated email responses, and more. The goal of AI communication is to create seamless, effective, and human-like interactions that assist with customer service, information retrieval, or other tasks. Professionals in AI communication work on designing, developing, and improving these interactions to ensure clarity, accuracy, and user satisfaction.

How do professionals in AI communication typically collaborate with technical and non-technical teams?

Professionals in AI Communication frequently serve as a bridge between data scientists, engineers, and business or marketing teams. They are responsible for translating complex AI concepts into clear, accessible language for non-technical stakeholders, while also ensuring that feedback from users and clients is accurately relayed to the technical team. This role often involves regular meetings, the creation of presentations or reports, and close collaboration during project planning and product launches. Successful AI communicators are proactive in fostering understanding and alignment across diverse groups to support the organization's AI initiatives.

What are the key skills and qualifications needed to thrive as an AI communications specialist, and why are they important?

To thrive as an AI Communications Specialist, you need a solid background in communications, linguistics, or marketing, often supported by experience in technology or AI-focused industries. Familiarity with AI platforms, natural language processing tools, and analytics software is typically required, along with knowledge of content management systems. Exceptional written and verbal communication, creativity, and the ability to translate complex technical concepts into accessible language are vital soft skills. These skills ensure the clear, effective dissemination of AI-related information to diverse audiences, supporting organizational goals and user understanding.

What is the difference between Ai Communication vs Data Analyst?

AspectAi CommunicationData Analyst
Required CredentialsBachelor's in Communications, AI, or related fields; certifications in AI toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentTech companies, AI firms, communication agenciesBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed for developing AI-driven communication systems and chatbotsUsed for interpreting data, generating reports, and supporting decision-making

Ai Communication focuses on designing and implementing AI-powered communication tools, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills but differ in their core functions and industry applications.

What are popular job titles related to Ai Communication jobs in California?

For Ai Communication jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Communication jobs in California look for?

The top searched job categories for Ai Communication jobs in California are:

What cities in California are hiring for Ai Communication jobs?

Cities in California with the most Ai Communication job openings:

Infographic showing various Ai Communication job openings in California as of August 2026, with employment types broken down into 50% Full Time, 20% Part Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

AI SoC Architect Networking

Los Altos, CA • On-site

Socket.dev
Network Security • 1 - 10 employees

$180 - $260/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About Majestic Labs

We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.

Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position

This is a highly technical and cross-functional role requiring deep expertise in SoC networking, high-speed interconnects, and protocol acceleration for AI. As a SOC System Network Architect for AI, you will lead the definition and architectural design of network engines and interconnect fabrics powering our custom AI servers. You will collaborate closely with silicon architecture, hardware design, firmware, and software teams to shape scale-up and scale-out networking topologies optimized for distributed AI workloads.

Responsibilities

  • Architect end-to-end SoC networking engines, SmartNIC/NIC architectures, and switch interface IPs for AI accelerators
  • Define scale-up (intra-node) and scale-out (inter-node) network topologies
  • Design hardware acceleration and offload engines for AI collective operations (e.g., AllReduce, AllGather, AllToAll) directly on the network fabric
  • Optimize transport protocols (RoCEv2, custom RDMA engines, TCP/UDP offloads) and adaptive routing/congestion control algorithms (e.g., DCQCN) for synchronized AI traffic flows
  • Drive performance modeling, cycle-accurate simulations, and traffic pattern analysis to evaluate architectural trade-offs across network fabrics
  • Collaborate with ASIC design, silicon architecture, and AI software teams to define hardware/software interfaces, register abstractions, and programming models
  • Produce high-quality network architecture specifications, interface documents, and lead cross-functional architecture reviews
Requirements
  • 7+ years of hands-on network architecture, SoC interconnect design, or silicon engineering experience, with at least 3 years in an architecture or technical lead capacity
  • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or Computer Science
  • Proven track record of owning and delivering complex network ASICs, NIC engines, or switch architectures from initial concept through silicon bring-up

Core Technical Skills

  • Deep expertise in SmartNIC/NIC architecture, RDMA technologies (RoCEv2, InfiniBand), and hardware transport protocol engines
  • Strong understanding of scale-up and scale-out topologies, high-speed packet processing, and switch architecture trade-offs
  • In-depth knowledge of AI communication patterns and hardware acceleration for network collective operations
  • Solid foundation in lower-level network protocols (TCP/UDP, Ethernet, IP) and advanced network congestion control mechanisms
  • Proficiency in network performance modeling, hardware simulation tools, and architectural trade-off analysis

Preferred Qualifications

  • Experience with high-speed proprietary interconnects (e.g., NVLink, NVSwitch, UALink, CXL) or custom switch silicon
  • Hands-on experience with network simulation and modeling frameworks (e.g., ns-3, OMNeT++, SystemC/TLM)
  • Familiarity with distributed AI communication libraries (e.g., NCCL, RCCL) and frameworks (PyTorch, DeepSpeed)

At Majestic Labs, we are shaping the next paradigm and making AI ubiquitous by building radically better infrastructure across the entire stack-from systems engineering and VLSI to compilers and AI applications. This epic mission requires a relentless culture of innovation, grit, and dedication. Our employees are our most important asset.

Have you read the job description and feel you could be a great fit?

We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don\'t meet all requirements, we\'d love to hear from you if you have the mindset to tackle complex challenges.

Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability-we want to meet you!

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