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Ai Communication Jobs (NOW HIRING)

Nvidia

OR

Setting the long-term technical vision for distributed AI communication systems-GPU-to-GPU, GPU-to-storage, and cross-node data movement. * Conducting original research and prototyping next ...

Nvidia

OR

AI Communication Library Design:Lead the development of next-generation communication primitives and collective algorithms. This includes optimizing for heterogeneous interconnects such as NVLink ...

Beghou Consulting

Partner - AI & Analytics

Boston, MA · On-site +1

$126.60K/yr

Set the AI communication narrative and go-to-market positioning, aligned to Beghou's overall GTM strategy. This includes defining our thought leadership agenda in service of business priorities. Team ...

Beghou Consulting

Partner - AI & Analytics

Boston, MA · Remote

$119.20K/yr

Set the AI communication narrative and go-to-market positioning, aligned to Beghou's overall GTM strategy. This includes defining our thought leadership agenda in service of business priorities. Team ...

Nvidia

OR

Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for ...

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Ai Communication information

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$26K

$31.5K

How much do ai communication jobs pay per year?

As of May 31, 2026, the average yearly pay for ai communication in the United States is $31,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,500.00 and $29,000.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

More about Ai Communication jobs
What cities are hiring for Ai Communication jobs? Cities with the most Ai Communication job openings:
What states have the most Ai Communication jobs? States with the most job openings for Ai Communication jobs include:
What job categories do people searching Ai Communication jobs look for? The top searched job categories for Ai Communication jobs are:
Ai Communication jobs near you
Infographic showing various Ai Communication job openings in the United States as of May 2026, with employment types broken down into 6% As Needed, 64% Full Time, 24% Part Time, and 6% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $31,873 per year, or $15.3 per hour.
Principal Architect, AI Networking

Principal Architect, AI Networking

Nvidia

Austin, TX

Full-time

Posted 8 days ago

Job description

An applied research team within NVIDIA's Networking Systems & Software Architecture group is solving some of AI's hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands-spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects.

This Principal Architect role leads the research agenda and architectural direction for how NVIDIA's AI systems communicate at scale-across GPUs, DPUs, NICs, and heterogeneous storage. It requires someone who defines project scope from scratch, publishes original work, and translates research breakthroughs into production-grade software that ships industry-wide!

What you will be doing:

  • Setting the long-term technical vision for distributed AI communication systems-GPU-to-GPU, GPU-to-storage, and cross-node data movement.

  • Conducting original research and prototyping next-generation networking solutions over RDMA, NVLink, and GPUDirect.

  • Driving hardware-software co-optimization with GPU, DPU, NIC, and network switch. Investigating fundamental bottlenecks in communication runtimes for large-scale AI workloads (KV cache transfer, disaggregated prefill/decode, model parallelism).

  • Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM.

  • Publishing findings, representing NVIDIA in industry forums and standards bodies, and mentoring senior engineers across the organization.

What we need to see:

  • 15+ years in systems software and/or networking with deep expertise in high-performance networking (InfiniBand, RoCE, RDMA, NVLink), communication libraries (e.g. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production.

  • MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

  • Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking.

  • Understanding of ML systems concepts-transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.

  • Proficiency in programming languages such as C, C++, Rust and Python.

Ways to stand out from the crowd:

  • Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.

  • CUDA programming and NVIDIA GPU architecture expertise.

  • Proved experience influencing product strategy and technical roadmap at a senior level.

  • Major open-source contributions.

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forwardthinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building largescale, highimpact data platforms, we'd love to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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