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Phd Communications Jobs in Raleigh, NC (NOW HIRING)

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Phd Communications information

See Raleigh, NC salary details

$30.1K

$70.8K

$241.5K

How much do phd communications jobs pay per year?

As of Aug 2, 2026, the average yearly pay for phd communications in Raleigh, NC is $70,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $71,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Communications, and why are they important?

To thrive as a PhD in Communications, you need advanced research skills, expertise in communication theories, and a doctoral degree in communications or a related field. Proficiency with qualitative and quantitative research tools, academic publishing platforms, and data analysis software such as NVivo or SPSS is typically required. Strong written and verbal communication, critical thinking, and collaboration skills distinguish top professionals in academia or industry roles. These competencies are essential for producing impactful research, effectively disseminating findings, and contributing to the advancement of the field.

What jobs can you get with a PhD in journalism?

A PhD in journalism prepares individuals for advanced roles such as university professors, research analysts, media consultants, and senior editors. Graduates often work in academia, media organizations, or research institutions, utilizing skills in communication, research, and critical analysis.

How hard is it to get a PhD in Communications?

Earning a PhD in Communications is a challenging process that typically requires 3-7 years of full-time study, including coursework, comprehensive exams, and original research leading to a dissertation. Success depends on strong research skills, critical thinking, and dedication, with candidates often balancing teaching responsibilities and research commitments.

What are some common challenges faced by PhD graduates in Communications when transitioning to non-academic roles?

PhD graduates in Communications often face the challenge of translating their academic skills to industry-specific language and demonstrating the practical value of their research experience. Adjusting to faster-paced work environments, collaborating with cross-functional teams, and managing multiple projects with shorter deadlines can require a shift from the independent, long-term focus of academic work. Networking and building relationships outside academia are also crucial, as many non-academic roles place a high value on teamwork and stakeholder engagement. Proactively seeking mentorship and professional development opportunities can help ease this transition.

What are PhD Communications?

A PhD in Communications is an advanced academic degree focused on the study of human communication processes, media, and their effects on society. This program typically involves original research, coursework in communication theory, and specialized topics such as media studies, rhetoric, or digital communication. Graduates often pursue careers in academia, research, public policy, or leadership roles in media and communication industries.

What can I do with a communication PhD?

A communication PhD prepares individuals for careers in academia, research, and higher education, as well as roles in corporate communication, public relations, media analysis, and policy development. Graduates often work as professors, communication consultants, media analysts, or in organizational leadership, utilizing skills in research, critical thinking, and strategic communication.

What is the highest paying job in communication?

In the field of communication, executive roles such as Chief Communications Officer (CCO) or Vice President of Communications tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, strategic leadership skills, and often involve overseeing corporate messaging, public relations, and media relations at the organizational level.
What are popular job titles related to Phd Communications jobs in Raleigh, NC? For Phd Communications jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Phd Communications jobs? Cities near Raleigh, NC with the most Phd Communications job openings:
Infographic showing various Phd Communications job openings in Raleigh, NC as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $70,789 per year, or $34 per hour.

Senior Deep Learning Framework Communications Engineer

NVIDIA AI

Durham, NC • On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
NVIDIA AI is leading the way in groundbreaking developments in Artificial Intelligence and High Performance Computing. They are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for better performance in multi-GPU environments.
Responsibilities:
• Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production
• Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.
• Improve AI compilers to hide communications or perform automatic fusion.
• Conduct in-depth AI workload performance characterization on multi-GPU clusters.
• Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.
• Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.
• Influence the roadmap of communication libraries - NCCL & NVSHMEM.
• Collaborate with a very dynamic team across multiple time zones.
Qualifications:
Required:
• B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience
• Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang
• Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)
• Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)
• Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)
• Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)
• Adaptability and passion to learn new areas and tools
• Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes
• Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.