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Phd Software Engineer Jobs in Raleigh, NC (NOW HIRING)

Smart NIC Software Engineer, Embedded

Durham, NC · On-site

$127K - $167K/yr

Master's degree or PhD in Computer Science or a related technical field. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect ...

Senior Software Engineer, CUTLASS Kernels

Durham, NC · On-site

$118K - $156K/yr

Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent ...

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high ... Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent ...

Showing results 21-40

Phd Software Engineer information

See Raleigh, NC salary details

$61.7K

$143.4K

$199.8K

How much do phd software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for phd software engineer in Raleigh, NC is $143,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $168,200.00 per year, depending on experience, location, and employer.

What is a PhD software engineer?

A PhD Software Engineer is a professional who has completed a Doctor of Philosophy (PhD) degree specializing in computer science, software engineering, or a related field, and works in designing, developing, and optimizing software systems. They often engage in advanced research, develop innovative algorithms, and solve complex technical problems. Their expertise is typically utilized in roles that require deep technical knowledge, research skills, and the ability to push the boundaries of current technology. PhD Software Engineers are commonly found in academia, research institutions, and leading technology companies.

What does a PhD software engineer do?

As a PhD Software Engineer, you are often entrusted with tackling complex problems and leading research-driven projects that require advanced analytical and technical skills. Your daily work may involve designing novel algorithms, conducting experiments, and collaborating closely with cross-functional teams such as data scientists and product managers. Additionally, you might mentor junior engineers and help shape the technical direction of your team. This role leverages your research background to bridge the gap between academic innovation and practical software solutions.

What are the key skills and qualifications needed to thrive as a PhD software engineer?

A PhD Software Engineer requires advanced programming expertise, strong analytical and research skills, and typically a doctorate in computer science or a related field. Familiarity with specialized programming languages, version control systems like Git, and experience with research-oriented software tools are common technical requirements. Exceptional problem-solving, collaboration, and communication skills help bridge the gap between research and practical application. These abilities are crucial for driving innovation, translating complex theories into scalable solutions, and contributing to cutting-edge technology projects.

What cities near Raleigh, NC are hiring for Phd Software Engineer jobs?

Cities near Raleigh, NC with the most Phd Software Engineer job openings:

Infographic showing various Phd Software Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $143,405 per year, or $68.9 per hour.

Smart NIC Senior Software Engineer, Embedded

Socket.dev

Raleigh, NC • On-site

$174 - $252/hr

Other

Posted 9 days ago


Job description

Minimum qualifications:
  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C or C++.
  • 3 years of experience developing AI/ML networking solutions and host- networking stacks.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 3 year of experience working with embedded operating systems.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
About the job:

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The NetInfra group is responsible for developing networking infrastructure that powers Google services and Google Cloud. We design and build efficient data center networks and end-host networking stacks. We have a rare opportunity to redefine the host networking technology for the next decade.

As a Software Engineer, you will be passionate about networking and systems programming. If you are interested in building the next generation host networking stack and making an impact at Google's scale, this is the team for you.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement and execute testable system solutions; conduct validation of behavior and suitability of prospective hardware units, prototypes, emulations, or simulations for use in the Google infrastructure.
  • Advance new approaches to leverage offloads efficiently with Google hardware and software so you can build and test software in C++ for use on Google's ML Library solutions and Smart NICs.
  • Develop next generation AI/ML Networking solutions as well as Smart NICs at Google, taking the projects through development into production.
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