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Smart Ai Jobs in Raleigh, NC (NOW HIRING)

Smart NIC Software Engineer, Embedded

Raleigh, NC · On-site

$127K - $168K/yr

Develop next generation AI/ML Networking solutions as well as Smart NICs at Google, taking the ... projects through development into production. Information collected and processed as part of your ...

Includes supporting use cases related to IoT devices and Smart City initiatives. • Develop ... AI & Machine Learning • Assist in building and monitoring AI models using SAS Viya and other ...

Physical AI Senior Manager

Raleigh, NC · On-site

$123K - $162K/yr

Physical AI Senior Manager - Manufacturing & Supply Chain We are a team of strategic advisors ... Imagine working with world-class supply network capabilities like Smart Factory, Strategy ...

Support digital transformation initiatives across multiple areas, such as Smart Factory, Industry 4 ... Contribute to the creation of AI-powered products or services. * Participate in research and ...

Support digital transformation initiatives across multiple areas, such as Smart Factory, Industry 4 ... Contribute to the creation of AI-powered products or services. * Participate in research and ...

We make entertainment more entertaining, and smart devices smarter. From the home to the car to ... digital entertainment, and AI applications - in any environment. Xperi is at the heart of ...

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Smart Ai information

See Raleigh, NC salary details

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How much do smart ai jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for smart ai in Raleigh, NC is $45.34, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $48.61 per hour, depending on experience, location, and employer.

What is the difference between Smart Ai vs Data Analyst?

AspectSmart AiData Analyst
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI toolsDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, software firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed by AI startups, tech giants, and software developersEmployed across various industries for data-driven decision making
Search & Comparison IntentUnderstanding AI roles, tools, and capabilitiesAnalyzing data, generating reports, and insights

Smart Ai focuses on developing and implementing artificial intelligence systems, often requiring expertise in machine learning and programming. Data Analysts interpret data sets to provide actionable insights, typically using statistical tools. While both roles involve working with data, Smart Ai is more technical and development-oriented, whereas Data Analysts focus on analysis and reporting.

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

To thrive as a Smart AI Engineer, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience in AI development. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms are essential. Critical thinking, creativity, and effective communication are important soft skills for designing innovative solutions and collaborating with cross-functional teams. These skills and qualities are crucial for developing robust AI systems that deliver real-world value and adapt to evolving technological demands.

How does a Smart AI Engineer typically collaborate with cross-functional teams during project development?

Smart AI Engineers often work closely with data scientists, software developers, and product managers to design, build, and deploy intelligent systems. Collaboration usually involves regular meetings to align on project goals, sharing insights from data analysis, and integrating AI models into existing platforms. Effective communication is key, as Smart AI Engineers must translate complex technical concepts for non-technical stakeholders and adapt solutions based on feedback. This teamwork fosters innovation and ensures that AI solutions align well with business needs and user requirements.

What are Smart AI professionals?

Smart AI professionals are experts who specialize in designing, developing, and maintaining artificial intelligence systems that can learn, adapt, and perform tasks typically requiring human intelligence. Their work can include machine learning, natural language processing, computer vision, and robotics, among other areas. These professionals collaborate with data scientists, engineers, and domain experts to create AI solutions for various industries such as healthcare, finance, and technology. Their goal is to build intelligent systems that can solve complex problems, automate processes, and enhance decision-making.
What are popular job titles related to Smart Ai jobs in Raleigh, NC? For Smart Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Smart Ai jobs in Raleigh, NC look for? The top searched job categories for Smart Ai jobs in Raleigh, NC are:
Smart NIC Software Engineer, Embedded

Smart NIC Software Engineer, Embedded

Google

Raleigh, NC • On-site

$127K - $168K/yr

Full-time

Posted 21 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

38th of 202 rated software companies


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience developing innovative AI/ML networking solutions and host-host networking stacks.
  • 2 years of experience with software development in C or C .
  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
  • 1 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 innovative and 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: $147000 - $211000 (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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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