Principal Software Engineer Visa Sponsorship Jobs in North Carolina
Principal software engineer visa sponsorship jobs in North Carolina are concentrated in the Research Triangle (Raleigh, Durham, Chapel Hill), where employers like Red Hat, Lenovo, Cisco, and SAS Institute actively hire senior engineering talent. Charlotte's growing fintech sector and the presence of major research universities create additional demand for experienced engineers who need H-1B visa or O-1 visa sponsorship.
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Get Access To All JobsINTRODUCTION
NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about kubernetes and GPUs, and love having fun, please apply today!
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
ROLE AND RESPONSIBILITIES
What you will be doing:
- You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes.
- Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
BASIC QUALIFICATIONS
What we need to see:
- Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with kubernetes APIs and frameworks not just operating a cluster.
- Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
- 15+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques.
- You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
- Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager).
- Proven operational excellence in maintaining reliable and performant AI infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 17, 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.
INTRODUCTION
NVIDIA is hiring experienced software engineers with kubernetes experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with kubernetes including cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about kubernetes and GPUs, and love having fun, please apply today!
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
ROLE AND RESPONSIBILITIES
What you will be doing:
- You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to scheduling GPU resources on kubernetes.
- Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
BASIC QUALIFICATIONS
What we need to see:
- Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with kubernetes APIs and frameworks not just operating a cluster.
- Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
- 15+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques.
- You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
- Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Bright Cluster Manager).
- Proven operational excellence in maintaining reliable and performant AI infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 17, 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.
Principal Software Engineer Job Roles in North Carolina
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Search Principal Software Engineer Jobs in North CarolinaPrincipal Software Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for principal software engineers in North Carolina?
North Carolina's Research Triangle is home to several active sponsors at the principal engineer level, including Red Hat, Cisco, SAS Institute, and Lenovo. In Charlotte, Bank of America, Wells Fargo, and LendingTree have sponsored senior engineering roles. Biotechnology and life sciences companies in the Durham and RTP area, such as Biogen and Syneos Health, also file H-1B petitions for senior technical positions.
Which visa types are most common for principal software engineer roles in North Carolina?
The H-1B is the most common visa for principal software engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science or a related field. Candidates with extraordinary ability may pursue the O-1A. Intracompany transferees at large employers like Cisco or Lenovo may qualify for an L-1A or L-1B depending on their role and prior employment history.
Which cities in North Carolina have the most principal software engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, accounts for the largest share of principal software engineer sponsorship jobs in North Carolina, driven by its concentration of technology companies, startups, and research institutions. Charlotte is the second-largest market, anchored by its financial services sector. Smaller but active hiring pockets exist in Cary, Morrisville, and the areas immediately surrounding Research Triangle Park.
How to find principal software engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for principal software engineer roles in North Carolina without sorting through positions that do not sponsor. You can filter by location across the Research Triangle, Charlotte, and other North Carolina markets. Because principal engineer roles are senior and often filled through targeted sourcing, checking Migrate Mate regularly and setting up alerts helps you catch new postings early.
What should principal software engineers know about the North Carolina job market before pursuing sponsorship?
North Carolina's Research Triangle Park is one of the largest research and technology campuses in the United States, which supports a strong pipeline of senior engineering roles at both established companies and well-funded startups. The presence of NC State, Duke, and UNC-Chapel Hill means many employers are familiar with sponsoring international talent. Principal-level roles are typically classified under specialty occupation standards, and employers at this level generally have established immigration counsel and HR processes for H-1B filings.
What is the prevailing wage for sponsored principal software engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.