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 ...
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 ...
A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls. * Extensive knowledge of profiling ...
A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls. * Extensive knowledge of profiling ...
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 ...
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 ...
Nsight information
See Raleigh, NC salary details
$44.2K - $57.6K
1% of jobs
$57.6K - $71K
12% of jobs
$81.8K is the 25th percentile. Wages below this are outliers.
$71K - $84.4K
15% of jobs
$84.4K - $97.8K
18% of jobs
The median wage is $100.4K / yr.
$97.8K - $111.2K
19% of jobs
$119K is the 75th percentile. Wages above this are outliers.
$111.2K - $124.6K
16% of jobs
$124.6K - $137.9K
10% of jobs
$137.9K - $151.3K
4% of jobs
$151.3K - $164.7K
2% of jobs
$164.7K - $178.1K
2% of jobs
$178.1K - $191.5K
0% of jobs
$44.2K
$112.3K
$191.5K
How much do nsight jobs pay per year?
As of Jun 23, 2026, the average yearly pay for nsight in Raleigh, NC is $112,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $123,500.00 per year, depending on experience, location, and employer.
What types of projects do employees typically work on at Nsight, and how do teams collaborate to achieve project goals?
At Nsight, employees often work on technology consulting projects that may include digital transformation, cloud migration, or IT infrastructure optimization. Teams are typically cross-functional, combining consultants, project managers, and technical specialists to tackle client challenges. Collaboration is highly valued, with regular meetings, clear communication channels, and shared project management tools to ensure everyone is aligned. Employees are encouraged to contribute ideas and work closely with clients, which helps build both technical and interpersonal skills.
What are Nsight jobs?
Nsight jobs typically refer to positions at Nsight, a telecommunications company offering internet, phone, and IT services primarily in Wisconsin and Michigan. Employees at Nsight can work in various roles such as customer service, technical support, network engineering, sales, and IT. These jobs often involve helping customers with their services, maintaining network infrastructure, or developing new solutions. Nsight values teamwork, innovation, and customer satisfaction, and offers opportunities for professional growth in the tech and telecom industries.
What are the key skills and qualifications needed to thrive as a Data Analyst at Nsight, and why are they important?
To thrive as a Data Analyst at Nsight, you generally need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and possibly certifications like Microsoft Certified: Data Analyst Associate is typically expected. Attention to detail, effective communication, and problem-solving abilities help you interpret data and present actionable insights clearly to stakeholders. These skills enable accurate data-driven decision-making and facilitate collaboration across teams, driving organizational success.
What is the difference between Nsight vs Network Security Analyst?
| Aspect | Nsight | Network Security Analyst |
|---|---|---|
| Required Certifications | Typically Cisco, CompTIA Security+ | CompTIA Security+, CISSP, CEH |
| Work Environment | IT consulting firms, tech companies, remote options | Corporate IT departments, security firms, government agencies |
| Industry Usage | Technology, consulting, cybersecurity | Cybersecurity, IT, finance, government |
| Common Search/Comparison | Yes | Yes |
While Nsight professionals focus on providing IT consulting and solutions, Network Security Analysts specialize in protecting networks from threats. Both roles require cybersecurity certifications and work in tech environments, but Nsight roles often involve broader IT consulting, whereas Network Security Analysts focus specifically on security measures and threat mitigation.
What are popular job titles related to Nsight jobs in Raleigh, NC? For Nsight jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Nsight jobs in Raleigh, NC look for? The top searched job categories for Nsight jobs in Raleigh, NC are:
Full-time
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Job description
Job Summary:
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for large-scale workloads.
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:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for large-scale workloads.
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:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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