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Nsight Jobs in California (NOW HIRING)

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Experience with profiling and benchmarking tools (e.g., Nsight Systems, Nsight Compute) to validate performance on complex architectures. * Experience identifying and resolving compute and data flow ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Profile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation * Write high-performance CUDA and Triton kernels for critical model operations * Optimize cold start ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Profile and optimize GPU workloads using Nsight Systems, nvprof, and custom instrumentation * Write high-performance CUDA and Triton kernels for critical model operations * Optimize cold start ...

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Nsight information

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?

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?

AspectNsightNetwork Security Analyst
Required CertificationsTypically Cisco, CompTIA Security+CompTIA Security+, CISSP, CEH
Work EnvironmentIT consulting firms, tech companies, remote optionsCorporate IT departments, security firms, government agencies
Industry UsageTechnology, consulting, cybersecurityCybersecurity, IT, finance, government
Common Search/ComparisonYesYes

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 California? For Nsight jobs in California, the most frequently searched job titles are:
What job categories do people searching Nsight jobs in California look for? The top searched job categories for Nsight jobs in California are:
What cities in California are hiring for Nsight jobs? Cities in California with the most Nsight job openings:
Nsight jobs near you
Infographic showing various Nsight job openings in California as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Inference Optimization Intern - Performance Modeling

Institute of Foundation Models

Sunnyvale, CA • On-site

Internship

Re-posted 17 days ago

Job description

About the Institute of Foundation Models
The Institute of Foundation Models is dedicated to advancing the science and engineering of large-scale AI systems. Our researchers and engineers develop cutting-edge foundation models while pushing the limits of high-performance computing and efficient AI inference. By combining deep expertise in machine learning, systems engineering, and hardware optimization, we build scalable AI solutions that drive scientific discovery and real-world impact.
As part of the team, interns work alongside world-class researchers and performance engineers to optimize the execution of large-scale foundation models on next-generation NVIDIA GPU architectures. This internship provides hands-on experience in low-level GPU performance analysis, kernel optimization, and hardware-aware inference acceleration.
Key Responsibilities
This intensive internship offers a unique opportunity to contribute to the development of a simulator and profiling framework for foundation model inference on NVidia GPUs.
Responsibilities include:
  • Develop analytical performance models for GPU kernels and inference workloads.
  • Build and validate a simulator to estimate theoretical hardware performance limits.
  • Compare measured kernel performance against architectural peak throughput.
  • Identify performance bottlenecks in compute, memory, communication, and scheduling.
  • Analyze GPU execution using NVIDIA Nsight Systems and Nsight Compute.
  • Investigate PTX and SASS code generation to understand low-level execution behavior.
  • Collaborate with researchers and engineers to optimize inference kernels for transformer-based models.
  • Evaluate utilization of Tensor Cores, memory bandwidth, caches, and instruction pipelines.
  • Design profiling methodologies for Hopper and Blackwell architectures.
  • Document findings and provide actionable recommendations for performance improvements.

Academic Qualifications
Currently pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, High-Performance Computing, or a related quantitative discipline.
Preferred Qualifications
  • Experience with CUDA programming and GPU kernel development.
  • Understanding of NVIDIA GPU architecture and memory hierarchy.
  • Familiarity with performance profiling tools such as Nsight Systems and Nsight Compute.
  • Knowledge of PTX, SASS, and low-level GPU execution.
  • Experience optimizing CUDA kernels for throughput and latency.
  • Understanding of roofline analysis, performance modeling, and hardware utilization metrics.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Strong programming skills in C++, CUDA, and Python.

Desired Skills
  • Performance engineering mindset.
  • Strong analytical and debugging abilities.
  • Interest in AI systems, inference optimization, and hardware-software co-design.
  • Ability to work independently on research and engineering challenges.
  • Excellent written and verbal communication skills.

Apply