... AI and HPC workloads for modern CPU and GPU architectures. • Profiling and eliminating ... Preferred : • Prior internship experience in a related field. • Experience with inference ...
... AI and HPC workloads for modern CPU and GPU architectures. • Profiling and eliminating ... Preferred : • Prior internship experience in a related field. • Experience with inference ...
Sales Engineer - LATAM
Manhattan, NY · Remote
... ML training, HPC simulations, data analytics, and GPU‐accelerated workloads Design for ... coursework, internships, or projects Strong analytical and problem‐solving skills ...
Sales Engineer - LATAM
Manhattan, NY · Remote
... ML training, HPC simulations, data analytics, and GPU‐accelerated workloads Design for ... coursework, internships, or projects Strong analytical and problem‐solving skills ...
Sales Engineer - US Fed
Manhattan, NY · Remote
... ML training, HPC simulations, data analytics, and GPU‐accelerated workloads Design for ... coursework, internships, or projects Strong analytical and problem‐solving skills ...
Sales Engineer - US Fed
Manhattan, NY · Remote
... ML training, HPC simulations, data analytics, and GPU‐accelerated workloads Design for ... coursework, internships, or projects Strong analytical and problem‐solving skills ...
... AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads Design for ... internships, or projects Strong analytical and problem-solving skills Customer-facing communication ...
... AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads Design for ... internships, or projects Strong analytical and problem-solving skills Customer-facing communication ...
Research Scientist, AI-Mediated Reality and Interaction Research - PhD New College Grad 2026
Manhattan, NY · On-site
... interns. • Create working interactive demonstrations to showcase your research ideas. • ... D. in Computer Science/Electrical Engineering or equivalent research experience. • Outstanding ...
Research Scientist, AI-Mediated Reality and Interaction Research - PhD New College Grad 2026
Manhattan, NY · On-site
... interns. • Create working interactive demonstrations to showcase your research ideas. • ... D. in Computer Science/Electrical Engineering or equivalent research experience. • Outstanding ...
Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads ... Prior internship experience in a related field. * Experience with inference optimization techniques ...
Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads ... Prior internship experience in a related field. * Experience with inference optimization techniques ...
Internship Hpc Engineer information
See Brooklyn, NY salary details
$11.63 - $13.40
2% of jobs
$13.40 - $15.17
4% of jobs
$16.94 is the 25th percentile. Wages below this are outliers.
$15.17 - $16.94
19% of jobs
$16.94 - $18.70
24% of jobs
The median wage is $18.82 / hr.
$18.70 - $20.47
17% of jobs
$21.54 is the 75th percentile. Wages above this are outliers.
$20.47 - $22.24
16% of jobs
$22.24 - $24.01
6% of jobs
$24.01 - $25.78
5% of jobs
$25.78 - $27.55
3% of jobs
$27.55 - $29.32
3% of jobs
$29.32 - $31.09
1% of jobs
$11
$20
$31
How much do internship hpc engineer jobs pay per hour?
As of May 27, 2026, the average hourly pay for internship hpc engineer in Brooklyn, NY is $20.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $21.97 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Internship HPC Engineer, and why are they important?
To thrive as an Internship HPC Engineer, you typically need a background in computer science, engineering, or a related field, with strong programming skills in languages like C, C++, or Python. Familiarity with Linux environments, parallel computing frameworks (such as MPI or OpenMP), and common HPC job schedulers is highly beneficial. Strong problem-solving abilities, teamwork, and effective communication help interns excel in collaborative, research-driven environments. These skills and qualities are crucial for contributing to complex computational projects and ensuring efficient use of high-performance computing resources.
What types of projects and technologies will I typically work with as an HPC Engineer intern?
As an HPC Engineer intern, you can expect to work on projects involving the setup, maintenance, and optimization of high-performance computing clusters. Daily tasks may include configuring networking, managing job schedulers, optimizing code for parallel processing, and troubleshooting hardware or software issues. You'll often collaborate with researchers, software developers, and IT staff to ensure systems run efficiently and meet user needs. This internship provides hands-on experience with technologies like Linux, MPI, Slurm, and various compilers, offering valuable exposure to both hardware and software aspects of supercomputing environments.
What are Internship HPC Engineers?
Internship HPC (High Performance Computing) Engineers are students or recent graduates who assist in designing, optimizing, and maintaining advanced computing systems used for complex tasks such as scientific simulations, data analysis, and machine learning. These interns often work with supercomputers, clusters, and parallel processing software to support research and engineering applications. Their responsibilities may include coding, troubleshooting hardware or software, and collaborating with more experienced HPC engineers. An HPC internship provides hands-on experience in a rapidly growing technology field and can lead to full-time roles in research, academia, or industry.
Which is the highest paid internship?
The highest paid internships are typically in fields like technology, finance, and engineering, including roles such as HPC (High-Performance Computing) Engineer internships. These internships often offer competitive stipends or salaries, especially at large tech companies or organizations with specialized technical needs. Compensation varies by industry, location, and company size, but technical internships in high-demand areas tend to be among the top paid.
What is the difference between Internship Hpc Engineer vs Hpc Engineer?
| Aspect | Internship Hpc Engineer | Hpc Engineer |
|---|---|---|
| Credentials | Typically pursuing or recently completed relevant degree | Bachelor's or Master's in Computer Science, Engineering, or related field |
| Work Environment | Internship programs, entry-level projects, supervised tasks | Full-time professional setting, independent project management |
| Industry Usage | Training and skill development in high-performance computing | Design, optimize, and maintain HPC systems in industry or research |
The main difference is that an Internship Hpc Engineer is a trainee or entry-level position focused on learning and gaining experience, while an Hpc Engineer is a full-time professional responsible for managing HPC systems. Internships serve as a stepping stone toward a full career as an Hpc Engineer, with the latter requiring more experience and expertise.
What are popular job titles related to Internship Hpc Engineer jobs in Brooklyn, NY? For Internship Hpc Engineer jobs in Brooklyn, NY, the most frequently searched job titles are:
- Software Engineer Remote Intern
- Internship Recent College Grad Software Developer
- System Safety Engineer Internship
- Internship 1099 Software Developer Contractor
- Linux System Engineer Internship
- Internship Software Engineer Military
- Volunteer Backend Developer Internship
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What job categories do people searching Internship Hpc Engineer jobs in Brooklyn, NY look for? The top searched job categories for Internship Hpc Engineer jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Internship Hpc Engineer jobs? Cities near Brooklyn, NY with the most Internship Hpc Engineer job openings:
Full-time
Posted 17 days ago
Job description
Job Summary:
NVIDIA is a leader in visual and AI computing, known for its pioneering work with GPUs. They are seeking an AI Developer Technology Engineer to enhance performance in AI and high-performance computing within financial markets, focusing on optimizing complex workloads and collaborating with industry experts.
Responsibilities:
• Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
• Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
• Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
Qualifications:
Required:
• Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
• Relevant work or research experience.
• Experience with low-level parallel programming (e.g., CUDA).
• Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
• Fluency in C/C++ and solid foundations in algorithms and software design.
• Experience improving the performance of large-scale computational applications on GPUs.
• Good understanding of linear algebra.
• Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Preferred:
• Prior internship experience in a related field.
• Experience with inference optimization techniques and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, and cuTile.
• Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
• Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.
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 a leader in visual and AI computing, known for its pioneering work with GPUs. They are seeking an AI Developer Technology Engineer to enhance performance in AI and high-performance computing within financial markets, focusing on optimizing complex workloads and collaborating with industry experts.
Responsibilities:
• Researching, designing, and developing groundbreaking techniques to accelerate high-performance workloads for FSI-focused, pioneering AI on NVIDIA CPUs and GPUs.
• Working with leading technical experts to analyze, optimize, and scale complex AI and HPC workloads for modern CPU and GPU architectures.
• Profiling and eliminating performance bottlenecks across the stack: from algorithms to kernels to system-level behavior.
• Publishing and presenting your work in conferences, talks, and blogs to educate and inspire the broader developer community.
• Influencing the design of future hardware architectures, system software, libraries, and programming models by collaborating closely with NVIDIA research, hardware, compiler, and tools teams.
Qualifications:
Required:
• Pursuing or recently completed a Master’s or PhD degree (or equivalent experience) in Computer Science, Computer Engineering, or Electrical and Computer Engineering or related field.
• Relevant work or research experience.
• Experience with low-level parallel programming (e.g., CUDA).
• Deep understanding of CPU/GPU architecture fundamentals and how they impact performance.
• Fluency in C/C++ and solid foundations in algorithms and software design.
• Experience improving the performance of large-scale computational applications on GPUs.
• Good understanding of linear algebra.
• Strong communication and organization skills, with a logical approach to problem solving and solid prioritization abilities.
Preferred:
• Prior internship experience in a related field.
• Experience with inference optimization techniques and deploying optimized AI models in production.
• Experience with TensorRT, TensorRT-LLM, and cuTile.
• Background in capital markets with exposure to systematic/algorithmic strategies or quantitative trading.
• Experience parallelizing and optimizing machine learning methods such as decision trees, time series models, and Monte Carlo simulations as well as knowledge of financial data models, pricing and risk simulation algorithms, portfolio optimization, or other finance-focused applications and services.
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