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Internship Cuda Programmer Jobs in New York (NOW HIRING)

Pangram

Machine Learning Engineer (Junior)

New York, NY · On-site

$135K - $150K/yr

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks ...

Pangram

Machine Learning Engineer (Junior)

Manhattan, NY · On-site

$90 - $130/hr

Practical experience with deep learning: internships, undergrad or masters' level research projects ... Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

iSoftStone

Associate AI Developer

White Plains, NY

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

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Internship Cuda Programmer information

What is the difference between Internship Cuda Programmer vs Cuda Developer?

AspectInternship Cuda ProgrammerCuda Developer
CredentialsEnrolled in or recent graduate of Computer Science or related fieldBachelor's or higher in Computer Science, with experience in CUDA programming
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, developing complex GPU-accelerated applications
Industry UsageResearch labs, tech companies, internships for skill developmentTech firms, gaming, scientific computing, high-performance computing

While an Internship Cuda Programmer is typically a learning position for students or recent graduates gaining foundational experience, a Cuda Developer is a full-time professional responsible for designing and optimizing GPU-accelerated software. The roles differ mainly in experience level, responsibilities, and career stage, but both require knowledge of CUDA programming and GPU architecture.

Are internship CUDA programmers in demand?

Internship CUDA programmers are in demand in industries that require high-performance computing, such as gaming, scientific research, and AI development. Proficiency in parallel programming and experience with NVIDIA's CUDA platform increase employability, especially as demand for GPU-accelerated applications grows.

What are the most commonly searched types of Cuda Programmer jobs in New York?

The most popular types of Cuda Programmer jobs in New York are:

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For Internship Cuda Programmer jobs in New York, the most frequently searched job titles are:

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Internship Cuda Programmer jobs near you

Machine Learning Engineer (Junior)

Pangram

New York, NY • On-site

$135K - $150K/yr

Full-time

Posted 11 days ago

Job description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.
At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC.
Responsibilities:
  • Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models
  • Manage distributed infrastructure for multi-GPU LLM training
  • Profiling and optimizing training and inference code
  • Deploy efficient inference pipelines for serving LLMs at scale

Requirements:
  • B.S. or M.S. in Computer Science or related areas
  • Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting side projects
  • Strong programming skills in Python and modern ML frameworks
  • Excellent understanding of transformers and LLM fundamentals
  • Comfort working across research and engineering boundaries

Nice to have
  • Experience with NVIDIA GPU programming and CUDA
  • Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
  • Experience with inference frameworks like vLLM
  • Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
  • Experience with MLOps and experiment tracking
  • Experience with DevOps tools
  • Familiarity with cloud-based infrastructure (AWS/GCP)

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