2025 Intern, AI Algorithm NPU Simulation

665 Clyde Avenue, Mountain View, CA, USA

Samsung Research America Internship

Our employees are our most valuable asset. We focus on cultivating and sustaining a diverse work environment and culture. We maximize employee potential by expanding professional opportunities through learning and development and help them...

View all jobs at Samsung Research America Internship

Apply now Apply later

Lab Summary: The Samsung SoC Architecture Lab explores innovative SoC architecture, key IP blocks (CPU, GPU, NPU), bus / memory subsystem and multimedia subsystems for future Samsung Galaxy products (Smartphones, IoT and future devices) echoing Samsung’s AI for All strategy. We are defining the high performance SoC architecture development for various Galaxy device lineups. This lab collaborates with Samsung MX headquarter team, key R&D teams around the globe and Samsung's strategic SoC partners to innovate and reinvent technology that will positively impact hundred-millions of people around the world via the Galaxy flagship products.

Position Summary: We are looking for interns to help build programmable neural processing unit (NPU) simulator and AI algorithm (camera image and video enhancement AI algorithms, Generative AI algorithms, LLM/LVM/LMM up to Deepseek V3/R1) simulation on NPU for next generation mobile products. Software prototyping and simulation experience with focus on AI algorithms and/or NPU SW/HW is required for this position.

Position Responsibilities: 

  • Work with team members to build NPU simulator which mimics the behavior of NPU hardware within a mobile SoC (System on a Chip) at cycle-accurate or bit-accurate level
  • Work with the algorithm team to cover the use cases including camera, video, diffusion, LLM, LVM applications
  • Analyze AI algorithms and create neural network operators to NPU simulator
  • AI algorithm quantization to reduce model size while maintaining model accuracy
  • Create scheduling mechanism (compiler) to distribute AI model tasks to NPU hardware or simulator
  • Simulate AI algorithms on NPU hardware or simulator and identify the bottlenecks of hardware, such as memory bound or compute bound, and make optimal hardware proposal to mitigate the bottlenecks
  • Communicate the results across related engineering audiences (SW, HW, Architecture, Leadership)

Required Skills: 

  • Pursuing or completed MS/PhD degree in Computer Science, Electrical/Computer Engineering, or related discipline
  • Proficient in C/C++, Python and MATLAB programming languages
  • Hands-on experience with Github, PyTorch, TensorFlow, Visual Studio, ONNX libraries
  • In-depth understanding of camera enhancement algorithms, computational photography, CNN, transformer, diffusion, LLM/LVM, AI model quantization
  • NPU hardware micro architecture, on-chip memory, DMA, memory compression, SIMD
  • Extensive experience on implementing prototype code 
  • Strong grasp of memory and computation requirements and image quality expectations of state-of-the-art algorithms
  • Experience on identifying image/video quality metrics
  • Effective verbal and written communication skills to work with people across a wide range of disciplines and experience
Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.Hourly Pay Rate Range$44—$63 USD

Additional Information

Be careful not to disclose information related to the trade secrets of your previous or current employer(s)

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email sratalent@samsung.com.

Affirmative Action / Equal Opportunity

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to the links below.

Know Your Rights  |  Pay Transparency

Apply now Apply later
Job stats:  1  0  0
Category: Deep Learning Jobs

Tags: Architecture Computer Science Engineering Generative AI GitHub GPU LLMs Matlab ONNX PhD Prototyping Python PyTorch R R&D Research SIMD TensorFlow

Perks/benefits: Salary bonus

Region: North America
Country: United States

More jobs like this