ML Compiler Intern (AI2425)

San Jose, California, United States

⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️

SiMa.ai

Introducing the first Machine Learning SoC (MLSoC™) platform, purpose-built to let you effortlessly scale and deploy ML at the embedded edge. Effortless ML, artificial intelligence, MLSoC, Palette software, Edgematic.

View all jobs at SiMa.ai

Apply now Apply later

Job Title: ML Compiler Intern    Job Location: San Jose, CA    Job ID: AI2425    Internship Term: Aug 2025 through Dec 2025    Internship Stipend: The hourly pay rate range for this position is for MS: $44 - $46 and for PhD: $53 - $57.   ONSITE: This role requires the Intern to work from our San Jose, California office during the duration of the Internship.     Roles and Responsibilities:    As a member of the MLA Software team, you will have the opportunity to make significant contributions to SiMa.ai’s state-of-the-art Machine Learning Accelerator (MLA) compiler.  This compiler framework supports hundreds of Convolutional Neural Networks (CNNs), as well as a wide variety of Large Language Models (LLMs) and Large Multimodal Models (LMMs).  Projects that you may work on include, but are not limited to, the following:
  • Implement compiler support for new CNNs, LLMs, and LMMs.
  • Implement algorithms within the compiler framework that improve accuracy and run-time performance for a wide variety of ML models.
  • Identify and implement optimizations to speed up compilation time.
  Requirements (Experience and Expertise Areas):    
  • Candidates are expected to have recently graduated, or nearing graduation, with an M.S. or Ph.D. in Computer Science or a related field.
  • Strong programming skills in Python, C, or C++.
  • Strong background in algorithms and data structures.
  • Familiarity with PyTorch and ONNX deep learning frameworks.
  • Solid understanding of machine learning algorithms (e.g., matrix multiplication and convolution).
  • Solid understanding of Generative AI, including LLM architecture.
  • Solid understanding of processor architecture.
  • Can-do attitude.
  • Curious, creative, and good at solving problems. 
  • Execution and results oriented.
  • Self-driven. 
  • Good communication skills.
EEO Employer: SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
    Apply now Apply later
    Job stats:  13  7  0

    Tags: Architecture Classification Computer Science Deep Learning Generative AI LLMs Machine Learning ML models ONNX PhD Python PyTorch

    Region: North America
    Country: United States

    More jobs like this