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TetraMem - Accelerate The World · 7 hours ago

US 2026 Software - Machine Learning Intern

San Jose, CA

Internship

Onsite

Intern

$35/hr - $45/hr

Start in 2026

TetraMem is a company focused on accelerating technology through innovative hardware solutions. They are seeking a Software Intern to assist in developing tools and applications for neural network models on their analog compute-in-memory chips, working at the intersection of software, hardware, and artificial intelligence.

Computer Hardware

H1B Sponsor Likely

Responsibilities

Develop and optimize Python or C++ code for neural network and machine learning model compression, conversion, deployment, and runtime environments

Analyze and adapt ML models for to improve their compatibility and efficiency on compute-in-memory hardware and software

Support software design, development, and performance profiling

Collaborate with AI researchers and hardware engineers to validate system-level functionality

Participate in code reviews, testing, and documentation

Qualification

PythonC++Data structuresAlgorithmsSoftware architectureAI/ML frameworksEagerness to learnProblem-solving

Required

Currently pursuing a degree in Computer Science, Electrical Engineering, or related field

Solid programming experience in Python, C++, or similar

Understanding of data structures, algorithms, and software architecture

Strong problem-solving skills and eagerness to learn

Preferred

Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus

Company

TetraMem - Accelerate The World

TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption.

Founded in 2018

Newark, California, USA

51-200 employees

https://www.tetramem.com/

H1B Sponsorship

TetraMem - Accelerate The World has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (11)

2024 (10)

2023 (2)

2022 (1)

2021 (3)

2020 (1)