TetraMem - Accelerate The World
Posted 107 days agoVerified live 2d ago
Machine Learning Intern (Singapore)
Brief overview
San Jose, CAIn-person
UndergradOr in progress
$35–$45/hrStated range
15 H-1B approvalsDept. of Labor
1 green cardsCertified filings
About the company
TetraMem - Accelerate The Worldtetramem.com
TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.15H-1B approved
100%approval rate
7new H-1B hires
1PERM certified
$138,362median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20248
20253
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20251
Top sponsored roles
ML Model Development EngineerPrincipal Analog Layout Engineer
Job description
Summary
TetraMem is an innovative company focused on accelerating technology through novel analog compute-in-memory chips. They are seeking a Machine Learning Intern to support the development of tools and applications for neural network models, working at the intersection of software, hardware, and artificial intelligence.
Responsibilities
- Develop, optimize, and maintain Python and C++ software for neural network model compression, conversion, deployment, and runtime environments
- Design and implement tools to improve machine learning model efficiency, including quantization, pruning, graph optimization, and memory reduction techniques
- Analyze and adapt machine learning models to improve compatibility, performance, and power efficiency on Compute-in-Memory (CIM) and Analog AI hardware architectures
- Develop software frameworks, APIs, and runtime components to support end-to-end AI model deployment on edge AI and embedded systems
- Perform software design, implementation, debugging, testing, and performance profiling to optimize system throughput, latency, and resource utilization
- Collaborate closely with AI researchers, hardware engineers, and system architects to validate hardware-software co-design and system-level functionality
- Evaluate emerging machine learning models, algorithms, and deployment techniques to enhance AI inference performance on next-generation semiconductor platforms
- Participate in code reviews, establish software quality standards, and contribute to automated testing, continuous integration, and technical documentation
- Troubleshoot software and system issues across the AI stack, including model conversion pipelines, runtime environments, and hardware acceleration frameworks
- Contribute to the development of innovative AI computing technologies and support research activities through technical presentations, publications, patents, and cross-functional collaboration
Skills
- 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
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
Qualifications
Must Haves
- 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
Nice to Haves
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
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