- Top 10% of respondersApus Network is in the top 10% of companies in terms of response time to applications
- Responds within two weeksBased on past data, Apus Network usually responds to incoming applications within two weeks
AI Inference System Engineer (Internship Available)
- $24k – $48k • No equity
- Remote •+4
- 1 year of exp
- Full Time
Posted: 5 months ago
Visa Sponsorship
Not Available
Remote Work Policy
Remote only
Preferred Timezones
China Standard Time
RelocationNot Allowed
Skills
Python
C++
Machine Learning
Computer Science
Git
C
Linux
Linux Kernel
OpenMP
CUDA
Electronics Engineering
openCL
GPU Computing
Parallel processing GPU simulations / CUDA
GPU computing CUDA OpenACC
TensorFlow
GPU and Parallel Programming
LLVM/Clang
About the job
Project Overview: We are a renowned international Web3 project combining AI and blockchain, dedicated to building a Trustless GPU network to democratize AI computing power. We offer talented young individuals a global stage and opportunities to interact with senior experts.
Responsibilities:
- Assist in designing, developing, and maintaining AI inference systems, focusing on llama.cpp.
- Participate in optimizing AI inference on GPUs to improve performance and efficiency.
- Learn and contribute to front-end and back-end development of AI-related applications.
Requirements:
- Education:
- Current master's or undergraduate student in Computer Science, Electronic Engineering, Communications, or related fields.
- Preference given to students from top universities.
- Personal Qualities:
- Strong interest and curiosity in Web3 and AI-related technologies.
- Ability and enthusiasm to quickly learn new technologies.
- Excellent analytical and problem-solving skills.
- Good communication skills and team spirit.
- Technical Foundation:
- Proficiency in C, C++, or Python.
- Basic understanding of compiler principles.
- Familiarity with Linux operating system and git version control.
- Internship Experience:
- Able to commit to a long-term internship (minimum 3 months).
- Priority given to those with relevant internship or project experience.
Bonus Points:
- Initial understanding of GPU programming models like CUDA, OpenCL.
- Experience contributing to open-source projects.
- Published papers or awards in related fields.
We Offer:
- Opportunities to learn directly from world-class experts.
- Practical experience in cutting-edge technology projects.
- Flexible remote work hours, considering students' academic commitments and potential future full-time opportunities.
If you are passionate about Web3 and AI technologies, have a strong ability to learn, and are creative, we cordially invite you to join our team and explore the future of AI and blockchain together!
About the company
- Top 10% of respondersApus Network is in the top 10% of companies in terms of response time to applications
- Responds within two weeksBased on past data, Apus Network usually responds to incoming applications within two weeks
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