AI Compiler Intern: ML Systems & Performance

Tenstorrent University Jobs; Austin (TX); Hybrid; USD 68,880 - 96,432; Full time

Benefits offered by this job

Competitive compensation package

Mentorship and career growth opportunities

Job summary

A leading AI technology company in Austin is seeking a motivated individual for a hybrid role to develop machine learning solutions and optimize performance across their hardware and software stack. Candidates should be final year BS/MS or PhD candidates in relevant fields with strong programming skills in C/C++. Experience with machine learning, compilers, and analytical problem-solving is required. Competitive compensation ranges from $50/hr to $70/hr based on qualifications and experience.

Qualifications

• Strong GPA in relevant degree program.
• Familiarity with compilers, parallel programming, or computer architecture is a plus.
• Experience with Python is beneficial.

Responsibilities

• Develop machine learning graph compiler.
• Optimize performance of machine learning applications.
• Integrate Tenstorrent software into machine learning frameworks.

Skills

C/C++ software development

Algorithms and data structures

Machine learning

Analytical skills

Education

Final year BS/MS or PhD in EE/ECE/CE/CS

Job description

A leading AI technology company in Austin is seeking a motivated individual for a hybrid role to develop machine learning solutions and optimize performance across their hardware and software stack. Candidates should be final year BS/MS or PhD candidates in relevant fields with strong programming skills in C/C++. Experience with machine learning, compilers, and analytical problem-solving is required. Competitive compensation ranges from $50/hr to $70/hr based on qualifications and experience.