Software Intern - AI Compilers

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

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.

This role is hybrid based in Austin, TX.

Responsibilities

• Develop machine learning graph compiler
• Participate in the co-design of Tenstorrent's hardware and software stack
• Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
• Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
• Develop high-performance run-time engine
• Integrate the Tenstorrent software into leading machine learning frameworks
• Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications
• Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

Experience & Qualifications

• Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
• Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
• Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
• Strong problem solving and analytical skills

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.