Runtime Engineer - Kernelize

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Overview

Kernelize Inc. is seeking a passionate Runtime Engineer to work with compiler backends for AI accelerators. The focus is on enabling and optimizing Triton kernels, facilitating broader adoption in machine learning (ML) training and inference. This position offers a unique opportunity to build a scalable runtime that supports various AI hardware accelerators and significantly enhance the field of ML optimization.

Company Insight

Kernelize is a forward-thinking company situated in the United States, dedicated to bridging the gap between AI optimizers and hardware vendors' custom AI accelerators through the Triton framework. Their approach aims to empower developers and researchers in the machine learning domain by providing optimized runtime solutions.

Position Overview

The Runtime Engineer role focuses on developing a scalable solution compatible with multiple AI accelerators. Candidates will contribute to cutting-edge technologies while shaping the core functionality of Kernelize's tech stack. This role is designed for individuals with enthusiasm for driving ML optimization using Triton, making it critical to have a mindset geared towards innovation and problem-solving.

Required Skills

To succeed in this role, applicants need to possess a strong set of technical skills including:

• Solid understanding of compiler technology and runtime systems.
• Proficiency in programming languages commonly used in machine learning and compiler development, such as C++ or Python.
• Experience with AI hardware accelerators, as well as a background in optimizing ML workflows.
• Familiarity with the Triton framework is highly beneficial.
• Excellent problem-solving skills and the ability to work independently in a remote setting.

Salary Information

While the precise salary for the Runtime Engineer role is not disclosed, Kernelize has indicated that total compensation will vary based on a range of factors including the candidate's years of experience, skill depth, and geographic location. They adopt a flexible salary structure for remote positions, which means pay will be influenced by the local economic conditions and competitive benchmarks specific to the market.

Kernelize emphasizes that salary will be determined at the company's discretion and that they consider various factors when establishing the salary range for each role. Therefore, candidates are encouraged to consider their unique skill set and geographic areas when assessing the potential compensation they might receive.

Employment Opportunity Statement

Kernelize is an Equal Employment Opportunity Employer. They are committed to a diverse workforce and welcome qualified applicants to apply without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability. This commitment to diversity ensures a workplace that fosters creativity and innovation, making it a desirable environment for all employees.

Conclusion

The Runtime Engineer position at Kernelize represents a thrilling opportunity for those looking to delve deeply into the realm of AI and machine learning optimization. With a focus on flexibility, innovation, and collaboration, this role promises to be an excellent fit for passionate individuals eager to contribute to a cutting-edge technology landscape. If you possess the required skills and have an enthusiasm for this field, applying to Kernelize could be a significant step in your career. Whether you are looking to significantly impact ML training and inference processes or to work in a dynamic and supportive environment, this position offers those possibilities.

This job offer was originally published on himalayas.app