Compiler Engineer Machine Learning

Compiler Engineer Machine Learning Overview

Join Arm as a Compiler Engineer specializing in Machine Learning, where you’ll be at the forefront of developing innovative compiler solutions for embedded edge devices. This role offers an exciting opportunity to work on next-generation machine learning applications, contributing to the design, development, debugging, and deployment of high-performance software components. You will be part of dynamic, agile teams that focus on achieving ambitious goals, with a strong emphasis on individual ownership and collaboration.

About the Role

In this position, you will be responsible for creating and refining features for Arm’s embedded machine learning products. Your tasks will include debugging complex software, testing new features, and ensuring the delivery of reliable, efficient solutions. Collaboration is key, and you will work closely with hardware teams to optimize compiler performance based on processing pipelines. You will also participate in code reviews, defect tracking, and version control management to uphold high standards of quality.

Team and Impact

You will join a team committed to pushing the boundaries of embedded ML technology, impacting a wide range of applications from mobile devices to autonomous vehicles. Your contributions will help shape the future of computing, influencing industries such as healthcare, smart cities, and automotive technology. Working in a small, innovative environment, your ideas and efforts will have a significant impact on Arm’s product offerings and technological advancements.

Essential Skills and Experience

• Proven experience in embedded software development, including working with bare-metal systems, RTOS, device drivers, I/O, memory, power, and security features.
• Strong programming skills in C, C++, or Python, with a track record of designing, testing, and debugging complex software.
• Excellent analytical abilities and a passion for solving challenging technical problems.
• Effective communication skills and the ability to work collaboratively within diverse teams.
• Solid understanding of compiler fundamentals and hardware processing pipelines.
• A relevant technical degree or equivalent experience in fields such as Machine Learning, Computer Science, Electrical Engineering, or Physics.

Desirable Skills and Experience

• Knowledge of machine learning applications and frameworks.
• Experience with structured development methodologies, defect tracking, and version control systems.
• Understanding of computer architectures, digital signal processing, or control systems.
• Experience working within agile environments, including CI/CD and TDD practices.

Our Culture and Mindset

At Arm, we foster a mindset of curiosity, ambition, and impact. Our 10x approach encourages thinking bigger, learning rapidly, and collaborating effectively to turn bold ideas into real-world technology. We support your growth and innovation, welcoming diverse perspectives and creative problem-solving.

Additional Information

We support AI-assisted applications during the recruitment process, emphasizing authentic responses and individual expertise. If you require accommodations during the hiring process, please contact [email protected]. Our hybrid working model aims to balance face-to-face collaboration with flexibility, with specific arrangements tailored to each team and role.

Equal Opportunity Statement

Arm is committed to creating an inclusive environment where all individuals are treated with respect and fairness. We do not discriminate based on race, religion, gender, sexual orientation, nationality, disability, or veteran status.

Degree Requirement: Not Specified

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