Graduate AI/ML Hardware Verification Engineer
ArmRole Summary
The role involves collaborating on the verification of digital hardware focused on Machine Learning and Neural Network designs. The Graduate AI/ML Hardware Verification Engineer will join a skilled team to help shape technology for mobile apps, IoT devices, and more.
Experience Level
Entry-level, suitable for recent graduates or those pursuing a degree.
Responsibilities
Key responsibilities include:
- Developing and verifying Machine Learning and Neural Network hardware.
- Collaborating with international teams to contribute to next-generation Arm IP.
- Learning and applying sophisticated hardware verification techniques.
- Writing reliable, high-quality code.
Requirements
Must-have qualifications include:
- A degree in Electrical Engineering, Computer Science, or a related field.
- Interest in programming and system design.
- Strong communication skills.
Nice-to-have skills:
- Understanding of digital hardware and hardware description languages.
- Experience with object-oriented programming.
- Basic knowledge of computer architecture and machine learning.
Education Requirements
A degree in Electrical Engineering, Computer Science, or a related field is required.
About the Company
Company: Arm
Headquarters: Cambridge, United Kingdom
ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.
