Graduate ML Hardware Engineer

The Role


We are looking for graduate engineers passionate about a career in digital hardware design and verification. Working on the cutting edge of Arm IP, you will be creating technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more!


What will I be accountable for?


As a hardware engineer, you'll be part of a growing and highly skilled design team focusing on our ML and Neural Network IP. Working closely with colleagues from other international design centres, you will support the design and verification of Arm’s next generation IP, utilizing the latest methodologies and technology.
More than anything else, you must have a willingness to absorb as much as possible about this new frontier. Given the impact and reach of this field, you’ll be encouraged to share this knowledge with other engineers across the company. This is centred around promoting and demonstrating the Arm core beliefs and behaviours.
Job Requirements:Education & Qualifications
Working towards or completed university degree (or equivalent) in Electrical Engineering, Computer Science or other relevant subject.
Hands-on experience of machine learning and neural networks would be very useful, but not critical.
Please include your University Transcript (Grade sheet) to your application together with your English CV

Skills & Experience
RTL design experience
Experience in functional debug of errors in the RTL model.
Experience in the specification, creation, and debug of SystemVerilog/UVM constrained-random testbenches.
Good software engineering skills including understanding of object-oriented programming, data structures, and algorithms.
Proficiency in scripting languages such as Perl, Tcl, Python.
Assembly language for Arm or other architectures.

Our Core Beliefs lie at the heart of Arm and represent the essence of our organization. When combined and working together, they articulate the uniqueness of Arm culture:
Passion for Progress
Innovation that enables our ecosystems, Arm and our people to thrive.
Work with pace and judgment. Adapt to circumstances
Take risks in support of Arm's progress
Be accountable for the decisions you make. Learn from failure
Pursue innovation relentlessly.

We, Not I
Collaboration first, egos last.
Start with long-term value to customers and partners, and work back from there
Collaborate, decide, commit, and bring people with you
Make the most of all the skills and knowledge across Arm; share information with those who need it
Care about the people around you

Be your Forward-thinking Self
Skillful individuality, performance and fulfilment.
Be authentic
Seek and embrace differences
Encourage curiosity and challenge
Give people trust and autonomy; show people they can trust you to do forward-thinking work in pursuit of Arm's goals