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Research scientist (machine learning)

Wythenshawe
ARM
Research scientist
€60,000 a year
Posted: 26 November
Offer description

Are you passionate about digital hardware verification? This is a fantastic opportunity to move into a team developing hardware to support Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on the cutting edge of Arm IP, you will help craft technology to power next generation technology from mobile devices to data centers and more! We have multiple positions available across the UK, Sweden and Israel for candidates with a range of experience levels.


Responsibilities

Joining our growing and versatile team, you'll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Cooperating with colleagues across global design centers, you'll drive meaningful projects and help deliver Arm's next-generation IP using the most sophisticated tools and methodologies. As a verification engineer, you will influence the verification strategy and methodology, take ownership of complex work packages, and drive them to success.


Qualifications

* Experience of simulation based verification of RTL designs. Familiarity with constrained random verification, coverage metrics, checking methodologies, probably using SystemVerilog and UVM.
* Ability to apply complex specification details. Curiosity to resolve ambiguities.
* Proficiency in problem solving and debugging.
* Interpersonal skills to work well in a diverse team and a practical, result‑focused approach.


Additional Qualities That Will Help Your Application Stand Out

* Experience as a team lead, planning tasks, producing realistic effort estimates, mentoring and supporting team members.
* Formal verification experience.
* Experience with C/C++ microarchitectural models.
* Familiarity with Arm architecture and AMBA bus protocols.
* Experience in requirements definition and management.
* Experience with CI platforms and version control tools.
* Practical knowledge of machine learning and neural networks. Senior (5+ years of experience).


Tags

* Industry
* Machine Learning
* Neural Networks
* NLP
* United Kingdom

Equal Opportunities at Arm

Hybrid Working at Arm: Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly proficient engineers. You'll share ideas with and learn new skills from some of the best engineers in the world! As well as a friendly and high‑performance working environment, Arm offers a competitive benefits package and a hybrid working approach. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: https://careers.arm.com/en/10x-mindset

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