Research Scientist (Machine Learning)
Role details
Job location
Tech stack
Job 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 suitable 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 make a difference by influencing the verification strategy and methodology, taking ownership of complex work packages and driving them to success., At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. 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. Equal Opportunities at Arm
Requirements
- 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 detail . Curiosity to resolve ambiguities.
- Proficiency in problem solving and debugging.
- The 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)
Tagged as: Industry, Machine Learning, Neural Networks, NLP, United Kingdom
