Job Overview
Do you have a passion to shape the future of chip design? In the Solutions Engineering group at Arm, we offer the outstanding opportunity for an ambitious
Data Engineerto join our SoC power analysis team in a dynamic and diverse role!
Arm is establishing a team to develop best-in-class silicon demonstrators based on Arm’s IP compute sub-system solutions, addressing markets such as premium mobile, infrastructure and automotive. Arm’s ambition is to demonstrate efficient performance by architecting, designing, implementing, and fabricating pioneering silicon chips using the latest technologies.
We're looking for someone who has a real passion for engineering metrics and improving the engineering team’s data insights. You’ll need great problem solving skills to get the data out of our systems as well as design skills to bring together new metrics and data visualisations. Some Machine Learning understanding as well as solid statistical knowledge, including correlation theory will be vital.
Responsibilities
A successful candidate will be flexible, with a variety of data collection, management and analytics skills. This is a unique role to develop a data analytics system for power analysis data of Arm IPs and SoCs.
You will be responsible for continually improving and maintaining the systems which collect the right data, clean and store that data, as well as analysing and communicating the insights we learn about our SoC designs.
Working with growing team you will the opportunity to extend the breadth and depth of their knowledge in the following areas
- Define, develop, tailor and deliver metrics solutions.
- Investigate, assess and implement new data engineer methodologies.
- Collect and pre-aggregate data via Python scripting.
- Visualise the data in a way to provide an intuitive experience for the viewer to gain the insights available.
- Conduct structured training for the engineering team on new capabilities and tools.
- Collaborate with multiple engineering teams to improve the data insights for engineers and managers.
- Ability to foster and support the use of metrics across the organisation.
Required Skills and Experience
We are looking for a data engineers that can bring experience and knowledge of the field to our new team.
- A solid understanding of Data Engineering and Data Science and the surrounding architecture..
- A demonstrable skill using a visualisation tool (such as Grafana, Tableau)
- A high level of proficiency in a programming language such as Python or Java and a willingness and capability to learn more.
- Ability to integrate and automate processes in a linux based system.
- Expericence working with distributed compute clusters, storage systems and cloud infrastructure.
- In depth understanding of version control systems, preferably Git.
- University degree or equivalent in Computer Science or Engineering, although other fields will also be considered.
“Nice To Have” Skills and Experience
- Database architecture and ability to store and aggregate data in SQL and No SQL databases
- Understanding of the Software Delivery Lifecycle
- Agile working methods
- Statistical analysis and correlation theory
- Amazon Web Services
- Jenkins Automation
!
Accommodations at Arm
At Arm, we want our people to
Do Great Things. If you need support or an accommodation to
Be Your Brilliant Self during the recruitment process, please email
[email protected] . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation 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.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of any characteristic.
Hybrid Working at Arm
Arm’s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, 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.
