Job Description:
We are a dedicated engineering team working to ensure that Arm delivers performant and functional ML software and hardware solutions and enables our partners to build competitive products. Using detailed analysis and rigorous characterisation, we identify, distill and explain data to Arm engineering, marketing, and external partners.
The team covers a wide range of software and hardware levels, application domains, workloads and types of analysis to get a full and accurate picture of ML performance capabilities, limitations and improvement opportunities.
We are growing, and we are offering several opportunities for this team.
Responsibilities:
As an ML System Analysis engineer you will develop test infrastructure for our fully automated test flow, including functional and performance testing, as well as visualisation and report generation of the results. Through teamwork, you will explore, analyse and influence the direction of Machine Learning performance on future Arm IP and systems. Analyzing Machine Learning use-cases and workloads to make Machine Learning run optimally on Arm technology.
We collaborate closely with other specialists across Arm, including software, IP, and Systems teams to understand, explore and challenge the limits of performance capabilities.
We use advanced pre-silicon platforms of next-generation systems, to understand new use-cases and significant workloads to ensure Arm technology delivers excellent ML performance and quality.
Required Skills and Experience :
- A bachelor or master degree in engineering or equivalent. Documented programming courses. Good python knowledge is essential.
- You have a passion for analysis and improvements.
- A high level of pro-activity, initiative and problem solving skills. as well as willingness to take on varied technical challenges.
- You have strong communication skills, inter-cultural awareness and you embrace diversity.
“Nice To Have” Skills and Experience :
If you know your way around pre-silicon platforms, building test infrastructure, low level debugging, or some familiarity with data analysis that would be great too!
In Return:
At Arm, you will enjoy working in a highly stimulating collaborative environment. Our team works closely with other software, hardware and system teams across the company.
You will have a chance to share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will really make a difference.
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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 accommodations@arm.com. 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.
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
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 race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.