Software Engineer

Job ID 2023-8286 Date posted 29/10/2024 Location Cambridge, United Kingdom Category Machine Learning

We are looking for a software engineer with a strong analytical approach to join our team and help ensure the best performance and quality with most recent Arm ML software and IP. The successful engineer will be highly flexible, quick to learn and be motivated by the opportunity to understand and improve the performance of future Machine Learning and Generative AI solutions using Arm technology.

Are you our next team member?

We are a dedicated and multi-faceted engineering team working together to ensure that Arm delivers performant and functional ML software and hardware solutions and enables our partners to build highly competitive products. Using detailed analysis and characterisation, we advise and influence 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.

Job Description

As a member of the ML System Analysis team you will explore, analyse and influence the direction of performance on current and future Arm IP. You will use latest mobile devices to understand new use-cases and significant workloads to ensure Arm IP and systems deliver excellent ML and Generative AI performance and quality. We work closely with other specialists across Arm, including software, IP, and Systems teams to understand, explore and challenge the limits of performance capabilities.

Responsibilities

Build, run and analyse performance tests on a broad range of IP and ML software. Analyse and understand workloads, systems and performance expectations. Produce technical summaries for a range of audiences, based on detailed analysis and interpretation of results. Share knowledge and influence others, both within ML Group and wider across Arm.

Required Skills And Experience

You have experience working with SW development or automated testing.

• 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 tackle varied technical challenges.
  
  

You have strong communication skills; inter-cultural awareness and you embrace diversity.

"Nice To Have" Skills and Experience

• If you have some knowledge about factors which influence device performance, working with test infrastructure, hardware and software debugging, presentation skills, or some familiarity with data analysis that would be great too!
  
  

In return

In return at Arm, you will enjoy working in a highly stimulating environment. We work 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.

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

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.