Machine Learning - Software Project Manager

Job ID 2024-11721 Date posted 13/09/2024 Location Cambridge, United Kingdom Category Machine Learning

Job Overview

Join the Central Engineering Machine Learning team as a Project Manager where you will lead delivery of software projects that help our partners’ build energy efficient Arm powered products. We work with new technology, developing software which runs on many millions of Arm devices across different use-cases. This is an amazing opportunity to work with outstanding engineering teams in a fast-paced high-tech environment, and be part of a capable, diverse, supportive and inclusive team.

To be considered for this role, you will have a solid track record in software delivery management and experience in leading software projects using iterative / agile development methods. This could be in project management, but also as a Scrum Master, Product Owner, or Release Manager. Excellent interpersonal skills are a requirement, as is displaying confident leadership and a dedication to engage the team and drive your projects through to success.

Responsibilities

You will

• Own and drive planning, scheduling, tracking, monitoring and reporting for your projects.
• Motivate and drive teams to deliver to commitments.
• Ensure project governance, and proactively drive project risks, change and dependencies to conclusion.
• Have strong organisational skills, a can-do approach and be a collaborative member of the team.
• Work closely with adjacent functional groups such as Engineering, Product Management, Legal and Operations.
• Intentionally engage to develop and improve our processes and practices.
  
  

Required Skills And Experience

• Leading project delivery, preferably software projects in an Agile or iterative environment.
• Strong communication and networking skills to be able to influence and collaborate with engineering teams, peers, senior management, and Arm partners.
• A positive, can-do behaviour which is adaptive to change, resilient and eager to accept new challenges within a fast-paced high-tech environment.
• Experience working with geographically distributed engineering teams.
• Proficient in the application of standard Microsoft Office tools.
  
  

“Nice To Have” Skills And Experience

• Familiarity with the Software Development Lifecycle, and of Project and Product Lifecycles.
• Exposure to Open-Source Software
• Awareness of Machine Learning concepts
• Usage of supporting tools commonly used in Arm project management e.g., Jira, Confluence, MS Project.
  
  

In Return

You will have the opportunity to learn about the latest Arm architecture features, working closely with highly skilled engineering teams on ground-breaking technology. You will be empowered to continually identify and roll out improvements to our ways of working; while being supported by a diverse team of project and program managers.

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.