Staff Software Engineer & Line Manager – Machine Learning (C++ & Vulkan)
ARM · Cambridge, United Kingdom ·
- Work mode
- Hybrid
- Seniority
- Staff
- Category
- ML ai
ARM · Cambridge, United Kingdom ·
CamWebDir · United Kingdom
CamWebDir · United Kingdom
Nexthink · Lausanne, Switzerland
6sense · Bengaluru, Karnataka, India
Would you like to combine hands-on software engineering with the opportunity to develop and support other engineers?
We’re looking for a Staff Software Engineer and Line Manager to join Arm’s Central Engineering Machine Learning Group. This is an opportunity to contribute to the ML SDK for Vulkan, an open-source project helping developers deploy machine learning workloads through Vulkan across a wide range of platforms and devices.
The role combines technical contribution and people leadership. Alongside designing, developing and improving software, you’ll support engineers as they develop their skills, take greater ownership and progress in their careers.
Our work spans machine learning, graphics and compute APIs, compilers, runtime libraries, developer tooling and next-generation GPU and NPU hardware. We collaborate across these areas to solve engineering challenges and improve how machine learning runs on Arm technology.
We have dedicated Technical Leads who own technical direction. The Line Manager works in partnership with them, bringing together people development, engineering capacity and successful delivery.
As part of the team, you will:
It’s a great opportunity to stay close to the technology while helping other engineers grow!
We’re looking for a software engineer with strong modern C++ experience and scripting skills, ideally using Python. Experience designing, developing, debugging, testing and maintaining complex software systems is important.
Experience leading, mentoring, coaching or managing software engineers is also important, alongside an interest in developing people and building effective teams. This includes providing constructive feedback and supporting engineers at different stages of their careers.
The role requires experience coordinating engineering work across competing priorities and collaborating with technical leaders and architects. Knowledge of software development practices including code review, CI, testing, release processes and Agile development will also be valuable.
Experience across environments such as Linux, Android, emulators or software models is useful, together with the ability to learn new technologies and apply existing knowledge to new engineering challenges.
Clear written and spoken communication skills will support collaboration across teams, disciplines and locations.
Experience across every area below is not expected. Relevant experience could include:
Not every successful candidate will have experience in all of these areas. We encourage applications from people whose experience aligns with the core requirements and who are interested in developing their knowledge further.
Please note that no relocation package is available for this role.
#li-cm1
At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm:
At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [email protected] so we can support you.
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation 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 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.
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.
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.
General Motors · Warren, Michigan, United States of America