21 Oct
arm
Cambridge
Job Overview: We are looking for experienced engineers with a hands-on machine learning background, and good understanding of graphics and gaming, to develop new neural graphics algorithms. In Arms Central Technology group we are building trail-blazing future technology which will keep Arm-based products redefining the state-of-the-art. We are looking for experienced ML Engineers who will build a range of innovative algorithm solutions, aimed to guide architecture definition of the next-gen Arm compute platforms.
You will be working in a team of computer vision and machine learning engineers to prototype algorithms for graphics (gaming) that pushes the state of the art. Responsibilities:
- Inventing and implementing state of the art machine learning and graphics algorithms for gaming use cases
- Designing such algorithms to work reliably and efficiently on mobile devices
- Collaborating with other teams across software and hardware to ensure the full pipeline runs efficiently and utilises Arm hardware effectively
- Presenting the algorithms and architectures you have developed to wider technology and engineering teams within Arm and at external eventsconferencesRequired Skills and Experience:
- Strong experience working on high-performance deep learning models for image processing and computer graphics
- Excellent coding skills in python and strong experience in popular ML framework (e.g. TensorFlow or PyTorch)
- Excellent problem solving and analytical thinking skills
- Excellent communication and collaboration skills
- Passion for deep learning, graphics, and image processing“Nice
To Have” Skills and Experience:
- Technical leadership experience (required for Staff level)
- Understanding of the graphics rendering pipeline (expected for Staff level) and familiarity with graphics on mobile GPUs
- C++ experience and familiarity with Shading language
- Experience in 3D gaming, lighting and rendering is a plus
- Imagevideo quality evaluation backgroundIn Return:On top of the already compelling Life at Arm, we offer strong team culture, learning opportunities, regular career conversations, emphasis on diversity, equity and inclusion and a continuous improvement mentality.
#LI-TE! 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 **************@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 groupsteams 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.
▶️ Machine Learning and Graphics Algorithm Specialist (1 year relevant experience required)
🖊️ arm
📍 Cambridge