Degree in Computer Engineering
Degree in Electrical Engineering
Degree in Information Architecture
BERT, Data Analytics, Effective communication skills, Generative AI, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Product Management, PyTorch, Software Development, TensorFlow
This role is part of the rapidly growing Arm Infrastructure Line of Business where we enable deployment of Arm Neoverse cores in Cloud, Edge, 5G and Networking segments! To enable successful adoption, we need to understand how customers in these segments deploy Machine-Learning and identify what workloads and software are needed by the development community to run their applications on Arm platforms. ML Solutions Architect will define requirements and strategy to drive growth and success of Arm for key ML applications.
Responsibilities:
Architect ML solutions that bring together Arm’s products, technologies, software, and ecosystem and provide best-in-class performance, power efficiency and scalability.
Work with multi-functional teams including hardware engineers, software developers, performance engineers, and researchers to align ML strategies with system design goals.
Engage with end customers such as Hyperscalers, OEMs, ML system and software companies to understand ML use-cases, requirements, and opportunities for Arm.
Keep pace with the latest advancements in ML space, drive competitive analysis and find innovative solutions to prepare Arm for success. Support Product Managers on defining ML requirements for software and next-gen hardware.
Promote Arm ML solutions with Arm partners and wider industry, demonstrating both maturity of vision and technical leadership. Represent Arm’s interests at key ML industry forums and technology working groups with goal of enabling widespread adoption of Arm solutions.
Required Skills and Experience :
“Nice To Have” Skills and Experience :
In Return:
Arm is poised to lead the next generation of innovation, adoption and growth in the Machine Learning space ! This is an outstanding opportunity to influence the direction that the industry is taking and learn emerging trends in this space.
LI-LB1
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 hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. Within that framework, we empower groups and teams to determine their own particular hybrid working pattern, 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 a British semiconductor and software design company based in Cambridge, England. Its primary business is in the design of ARM processors (CPUs). It also designs other chips, provides software development tools under the DS-5, RealView and Keil brands, and provides systems and platforms, system-on-a-chip (SoC) infrastructure and software. As a holding company, it also holds shares of other companies. Since 2016, it has been owned by Japanes
Garching bei M?nchen, Germany
2-4 year
Honmachi, Fuchu, Tokyo, Japan
2-4 year
San Diego, CA, USA
2-4 year
Woodland Hills, Los Angeles, CA, USA
2-4 year
Northbrook, IL, USA
2-4 year
Princeton, NJ, USA
2-4 year
Boston, MA, USA
2-4 year
Boston, MA, USA
2-4 year
Salt Lake City, UT, USA
6-8 year
Salt Lake City, UT, USA
2-4 year
Garching bei M?nchen, Germany
2-4 year
Waltham, MA, USA
2-4 year
Boston, MA, USA
2-4 year
Boston, MA, USA
2-4 year
Lexington, MA, USA
2-4 year
Northridge, Los Angeles, CA, USA
2-4 year
Northbrook, IL, USA
2-4 year
Massachusetts, USA
2-4 year
Garching bei M?nchen, Germany
2-4 year
Bloomington, IL, USA
0-2 year
Champaign, IL, USA
0-2 year
Gothenburg, Sweden
0-2 year
Warsaw, Poland
0-2 year
Toronto, ON, Canada
4-6 year
Waltham, MA, USA
4-6 year
Macclesfield, UK
2-4 year
Gaithersburg, MD, USA
2-4 year
Waltham, MA, USA
2-4 year
Barcelona, Catalonia, Spain
4-6 year
Barcelona, Catalonia, Spain
4-6 year
Barcelona, Catalonia, Spain
4-6 year
Waltham, MA, USA
2-4 year
Gaithersburg, MD, USA
2-4 year
Plano, TX, USA
4-6 year
Richmond, VA, USA
4-6 year
Kennesaw, GA, USA
4-6 year
Woodland Hills, Los Angeles, CA, USA
10-12 year
San Rafael, CA, USA
4-6 year
Toronto, ON, Canada
4-6 year
Salt Lake City, UT, USA
4-6 year
Salt Lake City, UT, USA
4-6 year
Cambridge, UK
0-2 year
Toronto, ON, Canada
6-8 year
Toronto, ON, Canada
4-6 year
London, UK
4-6 year
Salt Lake City, UT, USA
4-6 year
Salt Lake City, UT, USA
6-8 year
Salt Lake City, UT, USA
8-10 year
Toronto, ON, Canada
8-10 year
Salt Lake City, UT, USA
6-8 year
London, UK
6-8 year
Salt Lake City, UT, USA
6-8 year
Toronto, ON, Canada
6-8 year