This job is now closed
Job Description
- Req#: 2024-12205
- Developing performance tests on a variety of ML workloads including LLMs, CNNs, RNNs, Diffusion models, traditional ML, etc.
- Delivering workload performance analysis reports in written and presentation form
- Contributing Arm performance improvements to ML open-source projects
- Developing proof of concepts that are used for performance analysis, demos, How-Tos, and educating the engineering community on Arm technology
- Experience with languages like Python, C/C++, etc.
- Creative debug and problem solving
- Experience in ML: Performance analysis and optimization, building models, fine-tuning, RAG, and model training
- Experience with PyTorch/TensorFlow and Hugging Face Libraries
- Good communicator (written and presentations)
This role is in the Arm's fast-growing Infrastructure Line of Business with the focus on ML performance analysis, optimization, and software enablement on Arm architecture. Our Neoverse cores are at the forefront of a technological revolution across Cloud, Edge, 5G, and Networking sectors. Therefore, the Software Enablement team seeks a highly motivated Software Engineer student to improve the Arm Machine Learning software ecosystem and help this growth.
What you could be doing as a ML Software Engineer Intern?
We are looking for individuals who:
Are currently enrolled and studying towards a Masters or PhD degree in Electronics Engineering, Computer Engineering, or Computer Science (other degrees may also be considered based on experience). Candidates with alternative degrees will also be considered if they have relevant experience.Qualities that will help your application stand out:
Additional Information:
We encourage early applications as we review them on a first come/first served basis.Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement.
If you are graduating in August 2025 or before, you will not be eligible for an Intern role but you will be eligible for our graduate roles. Our graduate roles will be advertised on the Arm Early Careers website Graduate Program at Arm.
We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.
In Return:
Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrowIn addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.
#li-kf1
In addition to a competitive salary and rewards package, our on-the-job learning and mentoring/buddy schemes provide unparalleled learning and networking opportunities from the best in the industry.
This is a non-exempt hourly role which will be paid at an hourly rate based on the number of hours worked. Pay rates vary by location and educational level.
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 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.
About the company
Arm Ltd. is a British semiconductor and software design company based in Cambridge, England.
Notice
Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at accessibility@talentify.io or 407-000-0000.
Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility.
An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: www.talentify.io/bias-audit-report. NYC applicants may request an alternative process or accommodation at aedt@talentify.io or 407-000-0000.