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Location
Hybrid (Ra'anana, Israel)
Seniority
Junior

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 14, 2026. Arm Holdings scores A on the Alion truth index.

Overview
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Arm Holdings is a British semiconductor and software design company headquartered in Cambridge, England. Rather than manufacturing physical chips directly, Arm designs energy-efficient central processing unit (CPU) architectures and intellectual property (IP), licensing them to major technology partners such as Apple, Qualcomm, Samsung, and Nvidia.

Job Overview:

We have a fantastic opportunity to move into Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on innovative Arm IP, crafting technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more!

Arm is entering a new growth phase to develop innovative technologies and products for existing and new markets. To do this we need hardworking and motivated people to join our team. Working with the world’s best companies as they build sector-leading products from our designs, you’ll share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI.

What you could be doing as an ML Hardware Modelling Engineer:

The team in Raanana is responsible for machine learning hardware and software IP.

Our next generation NPU development starts in the HW modelling platform and as a graduate HW Modelling engineer, you will develop/design/architect new features and evaluate their performance. You will work closely with the ML HW design and verification teams, contributing to the design, specification and verification of the product. You will also assist the compiler team to ensure the HW is run at optimal performance and support the model as an external deliverable in customer engagements.

As a Graduate Engineer, you are accountable for delivery of well-tested, high quality code to ML HW modelling projects, as well as cooperating with the HW design and verification team to debug issues and support development.

We are looking for individuals who:

  • Hold (or are on track to hold) a degree by the programme start date. This can be Bachelors or Master’s degree or equivalent experience in Machine learning, Electrical Engineering, Software Engineering, Computer Science, or similar technical field.
  • Strong analytical skills, eagerness to find innovative solutions to complex problems.
  • Comfortable working in a fast paced and dynamic environment
  • Enjoy working in an environment where you collaborate closely in a diverse team of colleagues, striving together to reach common targets.
  • Genuine interest and strong skills in programming (preferably C, C++).

Qualities that will help your application stand out:

  • Source control skills (Git, Gerrit, Repo)
  • Understanding of SystemC and HLS flows
  • Understanding of HW design and/or modelling
  • Knowledge of agile SW development methods
  • Knowledge of Machine Learning applications and frameworks
  • Understanding of signal processing and control system

Additional Information:

We encourage early applications as we review them on a first come/first served basis. Please apply as soon as you feel ready.

Please provide an academic transcript as part of your application.

In Return:

In addition to a competitive salary and comprehensive rewards package, you'll also receive the support, autonomy and opportunity to excel in your career.

With a mid-year, and year-end review you'll have two windows each year to progress recognizing the pace at which you could grow. Attend our 'Grad-teach-Grads' workshops, guest speaker series and various social events to expand your knowledge. Want to take this a step further? Join our Graduate Committee and home in on your planning, networking and co-ordination skills.

You'll also be invited to our exclusive Global Graduate Conference (GGC)! A yearly occurrence exclusive for Graduates allowing you to hear from executive members, inspiring speakers and make connections for life.

With many of our leaders and technical specialists having originally joined as a Graduate, will you be next?

#LI-NB1

Our 10x Mindset

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: https://careers.arm.com/10x-mindset

Use of AI in Your Application

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.

Recruitment Adjustments and Accommodations

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.

Hybrid Working

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

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.

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