Graduate Engineer - Machine Learning Hardware Design

ARM LIMITED, Newtown, Cambridge

Graduate Engineer - Machine Learning Hardware Design

£42500-£57500

ARM LIMITED, Newtown, Cambridge

  • Full time
  • Permanent
  • Onsite working

Posted 1 day ago, 5 Jun | Get your application in today.

Closing date: Closing date not specified

Job ref: 5a81b03b6e9346febd90569459bbdf48

Location ref: Newtown, Cambridge

Full Job Description

As a hardware design engineer, you'll join a growing, highly skilled, and supportive team developing Machine Learning accelerators. Collaborating with colleagues across our international design centres, you'll contribute to the design and verification of Arm's next-generation IP using the latest tools and methodologies. Above all, you'll bring enthusiasm to learn and curiosity to explore this exciting technology. You'll be encouraged to share your knowledge and ideas with other innovators across Arm, reflecting both our core beliefs and collaborative culture.

We are looking for graduate engineers passionate about a career in digital hardware design. Working on innovative Arm IP, you'll help develop technology that powers the next generation of mobile apps, smart devices, home automation, connected cities, self-driving cars, and much more!,

  • Currently pursuing or have completed a university degree in Electrical Engineering, Computer Science, or a related field.
  • Strong problem-solving and programming skills and the ability to understand sophisticated systems.
  • Excellent written and verbal communication skills.
  • Qualities that will help your application stand out:
  • Understanding of digital hardware and familiarity with hardware description and scripting languages (VHDL, Verilog, SystemVerilog, python)
  • Basic knowledge of computer architecture.

    You'll receive a starting salary of £47,000 (Bachelor level) or £48,000 (Master level), alongside a comprehensive rewards package. As you develop in role, you'll have clear opportunities to progress within the salary range at Arm. With mid-year and year-end reviews, you'll have two formal progression windows each year, recognising your growth.
  • You can also attend our "Grad-teach-Grads" workshops, guest speaker series, and social events to expand your knowledge. If you'd like to get more involved, you can join the Graduate Committee to further develop your planning, networking, and coordination skills. You'll be invited to our Global Graduate Conference (GGC) - an annual event where graduates hear from executive leaders, guest speakers, and build lasting connections. With many of our leaders and technical specialists having originally joined as a Graduate, will you be next? [Join Arm as a Graduate Hardware Engineer, developing innovative digital IP that powers next-generation mobile apps, smart devices, home automation, connected cities, and autonomous vehicles.] Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation 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 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 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. Salary Range: £42,500 - £57,500 per year

Direct job link

https://www.jobs24.co.uk/job/graduate-engineer-machine-learning-hardware-design-126939424