Graduate ML Hardware Power and Performance Engineer
Primary stack
Nice to have's
Job description
About the Position
We are seeking ambitious graduate engineers passionate about understanding and improving hardware performance and power efficiency. This role offers an outstanding opportunity to work with pioneering Arm IP technology. You will develop technology that drives the next generation of mobile devices, consumer products, and intelligent systems. Start your career working in hardware development and gain experience in Machine Learning and Artificial Intelligence-fields redefining the future of computing.
Responsibilities
As a Graduate Hardware Power and Performance Engineer, your role will include:
- Collaborate with a growing, highly skilled team focusing on ML and Neural Network hardware.
- Work across Arm's international centers to build and analyze next-generation IP using the latest methodologies and technology.
- Learn to analyze and optimize the effectiveness and power consumption of complex hardware builds.
- Characterize workloads, investigate performance bottlenecks, understand power consumption, and examine how architectural and build choices impact power, performance, and area.
- Develop scripts and tools to automate analysis.
- Partner with engineers in design, verification, and implementation to build our hardware.
- Work on and shape solutions making use of your knowledge while also learning and further developing your skills.
Requirements
- Hold (or are on track to hold) a University degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field by the programme start date.
- Curiosity about programming and scripting, with a desire to solve engineering problems.
- Analytical skills to understand complex systems.
- Willingness to learn new technologies, tools, and methodologies.
- Good written and verbal communication skills.
Nice to Have
- Understanding of digital hardware and hardware description languages, for example, SystemVerilog or VHDL.
- Basic understanding of computer architecture.
- Experience working with programming or scripting languages such as Python.
- Understanding of low-power build concepts.
- Knowledge of Physical Implementation, synthesis, Place & Route, or static timing analysis.
- Knowledge of Machine Learning or AI fundamentals.
- Knowledge/Interest in building AI workflow agents.
We Offer
You’ll receive a starting salary of SEK 545,000 (Bachelor level) or SEK 555,000 (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, recognizing 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.
About the Company
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, prioritize 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
Additional Information
We encourage early applications as we review them on a first come/first served basis. Please submit an academic transcript along with the application.
Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it.
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