Graduate ML Hardware Power and Performance Engineer

Arm; Lunds kommun; Hybrid; SEK 545,000 - 555,000; Full time

Job summary

Arm Limited is seeking a Graduate Hardware Power and Performance Engineer to analyze and optimize power, performance, and area in next-generation Arm IP. The role involves collaboration across international teams and exposure to ML/AI-driven hardware development for mobile devices and intelligent systems.

No prior professional experience is required as learning is built through hands-on collaboration with experienced engineers and a comprehensive onboarding program.

Qualifications

• Hold a university degree in Electrical/Computer Engineering, Computer Engineering, Computer Science, or related field.
• 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.

Responsibilities

• Collaborate with ML and Neural Network hardware teams to analyze performance.
• Analyze and optimize power consumption of complex hardware builds.
• Develop scripts and tools to automate analysis.

Skills

Curiosity

Analytical skills

Willingness to learn

Education

University degree in Electrical/Computer Engineering or Computer Science

Tools

Python

Job description

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.

What you could be doing as a Graduate?

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.

Above all, you should be curious about how hardware works and eager to learn. No prior professional experience is necessary as those are built by collaborating with experienced engineers.

We are looking for individuals who:

• 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.

Qualities that will help your application stand out:

• 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.

Additional Information:

We encourage early applications as we review them on a first come/first served basis.

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.

In Return:

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, 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?

|Analyze hardware performance, optimize power efficiency, investigate bottlenecks, and collaborate with engineers to shape next-generation Arm technology for AI, mobile devices, and intelligent systems.|

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. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. We provide accommodations during the recruitment process. We treat all requests with confidentiality and only disclose necessary information. Examples of support include breaks between interviews, having documents read aloud, or office accessibility.

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.

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.