Physical Implementation Engineer– Machine Learning

Job Description:

Are you passionate about improving hardware efficiency and helping Arm and its partners to build outstanding products? This role offers a great chance to enter Machine Learning and Artificial Intelligence. These are crucial technologies shaping the future of computing. By working with sophisticated Arm IP, you will help build technology that supports the next wave of mobile apps, portable devices, home automation, smart cities, and autonomous vehicles.

Responsibilities:

Within our growing and versatile team, you’ll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Collaborating with experts across global build centers, you’ll drive impactful projects and help deliver Arm’s next-generation IP using the most sophisticated tools and methodologies. Meeting Area, Frequency, and Power requirements with a reasonable runtime is one of most important activities we encounter.

As a hardware Physical Implementation Engineer, you will contribute significantly by:

• Identify critical bottlenecks across IP development, performing accurate trade-off between the various PPA metrics of the designs (frequency, power, area).
• Analyzing and optimizing power for our next generation IP, using innovative technologies, methodologies and tools.
• Providing high-quality timing, power and area analysis and recommendations to design teams, with opportunities to take increasing ownership of PPA optimization and technical direction depending on experience.
• Supporting our partners to achieve the best PPA results.
• Liaise with other implementation groups to improve implementation flow alignment across the company.
• Working with the latest technology nodes and EDA Tool Suite offerings from Synopsys, Cadence and Mentor.

Essential Qualifications and Expertise:

• A university degree or equivalent experience in Electrical Engineering or a similar subject.
• Knowledge of digital hardware and some hardware description language (VHDL, Verilog and SystemVerilog).
• Knowledge of Physical Implementation flow from RTL through Synthesis, Place & Route, LEC and STA.
• In depth understanding and hands-on experience in balancing trade-offs for PPA.
• Ability to plan/make estimates and timeline for physical implementation related activities.
• A high level of pro-activity, initiative and problem solving skills.

Preferred Skills and Experience:

• Understanding of low power build features and techniques, including clock and power gating, voltage/frequency scaling, memory/logic retention.
• Experience in scripting flows using combination of Python, TCL, Bash and MAKE.
• Experience in RTL simulation and verification.
• Excellent written and verbal communication skills.
• Knowledge of machine learning / AI fundamentals.
• Knowledge/Interest in building AI agents for a physical implementation workflow.

In Return:

At Arm, you will join a world-class team committed to pushing boundaries and reaching ambitious goals. We provide a collaborative and inclusive environment where your contributions are appreciated and acknowledged. You will have access to outstanding professional development opportunities and the chance to work on technology that builds the next era of computing!

#li-cm1

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.