Senior/Staff - Verification Engineer (AI/ML)

Key Skills

Aartificial intelligence, C Programming, C++, Design, Effective communication skills, Machine learning techniques, Python Programming

Job Description

Arm’s Machine Learning group is building the next generation of AI/ML IP that will shape the future of compute. As a Senior/Staff Verification Engineer, you’ll play a central role in verifying advanced hardware IP that powers efficient and scalable machine learning acceleration.

This role offers the chance to define cutting-edge verification strategies, develop high-performance environments, and tackle some of the toughest challenges in AI/ML. Collaboration is at the heart of the job — working with design, architecture, and software teams to deliver world-class solutions that raise the bar for performance and reliability. Excited to push the limits of what’s possible? This is the place to do it!

Responsibilities

Take the lead in shaping and executing verification plans for complex AI/ML IP at both block and subsystem levels. From building UVM-based environments to applying advanced methodologies, you’ll ensure Arm’s ML hardware achieves the highest standards of quality, efficiency, and robustness. Alongside project delivery, you’ll also contribute to smarter flows, automation, and continuous improvement.

Key focus areas include:

• Designing and implementing scalable SystemVerilog/UVM testbenches.
• Applying constrained-random, coverage-driven, and assertion-based verification methods.
• Debugging complex issues across multiple platforms with speed and precision.
• Driving closure on functional and code coverage targets.

Required Skills & Experience

• Proven success in hardware verification of complex digital IP.
• Strong knowledge of SystemVerilog and UVM.
• Expertise in coverage-driven methodology and metric-based sign-off.
• Demonstrated ability to debug complex designs using simulation platforms.
• Strong communication and collaboration skills across distributed teams.
• Experience enhancing verification methodology, automation, and regression infrastructure.

What Will Help You Stand Out

• Experience with assertion-based or formal verification.
• Familiarity with AI/ML hardware architectures.
• Modelling microarchitecture with C/C++ or Python.
• Integrating high-level models (e.g., ML frameworks or performance models) into verification flows.
• Knowledge of Arm architecture and AMBA protocols.
• Understanding of safety, security, or reliability verification practices.

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.