Experienced System Test Engineer (AI/ML)

Arm; Cambridge; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Accommodations on request during the招聘

Job summary

Arm is seeking System Test Engineers to advance neural network hardware verification and validation. You will contribute to verification strategy and own complex work packages across global design centers, delivering high-quality IP through advanced emulation environments.

You will design test automation, run cases, and collaborate with architecture, design, verification, and software teams to optimize workflows for bring-up, debugging, and system validation.

Qualifications

• Meticulous attention to detail to minimize bugs.
• Experience specifying, creating, and debugging system test environments.
• Hands-on with emulation platforms (ZeBu, Palladium, Strato).
• Familiarity with RTL languages (SystemVerilog/Verilog).
• Experience collaborating with EDA vendors to resolve tool issues.
• Ability to plan system test tasks and produce realistic estimates.

Responsibilities

• Design and build test automation and develop test cases.
• Run tests and troubleshoot simulation/emulation mismatches and failures.
• Collaborate with architecture, design, verification and software teams to optimize emulation workflows.

Skills

Test automation

SystemVerilog/Verilog

Emulation platforms

Debugging

Test environment design

Time estimation

Tools

ZeBu

Palladium

Strato

Job description

Are you passionate about Artificial Intelligence acceleration and technologies for the future of computing? We have an excellent opportunity to apply your curiosity and creativity in crafting next generation AI hardware accelerators contributing to our system testing team!

We have multiple open positions available across a range of experience levels.

The Role

We’re growing our diverse team, and you’ll contribute to the development and verification of next-generation neural network hardware! Collaborating with experts across global design centers, you’ll help deliver Arm’s next-generation IP using sophisticated tools and methodologies.

As a System Test Engineer, you will make a difference by influencing the verification strategy and methodology, taking ownership of complex work packages, and driving them to successful completion.

What You'll Do

The work involves designing and building test automation, developing and running test cases, and working with modern tools and infrastructure.

We are a distributed team crafting and deploying advanced emulation environments for pioneering Neural Accelerators. Your work will help bridge the gap between silicon development and real-world deployment, improved system validation, and reducing time-to-market.

You’ll collaborate with engineers across architecture, design, verification, and software, to optimize complex emulation workflows and use cases to support design bring-up, debug, feature validation, and system validation.

Required Skills And Experience

• Meticulous attention to detail, ensuring high-quality verification that minimizes bug escapes.
• Demonstrated experience in specifying, creating, and debugging system test environments, authoring test case, tracking results, and troubleshooting simulation/emulation mismatches and test failures.
• Hands-on experience with emulation platforms such as ZeBu, Palladium, or Strato.
• Familiarity with RTL languages such as SystemVerilog/Verilog
• Experience in collaboration with EDA vendors to introduce new capabilities, resolve tool issues, and contribute to future tool improvements.
• Skilled in planning system test tasks and producing realistic effort and time estimates.

Additional Qualities That Will Help Your Application Stand Out

• Experience with requirements definition and management.
• Familiarity with UVM-based verification environments.
• Experience with CI platforms and version control tools such as Git.
• Proficiency in scripting such as Python or Perl to automate workflows and diagnostics.
• Experience with software testing of embedded devices
• Practical knowledge of machine learning and neural networks.
• Understanding of efficiency tuning techniques and performance analysis for large-scale emulation systems.

If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual’s application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

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 [e-mail] . 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.