At a Glance
- Tasks: Lead the development of cutting-edge verification tools using AI and Machine Learning.
- Company: Join a leading multinational semiconductor company in Edinburgh.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Collaborative culture with opportunities to work on multiple projects.
- Why this job: Be at the forefront of technology and make a real impact in the industry.
- Qualifications: Degree in Electrical/Electronic Engineering and 4+ years in microelectronics.
The predicted salary is between 60000 - 80000 £ per year.
Client: Our client, a leading Multinational Semiconductor Company, requires a Lead Digital Design Verification Engineer for a role based in Edinburgh, Scotland. You will be required onsite 4 days per week.
Role: You will be responsible for defining and supporting the adoption of cutting-edge verification tools and methodologies with a focus on AI and Machine Learning. You will have a horizontal role working with multiple projects and teams to accelerate the adoption of the latest verification best practices.
Responsibilities:
- Develop and support the adoption of generative AI tools to create and update UVM and Formal verification environments.
- Develop methodology guidance and end-to-end flows to ensure AI tools are used in a consistent, efficient, and predictable way.
- Develop and roll out solutions that reduce verification debug time.
- Automate documentation checking to improve quality and consistency.
- Build tools and processes to support verification planning.
- Optimise UVM regressions through improved automation and machine learning.
- Maintain and develop best practices for Functional Safety Verification, Gate Level Simulation, and Low Power Verification.
- Maintain and improve design review checklists and quality documentation.
Education: Degree in Electrical/Electronic Engineering, Microelectronics, or a related discipline.
Experience: 4+ years experience in the microelectronics/EDA industry. Proficiency in System Verilog and assertions. Hands-on experience with Metric Driven Verification (MDV). Strong knowledge of constrained-random verification techniques (e.g. UVM). Excellent spoken and written English. Self-motivated, with strong planning, interpersonal, and communication skills.
Additional Skills/Preferences:
- Formal verification experience and related applications.
- Proficiency with scripting languages (e.g. Python).
- Knowledge of AI agent development (tools, concepts, and infrastructure).
- Methodology development and change management experience.
- Familiarity with front-end design tools (e.g. LINT, CDC analysis).
- Exposure to quality processes and standards (e.g. ISO 9001, ISO 26262).
Contact: For further information please contact Míchéal at Software Placements Ltd on 00353 1 5254642 or email.
Lead Digital Design Verification Engineer in Broughton employer: Software Placements
Our client, a leading multinational semiconductor company based in Edinburgh, offers an exceptional work environment that fosters innovation and collaboration. With a strong focus on cutting-edge technologies like AI and Machine Learning, employees are encouraged to grow their skills through hands-on experience and continuous learning opportunities. The vibrant culture and commitment to employee well-being make this an ideal place for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Digital Design Verification Engineer in Broughton
✨Tip Number 1
Network like a pro! Reach out to folks in the semiconductor industry, especially those who work with AI and verification tools. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to digital design verification and AI tools. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of UVM and formal verification methodologies. Be ready to discuss how you've implemented these in past roles and how you can contribute to their team.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills, and applying directly can sometimes give you a better chance at landing that dream job.
We think you need these skills to ace Lead Digital Design Verification Engineer in Broughton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Digital Design Verification Engineer role. Highlight your experience with AI, Machine Learning, and verification methodologies. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a bit of personality in applications.
Showcase Relevant Projects:If you've worked on projects that involve UVM, Formal verification, or AI tools, make sure to mention them! We’re keen to see real examples of your work and how you’ve contributed to successful outcomes.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Software Placements
✨Know Your Tools Inside Out
Make sure you’re well-versed in the latest verification tools and methodologies, especially those related to AI and Machine Learning. Brush up on your knowledge of System Verilog, UVM, and any generative AI tools you might be expected to use. Being able to discuss these confidently will show that you're not just familiar with them, but that you can also contribute to their adoption.
✨Showcase Your Experience
Prepare to discuss your past experiences in the microelectronics/EDA industry, particularly focusing on how you've implemented verification best practices. Be ready to share specific examples of how you’ve reduced verification debug time or improved automation processes. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since this role requires strong interpersonal and communication skills, practice articulating your thoughts clearly and concisely. You might be asked to explain complex concepts, so being able to break them down into understandable terms will be crucial. Don’t forget to ask questions too; it shows your interest and engagement!
✨Prepare for Methodology Discussions
Given the emphasis on methodology development and change management, be prepared to discuss your approach to developing and rolling out solutions. Think about how you would ensure consistency and efficiency in using AI tools across different projects. This will highlight your strategic thinking and ability to work horizontally across teams.
