At a Glance
- Tasks: Lead the development of AI applications in digital verification and solve real-world engineering challenges.
- Company: Join Cadence, a leader in electronic design with a culture of innovation.
- Benefits: Enjoy hybrid work, professional growth, and a diverse, inclusive workplace.
- Other info: Be part of a team recognised as one of the 100 Best Companies to Work For.
- Why this job: Make an impact with cutting-edge AI technology and collaborate with industry experts.
- Qualifications: Experience in software development and a strong understanding of AI algorithms required.
The predicted salary is between 36000 - 60000 £ per year.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more than 30 years of computational software expertise. The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers are the world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health.
Job Overview:
We are seeking a software engineer to join our team responsible for developing and maintaining Agentic AI applications in the digital verification domain. This role offers an exciting opportunity to work at the intersection of computational software, hardware verification and artificial intelligence, helping to shape the future of Cadence's innovative solutions.
Job Responsibilities:
- Design and development of AI systems and AI features within Cadence’s suite of verification tools.
- Identify and evaluate opportunities to apply AI to solve very hard real-world engineering problems.
- Effectively communicate and educate other engineers in the theory and best practices of the application of AI.
- Evaluate and select AI algorithms and tools appropriate for specific problems.
- Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results.
- Reporting and documenting on AI processes and results.
- Participate in code reviews, testing, and debugging to ensure high-quality, reliable software.
- Stay current with industry trends and emerging technologies in AI.
Job Qualifications:
- BSc in Computer Science, Electrical Engineering or related field plus 4+ years of C/C++, Java or Python software development experience, or M.Sc plus 2+ years of experience in implementing ML models and applications, or PhD in a relevant area.
- Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques.
- Extensive experience in building AI based applications.
- Strong understanding of Software Development best practices and in OO Design principles and patterns.
- Very strong competency in mathematics, statistics, data structures and algorithms.
- A penchant for finding outstanding solutions to very difficult problems.
- Excellent communication skills and collaboration capabilities.
- Ability to work in a diverse/multi-cultural environment.
Additional Skills/Preferences:
- Experience with Large Language Models.
- Familiarity with prompt engineering techniques.
- Experience or understanding of electronic design.
- Experience developing in a Linux environment.
- Experience with version control tools such as Git.
- Experience dealing with customers & external stakeholders.
- Strong presentation skills.
Work Arrangements:
- Hybrid working model with 4 in-office days expected.
- Opportunities for collaboration with global teams.
- Work with cutting-edge AI technology that impacts the development of next-generation products.
- Collaborate with industry experts and thought leaders in computational software.
- Professional development opportunities and clear career progression paths.
- Inclusive workplace culture that values diversity of thought and innovation.
Cadence is committed to equal employment opportunity and employment equity throughout all levels of the organization. We strive to attract a qualified and diverse candidate pool and encourage diversity and inclusion in the workplace.
Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences. Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence. Cadence is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.
Lead Software Engineer employer: Cadence Design Systems
Cadence Design Systems is an exceptional employer located in the vibrant city of Edinburgh, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technology and the chance to work closely with strategic customers, making a meaningful impact in the field of electronic design automation. With a commitment to employee well-being and professional development, Cadence stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Cadence on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on AI and software development concepts. We recommend practising common technical questions and coding challenges to show off your skills and confidence.
✨Tip Number 3
Show your passion for innovation! During interviews, share examples of how you've tackled tough engineering problems with creative solutions. This will highlight your fit for Cadence's culture of leadership and innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Cadence team.
We think you need these skills to ace Lead Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Software Engineer role. Highlight your experience with AI, C/C++, Java, or Python, and any relevant projects that showcase your skills. We want to see how you can make an impact at Cadence!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at Cadence. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve tough problems. Whether it's through specific projects or challenges you've faced, we want to know how you tackle real-world engineering issues.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s get started on this journey together!
How to prepare for a job interview at Cadence Design Systems
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI algorithms and techniques. Cadence is looking for someone who can identify and evaluate opportunities to apply AI in real-world engineering problems, so be ready to discuss your experience with ML models and applications.
✨Show Off Your Coding Skills
Since the role requires strong programming skills in C/C++, Java, or Python, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Communicate Clearly
Excellent communication skills are a must! Be ready to explain complex concepts in a way that’s easy to understand. You may need to educate other engineers about AI best practices, so practice articulating your thoughts clearly and confidently.
✨Stay Current with Trends
Cadence values innovation, so show that you’re keeping up with industry trends and emerging technologies in AI. Bring examples of recent advancements or tools you’ve explored, and be ready to discuss how they could apply to the role.