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.
- 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.
- Other info: Be part of a team recognised as one of the 100 Best Companies to Work For.
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 in London employer: Cadence Design Systems
Contact Detail:
Cadence Design Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work at Cadence or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills and AI knowledge. Practice common algorithms and data structures, and be ready to discuss how you've applied AI in real-world scenarios.
✨Tip Number 3
Showcase your passion for technology! During interviews, share your thoughts on emerging trends in AI and how they could impact the industry. This will demonstrate your enthusiasm and forward-thinking mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest job openings and updates directly from us.
We think you need these skills to ace Lead Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Software Engineer role. Highlight your experience with AI systems, software development, and any relevant projects that showcase your problem-solving abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working at Cadence and how you can contribute to our innovative solutions. Share specific examples of your work in AI and software development to make your application stand out.
Showcase Your Communication Skills: Since collaboration is key in our diverse environment, demonstrate your communication skills in your application. Whether it's through your CV, cover letter, or any additional materials, let us see how you effectively convey complex ideas.
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 track your application and ensure it reaches the right people!
How to prepare for a job interview at Cadence Design Systems
✨Know Your AI Algorithms
Make sure you brush up on various AI and machine learning algorithms before the interview. Cadence is looking for someone who can evaluate and select the right tools for specific problems, so be prepared to discuss your experience with different algorithms and how you've applied them in real-world scenarios.
✨Showcase Your Coding Skills
Since this role involves a lot of coding, be ready to demonstrate your proficiency in C/C++, Java, or Python. You might be asked to solve coding problems on the spot, so practice common algorithms and data structures to ensure you're sharp and ready to impress.
✨Communicate Effectively
Cadence values excellent communication skills, especially when it comes to educating other engineers about AI best practices. Prepare to explain complex concepts in simple terms and share examples of how you've successfully collaborated with diverse teams in the past.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in AI and electronic design. Being knowledgeable about emerging technologies will not only show your passion for the field but also demonstrate that you're proactive about staying ahead in a rapidly evolving industry.