At a Glance
- Tasks: Develop and maintain AI applications in digital verification, solving real-world engineering challenges.
- Company: Cadence is a leader in electronic design with over 30 years of innovation in computational software.
- Benefits: Enjoy a hybrid working model, professional development opportunities, and a diverse workplace culture.
- Why this job: Join a team shaping the future of technology with cutting-edge AI solutions and industry experts.
- Qualifications: BSc/MSc/PhD in relevant fields with experience in C/C++, Java, or Python and AI applications.
- Other info: Cadence values diversity and inclusion, encouraging a qualified candidate pool from all backgrounds.
The predicted salary is between 48000 - 72000 £ 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.
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 with version control tools such as Git.
- Experience dealing with customers & external stakeholders.
Work Arrangements:
Hybrid working model with 4 in-office days expected. Opportunities for collaboration with global teams.
Why Join Cadence?
- 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. We’re doing work that matters. Help us solve what others can’t.
Lead Software Engineer 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
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to electronic design. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with AI applications by preparing specific examples of projects you've worked on. Be ready to discuss the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 3
Network with current or former employees of Cadence through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your understanding of software development best practices and OO design principles. Being able to articulate these concepts clearly will show that you are not only technically proficient but also a good fit for their team-oriented environment.
We think you need these skills to ace Lead Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly with C/C++, Java, or Python. Emphasise any work you've done with AI systems and algorithms, as well as your understanding of software development best practices.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and innovation. Mention specific projects where you've applied AI to solve complex problems, and how your skills align with Cadence's mission to develop cutting-edge solutions.
Showcase Your Communication Skills: Since the role involves educating other engineers on AI best practices, highlight your communication skills. Provide examples of how you've effectively collaborated with teams or presented technical concepts to non-technical stakeholders.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI, machine learning, or software development. This shows your commitment to staying current with industry trends and emerging technologies, which is crucial for a role at Cadence.
How to prepare for a job interview at Cadence Design Systems
✨Showcase Your Technical Skills
As a Lead Software Engineer, you'll need to demonstrate your expertise in C/C++, Java, or Python. Be prepared to discuss specific projects where you've implemented AI algorithms or developed software solutions, and don't shy away from technical questions that test your knowledge.
✨Understand AI and Machine Learning
Since the role focuses on AI applications, brush up on various AI and machine learning algorithms. Be ready to explain how you've applied these techniques in past projects and how they can solve real-world engineering problems.
✨Communicate Effectively
Excellent communication skills are crucial for this position. Practice explaining complex technical concepts in simple terms, as you may need to educate other engineers on AI best practices during your interview.
✨Demonstrate Problem-Solving Abilities
The ability to find innovative solutions to difficult problems is key. Prepare examples of challenges you've faced in previous roles and how you approached them, particularly in the context of software development and AI.