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- Tasks: Develop and maintain AI applications in digital verification, tackling real-world engineering challenges.
- Company: Cadence is a leader in electronic design, innovating for over 30 years in computational software.
- Benefits: Enjoy a hybrid work model, professional development opportunities, and an inclusive workplace culture.
- Why this job: Work with cutting-edge AI technology and collaborate with industry experts to shape the future of tech.
- Qualifications: BSc in Computer Science or related field with 4+ years of software development experience required.
- Other info: Join a diverse team committed to solving complex problems and making a meaningful impact.
The predicted salary is between 48000 - 84000 £ per year.
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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.
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Job Title: Lead Software Engineer
Location: Cambridge, United Kingdom
Reports to: Software Engineering Group Director
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.
Skills
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
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
Additional Information
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.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Software Development
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Lead Software Engineer employer: Cadence
Contact Detail:
Cadence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer
✨Tip Number 1
Familiarise yourself with Cadence's products and the specific AI applications they develop. Understanding their technology will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current or former employees of Cadence on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, especially those relevant to electronic design. Being able to discuss recent advancements or case studies in your conversations can set you apart from other candidates.
✨Tip Number 4
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss specific challenges you've faced in previous projects and how you applied AI solutions to overcome them, as this aligns closely with the job responsibilities.
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 this is crucial for the Lead Software Engineer role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and software engineering. Mention specific projects where you've applied AI to solve complex problems, and how your skills align with Cadence's mission to innovate in electronic design.
Showcase Your Communication Skills: Since the role involves educating other engineers, highlight your communication abilities. Provide examples of how you've effectively shared knowledge or collaborated with teams in previous roles.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, machine learning, or software development. This shows your commitment to staying current with industry trends and emerging technologies, which is important for Cadence.
How to prepare for a job interview at Cadence
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of various AI and machine learning algorithms during the interview. Be prepared to discuss specific projects where you've applied these techniques, as Cadence is looking for someone who can effectively communicate and educate others in this area.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex engineering problems using AI solutions. Cadence values a penchant for finding outstanding solutions, so be ready to explain your thought process and the impact of your work.
✨Familiarise Yourself with Their Tools
Research the specific AI tools and algorithms that Cadence uses in their verification tools. Showing familiarity with their technology will demonstrate your genuine interest in the role and your readiness to contribute from day one.
✨Emphasise Collaboration and Communication
Since the role involves working in a diverse team, highlight your collaboration skills and experience working with external stakeholders. Be prepared to discuss how you’ve successfully communicated complex technical concepts to non-technical audiences.
