At a Glance
- Tasks: Develop and maintain AI infrastructure for Cadence's design tools.
- Company: Cadence is a leader in electronic design with over 30 years of expertise.
- Benefits: Enjoy a hybrid work model, professional development, and an inclusive culture.
- Why this job: Work with cutting-edge AI technology and collaborate with industry experts.
- Qualifications: Good degree in Computer Science or related field; strong programming skills in C, C++, Python.
- Other info: Opportunities for career progression and a commitment to diversity and inclusion.
The predicted salary is between 28000 - 42000 Β£ 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 worldβs 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 Junior Software Engineer to join our team responsible for developing and maintaining AI infrastructure across Cadence's portfolio of design tools. This role offers an exciting opportunity to work at the intersection of computational software and artificial intelligence, helping to shape the future of Cadence's innovative solutions.
Job Responsibilities
- Contribute to the development of AI infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization.
- Assist in development of software systems and libraries to deliver AI-driven functionality across the whole Cadence organization.
- Assist in developing systems to implement AI functionality across the whole Cadence organization.
- Collaborate with cross-functional teams to implement AI features that enhance Cadence's solutions.
- Participate in code reviews, testing, and debugging to ensure high-quality, reliable software.
- Stay current with industry trends and emerging technologies in AI and machine learning.
- Document technical processes and developments for knowledge sharing across teams.
Job Qualifications
- Good degree in Computer Science, Electrical Engineering, or related technical field.
- Strong programming skills in C, C++, Python.
- Knowledge of AI/ML concepts and frameworks.
- Willingness to learn multiple programming languages.
- Understanding of software development principles and practices.
- Problem-solving skills and analytical thinking.
- Excellent communication and teamwork abilities.
Additional Skills/Preferences:
- Experience with AI model deployment and inference.
- Familiarity with prompt engineering techniques.
- Knowledge of model optimization methods such as quantization.
- Understanding of software library development.
- Experience with version control systems (Git).
- Exposure to computational software or design tools.
- Interest in hardware design or semiconductor technology.
Work Arrangements
Hybrid working model with multiple 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.
Software Engineer II employer: Cadence
Contact Detail:
Cadence Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Software Engineer II
β¨Tip Number 1
Familiarise yourself with Cadence's products and services. Understanding their AI infrastructure and how it integrates with their design tools will give you a solid foundation to discuss during interviews.
β¨Tip Number 2
Engage with the AI and software development community online. Join forums, attend webinars, or participate in hackathons to showcase your skills and learn from others, which can help you stand out as a candidate.
β¨Tip Number 3
Network with current or former employees of Cadence on platforms like LinkedIn. They can provide valuable insights into the company culture and the specific skills that are highly valued in the Software Engineer II role.
β¨Tip Number 4
Stay updated on the latest trends in AI and machine learning. Being able to discuss recent advancements or technologies during your interview can demonstrate your passion and commitment to the field.
We think you need these skills to ace Software Engineer II
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Software Engineer II role at Cadence. Emphasise your programming skills in C, C++, and Python, as well as any knowledge of AI/ML concepts.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and AI. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work in a team, as these are key attributes for the role.
Showcase Relevant Projects: If you have worked on any projects related to AI infrastructure, model deployment, or software development, be sure to include them in your application. This will help illustrate your hands-on experience and technical capabilities.
Highlight Continuous Learning: Cadence values candidates who are willing to learn. Mention any courses, certifications, or self-study efforts you've undertaken in AI, machine learning, or software development to show your commitment to professional growth.
How to prepare for a job interview at Cadence
β¨Showcase Your Programming Skills
Make sure to highlight your strong programming skills in C, C++, and Python during the interview. Be prepared to discuss specific projects or experiences where you applied these languages, as this will demonstrate your technical proficiency.
β¨Understand AI/ML Concepts
Since the role involves developing AI infrastructure, it's crucial to have a solid understanding of AI and machine learning concepts. Brush up on relevant frameworks and be ready to discuss how you've applied these concepts in past projects or coursework.
β¨Prepare for Problem-Solving Questions
Expect to face problem-solving questions that assess your analytical thinking. Practice coding challenges or algorithm problems beforehand, as this will help you think on your feet and showcase your problem-solving abilities during the interview.
β¨Demonstrate Team Collaboration
Collaboration is key in this role, so be prepared to discuss your experience working in teams. Share examples of how you've successfully collaborated with others, particularly in cross-functional settings, to implement features or solve complex problems.