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- Tasks: Join our team to develop AI infrastructure and enhance software systems.
- Company: A leading Multinational Semiconductor Organisation at the forefront of technology.
- Benefits: Enjoy professional development, clear career paths, and an inclusive workplace culture.
- Why this job: Work with cutting-edge AI tech and collaborate with industry experts.
- Qualifications: Good degree in Computer Science or related field; strong skills in C, C++, Python.
- Other info: Onsite work required 4 days a week in Cambridge.
The predicted salary is between 28800 - 48000 £ per year.
Client: Our client, a leading Multinational Semiconductor Organisation, requires a number of C/C++, Python, Machine Learning Software Engineers for a role based in Cambridge, England. You will be required to be onsite 4 days per week.
Role: They are seeking a number of Junior Software Engineers to join our team responsible for developing and maintaining AI infrastructure across a 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 innovative solutions.
Responsibilities:
- Contribute to the development of AI infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantisation.
- Assist in the development of software systems and libraries to deliver AI-driven functionality across the whole Organisation.
- Assist in developing systems to implement AI functionality across the whole Organisation.
- Collaborate with cross-functional teams to implement AI features that enhance 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.
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.
Why Join:
- 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.
Contact: For further information please contact MÃcheál at Software Placements on 00353 1 5254642 or email.
Contact Detail:
Software Placements Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for the field.
✨Tip Number 2
Network with professionals in the semiconductor and AI industries. Attend relevant meetups or online webinars to connect with potential colleagues and learn more about the company culture, which can give you an edge in your application.
✨Tip Number 3
Brush up on your coding skills, particularly in C, C++, and Python. Consider working on personal projects or contributing to open-source projects that involve AI functionalities to demonstrate your practical experience.
✨Tip Number 4
Prepare to discuss your problem-solving approach and analytical thinking during interviews. Be ready to share examples of how you've tackled challenges in previous projects, especially those related to software development and AI.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in C, C++, and Python. Include any relevant experience with AI/ML concepts and frameworks, as well as your problem-solving abilities.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your understanding of AI infrastructure and software development principles.
Showcase Relevant Projects: If you have worked on any projects related to AI, machine learning, or software development, be sure to include them in your application. Highlight your contributions and the technologies used.
Prepare for Technical Questions: Anticipate technical questions related to programming languages, AI concepts, and software development practices. Brush up on your knowledge of model optimization methods and version control systems like Git.
How to prepare for a job interview at Software Placements
✨Showcase Your Programming Skills
Be prepared to discuss your experience with C, C++, and Python. Bring examples of projects you've worked on that demonstrate your coding abilities, especially those related to AI or machine learning.
✨Understand AI/ML Concepts
Familiarise yourself with key AI and machine learning concepts, as well as frameworks you might have used. Be ready to explain how these concepts apply to the role and how you've implemented them in past projects.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in software development and how you approached solving them. Highlight your analytical thinking and problem-solving skills, as these are crucial for the role.
✨Emphasise Team Collaboration
Since the role involves working with cross-functional teams, be ready to share experiences where you've successfully collaborated with others. Discuss how you communicate effectively and contribute to team success.
