At a Glance
- Tasks: Develop cutting-edge mathematical and statistical software for next-gen AI and computing.
- Company: Join AMD, a leader in innovation and collaboration in tech.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact on groundbreaking projects in a dynamic environment.
- Qualifications: Master's or PhD in relevant fields with software development experience.
The predicted salary is between 60000 - 80000 £ per year.
At AMD, our mission is to build great products that accelerate next‐generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you will discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.
The right engineer will drive the success of AMD (Advanced Micro Devices) software products, around mathematics and classical machine learning, through innovation and collaboration. You will have exposure to all the latest AMD technologies as part of the team which will deliver our next generation products. This is a phenomenal opportunity to work in an outstanding company like AMD.
The Person
With a relevant academic background and software development experience, you have a drive to learn and innovate to improve yourself and our products. Your peers will provide a results‐oriented and encouraging environment to solve challenging technical problems and grow your career.
Academic Credentials
- Master's degree or PhD in Mathematics, Statistics, Data Science or equivalent
Key Responsibilities
- Development of mathematical and statistical software with an emphasis on usability, accuracy and performance
- Implement serial and parallel algorithms solving real world classical machine learning problems, taking ownership from design to delivery
- Build and deploy software for the most advanced CPU and AI platforms in the world
- Develop and maintain a suitable test infrastructure
- Innovate in production software environments continuously striving to optimize the workflow
- Collaborate across the organization
- Liaise with stakeholders and follow up on action items
Preferred Experience
- An understanding of mathematical concepts and algorithms applicable to classical machine learning, data science or statistics
- Programming experience, using C/C++
- Experience of programming with OpenMP or another parallel language or paradigm is desirable
- Prior experience of scripting such as Python, Shell, or R
- Knowledge of Windows and Linux environments
- Experience with software development processes and tools such as build systems, debuggers and source code control systems
- Excellent verbal and written communication and presentation skills for technical and non‐technical audiences
- Excellent interpersonal, organizational and planning skills
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee‐based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‐party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
Sr. Mathematical/Statistical Software Engineer in Manchester employer: AMD
AMD in Cambridge offers an exceptional work environment for Senior CPU Verification Engineers, fostering a culture of innovation and collaboration. Employees benefit from competitive compensation, comprehensive professional development opportunities, and the chance to work on cutting-edge technology in a vibrant tech hub. With a focus on teamwork and communication, AMD ensures that every team member can contribute meaningfully to the success of their projects.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Mathematical/Statistical Software Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former AMD employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about mathematical concepts and algorithms relevant to the role. Practice coding challenges in C/C++ to show off your programming chops!
✨Tip Number 3
Show your passion for innovation! During interviews, share examples of how you've tackled complex problems or contributed to projects. This will demonstrate your drive to learn and improve, which is key at AMD.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the AMD team.
We think you need these skills to ace Sr. Mathematical/Statistical Software Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of a Sr. Mathematical/Statistical Software Engineer. Highlight your programming experience, especially in C/C++, and any relevant projects that showcase your understanding of machine learning and statistical software.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for AMD. Don’t forget to mention your collaborative spirit and eagerness to innovate—these are key values at AMD!
Showcase Your Projects:If you've worked on any relevant projects, whether academic or personal, make sure to include them in your application. This could be anything from algorithms you've implemented to software you've developed. It’s a great way to demonstrate your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at AMD
✨Know Your Maths and Stats
Brush up on your mathematical concepts and algorithms relevant to classical machine learning. Be ready to discuss how you've applied these in past projects, as this will show your depth of understanding and practical experience.
✨Showcase Your Coding Skills
Prepare to demonstrate your programming expertise, especially in C/C++. Have examples ready that highlight your experience with parallel programming using OpenMP or similar technologies. This will help you stand out as a candidate who can tackle complex problems.
✨Understand AMD's Culture
Familiarise yourself with AMD's mission and values. During the interview, express how your personal values align with their culture of innovation, collaboration, and inclusivity. This will show that you're not just a technical fit but also a cultural one.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and knowledge of software development processes. Practice explaining your thought process clearly and concisely, as communication is key when liaising with stakeholders and team members.