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- Tasks: Support customers in high-performance computing and solve complex technical challenges.
- Company: Join MathWorks, a leader in innovative tech with a hybrid work model.
- Benefits: Flexible work environment, professional growth opportunities, and a collaborative culture.
- Other info: Be part of a diverse community of engineers and enjoy excellent career growth.
- Why this job: Shape the future of computing while leveraging cutting-edge tools like Generative AI.
- Qualifications: Bachelor's degree with relevant experience; strong problem-solving and communication skills.
The predicted salary is between 60000 - 80000 £ per year.
MathWorks has a hybrid work model that enables staff members to split their time between office and home. The hybrid model provides the advantage of having both in-person time with colleagues and flexible at-home life optimizations.
Join MathWorks and help shape the future of high-performance computing with MATLAB and Simulink. As part of the Advanced Support Group, you will be supporting MathWorks customers in resolving complex technical challenges in parallel computing, GPU acceleration and cloud-based workflows. You will work closely with product development teams on cutting edge use cases to drive product design in a direction that fulfills the evolving needs of our customers. This role is ideal for engineers who enjoy deep technical problem-solving, nuanced challenges, and are excited to leverage new tools such as Generative AI to amplify their impact. MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.
Responsibilities
- Influence the direction of MathWorks' parallel and GPU computing capabilities by providing a user's perspective in our product development process.
- Help customers with advanced use cases succeed in leveraging the potential of MathWorks products to solve complex technical problems. This includes code optimization, debugging and scaling workflows across on-premise clusters, cloud platforms (e.g., AWS, Azure), and hybrid environments.
- Be part of a diverse global community of engineers and high-performance computing experts within MathWorks.
- Leverage Generative AI as part of your engineering toolkit, including:
- Accelerating root-cause analysis and debugging
- Creating MATLAB scripts and tools to explore and demonstrate product behavior
- Innovating with agentic or workflow-oriented AI techniques to improve how complex issues are understood and resolved
Keys to your success will be:
- Expertise in high performance computing.
- Creative problem-solving technical issues.
- Identifying and communicating emerging and systemic needs of our customers.
In your first six months, you will:
- Leverage internal MathWorks training to extend your knowledge of our products.
- Become integrated with the Parallel Computing development teams.
- Resolve advanced technical issues faced by customers applying our products.
Qualifications
A bachelor's degree and 6 years of professional work experience (or a master's degree and 3 years of professional work experience, or a PhD degree, or equivalent experience) is required.
Additional Qualifications
- Excellent communication skills (effectively articulate ideas and provide feedback).
- Excellent problem-solving skills.
- Effective collaborator within a cross functional environment.
- Working experience with parallel programming, MPI, OpenMP, or GPU computing (e.g., CUDA) is a plus.
- Working knowledge with cloud, containers, or experience with submitting parallel jobs to HPC schedulers (e.g., Slurm) is a plus.
- Proficiency using MathWorks products including MATLAB, Parallel Computing Toolbox and MATLAB Parallel Server is a plus.
Advanced Solutions Engineer - High Performance Computing (35372-BHAM) in Cambridge employer: The MathWorks GmbH
Contact Detail:
The MathWorks GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Advanced Solutions Engineer - High Performance Computing (35372-BHAM) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former employees at MathWorks 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 technical interview by brushing up on your high-performance computing skills. Dive into parallel programming and GPU acceleration topics, and be ready to showcase your problem-solving prowess with real-world examples.
✨Tip Number 3
Show your passion for innovation! During interviews, highlight any experience you have with Generative AI or similar tools. MathWorks loves candidates who are excited about leveraging new tech to solve complex challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the MathWorks team.
We think you need these skills to ace Advanced Solutions Engineer - High Performance Computing (35372-BHAM) in Cambridge
Some tips for your application 🫡
Show Your Passion for HPC: When writing your application, let your enthusiasm for high-performance computing shine through. Share specific examples of projects or experiences that highlight your technical problem-solving skills and how you've tackled complex challenges in the past.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Advanced Solutions Engineer role. Highlight relevant experience with parallel programming, GPU computing, and any MathWorks products you've used. This shows us you’re serious about the position and understand what we’re looking for.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to articulate your ideas and experiences. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the application process there.
How to prepare for a job interview at The MathWorks GmbH
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of high-performance computing, parallel programming, and GPU acceleration. Be ready to discuss specific projects or challenges you've faced in these areas, as well as how you used tools like MATLAB and Simulink to solve complex problems.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled technical issues in the past. Think about times when you had to debug code or optimise workflows, especially in cloud environments. Highlight your creative approaches and the impact they had on your projects.
✨Communicate Clearly and Effectively
Since excellent communication is key for this role, practice articulating your ideas clearly. You might be asked to explain complex concepts, so try to simplify them without losing the essence. Consider doing mock interviews with a friend to refine your delivery.
✨Embrace the Hybrid Work Model
Familiarise yourself with the hybrid work model that MathWorks employs. Be prepared to discuss how you can balance in-person collaboration with remote work. Share your thoughts on how this flexibility can enhance productivity and teamwork.