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- Tasks: Support customers in solving complex technical challenges in high-performance computing.
- Company: Join MathWorks, a leader in innovative tech with a collaborative culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional development opportunities.
- Other info: Be part of a diverse global community with excellent career growth potential.
- 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.
- 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) 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)
✨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 problem-solving skills. Dive into parallel programming concepts and practice coding challenges related to high-performance computing. We want to see how you tackle complex issues!
✨Tip Number 3
Show off your passion for innovation! During interviews, share examples of how you've used new tools or technologies, like Generative AI, to solve problems. This will demonstrate your forward-thinking mindset and fit with MathWorks' culture.
✨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)
Some tips for your application 🫡
Show Your Passion for HPC: When you're writing your application, let your enthusiasm for high-performance computing shine through. We want to see how excited you are about tackling complex technical challenges and using tools like MATLAB and Simulink to make a difference.
Tailor Your Experience: Make sure to highlight your relevant experience in parallel programming, GPU computing, or cloud platforms. We love seeing how your background aligns with the role, so don’t hold back on showcasing your skills and achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we’re looking for excellent communication skills!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
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 tackled using these technologies, as this will show your hands-on experience and problem-solving skills.
✨Showcase Your Communication Skills
Since the role involves collaborating with cross-functional teams, practice articulating complex technical concepts in a clear and concise manner. Prepare examples where you've successfully communicated ideas or resolved issues with colleagues or customers.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach real-world problems, especially those related to code optimisation or debugging. Think through potential scenarios beforehand and outline your thought process to demonstrate your analytical skills.
✨Emphasise Your Adaptability
MathWorks values initiative and inclusivity, so be ready to discuss how you've adapted to new tools or technologies in the past. Highlight any experience with Generative AI or cloud platforms, as this aligns well with the evolving needs of their customers.