At a Glance
- 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 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 6 years experience or equivalent; strong problem-solving skills required.
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 or 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.
Sr Advanced Solutions Engineer - High Performance Computing (35372-BHAM) in Cambridge employer: The MathWorks GmbH
MathWorks is an exceptional employer that fosters a collaborative and inclusive work culture, allowing employees to thrive in a hybrid environment that balances in-office collaboration with the flexibility of remote work. With a strong emphasis on professional growth, MathWorks provides extensive training opportunities and encourages innovation through cutting-edge technologies like Generative AI, making it an ideal workplace for engineers passionate about high-performance computing and solving complex technical challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Advanced Solutions Engineer - High Performance Computing (35372-BHAM) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current or former MathWorks employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those technical interviews by brushing up on your problem-solving skills. Dive into parallel computing concepts, GPU acceleration, and cloud workflows. We want you to shine when discussing how you can tackle complex challenges!
✨Tip Number 3
Show off your passion for high-performance computing! During interviews, share specific examples of projects where you've used MATLAB or similar tools. This will demonstrate your hands-on experience and enthusiasm for the field.
✨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 genuinely interested in joining the MathWorks team!
We think you need these skills to ace Sr Advanced Solutions Engineer - High Performance Computing (35372-BHAM) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Sr Advanced Solutions Engineer. Highlight your experience with high-performance computing, parallel programming, and any relevant tools like MATLAB or GPU computing. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a perfect fit. Don’t forget to mention your problem-solving skills and any experience with cloud platforms or parallel computing.
Showcase Your Technical Skills:In your application, be sure to showcase your technical skills clearly. Mention specific projects or experiences where you've tackled complex challenges, especially those involving GPU acceleration or cloud-based workflows. We love seeing real-world examples!
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application gets to the right people. Plus, you can easily track your application status there!
How to prepare for a job interview at The MathWorks GmbH
✨Know Your Stuff
Make sure you brush up on high-performance computing concepts, especially parallel programming and GPU acceleration. Familiarise yourself with MathWorks products like MATLAB and the Parallel Computing Toolbox, as you'll want to demonstrate your technical expertise during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples of complex technical challenges you've faced and how you resolved them. Think about situations where you optimised code or debugged issues in cloud environments, as these experiences will resonate well with the interviewers.
✨Communicate Clearly
Since excellent communication is key for this role, practice articulating your ideas clearly and concisely. Be ready to explain technical concepts in a way that’s easy to understand, as you’ll need to convey complex information to customers and team members alike.
✨Embrace Collaboration
MathWorks values teamwork, so be prepared to discuss how you've successfully collaborated in cross-functional teams. Share examples of how you’ve worked with others to tackle challenges, and highlight your ability to adapt and contribute to a diverse team environment.
