Sr Solutions Engineer - Parallel Computing

Job Summary

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. Learn More: https://www.mathworks.com/company/jobs/resources/applying-and-interviewing.html#onboarding.

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

MathWorks nurtures growth, appreciates inclusivity, encourages initiative, values teamwork, shares success, and rewards excellence.

Responsibilities

In this role, you will

• 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.

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.