Advanced Solutions Engineer - High Performance Computing (35372-BHAM)

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 to shape the future of high-performance computing (HPC) with MATLAB and Simulink. As part of our Advanced Support Group, you’ll collaborate with product development teams and customers solving cutting-edge problems in parallel computing, cluster computing, and cloud-based workflows. Your insights will directly influence the design of our next-generation tools. MathWorks nurtures growth, appreciates diversity, encourages initiative, values teamwork, shares success, and rewards excellence. Responsibilities In this role, you will: Drive the evolution of MathWorks' parallel and GPU computing capabilities by providing expert feedback to development teams. Support customers with advanced HPC and GPU workflows, including code optimization, scaling, and deployment on clusters, cloud platforms (e.g., AWS, Azure), and hybrid environments. Troubleshoot and resolve complex technical issues in parallel MATLAB codeandSimulink simulations. Collaborate with a diverse global community of engineers, domain experts, and academic researchers. In your first six months, you will: Complete in-depth training on MathWorks products and internal tools Partner with the Parallel Computing development team to influence product direction. 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 Strong problem-solving skills and the ability to identify emerging customer needs in scientific computing, engineering simulations, or data-intensive applications. Excellent communication skills and a passion for helping others succeed. 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 such as MATLAB, Simulink, and Parallel Computing Server is a plus

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