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Sr Advanced Solutions Engineer - Computing; -BHAM

Job in Natick, Middlesex County, Massachusetts, 01760, USA
Listing for: The MathWorks GmbH
Full Time position
Listed on 2025-12-09
Job specializations:
  • IT/Tech
    Systems Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr Advanced Solutions Engineer - High Performance Computing (35372-BHAM)

Job Summary

Math Works 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:

About the Role

Join Math Works 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.

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

Responsibilities
  • Drive the evolution of Math Works' 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 codeand

    Simulink simulations.
  • Collaborate with a diverse global community of engineers, domain experts, and academic researchers.
First Six Months
  • Complete in-depth training on Math Works 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 Math Works products such as MATLAB, Simulink, and Parallel Computing Server is a plus
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