HPC Applications Support Engineer
Listed on 2025-12-14
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IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Join to apply for the HPC Applications Support Engineer role at Next Silicon
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Next Silicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software‑defined hardware architecture enables HPC to fulfill its promise of breakthroughs in all fields of advanced research.
Our core values are:
- Professionalism:
We strive for exceptional results through professionalism and unwavering dedication to quality and performance. - Unity:
Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard. - Impact:
We’re passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.
We are seeking a highly skilled, customer‑centric individual to act as the primary link between our cutting‑edge HPC technology and its end‑users. This role is crucial for ensuring customer success through high‑quality technical training, comprehensive documentation, and deep application analysis that directly influences our product roadmap, ultimately accelerating scientific discovery and innovation for our clients.
Operating at the forefront of computer science and scientific applications, you will be instrumental in enabling our customers to achieve peak performance in diverse fields such as graph algorithms, sparse computations, weather prediction, and more. As our platform evolves to incorporate next‑generation capabilities (including AI/ML), you will be a key resource in supporting these emerging technologies. You will not only directly support users but actively drive the usability and feature development of our platform by collaborating closely with our product and software engineering teams.
Location: Remote, with preference to CST/EST or to relocate to our Minneapolis, MN office.
Requirements- US citizenship with eligibility to visit US government research facilities.
- Capability to manage multiple simultaneous tasks and priorities.
- Willingness to travel as necessary (ranging from monthly to quarterly) for customer training and internal meetings.
- Ability to work remotely and independently in a fast‑paced environment with minimal direct supervision.
- Master’s or higher degree in computer science, engineering, physics, or a related field; candidates may be considered if they have relevant experience in lieu of an advanced degree.
- Proficiency in C, C++, and/or Fortran programming languages.
- Working understanding of standards‑based parallel programming models and languages such as MPI, OpenMP, CUDA, or OpenACC.
- Familiarity with HPC software stack components including LLVM compilers and tool chains, libraries, schedulers, and job submission systems (e.g., SLURM or PBS).
- Experience with Linux/Unix operating systems and command‑line tools for system navigation, administration, and troubleshooting.
- Familiarity with Python and its relevant data science libraries (e.g., Num Py, Pandas).
- Familiarity with key AI/ML frameworks (e.g., PyTorch, Tensor Flow, or JAX) or working knowledge of optimizing AI/ML workloads on parallel architectures (e.g., GPU acceleration, distributed training).
- Proven ability to design, develop, and deliver high‑impact technical training and educational content for HPC power‑users and technical specialists.
- Exceptional written communication skills with a proven ability to produce clear, concise, and technically accurate documentation.
- Strong verbal communication and presentation skills for effective customer engagement and internal advocacy.
- Develop training materials (slides, tutorials, hands‑on examples) tailored to various levels of user expertise, from new users to HPC power‑users and technical specialists.
- Plan and structure key educational material, including determining core learning objectives and conducting needs analysis to ensure content addresses critical user pain points and interests (e.g., performance…
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