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Remote Research Computing Jobs in Minnesota (NOW HIRING)

ZEISS

Applications Engineer II

Minneapolis, MN · On-site +1

... segments like, Industrial Quality & Research, Medical Technology, Consumer Markets and ... Provide remote and on-site technical support for ZEISS Industrial Metrology systems, including:

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Remote Research Computing information

What are the key skills and qualifications needed to thrive in Remote Research Computing, and why are they important?

To excel in Remote Research Computing, you need a strong background in computer science, data analysis, and scientific research methods, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, cloud platforms, programming languages (such as Python or R), and experience with collaborative tools are typically required. Excellent problem-solving, communication, and self-management skills help professionals work effectively across virtual teams and complex projects. These skills and qualities are vital to ensure efficient research workflows, accurate data handling, and successful collaboration in a remote, technology-driven environment.

What is remote research computing?

Remote research computing refers to the use of computing resources, such as high-performance computers or cloud-based systems, that can be accessed from anywhere via the internet. This enables researchers to perform complex data analysis, simulations, or computational experiments without being physically present at the location of the hardware. It is especially useful for collaborative projects, large datasets, and situations where local computing power is insufficient. Researchers use secure connections and specialized software to interact with these remote resources efficiently.

What are some common challenges faced by professionals working in Remote Research Computing, and how can they be addressed?

Professionals in Remote Research Computing often encounter challenges such as ensuring secure and efficient data transfer, collaborating with geographically dispersed teams, and troubleshooting computational issues without in-person support. To address these challenges, it's important to become proficient with remote collaboration tools, maintain clear communication with team members, and stay updated on best practices for data security and cloud resource management. Many organizations also provide virtual onboarding and regular training sessions to help remote research computing staff adapt to evolving technologies and workflows.
What are popular job titles related to Remote Research Computing jobs in Minnesota? For Remote Research Computing jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Research Computing jobs in Minnesota look for? The top searched job categories for Remote Research Computing jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Research Computing jobs? Cities in Minnesota with the most Remote Research Computing job openings:
Remote Research Computing jobs near you

HPC PreSales / Field Applications Engineer

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 13 days ago

Job description

Description
NextSilicon 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.
At NextSilicon, everything we do is guided by three core values:
  • 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.

As we are preparing the launch of our 2nd and 3rd generation of accelerators we are strengthening our technical field sales support to help identify and qualify opportunities for our technology in different industry verticals as well as governmental and academic institutions in the American markets, pre-dominantly, but not exclusively, in the United States and Canada.
We are looking for an experienced HPC and AI application field support engineer to join our pre-sales engineering team. The ideal candidate brings already a broad work experience in different application areas (CFD, FEM, MD, Weather/Climate, QM, AI models, ...) to port, benchmark and optimize applications for different types of high performance computing technologies (CPUs, GPUs, FPGAs, etc). While strong hands-on work experience is a requirement, the candidate must have excellent communication skills, both orally and in writing, when discussing advantages of our unique approach to accelerating computing workloads to our customers and when gathering and summarizing new customer requirements for our research and development teams.
You will closely collaborate with sales and business development teams to identify and qualify new opportunities, leverage and grow your already existing client networks to help foster growth in our opportunity pipeline, formulate and justify new requirements for next generations of our hardware and software stack, liaise closely with technical experts and decision makers of our existing and potential customer base and provide consulting on how to maximize value from our technology for their specific use cases, conduct and lead performance studies, code porting and proof-of-concepts with our application support team and assist our sales partners in delivering winning proposals.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Travel: Ability and willingness to travel up to 40% predominantly in North-America, occasionally internationally, is required
Requirements
  • Bachelor of Science in an engineering discipline (computer science, mathematics, natural sciences or engineering) with a significant focus on scientific computing
  • Masters or Ph.D. with relevant specialization is a plus
  • At least 8 years of work experience in the field, of which at least 4 years should be in the commercial sector
  • If work experience is highly relevant to the field, supported by an excellent track record (e.g. publications), those with less years would be considered
  • Practical work experience with at least two computing architectures (CPUs, GPUs, FPGAs, vector processors, ...) is required
  • Practical expertise in at least two application areas is required (finite element methods, computational fluid dynamics, molecular dynamics, high-energy or astro physics, quantum chemistry, weather/climate simulations, AI training & inference frameworks)
  • Experience in at least two industry verticals are strongly desired (government, academic, finance, oil & gas, manufacturing, telecommunication, engineering or logistics)
  • A strong parallel programming experience using both MPI and OpenMP is required
  • A strong C/C++ and Fortran background is required
  • Fortran experience can be less, but willingness to learn and expand is required
  • UNIX (Linux) and shell programming experience is required
  • Python programming is a plus
  • Good presentation skills and soft skills in working with customers are essential
  • Strong technical writing skills are important(presentations, whitepapers, blogs, ...)
  • Examples of peer-reviewed publications are a plus
  • US citizenship with eligibility to visit US government research facilities

Responsibilities
As a professional you are highly self-motivated and results driven. There you are actively setting and pursuing weekly goals for yourself that assist in achieving your objectives:
  • Maintain and foster existing and create new contacts with clients, actively looking for new opportunities
  • Initiate, organize and lead proof-of-concept, benchmarking and code porting projects to win new business
  • Gather and qualify new important customer requirements; document and discuss them with product management and engineering
  • Providing competitive market insights and guidance to sales and engineering teams
  • Assist our partners in finding both standard and innovative answers to technical requirements and questions in proposals and help in providing concise descriptions and compelling value propositions to be included in their proposals
  • Assess and mitigate technology risks for our clients and our company
  • Present the value of our technology for different use cases in front of customers
  • Actively work and contribute towards achieving our sales targets and other KPIs
  • Actively report your activities and discuss your plans with your peers and management team
  • Grow your area of expertise (new classes of applications and market verticals, competitor awareness, new methodologies and relevant technical frameworks, familiarization with NextSilicons technologies.

Apply