ZipRecruiter

Log In

2

Remote High Performance Computing Jobs in Minnesota

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

Description NextSilicon is reimagining high-performance computing. Our accelerated compute ... Remote considered for exceptional candidates. As part of a software-defined hardware company, you ...

Varsity Tutors

C++ Tutor

Edina, MN · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

AGCO

Software Engineer

Jackson, MN · On-site +1

$80K - $95K/yr

Design software solutions for distributed, computing systems including realtime and high-performance processors. * Work in an Agile environment with Product Owners, Scrum Masters, developers and ...

next page

Showing results 1-20

All JobsHigh Performance Computing JobsRemote High Performance Computing JobsRemote High Performance Computing Jobs in Minnesota

Remote High Performance Computing information

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.
What are popular job titles related to Remote High Performance Computing jobs in Minnesota? For Remote High Performance Computing jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in Minnesota look for? The top searched job categories for Remote High Performance Computing jobs in Minnesota are:
What cities in Minnesota are hiring for Remote High Performance Computing jobs? Cities in Minnesota with the most Remote High Performance Computing job openings:
Remote High Performance Computing jobs near you
Infographic showing various Remote High Performance Computing job openings in Minnesota as of June 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

HPC PreSales / Field Applications Engineer

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 10 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