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Remote Pandas Jobs in Minnesota (NOW HIRING)

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Pandas, and Shapely. Understanding of web languages such as JavaScript is beneficial. As a GIS ...

Lead Research Engineer

Eagan, MN · On-site +1

$104K - $137K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch. * Take pride in writing clean, reusable ...

Remote Pandas information

What is the difference between Remote Pandas vs Remote Data Analysts?

AspectRemote PandasRemote Data Analysts
Required SkillsPython, Pandas library, data manipulationExcel, SQL, data visualization
Work EnvironmentRemote, programming-focusedRemote, analytical and reporting tasks
Industry UsageTech, finance, data science projectsBusiness, marketing, finance sectors
CertificationsPython certifications, data science coursesExcel, SQL certifications, analytics courses

Remote Pandas roles focus on data manipulation using Python and Pandas, often requiring programming skills. Remote Data Analysts handle data analysis, reporting, and visualization, typically using Excel and SQL. Both roles are remote and industry-relevant, but they differ in tools and daily tasks.

What are popular job titles related to Remote Pandas jobs in Minnesota? For Remote Pandas jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Pandas jobs in Minnesota look for? The top searched job categories for Remote Pandas jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Pandas jobs? Cities in Minnesota with the most Remote Pandas job openings:

HPC Customer Solutions Engineer

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 16 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.

Join our customer success team as an HPC Customer Solutions Engineer. 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.
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. If you are passionate about science and technology, thrive in a customer-facing role, and want to shape the future of high-performance computing, we want to hear from you.
We currently have 2 open requisitions for this Customer Solutions Engineer role.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices preferred but Remote considered for exceptional candidates.
Requirements
  • 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 toolchains, 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
  • Knowledge of performance optimization techniques for parallel computing, including code profiling, tuning, and scaling
  • Exceptional written communication skills with a proven ability to produce clear, concise, and technically accurate documentation
  • Strong verbal communication for effective customer engagement and internal advocacy
  • Results-driven and relentless, with a bias toward creative solutions and a no-excuses approach to delivering outcomes
  • US citizenship with eligibility to visit US government research facilities strongly preferred

Desirable technical skills
  • Familiarity with Python and its relevant data science libraries (e.g., NumPy, Pandas)
  • Familiarity with key AI/ML frameworks (e.g., PyTorch, TensorFlow, or JAX) or working knowledge of optimizing AI/ML workloads on parallel architectures (e.g., GPU acceleration, distributed training)

Responsibilities
  • Provide hands-on support, assisting customers in resolving technical issues for scientific HPC applications
  • Identify, troubleshoot, and reproduce resolving client-facing bugs and runtime errors, ensuring timely resolution and customer satisfaction
  • Drive new software features through direct customer engagement, and resolve client-facing issues.
  • Maintain up-to-date knowledge of key software features and communicate effectively with customers to provide guidance and support
  • Act as a liaison between internal teams, end-users, and relevant stakeholders to advocate for and fulfill customer needs, translating technical requirements into software features
  • Contribute to the development and upkeep of user documentation and support knowledge base
  • Profile and identify bottlenecks in a diverse range of HPC applications across various architectures