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Internship Shopify Plus Developer Jobs in Micronesia

$104K - $143K/yr

... interns. * Working closely with product management and other internal and external customers to ... fusion is a huge plus. * Experience with agile software development practices using project ...

Internship Shopify Plus Developer information

What types of projects can an Internship Shopify Plus Developer expect to work on during their internship?

As an Internship Shopify Plus Developer, you can expect to work on a variety of projects that support the design, development, and optimization of e-commerce stores for enterprise-level clients. Typical tasks include customizing Shopify Plus themes, integrating third-party applications, optimizing site performance, and assisting with new feature implementation under the guidance of senior developers. You'll also collaborate closely with designers, project managers, and QA testers, gaining hands-on experience in agile workflows and cross-functional team dynamics. This exposure not only builds your technical skills but also enhances your understanding of large-scale e-commerce solutions.

What is the difference between Internship Shopify Plus Developer vs Shopify Plus Developer?

AspectInternship Shopify Plus DeveloperShopify Plus Developer
Required CredentialsBasic knowledge of Shopify, some coding skills, ongoing learningAdvanced Shopify development skills, experience, possibly certifications
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, complex projects, client-facing
Employer & Industry UsageInternship programs in e-commerce companies or agenciesEstablished e-commerce brands, agencies, or freelance work
Search & Comparison IntentLearning, entry-level opportunities, career explorationProfessional growth, skill development, project management

The main difference between an Internship Shopify Plus Developer and a Shopify Plus Developer is experience level and responsibilities. Internships are entry-level, focused on learning and gaining foundational skills, while full Shopify Plus Developers handle complex projects and client needs. Internships serve as stepping stones toward becoming a full developer in the industry.

What are the key skills and qualifications needed to thrive as an Internship Shopify Plus Developer, and why are they important?

To thrive as an Internship Shopify Plus Developer, you need a foundational understanding of web development languages like HTML, CSS, and JavaScript, along with basic e-commerce concepts and a relevant educational background. Familiarity with Shopify's Liquid templating language, Git version control, and possibly exposure to APIs or Shopify Plus-specific features is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate clearly with team members and clients are important soft skills. These abilities ensure effective development of customized Shopify solutions, smooth collaboration within teams, and successful delivery of client projects.

What is an Internship Shopify Plus Developer?

An Internship Shopify Plus Developer is an entry-level or student position focused on learning and assisting with the development, customization, and maintenance of e-commerce websites using Shopify Plus, the enterprise version of Shopify. Interns in this role work under the supervision of experienced developers, helping to build new features, troubleshoot issues, and optimize online stores for businesses. This role typically involves front-end and back-end coding, integrating third-party apps, and collaborating with design and marketing teams. It's an excellent opportunity to gain hands-on experience in e-commerce development and learn industry best practices.
Senior Math Libraries Engineer - AI and HPC

Senior Math Libraries Engineer - AI and HPC

Nvidia

$104K - $143K/yr

Full-time

Posted 2 hours ago


Job description

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the area of kernel generation for AI and HPC, specifically targeting matrix operations, JITing and fusions. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated mathematical libraries that makes all of this possible?

What you will be doing:

  • Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.

  • Owning the execution of projects involving multiple engineers and sometimes teams.

  • Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.

  • Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.

  • Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.

  • To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.

What we need to see:

  • PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).

  • 8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.

  • Strong fundamentals in kernel generation and composable library design for linear algebra.

  • Leadership skills in driving software development projects.

  • Strong collaboration, communication, and documentation habits.

  • Kernel generation. JIT focus/experience desired

Ways to stand out from the crowd:

  • Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.

  • Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.

  • Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.

  • Experience with agile software development practices using project management tools such as JIRA.

  • A scripting language, preferably Python.

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993