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Ai Applications Engineer Jobs in Minnesota (NOW HIRING)

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site +1

We are looking for an experienced Applications Engineer to join the Applications team, with ... Hands-on experience with one or more AI/ML frameworks, such as PyTorch * Proficiency in C/C++ and ...

NextSilicon

HPC Applications Engineer

Minneapolis, MN · On-site

We are looking for an experienced Applications Engineer to join the Applications team, with ... Hands-on experience with one or more AI/ML frameworks, such as PyTorch * Proficiency in C/C++ and ...

Blank Metal Inc

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Our team of seasoned engineers, designers, and strategists work across industries to create AI ... You understand how to integrate LLM APIs and AI services into robust applications, architect ...

Programmers.io

AI Lead

Minneapolis, MN · On-site

... applications in a cloud environment (Azure preferred). o Strong SQL required and data engineer skills would be a plus. · Technical Skills: o Solution Design skills: Design robust AI solution ...

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

... applications - Managing data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You ...

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Ai Applications Engineer information

How does an AI Applications Engineer typically collaborate with data scientists and software developers on project teams?

As an AI Applications Engineer, you will often serve as a bridge between data scientists, who build and optimize machine learning models, and software developers, who integrate these models into production systems. Collaboration usually involves translating model requirements into scalable application features, ensuring model outputs align with user needs, and troubleshooting technical challenges that arise during deployment. Regular meetings, code reviews, and shared documentation are common practices to keep everyone aligned and ensure seamless integration. This cross-functional teamwork enhances both the technical robustness and usability of AI-powered applications.

What is the difference between Ai Applications Engineer vs Data Scientist?

AspectAi Applications EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets results
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, tech, research institutions

While both roles involve AI and data, Ai Applications Engineers focus on developing and deploying AI solutions in engineering contexts, whereas Data Scientists analyze data to extract insights. The roles often overlap but differ mainly in their primary focus and application environment.

What is a $900000 AI job?

A $900,000 AI applications engineer role typically refers to a high-level position in artificial intelligence development, often involving advanced skills in machine learning, deep learning, and data analysis. Such compensation may include base salary, bonuses, and stock options, usually found in senior or specialized roles within tech companies or startups. These positions often require extensive experience, certifications, and a strong understanding of AI tools and frameworks.

What are the key skills and qualifications needed to thrive as an AI Applications Engineer, and why are they important?

To thrive as an AI Applications Engineer, you need strong programming abilities (Python, Java, or C++), a solid understanding of machine learning algorithms, and a relevant degree in computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and data processing tools is typically required, along with certifications in machine learning or AI. Excellent problem-solving, collaboration, and communication skills help you translate business needs into effective AI solutions and work efficiently with cross-functional teams. These skills are critical for building scalable, reliable AI systems that deliver tangible value to organizations.

What does an AI application engineer do?

An AI application engineer designs, develops, and implements artificial intelligence solutions to solve specific problems or improve processes. They work with machine learning models, programming languages like Python or Java, and tools such as TensorFlow or PyTorch, often collaborating with data scientists and software developers to deploy AI systems in real-world applications.

Which 3 jobs will survive AI?

AI Applications Engineers are likely to continue to find roles in developing, implementing, and maintaining AI systems, as their expertise in integrating AI solutions remains in demand. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to fully replicate or automate.

What engineer makes $500,000 a year?

Highly experienced AI Applications Engineers working in senior or specialized roles at large tech companies or in consulting can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in machine learning, deep learning, and software development, along with significant industry experience and often a master's or Ph.D. degree.

What are AI Applications Engineers?

AI Applications Engineers are professionals who design, develop, and integrate artificial intelligence (AI) solutions into software applications to solve real-world problems. They work closely with data scientists, software engineers, and business stakeholders to build and deploy machine learning models, automate processes, and enhance user experiences. Their responsibilities often include selecting appropriate AI technologies, writing code, testing models, and optimizing performance. AI Applications Engineers play a key role in translating AI research and prototypes into scalable and maintainable products used in industries like healthcare, finance, retail, and more.
What are popular job titles related to Ai Applications Engineer jobs in Minnesota? For Ai Applications Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Applications Engineer jobs in Minnesota look for? The top searched job categories for Ai Applications Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Applications Engineer jobs? Cities in Minnesota with the most Ai Applications Engineer job openings:
Ai Applications Engineer jobs near you

HPC Applications Engineer

NextSilicon

Minneapolis, MN • On-site, Remote

Full-time

Posted 17 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.

We are looking for an experienced Applications Engineer to join the Applications team, with demonstrated ability in moving HPC applications onto new platforms and in evaluating performance on node and at scale.
Location: Hybrid in either our Austin, TX or Minneapolis, MN offices (or willing to relocate) preferred but Remote considered for exceptional candidates.
As part of a software-defined hardware company, you will play a pivotal role in driving new software features based on your analysis of customer-defined applications and measuring the resulting performance improvements. This role stands on the edge of computer science/architecture and scientific applications which span a wide range of fields, including but not limited to graph algorithms, sparse computations, weather prediction, seismic imaging, genomics, molecular dynamics, quantum chemistry, and computational fluid dynamics. If you have a passion for science, a knack for solving complex problems, and thrive in a bleeding-edge multidisciplinary environment, we want to hear from you!
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
  • A strong parallel programming experience using both MPI and OpenMP is required
  • Hands-on experience with development in one or more HPC application domains
  • Hands-on experience with one or more AI/ML frameworks, such as PyTorch
  • Proficiency in C/C++ and/or Fortran
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Expertise in competitive performance analysis is strongly preferred
  • Willingness to travel as necessary
  • US citizenship with eligibility to visit US government research facilities

Responsibilities
  • Profile and identify bottlenecks of a wide range of HPC applications on different architectures
  • Develop creative algorithmic and software solutions to solve bottlenecks and accelerate applications on a novel dataflow architecture
  • Translate application requirements into software features and hardware requirements
  • Develop performance models for future hardware architectures

Apply