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Algorithms Engineer Jobs in Minnesota (NOW HIRING)

Harris

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... algorithms, and system architecture. - Familiarity with modern software development tools ...

Vantive

Controls Engineer, Senior

Plymouth, MN · On-site

$102K - $135K/yr

In this role, you will develop, test, and verify control algorithms that help automate therapy ... Proficiency in one or more programming languages (C, C++, Java, Python, MATLAB), with the ability ...

Vantive

Controls Engineer, Senior

Plymouth, MN · On-site

$102K - $135K/yr

In this role, you will develop, test, and verify control algorithms that help automate therapy ... Proficiency in one or more programming languages (C, C++, Java, Python, MATLAB), with the ability ...

Vantive

Controls Engineer, Senior

Plymouth, MN · On-site

$102K - $135K/yr

In this role, you will develop, test, and verify control algorithms that help automate therapy ... Proficiency in one or more programming languages (C, C++, Java, Python, MATLAB), with the ability ...

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Showing results 21-40

All JobsAlgorithms Engineer JobsAlgorithms Engineer Jobs in Minnesota

Algorithms Engineer information

See Minnesota salary details

$52.4K

$128.6K

$189.5K

How much do algorithms engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for algorithms engineer in Minnesota is $128,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $144,500.00 per year, depending on experience, location, and employer.

How do algorithms engineers typically collaborate with other teams during the product development process?

Algorithms Engineers frequently work alongside cross-functional teams, including software developers, data scientists, and product managers, to ensure that algorithmic solutions are effectively integrated into products. They often participate in regular meetings to discuss requirements, share progress, and troubleshoot technical challenges. Close collaboration is essential, as algorithms must align with product goals and user needs, and Engineers may need to adjust models or optimizations based on feedback from testing or user data. This teamwork not only improves the final product but also provides valuable learning and growth opportunities for Algorithms Engineers.

What skills and qualifications are needed to thrive as an algorithms engineer?

To thrive as an Algorithms Engineer, you need a strong background in mathematics, computer science, and algorithm design, typically supported by a relevant degree. Proficiency in programming languages such as Python, C++, or Java, and experience with tools like MATLAB or TensorFlow, are commonly required, along with knowledge of data structures and optimization techniques. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and explaining complex concepts. These skills enable the development of efficient, scalable solutions that drive technological innovation and product performance.

What is an algorithms engineer?

Algorithms Engineers are professionals who design, analyze, and implement algorithms to solve complex computational problems efficiently. They often work in fields such as software development, artificial intelligence, data science, and computer vision. Their role involves optimizing code for speed and scalability, and collaborating with other engineers and researchers to develop new solutions. Strong skills in mathematics, programming, and problem-solving are essential for this job. Algorithms Engineers play a crucial part in making software systems faster, smarter, and more reliable.

What is the difference between Algorithms Engineer vs Data Scientist?

AspectAlgorithms EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentDevelops algorithms for software, hardware, or embedded systemsAnalyzes data to extract insights, build models, and inform decisions
Industry UsageTech, robotics, AI, and software development companiesFinance, healthcare, marketing, and tech sectors
Common Search/ComparisonFocuses on algorithm design and optimizationFocuses on data analysis and predictive modeling

Algorithms Engineers primarily develop and optimize algorithms for software and hardware systems, while Data Scientists analyze data to generate insights and build predictive models. Both roles require strong programming skills and a background in mathematics, but they serve different purposes within technology and data-driven industries.

What are the most commonly searched types of Algorithms Engineer jobs in Minnesota? The most popular types of Algorithms Engineer jobs in Minnesota are:
What are popular job titles related to Algorithms Engineer jobs in Minnesota? For Algorithms Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Algorithms Engineer jobs in Minnesota look for? The top searched job categories for Algorithms Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Algorithms Engineer jobs? Cities in Minnesota with the most Algorithms Engineer job openings:
Algorithms Engineer jobs near you
Infographic showing various Algorithms Engineer job openings in Minnesota as of July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $128,645 per year, or $61.8 per hour.

Staff HPC Applications Engineer

NextSilicon

Minneapolis, MN • On-site

Full-time

Posted 20 days ago

Job 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 Staff 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!


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

Requirements:
  • US citizenship and eligibility to visit US government research facilities
  • B.S. degree in a hard science, engineering, computer science, or a related field; M.S. or Ph.D. strongly preferred


  • Hands-on experience with development applications in one or more HPC domains, particularly scientific applications that run at rack or system scale
  • High level of proficiency in one of C/C++/Fortran and familiarity with the others
  • Extensive experience with node level and distributed parallel programming models and a working understanding of OpenMP, MPI in particular
  • Ability to measure application-level performance and profile HPC applications at the node level and at scale
  • Willingness to travel as necessary
  • Ability to work remotely and independently in a fast-paced environment with minimal direct supervision


Desired Skills:

  • Expertise in competitive performance analysis is strongly preferred
  • CUDA or similar GPU kernel languages
  • Hands-on experience with one or more AI/ML frameworks, such as pytorch