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Scientific Computing Jobs in Michigan (NOW HIRING)

Varsity Tutors

Python Tutor

Detroit, MI · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Kalamazoo, MI · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Ann Arbor, MI · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103.30K - $141.80K/yr

... cloud computing or on-prem technologies • Design and lead development on scalable, high ... Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ...

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How much do scientific computing jobs pay per hour?

As of May 29, 2026, the average hourly pay for scientific computing in Michigan is $27.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $35.00 per hour, depending on experience, location, and employer.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.
More about Scientific Computing jobs
What are the most commonly searched types of Scientific Computing jobs in Michigan? The most popular types of Scientific Computing jobs in Michigan are:
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What job categories do people searching Scientific Computing jobs in Michigan look for? The top searched job categories for Scientific Computing jobs in Michigan are:
What cities in Michigan are hiring for Scientific Computing jobs? Cities in Michigan with the most Scientific Computing job openings:
Scientific Computing jobs near you

Quantum Algorithm Engineer

Sygaldry Technologies

Ann Arbor, MI • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
Sygaldry Technologies is focused on bridging the gap between quantum algorithms and real-world quantum hardware. The Quantum Algorithm Engineer will develop efficient quantum software solutions, optimize quantum circuits, and contribute to the internal quantum software infrastructure for scalable quantum computing workflows.
Responsibilities:
• Implement and optimize quantum circuits for efficient execution on target hardware architectures
• Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits
• Profile and benchmark circuit performance, identifying bottlenecks and driving improvements
• Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations
• Contribute to the development of internal quantum software infrastructure and tooling
Qualifications:
Required:
• An MS in physics, computer science, mathematics or a related field
• Strong software engineering skills, with experience in scientific computing environments (Python, C++, or similar)
• Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent)
• Understanding of quantum gate sets, circuit compilation, and hardware constraints
• Proven ability to deliver robust, maintainable code in a collaborative team environment
• Excellent written and verbal communication skills
Preferred:
• Knowledge of quantum error correction codes and fault-tolerant circuit synthesis
• Experience with noise modeling, error mitigation techniques, or hardware-aware compilation
• Familiarity with classical HPC or distributed computing as applied to quantum simulation
• Track record of contributions to open-source quantum software projects
Company:
Sygaldry Technologies is a tech company building quantum-accelerated AI servers to exponentially speed up AI training and inference. Founded in 2024, the company is headquartered in Mountain View, USA, with a team of 11-50 employees. The company is currently Early Stage.

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