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Phd Python Jobs in Michigan (NOW HIRING)

Rydberg Technologies

AMO Physicist

Ann Arbor, MI · On-site

... programming (Python, C/C++) and signal processing, high proficiency in engineering design ... Qualifications: PhD in atomic, optical, quantum physics, applied physics and engineering, or ...

Cognizant

Software Research Engineer - C++

Warren, MI · On-site

Required : • MS or PHD (preferred) in Computer Science, Computer Engineering, Electrical Engineering or equivalent • C++ Development • Algorithm Development and Optimization • Python • ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Strong programming experience in Python and/or C++ * Hands-on experience with machine learning ... Master's degree or PhD in AI, Robotics, or a related discipline * Experience with ROS / ROS2 and ...

Eccalon LLC

AI Expert- Software

Detroit, MI · On-site

Strong programming skills in Python and at least one additional language (Java, C++, or JavaScript ... Master's degree or PhD in AI, Machine Learning, or a related discipline. * Experience working with ...

SiTime Corporation

MEMS Engineer II

Dexter, MI · On-site

$93K - $128K/yr

PhD preferred. Exceptional candidates with other technical backgrounds will be considered ... Proficiency in MATLAB or Python for data analysis * Strong hands-on RF lab skills * Strong written ...

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Phd Python information

What Python jobs are in-demand?

Python developers are in high demand across industries such as technology, finance, healthcare, and data science. Common roles include data scientist, machine learning engineer, backend developer, and automation engineer, often requiring knowledge of frameworks like Django or Flask and proficiency in data analysis tools. These positions typically value strong programming skills, problem-solving ability, and experience with cloud platforms and version control systems.

Can we do PhD in Python?

A PhD in Python typically refers to research involving Python programming language, often in fields like computer science, data science, or artificial intelligence. While there is no formal PhD in Python itself, students pursue doctoral degrees in related areas and use Python as a primary tool for research and development. Earning a PhD requires completing original research, coursework, and a dissertation in a relevant field, with proficiency in Python being a valuable skill for data analysis, machine learning, and software development.

What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

Is Python in high demand?

Python is in high demand across many industries, especially for roles involving data analysis, machine learning, web development, and automation. Python developers with skills in frameworks like Django or Flask and experience with libraries such as Pandas or TensorFlow are highly sought after in the job market.

What is the highest paying job in Python?

The highest paying jobs involving Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or PyTorch. These positions can offer salaries exceeding $150,000 annually, especially with experience, certifications, and work in finance, tech, or research environments.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
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What job categories do people searching Phd Python jobs in Michigan look for? The top searched job categories for Phd Python jobs in Michigan are:
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Phd Python jobs near you
Senior Autonomy Software Systems Engineer (Python / C++ / Data)

Senior Autonomy Software Systems Engineer (Python / C++ / Data)

Torc Robotics

Ann Arbor, MI • On-site

$119K - $158K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. They are seeking a Senior Autonomy Software Systems Engineer to build data pipelines, process large datasets, and develop tools that impact the evaluation and improvement of autonomous systems.
Responsibilities:
• Build and maintain Python-based data pipelines to ingest, process, and analyze large-scale autonomy datasets
• Develop tools to extract and manipulate data from cloud-based storage systems (AWS, GCP, etc.)
• Work with HD/SD map data, vehicle telemetry, and simulation outputs to support autonomy workflows
• Write performant and scalable code for data processing, transformation, and analysis
• Collaborate with systems, mapping, and AI/ML teams to support data-driven decision making
• Develop scripts and tools to support scenario generation, ODD analysis, and validation workflows
• Optimize data workflows for performance, scalability, and reliability
• Contribute to system-level debugging by analyzing data and identifying root causes of issues
• Support integration of data pipelines into broader autonomy and validation systems
Qualifications:
Required:
• BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Computer Science, Software Engineering, Robotics, or related field
• Strong proficiency in Python for production-level development
• Experience working with large-scale datasets and data processing systems
• Experience with cloud environments and distributed data systems (AWS, GCP, Azure)
• Familiarity with SD/HD maps, geospatial data, or spatial data processing
• Experience writing clean, maintainable, and scalable code
• Strong debugging and problem-solving skills in complex systems
• Experience working in cross-functional engineering environments
Preferred:
• Experience with C++ in production systems
• Experience working with autonomy, robotics, or mapping systems
• Experience with data pipelines, ETL systems, or ML data workflows
• Exposure to ROS/ROS2 or similar robotics frameworks
• Experience with containerization (Docker) and distributed compute systems
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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