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Topological Data Analysis Jobs (NOW HIRING)

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA

$150K - $186K/yr

Develop and maintain CAD modeling algorithms (editing brep data structures, developing topological ... Analyze code for performance and optimization opportunities as it relates to load times, memory ...

ICON

Mechanical Engineer II, Titan

Austin, TX · On-site

Compile and analyze operational, test, and research data to establish technical specifications for ... Professional experience with thermal and mechanical FEA, and topological optimization. Ansys or ...

Esri

Sr. Technical Consultant- Defense

Langley, VA

... analysis and data science, 3D visualization and analytics, data management, and developer APIs ... Knowledge in modeling and managing logical and topological network data * System administration ...

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Topological Data Analysis information

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$34K

$82.6K

$136K

How much do topological data analysis jobs pay per year?

As of Jun 30, 2026, the average yearly pay for topological data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Topological Data Analysis position, and why are they important?

To thrive in Topological Data Analysis, you need a strong background in mathematics (especially algebraic topology), statistical analysis, and data science, often supported by an advanced degree in math, computer science, or a related field. Proficiency with programming languages like Python or R, and familiarity with topological data analysis (TDA) tools such as GUDHI or Ripser, are highly valuable. Critical thinking, curiosity, and effective communication help you translate complex topological findings into actionable insights for interdisciplinary teams. These skills ensure accurate interpretation of complex data shapes and facilitate meaningful contributions to projects in fields like bioinformatics, finance, or machine learning.

What is a Topological Data Analysis job?

A Topological Data Analysis (TDA) job involves applying concepts from topology, a branch of mathematics, to analyze and extract insights from complex data. Professionals in this field use techniques like persistent homology and mapper algorithms to uncover hidden structures in high-dimensional datasets. They often work in industries such as bioinformatics, finance, and machine learning, helping to interpret data patterns that traditional methods might miss. TDA specialists typically have expertise in mathematics, data science, and programming, using tools like Python, R, and specialized libraries such as Gudhi or Ripser.

How does Topological Data Analysis typically collaborate with other departments or teams within an organization?

Professionals working in Topological Data Analysis often collaborate closely with data scientists, domain experts, and software engineers to translate abstract topological results into practical solutions. You may contribute to interdisciplinary research, provide insights during project planning meetings, and help interpret complex data structures uncovered through TDA methods. Regular communication and collaborative problem-solving are essential, as you’ll frequently explain technical concepts to non-specialists and incorporate their feedback into analysis workflows. This collaborative environment fosters innovation and ensures that TDA findings are effectively integrated into broader analytical and business strategies.

More about Topological Data Analysis jobs
What are the most commonly searched types of Topological Data Analysis jobs? The most popular types of Topological Data Analysis jobs are:
What states have the most Topological Data Analysis jobs? States with the most job openings for Topological Data Analysis jobs include:
What job categories do people searching Topological Data Analysis jobs look for? The top searched job categories for Topological Data Analysis jobs are:
Topological Data Analysis jobs near you
Infographic showing various Topological Data Analysis job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Quantum Materials MBE Engineer

Senior Quantum Materials MBE Engineer

Microsoft

West Lafayette, IN • On-site

$100K - $138K/yr

Full-time

Posted 25 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

55th of 202 rated software companies

Job description

Overview
At Microsoft Quantum, we aim to empower science and scientists to solve the world's biggest problems by realizing advanced computing platforms at the intersection of high-performance computing, artificial intelligence, and quantum information technology. Microsoft Quantum will change the world of computing and help solve some of humankind's currently unsolvable problems. For more information about our team, visit https://www.microsoft.com/en-us/quantum.
Microsoft Quantum is building the world's first scalable quantum computing system, with a full-stack approach spanning materials, devices, systems, and cloud services. Our hardware strategy is centered on topological qubits, which require sophisticated nanofabrication of hybrid semiconductor-superconductor devices with stringent control of interfaces, materials quality, and process integration.
We are seeking a Senior Quantum Materials MBE Engineer to develop and optimize MBE growth processes that enable high-quality quantum materials and devices. This role focuses on execution excellence, experimental rigor, and cross-functional collaboration, contributing directly to improvements in qubit performance and scalability.
You will work closely with experts in device physics, modeling, fabrication, and characterization in a fast-paced, interdisciplinary R&D environment.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Advanced Heterostructure Growth: Develop, implement, and optimize MBE growth recipes for semiconductor-superconductor heterostructures; Execute experiments to control interfaces, composition, strain, and defect density; Improve materials quality through iterative refinement of growth conditions and process parameters

  • Materials-Device Feedback & Experimentation: Design and execute data-driven experiments linking growth conditions to materials properties and device outcomes; Contribute to the growth → structure → properties → device feedback loop; Analyze and interpret experimental results to guide subsequent growth and process optimization

  • Tooling & Diagnostics: Operate and maintain UHV MBE systems and in-situ diagnostics (e.g., RHEED, spectroscopy); Support upgrades and improvements to MBE tools and measurement capabilities; Ensure reliable operation and high data quality from characterization tools

  • Cross-Functional Collaboration: Work closely with nanofabrication, characterization, theory, and device teams to align on process requirements; Communicate experimental results and materials insights clearly to diverse stakeholders; Support integration of materials advances into device fabrication flows

  • AI-Enabled Materials Development: Apply modern AI/ML tools to improve experiment planning, analysis, and optimization: Contribute to automation frameworks for data analysis and reporting

  • Other

    • Embody our culture and values.

Qualifications
Required Qualifications
  • Doctorate in Physics, Engineering, or related field AND 1+ year(s) experience in industry or in a research and development environment, could include completion of a post doctoral research position

    • OR Master's Degree in Physics, Engineering, or related field AND 4+ years experience in industry or in a research and development environment

    • OR Bachelor's Degree in Physics, Engineering, or related field AND 6+ years experience in industry or in a research and development environment

    • OR equivalent experience.
  • As stated in the job posting, this position requires verification of citizenship or other protected status to meet legal requirements of the role. If the role requires US citizenship, as indicated in the job description, a valid US passport must be provided to verify your citizenship. If the role requires US Person status, as indicated in the job description, US citizens must provide a valid US passport for verification while lawful permanent residents, refugees, and asylees may complete this verification using green cards or other status documents, as applicable.

Other Requirements
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

    • Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. § 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

  • Ability to leverage AI tools to drive innovation and efficiency (e.g., performance modeling and analysis, research gathering, day-to-day task automation).

  • Ability to work in an "AI-first" environment using modern AI tools to accelerate discovery through hardware development.

Preferred Qualifications
  • PhD in Physics, Materials Science, Materials Engineering, or related field AND 0-2+ years of experience in industry or advanced R&D
    • OR Master's degree AND 3-5+ years of relevant experience

  • Hands-on experience with:

    • Molecular Beam Epitaxy (MBE) or related thin-film growth techniques

    • Semiconductor or quantum materials systems

  • Experience designing and executing controlled experiments and analyzing data

  • Experience with semiconductor-superconductor hybrid materials or III-V semiconductors

  • Familiarity with low-temperature device characterization and materials-device correlations

  • Experience improving materials quality, interface control, or reproducibility

  • Proficiency with scientific programming and data analysis tools (e.g., Python)

  • Demonstrated ability to work effectively in interdisciplinary teams

#Quantum #QuantumCareers #MDQCareers
Quantum Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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