Graphene Photonics Data Analyst (f/m/d)

Blacksemiconductor
Aachen, Germany
Hybrid

Who this role is best for

A natural match if you have experience with semiconductor characterization and data infrastructure.

Best fit for

  • Candidates with a background in device physics and experience scaling data analysis tools for production.
    — “transition from R&D to high-volume production
  • Individuals who have developed end-to-end software pipelines and are comfortable with statistical process analysis.
    — “proven track record of designing, developing, and owning a software pipeline or technical project end-to-end
  • People with a strong foundation in semiconductor and photonics technologies, and a passion for building high-quality software.
    — “Strong Python skills and a genuine passion for building high-quality software

Things to consider

  • The role demands a high level of responsibility in transitioning R&D tools into production-ready systems.
    — “Define standardized analysis protocols and transition mature R&D code into robust, production-ready tools
  • Candidates must be prepared to work closely with laboratory and fab instrument interfaces.
    — “ability to work with laboratory or fab instrument interfaces

How to stand out

  • Highlight your experience with statistical analysis and parameter extraction from experimental data.
    — “Experience with statistical analysis, model fitting, and parameter extraction
  • Showcase your ability to build and maintain scalable data infrastructure.
    — “Build and maintain reliable, scalable data infrastructure
  • Emphasize your track record in owning and evolving analysis software suites.
    — “Own and continuously improve our characterization analysis software suite
  • Demonstrate your ability to correlate data with process parameters and provide actionable insights.
    — “Correlate characterization results with process parameters, closing the loop between measurement and process control
  • Show your experience integrating analysis outputs with manufacturing execution systems.
    — “Integrate analysis outputs with fab MES and data systems to enable real-time process feedback
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • own and improve analysis software suite
  • develop new analysis methods
  • build and maintain data infrastructure
  • ensure data integrity and accuracy
Typical background
data sciencephysicsengineering

Skills & requirements

Required

PythonData AnalysisData InfrastructureStatistical AnalysisModel FittingParameter ExtractionData Visualization

Preferred

Graphene PhysicsPhotonics

Stack & domain

PythonData SciencePhysicsSemiconductor DevicesPhotonics

About the role

Original posting from Blacksemiconductor via Ashby

About us

We see the semiconductor industry as a realm of possibility. We see opportunity. We see the profound impact that our graphene solutions will have in transforming the industry. We invite you to join us in driving change with our fundamentally human-centered approach, uniting bright minds around a shared vision. The vision is: Prove to everybody that you can make a fundamental change. Prove with your knowledge and skills how things can be done differently. Together, we can change the paradigm of how the world connects

About our technology

The semiconductor industry’s growing demand for more powerful chips with higher bandwidth and lower power finds its solution in our technology. We connect chips to high-throughput, low-delay computing networks. The key lies in harnessing the physical properties of graphene to combine electronic computing with photonic communication, allowing countless chips to interact almost as if they were one. Our graphene photonic innovation increases computing power and efficiency to a new order of magnitude

In short, we connect chips to create powerful and energy-efficient networks, overcoming connectivity limitations in the semiconductor industry. We deliver the graphene solution

The Role

As a Graphene Photonics Data Analyst, you will transform complex characterization data into reliable insights that guide device design, process development, and manufacturing decisions. You will own and evolve our analysis software and data infrastructure, develop new methods for emerging experiments, and help scale our analytical capabilities as we transition from R&D to high-volume production.

To join our team, you should be excited to:

  • Own and continuously improve our characterization analysis software suite
  • Develop new analysis methods as experiments and measurement capabilities evolve
  • Build and maintain reliable, scalable data infrastructure
  • Ensure the integrity, accuracy, and traceability of analysis outputs
  • Turn raw measurement data into actionable insights for process and design decisions
  • Extract device parameters from measured data and benchmark results against physical and compact models
  • Perform statistical process and yield analyses to identify trends, correlations, and outliers across wafers and lots
  • Correlate characterization results with process parameters, closing the loop between measurement and process control
  • Integrate analysis outputs with fab MES and data systems to enable real-time process feedback
  • Define standardized analysis protocols and transition mature R&D code into robust, production-ready tools
  • Optimize analysis pipelines for throughput and scalability as we move toward high-volume production

Your Qualifications

  • An M.S. or PhD in Data Science, Physics, or another relevant technical discipline
  • At least two years of relevant industry or research experience; a related PhD project
  • Strong Python skills and a genuine passion for building high-quality software
  • A proven track record of designing, developing, and owning a software pipeline or technical project end-to-end
  • A solid foundation in device physics, including solid-state physics, semiconductor devices, and photonics
  • Experience with statistical analysis, model fitting, and parameter extraction
  • Experience with data visualization and tracking trends across wafers, lots, or manufacturing processes
  • The ability to work with laboratory or fab instrument interfaces

Our work culture

People Over Processes. At Black Semiconductor, flexibility is key—we ensure work adapts to life, not the other way around. We champion work-life harmony, where careers are meaningful and enriching. Our processes are human-centric, allowing you to focus on what matters

Let’s grow together. Your potential is our priority. We provide the autonomy to make a lasting impact and nurture your growth through a culture of continuous learning. We invest in your journey for professional and personal development

Your Health and Future Matter. Your well-being is paramount. We offer a comprehensive benefits package with outstanding insurance, pension and virtual stock options for your mental, physical, and financial health. Your peace of mind is our priority - in the present and future

We Live Openness. Collaboration and inclusivity are the cornerstones of our culture. We practice openness, fostering trust and respect. Individuality is our collective strength, fueling innovation and driving us forward

We connect chips – and people. We encourage qualified individuals from any background to apply. We foster an inclusive and supportive work environment that values collaboration, innovation, and growth. Join our team and be part of an organization dedicated to making a difference in the industry

Can you picture yourself in this Role and our Company? Let’s connect!

If your application results in an employment relationship, your Applicant Data will be transferred to our personnel records and processed in accordance with applicable legal requirements; otherwise, your Applicant Data will be retained for up to six (6) months after completion of the recruitment process. Read more about our privacy policy here. https://www.blacksemi.com/privacy-policy

Source: Blacksemiconductor careers (Ashby)

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