Job title: Head of Software Testing
Employment status: Full-time
Location: Vienna, Austria – Hybrid
Compensation: Competitive compensation + performance-based bonus and equity options
Benefits: Wiener Linien ticket, yearly company retreat, regular team events, free in-office lunch, drinks & snacks

About Ketryx

At Ketryx, we’re on a mission to help medical software teams build secure, reliable applications that make a real difference in people’s lives. We give them the tools to automate the tough parts of compliance and quality so they can focus on what matters most: creating life-saving products with confidence.

The Role

As Head of Software Testing, you’ll define and execute our quality strategy, ensuring that every release of our platform meets the highest standards of safety, reliability, performance, and compliance. You’ll lead a talented team of software quality engineers, testing product features and strengthening our automated testing frameworks, and play a vital role in helping medical device companies bring high-quality technology to market faster. As a quality professional, you will have an impact on our own product that you will also use on a daily basis.

About You

You’re a proven leader in software quality who knows how to build high-performing teams and scalable testing systems. You combine a deep passion for reliability with strong communication skills and a collaborative mindset. You’re detail-oriented, enjoy uncovering edge cases, and take pride in building reliable, maintainable automated tests. You thrive in fast-moving environments where you can influence processes, improve standards, and shape product direction. Above all, you’re motivated to apply your expertise to technology that directly improves patient outcomes.

Ideally you're already located in Vienna or able to relocate quickly. Unfortunately, we are unable to support people without an existing work permit for this position in Austria at this time.

What You’ll Do

• Lead and grow the quality engineering team
• Plan and coordinate verification & validation for software releases and other testing activities
• Drive scaling up of automated testing with a team using Playwright, TypeScript, Cucumber
• Work with the team to keep CI/CD pipelines fast and reliable
• Coordinate work between different teams such as Engineering, DevOps, Product, Customer Success, and Sales, representing the quality and test engineering team
• Own verification & validation for software releases
• Apply quality principles at scale
• Perform risk management
• Prepare and field audits (IEC 62304 & co.)
• Champion a quality-first culture across product and engineering
• Define, track, and share goals and metrics for test automation & product quality, to keep leadership and stakeholders informed and to identify areas for improvement

What We’re Looking For

Must-Haves

• Extensive experience (10+ years) in software quality and testing, with at least 5 years in leadership
• Experience in a high-growth company
• Experience in establishing and running processes to improve overall quality
• Hands-on experience with TypeScript or JavaScript
• Practical experience with test automation tools such as Playwright or Cypress
• Strong knowledge of software QA methodologies, tools, and processes
• Familiarity with BDD practices, ideally using Cucumber
• Experience working in an early stage, product-based start up.

Nice-to-Haves

• Experience preparing for and managing audits
• Experience working in a regulated industry such as MedTech, healthcare, finance, automotive, or aerospace
• Experience using test case management tools such as Xray, TestRail, Azure DevOps, or HP ALM
• Experience with performance and security testing
• Knowledge of ISO 13485 / IEC 62304

Compensation & Benefits

• At Ketryx, we offer a competitive compensation package that reflects your experience and skills. The annual gross salary starts at €100,000+ based on an all-in contract. Final compensation is tailored to your qualifications and experience.
• In addition to the base salary, our package includes a performance-based bonus and stock options, aligning your success with the company’s growth.
• Lunch, snacks, and coffee provided in-office
• Annual Wiener Linien public transportation pass
• Yearly company retreat and regular team events

Keywords: quality lead, test automation engineer, QA, Verification & Validation, V-Model, change request, change requirement, regulation, feature descriptions, SaaS, customer feedback, computer science, comp sci, startup, software development, Series A, Series B, technology, software

The Role

The Researcher in Quantum Machine Learning or Quantum Information will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

The Researcher in Quantum Machine Learning plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Applied Researcher should expect to work in one and supporting in the other areas of the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Exploring state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning or quantum information.

• Currently pursuing or recently completed a degree in computer science, physics, mathematics,
  or equivalent subject
• Experience in one or more quantum programming languages (Qiskit, Pennylane, Cirq, etc.)
• Experience working with variational quantum algorithms for machine learning
• Experience working with classical machine learning algorithms
• Basic knowledge in Python, Pytorch and TensorFlow
• Experience in working with QPUs is optional
• Familiarity with quantum information theory is optional
• Familiarity with Tensor-Network techniques is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.