Formal Methods Intern (DeltaQ paradigm)
As a Formal Methods Engineer at IO you act as a bridge between research, architecture and product, and development. You will develop formal artifacts as early as possible in the development process that grow with the project and continue to provide impact throughout into the late stages. You will develop and iteratively refine specifications, working towards high quality designs, prototypes and practical implementations. Your work will form part of the day-to-day quality assurance of production system development. In some projects, critical steps will be tested, or proven using appropriate formal frameworks and tools. In other projects, the expected performance of the resulting system will be modeled, so that the impact of design decisions on performance and stability can be assessed early on. Based on this process, you will provide feedback to the researchers. Finally, based on their specifications, designs, simulations and/or prototypes, you will advise and assist other development teams to implement and integrate their work into production systems.
As a member of the Formal Methods Chapter you will participate in knowledge sharing and continuous learning through interactions with Formal Methods Engineers across the company and more broadly with researchers and engineers as well.
Come help develop the DeltaQ paradigm which helps support requirements capture and refinement during design and development. You will work closely with researchers and practitioners to mechanize and scale the paradigm.
- Build formal artifacts from research and architectural guidance, and business and engineering requirements.
- Model the performance of formally specified systems
- Produce prototypes and simulations
- Refine specifications, using the performance models and simulations to gauge the impact of design decisions during refinements
- Discover new properties about the specifications and their implications
- Prove properties of the specifications and of the correctness of refinement steps
- Communicate with both researchers and developers, and act as a bridge between the two: you will provide feedback to researchers about issues that come up when their work is incorporated into real world systems. You will assist developers in understanding your specifications and in turning them into production code
- Report on your work, in the form of blog posts, technical report documents, presentations at internal seminars, as well as at workshops and conferences, and/or by contributing to academic papers
- Participate in code reviews
- Contribute property-based tests, both for testing properties of the executable specifications/prototypes, and for verifying production code against the executable specifications
- Contribute to the implementation, extension, and maintenance of custom static analysis tooling
- Work in an international team across multiple time zones
- Break down large and complex tasks assigned to you into workable items, and work on them independently
- Share specialized knowledge with other team members
- Deep thinking, problem solving
- Ability to understand and translate overview of complex ideas and break it down simply for yourself and others
- Software engineering skills
- Bridge between research and engineers
- Translate and reshape information for the coders to understand properly
- Telling researchers when there is a discrepancy - feedback to research
- To be able to receive input from researchers thoroughly understand and translate information into final code
- Continuously brings fresh ideas to the mix
- Be versatile and enjoy a fast-paced, ever-changing environment
- Be a savvy problem solver
- Ability to explain complex concepts in documents and presentations
Education / Experience
- A higher degree in Computer Science or a related field or currently pursuing one
- Experience in a functional language, preferably Haskell
- Experience working and collaborating with Git
- Prior experience with theorem provers or model checkers would be a bonus
- Experience in one or more of the domains we are working in -- networking, distributed systems, programming language design, blockchain applications -- would be a bonus.
- Demonstrated ability to work on difficult problems in a self-driven way
- Good working knowledge of probability and statistics is critical
LocationIOG is a fully distributed organization, and therefore, this is a remote position. Due to team distribution, we are ideally searching for someone in Ireland or the UK.