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Scientific simulation software developer

Wave Photonics
Software Developer
Posted: 8 May
Offer description

About us

At Wave Photonics, we are building a platform to enable and accelerate the development, mass production and adoption of integrated photonics technologies. Integrated photonics will be crucial in enabling a host of applications ranging from energy‐efficient communications, wearable healthcare sensors, rapid diagnostic tools, optical tensor processors, on‐chip LiDAR, quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques.

Founded in 2021, we have backing from great investors in Silicon Valley, the UK, and the EU, and are contributing to multiple projects funded by the UK's innovation agency, Innovate UK. We were also successful in winning a prestigious European Innovation Council Accelerator project to develop solutions for frontier applications of integrated photonics.

Role overview

This is an exciting opportunity to design, develop, test and maintain high‐performance, numerical software applications at Wave Photonics. In this role, you will be responsible for developing and maintaining the internal tools for physical simulations of light propagation (FDTD) and dealing with large data sets. You will play a crucial role in optimising how Wave Photonics' library of components is designed and created.

The ideal candidate will have strong expertise in design and implementation of fast numerical codes of physical phenomena. You will write clean, efficient, optimised and scalable code drawing on past experiences and software development best practices. You will have a say in product development and translate business objectives and product designs into high‐quality products delivered in a timely manner.

You will be attentive to detail, enthusiastic to tackle problems and develop innovative high‐performing solutions. You will bring a willingness and desire to learn, grow and stay on top of the latest technologies.

This role would involve collaborating with photonics engineers and other stakeholders to define and deliver high‐quality products that support the organisation's mission to unlock the potential of integrated photonics. You will have good communication skills and the ability to work with other teams.

You will be a core member of our small but growing team, contributing to key deliverables and milestones that drive our product development. You will be immersed in the fast‐paced environment of a start‐up that has ambitions to change the integrated photonics industry. We value enthusiastic people who bring a willingness to learn new things and challenge existing ideas.

Essential

* Practical experience in writing, developing, and maintaining physical simulation software.
* Experience in numerical discretisation of partial differential equations using FDTD, FEM or FVM.
* Strong background in statistics, probability, and Uncertainty Quantification (UQ).
* Experience with Julia or Python.
* Experience using low‐level programming languages (e.g. C/C++, Fortran, Rust)
* Practical experience with writing high performance numerical code.
* Proficient in data structures and algorithms.

Nice to have/ Beneficial

* Interest and experience in machine learning applied to physical simulations.
* Experience in working in HPC environment.
* Practical experience implementing Monte Carlo simulations and Bayesian optimisation.
* Experience with Polynomial Chaos Expansion (PCE) or similar advanced mathematical modelling techniques.
* Practical experience applying Machine Learning techniques to scientific, engineering, or physical problems.

Salary and compensation

* £50k - £60k pa., depending on experience.
* Company share options plan.
* Enhanced annual leave (25 days + bank holidays).
* In‐person working with flexible working options available where possible.

Equity, diversity, and inclusion are vital to our mission, and we strongly encourage people of all backgrounds and identities to apply.

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