At a Glance
- Tasks: Lead the design and simulation of innovative photonic components for AI/ML networking.
- Company: Join Oriole Networks, a pioneer in sustainable photonic technologies.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on sustainability and innovation.
- Why this job: Be at the forefront of revolutionising data centres with cutting-edge technology.
- Qualifications: PhD in Physics and 3+ years in the Photonics industry required.
The predicted salary is between 60000 - 80000 £ per year.
At Oriole Networks, we are developing disruptive technologies for AI/ML and HPC networking that will revolutionise Data Centres. These technologies will speed up training and inference while dramatically reducing energy consumption for a sustainable future.
Key Responsibilities
- Drive the design and simulation activity of passive and active components within the Oriole PDK.
- Lead the design customisation of high performance photonic building blocks within a commercial foundry PDK.
- Work collaboratively within the Oriole PIC team on mask layout and support tape‑out cycles into a commercial foundry.
- Compose, analyse and deliver design specifications and other documentation within the Oriole Photonics supply chain.
- Support collaborative activities between Oriole and its suppliers.
- Provide analysis and drive parts of Oriole's technology roadmap.
- Drive Test development and data analysis activities.
Essential Skills
- PhD in Physics with a focus on Photonics, Semiconductors or Optical Networks.
- +3 years of relevant professional experience in Photonics Industry or academia.
- Strong simulation skills in photonics (FDTD, EME) and hands on experience with commercial relevant software.
- In depth knowledge of device physics and design of III‑V semiconductor optical devices such as lasers, optical amplifiers, modulators and detectors.
- In depth understanding of photonic process integration and understanding of processing limitations on PIC performance (principles of design for manufacture).
- Hands on experience with III‑V epitaxial layer design using commercial or self‑developed tools.
- Experience on designing high speed optical devices such as modulators and detectors for high baud rates and multi‑level modulation formats.
- Strong Layout/Mask Design skills using commercial photonic layout tools (e.g. Synopsys, GDS Factory, Nazca, KLayout).
- Good understanding of Photonic device manufacturing principles, Design for manufacture, Design for test and reliability.
- Strong programming skills (preferably Python), and familiar with version control methodology.
Desired Skills
- Photonic device characterisation, hands on experience with testing methodologies for wafer level and die level test.
- High speed RF design characterisation.
- RF simulation experience is a plus.
- Use of ML/AI methodologies or other computational optimisation techniques in photonic design simulations a plus.
- Good understanding of Optical networks and Applications of photonics for AI in data centres.
- Good understanding of PIC parameter impact on system performance (e.g. such as BER, link budget, power penalties etc), any system modelling experience is a plus.
- Excellent communication and presentation skills, team working.
- Good understanding of photonics industry trends for AI (new materials).
Senior PIC Design Engineer in London employer: Oriole Networks Ltd
At Oriole Networks, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that empowers our employees to drive groundbreaking advancements in AI/ML and HPC networking. Located in a vibrant tech hub, we offer competitive benefits, continuous professional development opportunities, and a commitment to sustainability, making it an ideal environment for those passionate about pushing the boundaries of photonics technology while contributing to a greener future.
StudySmarter Expert Advice🤫
We think this is how you could land Senior PIC Design Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oriole Networks Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior PIC Design Engineer at Oriole Networks Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oriole Networks Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior PIC Design Engineer at Oriole Networks Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior PIC Design Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oriole Networks Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oriole Networks Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oriole Networks Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oriole Networks Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.