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- Tasks: Build cutting-edge AI tools for scientific discovery and climate change solutions.
- Company: Orbital is at the forefront of AI-accelerated scientific research.
- Benefits: Enjoy a competitive salary, equity package, private healthcare, and flexible time off.
- Why this job: Join a mission-driven team transforming science with AI while working in a hybrid environment.
- Qualifications: 3+ years as a full-stack engineer; expertise in Python and JavaScript frameworks required.
- Other info: Work closely with scientists to innovate and scale crucial technologies for energy transition.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Full Stack Software & AIEngineer role at Orbital
Join to apply for the Full Stack Software & AIEngineer role at Orbital
The Role
We are looking for a full-stack software engineer to build the next generation of scientist-centred AI tools for accelerating scientific discovery, our understanding of the universe, and solving climate change. This is a hybrid role with 2 to 3 days at our London office.
The Role
We are looking for a full-stack software engineer to build the next generation of scientist-centred AI tools for accelerating scientific discovery, our understanding of the universe, and solving climate change. This is a hybrid role with 2 to 3 days at our London office.
You’ll work closely with our computational and experimental groups to build agentic LLM tools which democratise the usage of Orbital Materials’ SOTA simulation models and work at the fore-front of AI-accelerated scientific research.
This role will be focused on delivering software which integrates frontier AI research into the workflow of scientists. This will involve designing and implementing front-end tools for novel interaction patterns with generative models, RAG, and scientific visualizations. This role will also design and build the back-end services which deliver agentic scientific workflows at scale, such as the orchestration of GPU-accelerated and traditional HPC workloads for atomistic simulation, and the processing of experimental data.
You will be working alongside the scientists who use these tools for every aspect of the materials discovery and technology development pipeline, and uniquely placed to guide the development of a new, AI-powered methodology for rapidly scaling crucial technologies for the energy transition.
Responsibilities:
- Design and implement full-stack web applications which expose cutting-edge scientific tooling to scientists
- Develop novel front-end interfaces which allow scientists to perform AI-accelerated research
- Develop back-end services which deliver AI-accelerated research, connecting diverse research tools, molecular simulations, physical lab equipment and LLMs
- Develop a suite of applications which provide utility to experimental chemists and integrate with central workflows
Skills & Experience:
- 3+ years of professional experience as a full-stack engineer
- A quantitative graduate degree
- Experience working with machine learning, LLMs, scientific tools/teams is a bonus
- Expert level experience with python and front-end javascript frameworks, react preferred.
What we offer
- Competitive base salary with AI sector
- Generous equity package
- Private Healthcare
- Pension
- Flexible and generous paid time off
- Regular team offsites and travel to US office
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Manufacturing
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Full Stack Software & AIEngineer employer: Orbital
Contact Detail:
Orbital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Software & AIEngineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially those related to scientific applications. Being able to discuss recent breakthroughs or tools during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and scientific research community. Attend relevant meetups, webinars, or conferences where you can connect with potential colleagues or mentors who might provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your technical skills through practical demonstrations. Consider building a small project that integrates front-end and back-end technologies, particularly focusing on AI tools or scientific applications, to highlight your capabilities.
✨Tip Number 4
Research Orbital's current projects and their impact on scientific discovery and climate change. Being knowledgeable about their work will allow you to tailor your discussions and show how your skills can contribute to their mission.
We think you need these skills to ace Full Stack Software & AIEngineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a full-stack engineer, particularly focusing on your work with Python and front-end JavaScript frameworks like React. Include any relevant projects that demonstrate your skills in AI tools and scientific applications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for scientific discovery and how your background aligns with the role's responsibilities. Mention specific experiences where you've developed software that integrates AI into research workflows.
Showcase Relevant Projects: If you have worked on projects involving machine learning or scientific tools, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Team Collaboration: Since the role involves working closely with scientists, emphasise any previous experiences where you collaborated with cross-functional teams. This could include working with researchers or engineers to develop software solutions.
How to prepare for a job interview at Orbital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with full-stack development, particularly in Python and JavaScript frameworks like React. Bring examples of past projects that demonstrate your ability to build both front-end and back-end applications.
✨Understand the Role's Impact
Familiarise yourself with how AI tools can accelerate scientific discovery and address climate change. Be ready to discuss how your skills can contribute to these goals and show your passion for the mission of the company.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios that relate to building scalable applications and integrating diverse research tools.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies used, and the company's vision for AI in scientific research. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
