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- Tasks: Design and develop scalable software for cutting-edge AI-driven engineering solutions.
- Company: Pioneering startup reshaping engineering with Foundational AI models.
- Benefits: Competitive salary, ownership in projects, and a chance to work with industry veterans.
- Other info: Join an elite team in a culture of integrity and continuous learning.
- Why this job: Make a real impact on sustainable energy and efficient transport innovations.
- Qualifications: 5+ years in full-stack development, strong Python skills, and cloud experience.
The predicted salary is between 60000 - 80000 ÂŁ per year.
BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world’s hardest physical engineering challenges in automotive, aerospace, and energy.
The Role
You’ll be responsible for contributing to the design, development, and scaling of the core software components powering our Generative Physics platform. This is a hands‑on role where you’ll drive the development of our product into a robust, scalable platform, integrating cutting‑edge machine learning models, simulation tools, and a seamless user interface. Success in this role translates to delivering a tangible foundation that allows our development partners to experience the full potential of our AI‑driven design approach.
Responsibilities
- System Architecture Design: Architect and implement a scalable, cloud‑native software platform capable of handling the complexities of large‑scale engineering data, AI‑driven simulations, and seamless user interactions. Prioritise maintainability, testability, and extensibility in design choices.
- Data Pipeline Engineering: Design and build robust, high‑throughput data pipelines to manage large volumes of engineering data. Ensure efficient data ingestion, transformation, storage, and retrieval from both internal simulations and external partner tools.
- Cloud‑Based Scalability, Reliability, and Security: Leverage cloud technologies (AWS) to achieve system scalability, ensuring high availability, fault tolerance, and data security. Implement best practices for cloud infrastructure management and cost optimisation.
- Simulation Tool Integration: Develop APIs and interfaces to seamlessly integrate with a variety of engineering simulation tools and pipelines, both internally developed and from external partners.
- AI‑Powered Design Tool Innovation: Collaborate with ML engineers and development partners to design and build the next generation of AI‑powered engineering design tools.
- Technical Leadership and Mentorship: Provide technical guidance and mentorship to other software and ML engineers. Foster a culture of continuous learning and best practices within the engineering team.
Essential Requirements
- Education: Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or a related field.
- Development Expertise: 5+ years of proven experience with full‑stack software development, including front‑end and back‑end technologies. Strong Python proficiency is essential.
- Cloud Technologies: Experience working with cloud platforms (AWS) and containerisation (Kubernetes, Docker).
- Leadership & Communication: Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross‑functional teams.
Highly Desirable
- Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.).
- CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus.
Why Join Us?
- Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry.
- High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport.
- Elite Team: Work alongside veterans from world‑leading AI labs and engineering firms in a culture of "impact with integrity."
Software Engineer employer: BeyondMath
Contact Detail:
BeyondMath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and software development. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Software Engineer. Highlight your experience with full-stack development, cloud technologies, and any relevant projects that showcase your skills in Python and AI-driven solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about reshaping engineering with AI. Mention specific experiences that align with our mission at BeyondMath and how you can contribute to our innovative team.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include examples of projects where you've designed scalable systems or integrated machine learning models. This will help us see your hands-on experience and technical leadership potential.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at BeyondMath
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and cloud platforms like AWS. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in software development, particularly in areas like data pipeline engineering or system architecture design. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Mission
Familiarise yourself with BeyondMath's mission to reshape engineering through AI. Be prepared to discuss how your experience aligns with their goals, especially in terms of developing scalable solutions and integrating machine learning models.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current projects, the team dynamics, or how they envision the future of AI in engineering. This shows you're not just looking for a job, but genuinely interested in contributing to their mission.