Pinepeak
Computational Wildfire Engineer (Fixed Term)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job title: Computational Wildfire Engineer (Fixed Term)
Are you passionate about climate solutions and ready to join the development of next-generation wildfire prediction technology in a venture-backed startup?
About us
We are a University of Cambridge spin-out on a mission to make communities safer and more climate-resilient with next-generation wildfire modelling and analytics. We combine high-performance, physics-based, AI-enhanced wildfire simulation with probabilistic modelling, weather, and climate data to deliver transparent and defensible insights across landscapes worldwide.
The role
We are seeking a Computational Wildfire Engineer to develop and improve the core wildfire spread model behind our products. You will work hands-on in C++ and Python, build complex data pipelines, and turn physical and mathematical ideas into accurate, fast and robust software. You will join a diverse, interdisciplinary team and work closely with our founders, academic advisers, engineers, scientists, and customers.
Your responsibilities include:
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Develop, run, and analyse complex wildfire simulations.
- Scale and refine our simulator through new physical and mathematical models, careful validation, and performance optimisation.
- Build data pipelines and workflows for experimentation, calibration, and validation.
- Communicate results clearly, both internally and directly to customers
This role is for you if
You are a well-rounded scientific engineer who enjoys moving between physics, algorithms, and detailed code. You may come from a mechanical, aerospace, civil, environmental, computational, or other physics-led engineering discipline. We are also open to candidates from physics, applied mathematics, or meteorology with a strong engineering mindset. You have excellent attention to detail, care about assumptions and edge cases, and want to develop modelling ideas as well as production-quality software. You enjoy solving problems, learning new tools and techniques, and working in a collaborative, fast-paced environment. You take ownership of your work and want to see it make a tangible impact on climate resilience and emergency response.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Key technical skills:
- Strong C++ and Python programming skills for scientific computing
- Experience developing and validating physics-based numerical models, particularly in computational fluid dynamics, combustion, heat transfer, atmospheric dynamics, meteorology, weather forecasting, or stochastic simulation
- Familiarity with statistical analysis, probabilistic modelling, and uncertainty quantification
- Familiarity with geospatial data processing and complex environmental datasets
- Familiarity with Git/Github-based software version control
- Parallel computing / HPC, GPU acceleration, or CUDA experience is desirable
Location: Hybrid (London, UK)
We work two days per week from our Central London office and the remaining three days remotely.
Right to work
Applicants must have the right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this position.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills