High level pitch to candidates about Luminary:

• We are the leading Physics AI company and operating in an exciting space
• To get there, we have…
• • Built incredible cloud-native, massively scalable simulation technology
  • Discovered that we are uniquely positioned to solve the customer pain around running many (1000s) of high-fidelity simulations easily and quickly for multiple applications / industry verticals (data generation)
• We have a huge opportunity ahead of us in Physics AI by capitalizing on our ability to generate large simulation datasets for training and serving ML-based models
  
  
  

AI/ML Scientist | Luminary Cloud

Luminary Cloud is transforming how the world's most innovative companies generate vast amounts of CFD simulation data for Physics AI, design exploration, and optimization. Backed by Sutter Hill Ventures, our Series B startup is at the forefront of the transition to Physics-based AI through our scalable cloud platform.

Key Duties, Responsibilities, and Deliverables

• Develop and productize novel machine learning approaches for physics-based simulation problems including CFD, structural analysis, and thermal simulation.
• Deliver measurable value by addressing customer pain points in engineering simulation through innovative ML solutions.
• Work with vast amounts of heterogeneous data from physics-based models to extract insights and build predictive capabilities.
• Translate research concepts into production-ready capabilities that enable new product features and customer value.
• Collaborate with cross-functional teams focusing on customer-centric problem solving, balancing research innovation with practical implementation.
• Deploy machine learning models in production environments using frameworks like PyTorch, TensorFlow, or JAX.
• Initiate, develop, and conclude complex projects with clear business impact and measurable outcomes.
• Write production-level code with velocity while maintaining scientific rigor and reproducibility.

Expertise and Qualifications

• Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Physics, Aerospace/Mechanical Engineering, or related disciplines.
• Ideally 5+ years of industry experience delivering ML-based systems with a track record of successful deployment.
• Demonstrated experience solving real customer problems through machine learning solutions.
• Strong programming skills in Python required, with additional experience in C/C++ or Go preferred.
• Experience with ML frameworks including PyTorch, TensorFlow, or JAX, and deploying models in production environments.
• Proven ability to work with large-scale, heterogeneous datasets from complex engineering systems.
• Evidence of customer-focused thinking and ability to translate technical capabilities into business value.
• Strong project management skills with ability to drive complex technical projects to completion.

Background and Experience

• Physics & Engineering Focus: Passion for applying computational physics and machine learning to solve real-world engineering challenges. Deep understanding of how ML can transform traditional simulation workflows.
• Research to Product: Experience translating research concepts into production-ready capabilities, with careful balance between research innovation and shipping product.
• Customer Impact: Track record of successfully deploying machine learning solutions that solve real customer problems, with evidence of measurable business impact and value creation.
• Technical Excellence: Hands-on approach with ability to write code with velocity while maintaining high standards for scientific accuracy and reproducibility.
• Collaborative Culture: Clear communicator with a collaborative mindset, thriving in cross-functional teams where technical innovation meets customer needs.

In-Office Commitment: Enthusiastic about being in-office 5 days a week, contributing to our collaborative research and development environment where physics meets AI innovation.