Luminary
luminary.ai
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Overview
Luminary (Luminary Cloud, Inc.) is a computer-aided engineering and enterprise AI platform headquartered in San Mateo, California. Founded in 2022 by Jason Spreti and Srinath Srinivasan, the company develops a "Physics AI" simulation platform that integrates large physics models (LPMs) with high-performance computing (HPC) cloud infrastructure. Luminary enables aerospace, automotive, defense, and industrial engineering teams to train AI models on fluid dynamics, structural mechanics, thermal fields, and electromagnetics.
News
Jeff Bezos plans to invest $100 billion to bring AI to factories. Here's what it means for jobs
Jeff Bezos is trying to leapfrog into the artificial intelligence race with a $100-billion fund to acquire manufacturers and bring more AI superpowers to factory floors.
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Report
Jeff Bezos plans to invest $100 billion to bring AI to factories. Here's what it means for jobs
Jeff Bezos is trying to leapfrog into the artificial intelligence race with a $100-billion fund to acquire manufacturers and bring more AI superpowers to factory floors.
Read more
Report
Aerospace Perspectives Series: The Accelerating Pace of Physics AI Modeling and What It Means for the Aerospace Industry
During this webinar, Professor Alonso will describe the evolving landscape of artificial intelligence and machine learning methods as they relate to various applications in aerospace engineering, including design space exploration, optimization, uncertain
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Report
Aerospace Perspectives Series: The Accelerating Pace of Physics AI Modeling and What It Means for the Aerospace Industry
During this webinar, Professor Alonso will describe the evolving landscape of artificial intelligence and machine learning methods as they relate to various applications in aerospace engineering, including design space exploration, optimization, uncertain
Read more
Report
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Technologies
Tech DNA
Python
PyTorch
GCP
AI/ML
Python
PyTorch
CI/CD
GCP
Kubernetes
Diffusion Models
Fine-tuning
JAX
Other
Ansys HFSS
Stack modernity
76/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
4 jobs
Required
PyTorch
4 jobs
Required
GCP
1 job
Required
CI/CD
1 job
Required
Kubernetes
1 job
Required
Ansys HFSS
1 job
Required
Fine-tuning
1 job
Optional
JAX
1 job
Optional
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
CI/CD
15%
Kubernetes
14%
GCP
12%
PyTorch
7%
Fine-tuning
5%
Share of companies in the same industry that use each technology.
Stack changes
JAX
Aug 2026
Fine-tuning
Aug 2026
Diffusion Models
Aug 2026
Ansys HFSS
Aug 2026
PyTorch
Aug 2026
Python
Aug 2026
Kubernetes
Aug 2026
GCP
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
NVIDIA
PhysicsX
Normal Computing
Adobe
Canva
Citi
Growth
Hiring Momentum
58/100
Growing
Open positions
5
0 opened / 0 closed in 30 days
ATS activity
Every ~2 days
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
100% ▼
Activity Timeline
Added JAX to stack
Aug 2026
Added Fine-tuning to stack
Aug 2026
Added Diffusion Models to stack
Aug 2026
Added Ansys HFSS to stack
Aug 2026
Added PyTorch to stack
Aug 2026
Added Python to stack
Aug 2026
Added Kubernetes to stack
Aug 2026
Added GCP to stack
Aug 2026
Added CI/CD to stack
Aug 2026
Jobs
≈ $117k – $265k per year (Estimated) • In office • Full-Time • 5+ years exp • Master's Degree • San Mateo
Python
Diffusion Models
Fine-tuning
JAX
PyTorch
Apply
≈ $103k – $256k per year (Estimated) • In office • Full-Time • San Mateo
CI/CD
GCP
Kubernetes
Apply
≈ $115k – $252k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Mateo
Python
PyTorch
Chips/EDA
Ansys HFSS
Apply
≈ $115k – $252k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Mateo
Python
PyTorch
Apply
≈ $115k – $252k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Mateo
Python
PyTorch
Apply