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AI/ML Scientist Lead Engineer

Luminary · San Mateo, CA, United States · On Site · Active · Rippling ATS

Job facts

FieldValue
CompanyLuminary
TitleAI/ML Scientist Lead Engineer
Normalized title-
Department / teamProduct Engineering
LocationSan Mateo, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerRippling ATS
Posted / first seen2026-04-02 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

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City jobsActive postings in San Mateo.Open
Department jobsActive postings in Product Engineering.Open
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Linked records

CompanyLuminary
Sourced0e4f0f8-3ac3-4025-84fe-26225ec1fd79
ATS providerRippling ATS

Description

company Luminary helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California. role The Role We're looking for a visionary Physics AI leader to drive our vision for Physics AI. This role is a player-coach who will lead the Physics AI team at Luminary, while contributing concrete ideas and product architecture to drive the delivery of Physics AI foundation models. The role is responsible for driving how Luminary changes customer engineering design workflows forever Responsibilities Develop Physics-AI Tooling: Architect and implement high-performance tools for physics-informed workflows, similar in scope and capability to NVIDIA Modulus/Physics-ML (formerly Physics-Nemo) , ensuring the delivery of models built off of synthetic data Foundation Model Research: Lead the development of large-scale foundation models for the physical sciences, inspired by the collaborative, cross-domain approach of initiatives like Polymathic AI . Architectural Innovation: Design and optimize specialized neural architectures for multi-scale physical systems, e.g. AB-UPT and related operator learning methods. Physics-Informed Machine Learning (PIML): Embed physical constraints (conservation laws, symmetries, and PDEs) directly into the loss functions and inductive biases of deep learning models to ensure physical consistency and data efficiency. Scalable Engineering: Collaborate with software engineers to deploy these models at scale within the Luminary Cloud platform, enabling real-time or near-real-time simulation for complex CFD/FEA problems. Leadership: Drive the deliverables of the physics AI team each quarter contributing to the larger Luminary platform Qualifications Required Masters degree or higher in Computer Science, Mechanical Engineering, Aerospace Engineering, or related field 5+ years of experience building production software or ML systems Experience with Physics Nemo models such as Domino and GeoTransolver Experience with Geometry processing, Meshing, and physics solvers a must Familiarity with developing LLM-powered applications a plus Strong proficiency in Python Proficiency using coding agents such as Claude Code Familiarity with Physics AI, CAE, or physics simulation domains a critical requirement Experience with distributed ML applications a big plus What we are not looking for Not looking for a pure manager for this role Not looking for someone who has no background in Physics

Full job record

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Org ID1853f183-e71d-4772-a2b4-7acccd0e77f4
Source IDd0e4f0f8-3ac3-4025-84fe-26225ec1fd79
Board IDd0e4f0f8-3ac3-4025-84fe-26225ec1fd79
Providerrippling
Provider Job Keycf35e7be-91f9-40f1-b054-d47427534f3c
TitleAI/ML Scientist Lead Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Mateo, CA, United States
DepartmentProduct Engineering
Team
Employment Typefull_time
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Remote Policy
CountryUnited States
RegionCA
CitySan Mateo
Salary Raw
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Source URLhttps://ats.rippling.com/luminarycloud/jobs/cf35e7be-91f9-40f1-b054-d47427534f3c
Apply URLhttps://ats.rippling.com/luminarycloud/jobs/cf35e7be-91f9-40f1-b054-d47427534f3c
First Seen At2026-05-29 07:12:51Z
Last Seen At2026-06-06 08:46:23Z
Last Checked At2026-06-06 08:46:23Z
Last Changed At2026-06-06 08:46:23Z
Inactive At
Source Posted At2026-04-02 23:57:13Z
Source Updated At
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The role is responsible for driving how Luminary changes customer engineering design workflows forever</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><hr><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><span style=\"color:rgb(0,0,0);font-size:16pt;white-space:pre-wrap;\">Responsibilities</span></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Develop Physics-AI Tooling:</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> Architect and implement high-performance tools for physics-informed workflows, similar in scope and capability to </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">NVIDIA Modulus/Physics-ML (formerly Physics-Nemo)</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">, ensuring the delivery of models built off of synthetic data</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Foundation Model Research:</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> Lead the development of large-scale foundation models for the physical sciences, inspired by the collaborative, cross-domain approach of initiatives like </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Polymathic AI</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Architectural Innovation:</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> Design and optimize specialized neural architectures for multi-scale physical systems, e.g.</span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">AB-UPT</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> and related operator learning methods.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Physics-Informed Machine Learning (PIML):</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> Embed physical constraints (conservation laws, symmetries, and PDEs) directly into the loss functions and inductive biases of deep learning models to ensure physical consistency and data efficiency.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Scalable Engineering:</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> Collaborate with software engineers to deploy these models at scale within the Luminary Cloud platform, enabling real-time or near-real-time simulation for complex CFD/FEA problems.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Leadership: </strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Drive the deliverables of the physics AI team each quarter contributing to the larger Luminary platform</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><hr><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><span style=\"color:rgb(0,0,0);font-size:16pt;white-space:pre-wrap;\">Qualifications</span></h2><h3 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><span style=\"color:rgb(67,67,67);font-size:14pt;white-space:pre-wrap;\">Required</span></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Masters degree or higher in Computer Science, Mechanical Engineering, Aerospace Engineering, or related field</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">5+ years of experience building production software or ML systems</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with Physics Nemo models such as Domino and GeoTransolver</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with Geometry processing, Meshing, and physics solvers a must</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Familiarity with developing LLM-powered applications a plus</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Strong proficiency in </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Python</strong></b></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Proficiency using coding agents such as Claude Code</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Familiarity with </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Physics AI, CAE, or physics simulation</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> domains a critical requirement</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with distributed ML applications a big plus</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><br></p><h3 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;\"><span style=\"color:rgb(67,67,67);font-size:14pt;white-space:pre-wrap;\">What we are not looking for</span></h3><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Not looking for a pure manager for this role</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Not looking for someone who has no background in Physics</span></li></ul>",
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Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/63e106464c8f8e9f940ad5b427422637d905247f?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/1853f183-e71d-4772-a2b4-7acccd0e77f4JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/d0e4f0f8-3ac3-4025-84fe-26225ec1fd79JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/63e106464c8f8e9f940ad5b427422637d905247f/eventsJSON