Home › Companies › Luminary › Senior Solutions Engineer - FEA & Physics AI
Senior Solutions Engineer - FEA & Physics AI
Luminary · San Mateo, CA, United States · On Site · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Luminary |
| Title | Senior Solutions Engineer - FEA & Physics AI |
| Normalized title | - |
| Department / team | GTM |
| Location | San Mateo, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-05-04 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Luminary. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Mateo. | Open |
| Department jobs | Active postings in GTM. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Luminary |
| Source | d0e4f0f8-3ac3-4025-84fe-26225ec1fd79 |
| ATS provider | Rippling ATS |
Description
company
Luminary Cloud 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
Full Time | Eligible for Hybrid, Remote
Solutions Engineers are the technical backbone of every Luminary AI opportunity. You'll partner with Account Executives to lead pre-sales engagements from first discovery call through pilot. We're hiring SEs grounded in a specific physics discipline — structural mechanics and FEA, in this role — who bring that depth to Physics AI use cases across our customer base. The role is technically heavy: most of your week will be in demos, validation studies, and surrogate model evaluation, with the rest spent on the commercial motion — qualification, scoping, proposals, and executive storytelling.
What you'll do in this Role:
Run discovery and qualification on new opportunities, translating customer pain into scoped Physics AI use cases Build demos, benchmarks, and validation studies using Luminary generated data or customer data Contribute to applied R&D in AI/ML for structural mechanics — evaluating new architectures, prototyping surrogate workflows, and stress-testing model performance on real customer geometries and load cases Own the technical narrative in customer meetings — from engineer-level deep dives to VP/CTO storytelling Collaborate with internal product and engineering teams to translate customer needs into Luminary platform enhancements Present at customer sites and industry conferences to demonstrate Physics AI capabilities
What we're looking for:
A self-starter engineer with the ability to manage complex, multi-stakeholder technical evaluations. Primarily:
PhD in Mechanical, Aerospace, Civil Engineering, or related, 2-5 years of post-PhD experience in structural simulation, technical sales, or applied research Hands-on FEA expertise — stress analysis, fatigue, vibration/NVH, composites, or nonlinear statics — with fluency in commercial solvers (Abaqus, ANSYS Mechanical, Nastran, or similar) Experience with explicit dynamics for crash, impact, or drop-test simulation Working knowledge of Physics AI and ML surrogates (neural operators, GNNs, transformers for PDEs) Python proficiency for scripting, automation, and API/SDK workflows Strong commercial instincts — you can read a room, qualify fast, and tell a clean technical story to a non-technical buyer Willingness to travel (~25%) to customer sites across North America
Ways to Stand Out:
Background working with aerospace, automotive, defense, or industrial manufacturing customers Experience with open-source FEA (CalculiX) or topology optimization workflows Experience with PyTorch and frameworks like PhysicsNeMo, Modulus, or equivalent Experience with HPC environments and cloud computing platforms
Eligibility: This role is limited to U.S. Persons. Candidates must be based in the United States and satisfy all listed requirements. This position is not eligible for visa sponsorship now or in the future.
Full job record
| Job ID | f028be713106cea99fb86175f91f5528a4d8b059 |
| Org ID | 1853f183-e71d-4772-a2b4-7acccd0e77f4 |
| Source ID | d0e4f0f8-3ac3-4025-84fe-26225ec1fd79 |
| Board ID | d0e4f0f8-3ac3-4025-84fe-26225ec1fd79 |
| Provider | rippling |
| Provider Job Key | 2ee6f267-4d4f-41b2-87c0-065d2d71a7da |
| Title | Senior Solutions Engineer - FEA & Physics AI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Mateo, CA, United States |
| Department | GTM |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Mateo |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/luminarycloud/jobs/2ee6f267-4d4f-41b2-87c0-065d2d71a7da |
| Apply URL | https://ats.rippling.com/luminarycloud/jobs/2ee6f267-4d4f-41b2-87c0-065d2d71a7da |
| First Seen At | 2026-05-29 07:12:51Z |
| Last Seen At | 2026-06-06 08:46:23Z |
| Last Checked At | 2026-06-06 08:46:23Z |
| Last Changed At | 2026-06-06 08:46:23Z |
| Inactive At | — |
| Source Posted At | 2026-05-04 23:12:16Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=luminarycloud/date=2026-06-06/2026-06-06T08-46-21-850Z-909b09de43f3d2ebc4b0956897198a40b0f809bb71d46d82378a60a8881919aa.json |
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Primarily:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">PhD in Mechanical, Aerospace, Civil Engineering, or related, 2-5 years of post-PhD experience in structural simulation, technical sales, or applied research</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Hands-on FEA expertise — stress analysis, fatigue, vibration/NVH, composites, or nonlinear statics — with fluency in commercial solvers (Abaqus, ANSYS Mechanical, Nastran, or similar)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with explicit dynamics for crash, impact, or drop-test simulation</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Working knowledge of Physics AI and ML surrogates (neural operators, GNNs, transformers for PDEs)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Python proficiency for scripting, automation, and API/SDK workflows</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Strong commercial instincts — you can read a room, qualify fast, and tell a clean technical story to a non-technical buyer</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Willingness to travel (~25%) to customer sites across North America</span></li></ul><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Ways to Stand Out:</strong></b></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Background working with aerospace, automotive, defense, or industrial manufacturing customers</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with open-source FEA (CalculiX) or topology optimization workflows</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with PyTorch and frameworks like PhysicsNeMo, Modulus, or equivalent</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with HPC environments and cloud computing platforms</span></li></ul><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Eligibility:</strong></b><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\"> This role is limited to U.S. Persons. Candidates must be based in the United States and satisfy all listed requirements. This position is not eligible for visa sponsorship now or in the future.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
"company": "<meta><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(29,28,29);background-color:rgb(255,255,255);font-size:11.25pt;white-space:pre-wrap;\">Luminary Cloud 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.</span></p>"
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Rendered from the bluedoor Job Postings API. Reproduce it:
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