# MTS - AI Physics & Simulations

Collinear.AI is seeking a Member of Technical Staff (Applied Scientist) with deep expertise in engineering sciences to work at the frontier of AI-accelerated simulation. In this role, you will collaborate with customers and internal research teams to build, test, and deploy AI Physics Models. You will contribute across the full stack: curating high-fidelity simulation datasets, training and evaluating physics-informed models, and delivering production-grade AI solutions directly to engineering teams. Key target domains include computational fluid dynamics (CFD), structural mechanics, semiconductor design, multi-physics modeling, and digital twins. Working cross-functionally across research, product, and client-facing teams, you will ensure models meet rigorous real-world engineering standards-not just theoretical benchmark metrics. Key Responsibilities Execute Simulation Campaigns: Design and orchestrate large-scale simulation campaigns using domain-specific solvers (e.g., OpenFOAM, ANSYS, COMSOL, Abaqus). Train & Validate Models: Train AI models on physics datasets and conduct rigorous evaluations of coverage, accuracy, and output quality against industrial validation standards.

- **Id**: 923644
- **Url**: <https://alion.io/job/collinear-mts-ai-physics-simulations>
- **Role**: Data Science
- **Role family**: Data Science
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States, Sunnyvale, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-14T11:42:27Z
- **Employer posted date**: 2026-09-14
- **Last verified at**: 2026-11-09T22:33:23Z
- **Board verified**: yes
- **Days open**: 56
- **Description format**: text
- **Description chars**: 3468
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Artificial Intelligence, AI Training Data & Annotation

## Company

- **Id**: 673970
- **Name**: Collinear
- **Domain**: collinear.ai
- **Url**: <https://alion.io/company/collinear>
- **Size band**: 51-200
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: B
- **Score**: 75
- **Open postings**: 4
- **Ghost share**: 0
- **Stale share**: 1
- **Repost share**: 0
- **Computed at**: 2026-11-09T06:03:00Z

## Salary estimate

- **Min usd**: 129000
- **Max usd**: 281000
- **Period**: year
- **Method**: role_country_seniority_unknown
- **Sample n**: 3718

## Technologies

- **Abaqus** — Optional: no
- **Agentic Workflows** — Optional: no
- **AI Agents** — Optional: no
- **ANSYS** — Optional: no
- **Digital Twin** — Optional: no
- **HPC** — Optional: no
- **Linux** — Optional: no
- **Machine Learning** — Optional: no
- **OpenFOAM** — Optional: no
- **Python** — Optional: no
- **RAG** — Optional: no
- **CI/CD** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 56

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: master
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-09-15T03:55:02Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 4; Filings 12m: 4

## Liveness

- **Score**: 15
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.429
- **P room**: 0.36
- **Age days**: 55
- **Expected fill days**: 30
- **Reasons**: conf:3, win:tail, crowd:
- **Computed at**: 2026-11-09T06:03:00Z

---
[Page](https://alion.io/job/collinear-mts-ai-physics-simulations) · [JSON](https://alion.io/job/collinear-mts-ai-physics-simulations.json)

Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.
