---
title: 'Simulation Engineer - Thermal Process at PhysicsX'
canonical: 'https://feeny.ai/job/simulation-engineer-thermal-process-physicsx-singapore-69rhqzweam43'
type: 'job'
last_seen: '2026-10-29'
---

# Simulation Engineer - Thermal Process at PhysicsX

- **Company:** PhysicsX
- **Location:** Singapore
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-10-29
- **Apply:** https://job-boards.eu.greenhouse.io/physicsx/jobs/5011110101

## Job description

## About us

Re-architecting Engineering for the Age of Intelligence

PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area.

Who We’re Looking For

As a Senior Simulation Engineer (Delivery), you are a problem solver and a builder, who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.

You bring deep expertise in metallurgical, chemical, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of Abaqus, ANSYS Mechanical/Fluent, and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX, FreeCAD or CATIA) and coding in Python/Java, (or the ability to quickly learn programming languages).

With industrial / line-side / manufacturing process experience in a commercial, non-research environment, you're ready to hit the ground running. You're confident setting up simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.

Technical Competencies

In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges.

- Deep proficiency in thermal and heat-transfer simulation across platforms (Abaqus, ANSYS Mechanical/Fluent, COMSOL, or equivalent), including conduction, convection, radiation, and transient heat-transfer modelling with temperature-dependent material properties
- Deep proficiency in coupling thermal, chemical, fluid, diffusion, and electrostatic phenomena
- Strong grasp of numerical methods and solver fundamentals — discretisation schemes, convergence behaviour, stability, mesh sensitivity, and the judgement to diagnose non-physical results rather than accept solver output at face value
- Instrumentation design and real-world data collection — instrumenting physical processes (sensors, test rigs, in-situ measurement) to generate validation data for processes that have no existing simulation capability
- Hands-on, real-world experience on the shop floor with manufacturing plants, industrial engineering processes, and/or repair operations — not simply desk-based familiarity
- Awareness of qualified-process and regulatory constraints — understanding that model outputs must respect qualified parameter windows, and distinguishing optimisation within a qualified window from changes that trigger requalification
- Customer-facing delivery — partnering with client process owners to scope and address complex repair challenges; communicating results clearly and balancing accuracy with efficiency under commercial deadlines

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.

We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

## About PhysicsX

## Company Overview
- **One-liner**: PhysicsX builds an AI-native software stack for physics simulation and engineering design, enabling advanced industries to accelerate innovation by orders of magnitude.
- **Entity Type**: Private (Series C)
- **Headquarters**: London, United Kingdom
- **Founded**: 2019
- **Founders**: Jacomo Corbo (CEO & Co-Founder) and a Co-Founder & Chairman

## Core Business
- **Primary industries**: Aerospace & Defense, Automotive, Semiconductors, Materials, Energy & Renewables
- **Target customers**: Large industrial organizations (B2B Enterprise) – engineers and teams designing and operating complex physical systems
- **Mission**: Empower industrial organizations to build beyond human imagination and address the defining challenges of our time, with a focus on climate and human health impact

## Products & Services
- **PhysicsX Platform** (SaaS + embedded engineering): An AI-native software stack that unifies simulation, physics AI, data, and engineering applications. Integrates with existing toolchains (CAD, CAE, PLM) and accelerates simulation by orders of magnitude, enabling engineers to explore larger design spaces and move from concept to validated design in days.

## Market Standing
- **Valuation**: Approximately $2.4B (as of Series C in August 2026)
- **Key Metric**: Total funding ~$487M (including $300M Series C, $135M Series B, $32M Series A, $20M from NVentures). Revenue is generating but not publicly disclosed (LinkedIn estimates ~$1M, but company is early-stage revenue generating).
- **Notable Investors/Partners**: Atomico (led Series B), General Catalyst (led Series A), NVentures (NVIDIA’s venture arm), NVIDIA (strategic partner), Siemens (collaboration on data center power infrastructure)
- **Growth Signals**: 
  - Series C oversubscribed $300M at $2.4B valuation (Aug 2026)
  - Headcount growth of 71% YoY (LinkedIn: 226 employees; PitchBook: 350 employees post-C)
  - Forward-deployed engineers embedded in customer programs
  - Open standards for physics AI powered by NVIDIA (March 2026)

## Competitive Advantages
- **True AI-native platform**: Physics AI is built as a core primitive, not bolted onto legacy tooling. Uses advanced models like Fourier Neural Operators to simulate physics at speeds unattainable with traditional CFD/FEA.
- **Embedded deployment model**: Forward-deployed engineers work alongside customers on live problems, ensuring measurable outcomes and deep domain integration.
- **Focus on hardest problems**: Targets extreme complexity (aerospace, semiconductors, climate tech) where speed of development is critical and margins for error are zero.
- **Strategic partnerships**: Deep collaboration with NVIDIA (compute, open standards) and Siemens (infrastructure AI).

## Strategic Focus
- Continue scaling the platform across multiple industrial verticals, with emphasis on the climate transition (energy, materials efficiency) and human health (medical devices, supply chain).
- Expand the "Large Physics Models" research program and open standards initiatives.
- Grow the global team (currently 350+ across UK and US) with strong emphasis on research, product engineering, and forward deployment.

## Why Work Here
- **Culture**: Grounded visionaries, moving fast with trust and ambition. Values include "we make stuff happen" and "we form a community in which people can grow."
- **Work environment**: Hybrid (2-3 days in office per week); offices in London (Shoreditch) and New York (Downtown Manhattan). Visa sponsorship and relocation support available.
- **Benefits**: Generous pension contributions, health insurance, enhanced parental support, development opportunities.
- **Engineering culture**: Work on the hardest problems in industry – physics, AI, and engineering collide. Small, high-autonomy teams. Interview process includes pairing and in-person final rounds.
- **Diversity**: Committed to equal opportunities; strongly encourages underrepresented groups to apply.

## Sources
1. [PhysicsX.ai](https://www.physicsx.ai/) – company website
2. [PhysicsX About](https://www.physicsx.ai/about) – mission, team, challenge
3. [PhysicsX Careers](https://www.physicsx.ai/careers) – culture, benefits, interview process
4. [LinkedIn](https://uk.linkedin.com/company/physicsx) – employee count, funding, headcount growth
5. [PitchBook](https://pitchbook.com/profiles/company/529644-70) – valuation, Series C, founding year

## Other roles at PhysicsX

- [Platform Support Engineer](https://feeny.ai/job/platform-support-engineer-physicsx-new-york-an8gzcdfwjbw) — New York, NY
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-physicsx-london-0v6p0pmv45bt) — London, United Kingdom
- [Senior CFD Engineer](https://feeny.ai/job/senior-cfd-engineer-physicsx-perth-x9nh83zmcccm) — Perth, Australia
- [Delivery Engineer](https://feeny.ai/job/delivery-engineer-physicsx-singapore-5wsdrs5mzky7) — Singapore
- [Senior CFD Engineer - Multiphase](https://feeny.ai/job/senior-cfd-engineer-multiphase-physicsx-perth-h3xvsadgm91j) — Perth, Australia
- [Simulation Engineer: FEA & Multi body simulation](https://feeny.ai/job/simulation-engineer-fea-multi-body-simulation-physicsx-new-york-4w9jhnwnw2zm) — New York, NY
- [Staff Software Engineer, Infrastructure - Python & Kubernetes](https://feeny.ai/job/staff-software-engineer-infrastructure-python-kubernetes-physicsx-london-h1qnwfgah3gg) — London, United Kingdom
- [Events & Experiences Manager](https://feeny.ai/job/events-experiences-manager-physicsx-london-hr3ewjq0yfww) — London, United Kingdom
- [Enterprise IT Engineer](https://feeny.ai/job/enterprise-it-engineer-physicsx-new-york-zm2b5bn4hxpq) — New York, NY
- [Lead IT Engineer](https://feeny.ai/job/lead-it-engineer-physicsx-london-q1fk60zjd3m8) — London, United Kingdom