Application Engineer, AI Physics

Application Engineer · Senior · Full Time · Remote

Remote (North America) · RemoteUSD 156k – 180k5mo ago
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Role

What you'll do.

Rescale is seeking an Application Engineer specializing in AI Physics to drive innovative product development at the intersection of machine learning, simulation workflows, and customer engineering. The role requires a hands-on engineer who can transform AI prototypes into scalable product capabilities while directly engaging with customers to understand and improve AI-driven engineering solutions.

Responsibilities

  • AI Physics Product Development: Build and ship advanced AI Physics capabilities in collaboration with the Rescale AI/ML team, focusing on creating scalable and production-ready solutions.
  • Customer Workflow Integration: Transform customer simulation data into AI-ready pipelines, working directly with customer engineers to understand their technical requirements and constraints.
  • Proof of Concept Hardening: Execute and refine early AI Physics proof of concepts (POCs) to ensure they are repeatable, reusable, and meet production standards.
  • Technical Debugging: Diagnose and resolve complex technical issues across data preprocessing, machine learning models, inference, and workflow orchestration.
  • Product Roadmap Contribution: Provide actionable insights from customer interactions to inform and improve the product roadmap, bridging gaps between customer needs and product capabilities.

Qualifications

What we look for.

Technical

  • Programming Proficiency

    Advanced Python programming skills with deep understanding of software engineering principles

  • Machine Learning Systems

    Demonstrated experience with machine learning and data-driven systems in production environments

  • Data Pipeline Engineering

    Expertise in building, modifying, and optimizing complex data pipelines and machine learning workflows

Education

  • Advanced Degree Preferred

    Bachelor's or Master's degree in Computer Science, Engineering, Physics, or a related technical field

Experience

  • Simulation Workflows

    Proven familiarity with engineering simulation workflows and complex engineering datasets

  • Customer Technical Engagement

    Extensive experience working directly with technical teams to solve complex engineering challenges

Skills

Required

  • Python

    Strong software engineering skills with a heavy emphasis on Python programming

  • Machine Learning

    Hands-on experience with machine learning and data-driven system design

  • Workflow Orchestration

    Ability to debug and manage complex technical workflows across data, models, and systems

Preferred

  • Cloud Computing

    Nice to have

    Experience with high-performance computing (HPC) and cloud infrastructure

  • Simulation Technologies

    Nice to have

    Background in engineering simulation technologies and computational methods

Tech stack

Languages

Python

Frameworks

Machine Learning Frameworks

Databases

Data Management

Tools

Cloud Platforms

Other

Workflow Orchestration

Compensation

Pay and benefits.

Base·USD 156,000 – 180,000

Equity·Stock options

Benefits

  • Equity Compensation

    Stock options offering potential additional financial upside

  • Remote Work

    Fully remote position with occasional purposeful travel for customer engagements

Process

Interview steps.

  1. 01

    Initial Screening

    Preliminary discussion to assess technical background and role alignment

  2. 02

    Technical Interview

    In-depth technical assessment of AI, machine learning, and software engineering skills

  3. 03

    Customer Workflow Challenge

    Practical problem-solving exercise simulating real-world AI Physics engineering scenarios

  4. 04

    Final Interview

    Discussion with AI/ML team leadership to evaluate cultural fit and strategic thinking

Full posting

Original listing.

About Rescale

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs

We are seeking a highly motivated Application Engineer, AI Physics to help build and deliver the next generation of AI Physics capabilities at Rescale!

This is a hands-on, builder-oriented role that sits at the intersection of product development, applied AI, and customer engineering workflows.

You will work directly with the Rescale AI/ML team to build and ship AI Physics capabilities, while also engaging with customers to apply those capabilities to real simulation data and workflows. The role is customer-facing, but product-first: your work with customers is expected to feed directly back into reusable product features and capabilities.

This role is ideal for engineers who enjoy working deep in the codebase, pressure-testing new technology with real users, and turning early prototypes into scalable product capabilities.

In This Role, You Will Be Responsible For:

  • Build and ship AI Physics capabilities alongside the Rescale AI/ML team

  • Turn real customer simulation data into AI-ready pipelines using the core AI Physics product

  • Execute and harden early AI Physics POCs so they are repeatable, reusable, and production-ready

  • Debug and resolve issues across data preprocessing, models, inference, and workflow orchestration

  • Work directly with customer engineers to understand their workflows and technical constraints

  • Close gaps between customer workflows and product capabilities, feeding concrete learnings back into the product roadmap

  • Act as a builder first, with the ability to be forward-deployed on critical customer engagements when needed

Key Qualifications:

  • Strong software engineering fundamentals, with heavy emphasis on Python

  • Hands-on experience with ML or data-driven systems in production contexts

  • Familiarity with simulation workflows and engineering data

  • Experience building and modifying data pipelines and ML workflows

  • Ability to debug complex issues across data, models, and workflow orchestration

  • Comfortable working directly with customer engineers on technical problems

Customer Engagement & Travel

  • This role includes direct customer engagement, particularly during POCs and early deployments

  • Expect occasional travel to customer sites for deep technical working sessions, workshops, or critical milestones

  • Travel is purposeful and tied to execution, not routine sales support

Why This Role Matters

AI Physics Application Engineers play a critical role in ensuring that AI Physics capabilities are not only technically sound, but also usable, scalable, and trusted by engineering teams. Your work will directly influence product direction, customer adoption, and the success of AI Physics deployments in production.


Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check. Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.

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