Application Engineer, AI Physics
Application Engineer · Senior · Full Time · Remote
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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 haveExperience with high-performance computing (HPC) and cloud infrastructure
Simulation Technologies
Nice to haveBackground in engineering simulation technologies and computational methods
Tech stack
Languages
Frameworks
Databases
Tools
Other
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.
- 01
Initial Screening
Preliminary discussion to assess technical background and role alignment
- 02
Technical Interview
In-depth technical assessment of AI, machine learning, and software engineering skills
- 03
Customer Workflow Challenge
Practical problem-solving exercise simulating real-world AI Physics engineering scenarios
- 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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