Rescale
Application Engineer, AI Physics
Remote (North America) · Contract
Sponsorship not specifiedDetected 131 days ago
PythonMachine LearningData EngineeringAI OrchestrationProduct ManagementProduct Strategy
About the role
- 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.
Responsibilities
- Build and ship AI Physics capabilities alongside the Rescale AI/ML team
- 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
Requirements
- Hands-on experience with ML or data-driven systems in production contexts
- Familiarity with simulation workflows and engineering data
- Ability to debug complex issues across data, models, and workflow orchestration
- Strong software engineering fundamentals, with heavy emphasis on Python
- Experience building and modifying data pipelines and ML workflows
- Comfortable working directly with customer engineers on technical problems
- 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
Company info
- 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 are seeking a highly motivated Application Engineer, AI Physics to help build and deliver the next generation of AI Physics capabilities at Rescale!
- 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.
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This listing is sourced directly from Rescale's careers page and normalized into a canonical job model.