Rescale

Applications Engineers, Agentic Workflows

Rescale
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5 months ago
Remote, United StatesMid Level
H1B sponsor

Base Salary

$156k - $180k/yr

Responsibilities

  • Build and ship agent-driven automation across engineering and CAE workflows.
  • Design and implement agents interacting with engineering tools, simulation data, and workflows.
  • Encode engineering workflows as structured, agent-executable steps with clear inputs, outputs, and guardrails.
  • Integrate agents into reusable end-to-end pipelines rather than one-off scripts.
  • Harden early agent use cases into deterministic, production-ready systems.
  • Debug issues across agent logic, tool execution, data handling, and orchestration.
  • Work with customer engineers to understand workflows and technical constraints.
  • Feed workflow learnings back into platform capabilities and product direction.
  • Support forward-deployed customer engagements when needed.

Requirements

  • Strong software engineering fundamentals with heavy emphasis on Python.
  • Hands-on experience building automation around engineering or technical software.
  • Familiarity with CAE workflows, simulation data, and solver-driven processes.
  • Experience building or deploying agent-based or LLM-driven systems.
  • Experience orchestrating tools, scripts, or workflows across multiple systems.
  • Ability to design deterministic, reliable automation around complex tools.
  • Experience turning internal automation into reusable, product-grade components.
  • Comfort debugging across tool execution, data handling, and orchestration layers.
  • Ability to engage directly with customer engineers and occasionally travel to customer sites.

Benefits

  • Occasional travel to customer sites for technical working sessions and critical milestones.
  • Employment is contingent upon successful completion of a comprehensive background check.

Tech Stack

Categories

Rescale

About Rescale

201-500 employees

Rescale builds a cloud platform for high-performance computing that runs engineering simulation, modeling, and applied AI workloads on public clouds, with orchestration, data management, and a large catalog of commercial R&D software. It sells to enterprises in industries like aerospace, automotive, life sciences, and energy via enterprise licensing and usage-based compute. Founded in 2011 and headquartered in San Francisco, the company is privately held.

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