Rescale provides a global software platform and hardware infrastructure for companies to perform scientific and engineering simulation.

• We provide the largest, most secure, global high performance computing (HPC) footprint seamlessly integrated into an easy-to-use platform built for engineers and scientists. We are disrupting the staid on premise HPC world.
• Not that long ago, we were a team of two, who rendered the Boeing 787 wing on commodity hardware, saving $150M in the process. Now we are a team of 50+ software engineers, computer scientists, and domain experts, helping advanced tech companies bring their complex use cases to the cloud.
• Investors in Rescale include Sam Altman, Jeff Bezos, Richard Branson, Chris Dixon, and Paul Graham, among others.

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 an experienced _ Solutions Architect _ to join our team.

About the Forge Team

The Forge Team is Rescale’s innovation engine, a fast-moving, cross-functional group building our next-generation products: Rescale Data Intelligence and Rescale AI Physics. We partner closely with customers, technical fellows, and product teams to validate ideas quickly, fail fast, and iterate rapidly. Our mission is to deliver transformative solutions that enable engineering organizations to harness data intelligence, AI Physics models, and emerging agentic engineering workflows to accelerate innovation.

Role Summary

We are seeking a Solutions Architect to join the Strategic Solutions / GTM team within Forge. In this role, you’ll work on the cutting edge of Data Intelligence and AI Physics , engaging with strategic customers to understand their engineering workflows, shape adoption strategies, and influence product direction.

This is a highly collaborative, customer-facing role where you will bridge customers, product teams, and field teams , helping validate hypotheses, accelerate adoption, and deliver value from next-generation, AI-driven engineering workflows , including agentic engineering and AI Physics simulation models.

Key Responsibilities

• Partner with account teams to engage with strategic customers , uncovering workflows and technical needs across simulation, data, and AI.

• Design end-to-end solutions leveraging Rescale Data Intelligence and Rescale AI Physics to enable next-generation engineering workflows.

• Set the strategic vision for engagement by aligning Rescale’s Data Intelligence and AI Physics capabilities with customer priorities in simulation, AI, and digital engineering.

• Build trusted relationships with technical leaders and stakeholders, from engineers to technical fellows, to influence adoption strategies and long-term technology roadmaps.

• Capture and document customer requirements , workflow gaps, and adoption blockers.

• Provide structured field feedback to Product and Engineering to guide roadmap prioritization and the evolution of agentic engineering capabilities.

• Collaborate on iterative testing cycles to validate new features and capabilities before GA release.

• Develop technical collateral, including solution briefs, integration guides, and best practices for AI Physics and agentic engineering workflows.

• Support internal enablement by contributing to training materials and field readiness resources for Data & AI.

• Work with Marketing, Sales, and Customer Success to accelerate adoption and drive measurable impact of Data Intelligence and AI Physics solutions.

• Operate as a strategic overlay on top of Rescale’s core team, providing Data & AI guidance to elevate customer engagements, define strategic implementation plans , and ensure successful adoption.

Qualifications

• Experience

• Technical & Strategic Expertise

• Customer Engagement & Communication

• Product & Adoption Focus

• Mindset & Cultural Fit

• Nice to Have

Why This Role Is Unique

• Work on futuristic, category-defining technology , including agentic engineering workflows , AI Physics models , and data intelligence platforms.

• Influence product direction at an early stage while seeing your work translate to real customer impact and revenue growth.

• Partner directly with some of the most advanced engineering organizations in the world to redefine how they innovate.

Be part of a high-visibility innovation team where experimentation, iteration, and rapid learning shape Rescale’s future.

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.

Problems we are Solving:

• We're building a cloud orchestration framework to execute complex engineering workflows across multiple cloud providers.
• We provide an additional layer of reliability, fault tolerance, and tuning for HPC applications which were not originally designed to run on cloud hardware.
• We are helping engineering companies figure out the best way to incorporate machine learning algorithms into their design lifecycle.

Tech Stack:

• Javascript - React/Angular
• Python - Django Rest Framework
• (Modern) Java - Dropwizard
• Our core infrastructure runs on AWS. The compute clusters we run for customers are created on AWS, Azure, GCP, and IBM in the cloud, along with Bare Metal On-Premises data centers.

Our engineering team is broken up into smaller groups of 5-7 people with a combined full stack skill set. We try to keep meetings to a minimum: there is a daily standup and a weekly task estimation meeting. We have two week release cycles however developers are encouraged to push important features and bug fixes to production as needed. Writing clean, testable code is a point of emphasis and we use GitHub PRs to ensure a minimum quality bar and also to disseminate best practices and spread domain knowledge around.