Senior AI Product Designer at Rescale (W12)
$150K - $200K
High Performance Computing Built for the Cloud
Remote (United States) / Remote (US)
Full-time
US citizen/visa only
6+ years
About Rescale

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.
About the role

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're seeking a Senior Product Designer who embraces AI-augmented design workflows to shape the future of computational engineering. You'll leverage cutting-edge AI tools to accelerate design iterations while creating intuitive interfaces that make complex HPC workflows accessible to thousands of engineers. This role requires mastery of both traditional design craft and emerging AI-powered design methodologies.

Key Responsibilities

AI-Augmented Design Leadership

  • Pioneer AI-driven design workflows using tools like Claude, ChatGPT, Midjourney, and GitHub Copilot
  • Leverage AI for rapid prototyping, user research synthesis, and design system generation
  • Build custom AI workflows for design tasks (component generation, accessibility testing, copy optimization)
  • Establish best practices for AI tool integration within the design team
  • Use AI to analyze user behavior patterns and generate data-driven design recommendations

Strategic Design Ownership

  • Own end-to-end design for major product initiatives impacting $10M+ in revenue
  • Lead design strategy for AI-powered features (intelligent job optimization, predictive resource allocation)
  • Create scalable design systems that adapt to diverse computational workloads
  • Drive design decisions that reduce customer time-to-insight by 50%+

Advanced User Research & Analytics

  • Use AI tools to analyze thousands of user sessions and identify workflow bottlenecks
  • Implement ML-powered user research methodologies for pattern recognition
  • Create predictive models for user needs based on industry and use case
  • Leverage LLMs to synthesize qualitative feedback from multiple channels

Technical Design Innovation

  • Design AI-assisted interfaces for automated simulation setup and optimization
  • Create intelligent dashboards that surface anomalies in petabytes of simulation data
  • Develop conversational UI patterns for natural language HPC job submission
  • Design ML-powered recommendation systems for resource allocation

Cross-functional Leadership

  • Partner with ML engineers to design AI-native product features
  • Collaborate with engineering on technical feasibility of AI-augmented interfaces
  • Lead design reviews and establish quality standards for the team

Required Qualifications

Experience

  • 7+ years of product design experience, with 5+ years in enterprise B2B software
  • Demonstrated expertise using AI tools in production design workflows
  • Track record of shipping AI-powered features or intelligent user interfaces
  • Experience leading design for products with $5M+ revenue impact
  • Portfolio showing sophisticated design systems and complex technical workflows

AI & Technical Skills

  • AI Design Tools : Advanced proficiency with ChatGPT/Claude for design tasks, Midjourney/DALL-E for visual design, GitHub Copilot for prototyping
  • AI Workflows : Experience building custom GPTs, prompt engineering for design tasks, AI-powered user research analysis
  • Traditional Tools : Expert-level Figma with advanced prototyping, design tokens, and API usage
  • Technical Skills : Comfortable with HTML/CSS/JS for rapid prototyping, experience with data visualization libraries (D3.js, Plotly)

Domain Knowledge

  • Deep understanding of AI/ML concepts and their application to user interfaces
  • Experience designing for technical users (engineers, developers, data scientists)
  • Familiarity with cloud computing and distributed systems
  • Understanding of enterprise software requirements at scale

Preferred Qualifications

  • Experience with computational workflows (CAE, CFD, molecular dynamics, semiconductor design)
  • Background in engineering, computer science, or related technical field
  • Contributions to open-source design systems or AI tool development
  • Knowledge of prompt engineering and LLM fine-tuning

What Makes You Stand Out

  • You've built custom AI workflows that 10x your design productivity
  • You're active in AI design communities and stay current with latest tools
  • You've published thought leadership on AI-augmented design
  • You can demonstrate measurable impact from AI tool adoption
  • You're excited about pushing the boundaries of what's possible in enterprise UX

The Impact

Your designs will accelerate scientific breakthroughs—from sustainable aviation fuels to next-generation semiconductors. You'll leverage AI to create interfaces that help engineers solve previously impossible problems, reducing months of work to days.

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.

Technology

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.

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