---
title: 'Software Engineer, Agentic AI Systems at Rescale'
canonical: 'https://feeny.ai/job/software-engineer-agentic-ai-systems-rescale-united-states-9x9bbb5wc21w'
type: 'job'
last_seen: '2026-10-16'
---

# Software Engineer, Agentic AI Systems at Rescale

- **Company:** Rescale
- **Location:** United States
- **Compensation:** $115k–$159k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/rescale/7000359c-888c-4686-a17f-513a75d883a0

## Job description

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 hiring a product-focused Software Engineer, AI Systems to build Rescale’s Data Intelligence and Agentic AI platforms within our infrastructure organization. The work spans production agents, retrieval, evals, ingestion pipelines, and the data services connecting customer environments, cloud storage, and compute clusters. Projects often start as broad goals. You’ll partner with Product to identify the customer problem, sharpen the spec, and decide what to ship first. You’ll own the technical design and delivery of a meaningful part of the platform. You’ll use Rescale’s product yourself, find friction in the full workflow, and keep improving what you launch. What you’ll do:

- Build and operate LLM-backed APIs, agents, retrieval systems, and integrations with internal and external systems.
- Develop evals for agent and RAG workflows, then use the results to improve quality and reliability.
- Build ingestion pipelines and high-throughput file and data paths between customer environments, cloud object storage, and compute clusters, balancing reliability, performance, and cost.
- Work with Product and Design to turn broad goals into clear problems, practical specs, and small releases.
- Spot worthwhile improvements, bring the right people into the decision, ship frequently, and follow through on the result.
- Work across backend services (Python, Java, Go), cloud infrastructure (AWS, Azure, GCP, containers/Kubernetes), and occasional UI changes (React and TypeScript) to complete the customer experience.

What we’re looking for:

- 3–5 years of experience building and operating backend services and distributed systems in AWS, Azure, or GCP.
- Production experience with agentic AI, retrieval-augmented generation (RAG), and evals. You can explain how your evaluations led to changes in a shipped system.
- Strong experience in at least one of Python, Java, or Go, with comfort working across services and APIs.
- Experience with data-intensive systems such as object storage, relational databases, caches, and queues or streams.
- Effective use of AI coding agents in your development work, including the judgment to verify their output. You follow new AI engineering practices and test ideas that could improve how the team builds.
- The ability to turn an ambiguous goal into a plan with Product, make sound architectural decisions for your area, and take responsibility for how the work performs after launch.
- A BS in Computer Science or equivalent experience.

Diversity, equity, inclusion and belonging are fundamental to our success. We strive to be a workplace where we:

- Welcome ALL and ALL are welcome.
- Show up with our whole selves or whichever parts of ourselves we’re comfortable sharing, and be ready to see the same in others.
- Be ready to learn, unlearn, and learn again.
- Respect others and their opinions. We practice empathy in the way we interact with each other and celebrate uniqueness as a team.
- Seek to understand - ask more questions than one makes statements.
- Provide safety from judgment and preserve a collaborative environment.

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](https://rescale.com/company/legal/applicant-privacy-notice/) here.

## About Rescale

## Company Overview
- **One-liner**: Rescale provides a cloud platform for high-performance computing (HPC), AI physics, and agentic engineering to accelerate product development and scientific discovery.
- **Entity Type**: Private (Funded, with multiple funding rounds including a $115M Series D in 2021; latest round a $50M Series E-1 in 2024)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2011
- **Founders**: Joris Poort (CEO) and Adam McKenzie (CTO)

## Core Business
- Primary industry: Cloud Computing / High-Performance Computing (HPC) / AI Simulation and Engineering Software
- Target customers: B2B; Primarily large enterprises in aerospace, automotive, energy, life sciences, and manufacturing (R&D and engineering teams)
- Mission or purpose statement: "To empower anyone to accelerate innovation" and "deliver engineering and scientific breakthroughs that enrich humanity."

## Products & Services
- **Rescale High Performance Computing**: A cloud-based, elastic infrastructure platform that scales on demand, offering over 180 specialized and optimized hardware architectures and a library of pre-configured HPC and AI software. It automates setup and manages full-stack spend.
- **Rescale AI Physics**: An operating system that automates data preparation and model deployment, transforming existing simulation data into surrogate models for highly accurate predictions in milliseconds.
- **Rescale Agentic Engineering**: A unified, automated modeling and simulation environment that orchestrates the entire digital engineering stack. It uses AI agents to handle orchestration, monitoring, and first-pass analysis, freeing engineers for strategic decisions.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed; *Crunchbase* notes a total of ~$255M in funding as of mid-2025.
- **Key Metric**: Total Funding of approximately $255M (including a $115M Series D in Jan 2021 and a $50M Series E-1 in July 2024).
- **Notable Investors/Partners**: Includes investors like Jeff Bezos (through Bezos Expeditions), Nvidia, Microsoft, and Samsung. Key technology partners include Nvidia, AWS, and Microsoft Azure.
- **Growth Signals**: Over 1,250 customers worldwide; 1,000+ independently tested security controls; 65%+ average cost reduction for customers; claims of 78% reduced R&D cycle time and 4x-8x more design candidates explored; presence in global hubs (San Francisco, New York, London, Tokyo, Seoul).

## Competitive Advantages
- **Platform Integration**: Uniquely combines managed HPC cloud infrastructure, AI-driven physics simulation, and agentic engineering automation into a single platform.
- **Hardware Agnostic, Optimized Architecture**: Provides access to over 180 specialized and optimized hardware architectures (including latest Nvidia GPUs and custom chips), which is rare for a SaaS-like platform.
- **Pre-Tuned Software Library**: Over 1,000 pre-configured and tuned HPC and AI software applications, drastically reducing setup time for engineering teams.
- **Security & Scale**: Independently tested and audited 1,000+ security controls, providing enterprise-grade governance and compliance for sensitive R&D workloads.

## Strategic Focus
- **AI-Native Simulation**: Aggressively moving beyond classic HPC batch jobs to "AI Physics" and "Agentic Engineering," aiming to make predictive simulation accessible faster and at larger scales.
- **Cloud-First Migration**: Helping large enterprises transition from on-premise HPC clusters to the public cloud (AWS, Azure, Google Cloud) via cloud bursting and migration services.
- **Global Expansion**: Strengthening presence across APAC (Tokyo, Seoul) and EMEA (London) to capture international R&D talent and customers.
- **Enterprise Scale**: Maintaining a focus on large, complex R&D use cases in aerospace, automotive, energy, and life sciences.

## Why Work Here
- **Impactful Work**: Employees contribute to projects directly accelerating breakthroughs in supersonic travel, electric vehicles, and clean energy technologies.
- **Distributed-First Philosophy**: The company operates a "Distributed-First Operating Model" allowing remote work from over 100 cities globally. Co-working spaces and hybrid hubs are available in San Francisco, New York, London, Tokyo, Seoul, and others.
- **Culture & Values ("GRIT")**: Emphasizes a "customer-first" mindset with four core values: Growth mindset, Run fast/own outcome, Iterate to innovate, and Team over self.
- **Total Rewards**: Competitive compensation (base, commission, equity), health coverage (medical/dental/vision/HSA), generous leave (parental, "fur-ternity"), flexible time off (including "Refresh Days" and "Flex Days"), and professional development funds.
- **Diversity & Inclusion**: Has employee resource groups (#OutScale, #SheScale) and Philanthropy 1% (donating 1% of work time to community service).
- **Hiring Process**: Described as human-led (no AI screening in initial resume review), with short video interviews and a focus on team fit.

## Sources
1. [Rescale About Page](https://rescale.com/company/about/)
2. [Rescale Careers Page](https://rescale.com/company/careers/)
3. [Rescale Product Page](https://rescale.com/)
4. [Rescale Open Roles (Ashby)](https://jobs.ashbyhq.com/rescale)
5. [Rescale LinkedIn Page](https://www.linkedin.com/company/rescale)

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