O

Orbital Industries

AI-driven materials design for data centers

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • Strong software engineering fundamentals and a track record of independently building, shipping, and operating production software.
  • A track record of succeeding in ambiguous, fast-moving environments where requirements evolve through direct iteration with users.
  • The ability to move fluidly between conversations with customer scientists and engineers and deep technical implementation work.
  • Experience deploying software into complex production environments.
  • A genuine interest in building software that enables scientific and industrial applications.

Responsibilities

  • Deliver complex customer deployments hands-on by writing production code, designing architectures, building integrations, and debugging issues across CurieOS and customer systems.
  • Design and build systems that connect heterogeneous software, data, and physical infrastructure, including simulation campaigns, digital twins, lab instruments, test rigs, and CAD/PLM systems.
  • Build solutions that become embedded in how customer scientists and engineers work day to day.
  • Embed with customer teams to understand ambiguous, high-value research and development problems, challenge assumptions, and identify where CurieOS can deliver impact.
  • Translate customer problems into a technical approach, milestones, and acceptance criteria, making pragmatic architecture and scope trade-offs as understanding evolves.
  • Build evaluation loops with customer scientists and engineers, defining workflow-specific benchmarks and acceptance criteria to demonstrate that systems work in their environment.
  • Own engagements from initial technical discovery through implementation, production deployment, and adoption, including technical quality.
  • Track engagement KPIs, including screening throughput, design-cycle reduction, and experiments avoided, and communicate progress and outcomes to customer stakeholders.
  • Rapidly upskill across unfamiliar scientific and engineering domains by collaborating with domain experts; prior chemistry, materials, or engineering experience is not required.
  • Codify successful approaches into reusable integration patterns, tooling, and playbooks so subsequent engagements can be delivered more efficiently.
  • Provide field feedback to the platform engineering team to inform the CurieOS roadmap.

About the Company

Orbital Industries

AI-driven materials design for data centers

Orbital Materials designs and deploys an AI-driven materials discovery platform for advanced industries, starting with data centers. Its core system combines LINUS, a generative AI that designs material structures from target properties, with Orb, an open-source simulator that models materials at a quantum-physics level to enable design-before-experiment testing. The company’s products include the Orbital Dual Use Chiller, which uses waste heat to capture water or CO2, and a highly efficient direct-to-chip liquid cooling solution for dense deployments, supported by partnerships with AWS, NVIDIA, and Civo. Its goal is to shorten materials development timelines and advance sustainable data-center cooling, carbon capture, and water efficiency to support industrial decarbonization.

Company size
51-200
Company stage
Series B
Total funding
$70.8M
Headquarters
London, United Kingdom
Founded
2022

Recently Posted Jobs

Explore more opportunities at Orbital Industries

See more jobs