F

Flexcompute

Cloud CAE for fluid, thermal, EM

Software Engineer - Infrastructure

Full-Time
No salary listed
Entry, Junior
Watertown, MA, USA
In Person
Software EngineeringBackend Engineering

About the job

Requirements
  • At least 2 years of experience building and operating production cloud services; new graduates with an exceptional background are also encouraged to apply.
  • Strong Python skills, including experience writing backend services rather than only scripts.
  • Hands-on experience with a major cloud provider such as AWS, Docker, and Kubernetes.
  • Production experience with infrastructure as code, ideally Terraform, using reusable modules rather than hand-managed environments.
  • Fluency in Linux and comfort operating in production.
Responsibilities
  • Design and build backend services for the Tidy3D platform.
  • Develop and operate the control plane, including APIs, services, and the data model behind task submission, job state, and result delivery.
  • Build scheduling and resource management for simulation jobs across heterogeneous GPU capacity.
  • Handle operational needs of a multi-tenant product, including authentication, authorization, usage metering, and quota enforcement.
  • Manage packaging and release to PyPI, and maintain compatibility between client and backend versions across a long tail of installed versions.
  • Own the release pipeline end to end, including versioning, continuous integration and continuous delivery, staged rollout, and rollback.
  • Standardize deployment patterns so the same product ships to the company's cloud, customer-managed cloud accounts, and on-premises installations.
  • Instrument the platform and own its monitoring and alerting.
  • Respond to incidents and debug across system boundaries, from a customer's Python traceback to a stuck job on a GPU node.
  • Manage cloud cost and capacity as usage grows.
Desired Qualifications
  • Experience with GPU or high-performance computing workloads, cluster schedulers such as Slurm, Ray, or Kueue, or high-throughput batch compute.
  • Experience designing, packaging, and distributing a developer-facing Python library or software development kit.
  • Experience with on-premises, self-hosted, or air-gapped software deployment and associated enterprise requirements, including single sign-on, network isolation, and security review.
  • A background in physics, engineering, or scientific computing, or prior work on technical software for technical users.
  • Open-source contributions to infrastructure or scientific computing projects.

About the company

Flexcompute offers cloud-based CAE (computer-aided engineering) software that provides proprietary tools for simulating fluid dynamics, thermal analysis, and electromagnetic physics. The platform is delivered as a service, letting engineers run complex simulations in the cloud without needing powerful local hardware, thereby speeding up product design and reducing development costs and risks. Its software-hardware co-design approach enhances the speed and accuracy of simulations, helping manufacturers, semiconductors, and other industries optimize designs efficiently. The company differentiates itself by combining multi-physics simulation capabilities with scalable cloud resources and a focus on making advanced computational analysis accessible to engineers and designers. The goal is to accelerate R&D cycles and enable more reliable, cost-effective hardware development.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$82M

Headquarters

Watertown, Massachusetts

Founded

2016

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What believers are saying

  • April 21, 2026 Northrop Grumman said Flexcompute cut mission prep time 100X.
  • AI data-center photonics demand rises as electrical interconnects choke large-model infrastructure.
  • March 17, 2026 AutoInsight turns legacy CFD data into real-time automotive design decisions.

What critics are saying

  • Cadence, Ansys, and Synopsys can bundle competing photonics workflows by 2027.
  • Qualified-customer access at GlobalFoundries signals narrow enterprise adoption and long procurement cycles.
  • If NVIDIA or Cadence internalize Physics AI, Flexcompute becomes a feature, not a company.

What makes Flexcompute unique

  • June 1, 2026 autonomous agents design photonic chips end-to-end without human intervention.
  • March 19, 2026 Cadence integration embeds GPU-accelerated multiphysics directly into designers' existing workflows.
  • GlobalFoundries PDK integration gives PhotonForge foundry-verified photonics parameters unavailable in generic simulators.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Gym Membership
  • Company Equity
  • Remote Work Options
  • Flexible Work Hours

Growth & Insights and Company News

6 month growth

-2%

1 year growth

-2%

2 year growth

0%
Angel Business Communications Ltd
Oct 15th, 2026
Flexcompute launches PhotonForge 2.0.

Flexcompute launches PhotonForge 2.0. Thursday 15th October 2026 The platform automates photonic integrated circuit design from schematic to tapeout, with AI agent integration and links to physics simulation tools. Flexcompute has released PhotonForge 2.0, an end-to-end design automation platform for photonic integrated circuits (PICs), enabling engineers and AI agents to collaborate across design, simulation and verification workflows. The platform supports schematic design, layout, circuit simulation, design rule checking (DRC) and layout-versus-schematic (LVS) verification. It integrates with Flexcompute's Tidy3D multiphysics solvers to model optical, thermal, electrical and radio-frequency behaviour. PhotonForge 2.0 supports AI agents through the Model Context Protocol (MCP) and a Python API, allowing automated chip placement, routing, rule checking and simulation. Its free Community edition offers unlimited seats for research and commercial use, while the Enterprise edition adds foundry process design kit (PDK) integration, electronic design automation (EDA) connectors and design traceability. The launch comes amid growing demand for photonic technologies in AI data centres, where near-packaged and co-packaged optics are being developed to address increasing bandwidth requirements. By streamlining PIC design and verification, the platform aims to support the development of photonic chips for emerging optical interconnect applications. PhotonForge 2.0 Community is available through PyPI, with enterprise capabilities targeting organisations requiring integration with existing design workflows and foundry processes.

RuntimeWire
Oct 12th, 2026
Flexcompute raises strategic investment from Samsung Ventures and Applied Ventures.

Flexcompute raises strategic investment from Samsung Ventures and Applied Ventures. The investment will fund research and GPU capacity; Flexcompute disclosed neither its size nor the identities of other participants. By RuntimeWire Staff - Published Oct 12th, 2026, 10:15am CT - 4 MIN READ - 4 SOURCES - VIA PR Newswire Listen to article. Flexcompute's co-founder, Zongfu Yu, built the company around a familiar engineering frustration: getting an answer from a simulation could take longer than thinking up the next design. On October 12th, Flexcompute announced a strategic investment from Samsung Ventures and Applied Ventures, the venture arm of... RuntimeWire, Inc. get virtually zero search traffic. Please consider sharing this story. Signal check Noise Signal Where does this story land? Drag the dial. The startup Flexcompute builds trusted, GPU-native physics simulation and AI automation for engineering teams. Flexcompute provides GPU-native physics simulation and AI-powered automation for teams designing aircraft, vehicles, chips, and photonics. Its platform combines geometry processing, AI-accelerated analysis, automated design optimization, and GPU-native solvers to deliver faster, traceable physics-based answers and build living "Physics Twins" of designs. The company says it is trusted by more than 250 companies and academic institutions, including Anduril, Coherent, Joby, Northrop Grumman, Samsung, and Xanadu. Its site reports more than 100 team members, 65 PhDs, and 20,000 users, and describes a cloud-first architecture designed to scale simulation resources elastically. Investors. Samsung Ventures Applied Ventures Stay on the wire. Breaking startup & AI news, funding scoops, and launches as they happen. Follow @runtimewire on Threads and LinkedIn.

PR Newswire
Oct 12th, 2026
Flexcompute gets Samsung and Applied Materials backing for physics-based AI world model

Flexcompute, a Boston-based physics AI company, has raised strategic investment from Samsung Ventures and Applied Ventures, the venture arm of Applied Materials, among other investors. The amount was not disclosed. The money will fund work on the Physics World Model, AI that predicts how a design will behave in the real world by learning the laws of physics rather than only patterns in data. Flexcompute will use it to grow its research team, scale GPU compute, and extend the model across fluids, electromagnetics, structures, heat, and multiphysics couplings. Flexcompute says it solved a 5-billion degree-of-freedom warpage model of a full advanced semiconductor package within 2% of commercial finite-element results in minutes. Customers access the model through Physics Twins, and more than 250 companies use its tools.

PR Newswire
Oct 6th, 2026
Flexcompute collaborates with Starlab and Voyager on gpu-native simulation of critical Space Station Life Support System.

Flexcompute collaborates with Starlab and Voyager on gpu-native simulation of critical Space Station Life Support System. Oct 06, 2026, 08:49 ET Leading CFD platform provider helps Starlab's life support team model airflow inside the commercial successor to the International Space Station BOSTON, Oct. 6, 2026 /PRNewswire/ - Flexcompute, the physics company, today announced it is collaborating with Starlab Space and Voyager Technologies (NYSE: VOYG) to simulate cabin airflow inside Starlab, the commercial space station designed to succeed the International Space Station (ISS). On a space station, air does not move on its own. In microgravity, warm air does not rise, and the carbon dioxide crew members exhale can linger around them unless the ventilation system keeps it moving. Starlab's Environmental Control and Life Support System (ECLSS) has to circulate fresh air through every part of the station and keep the crew comfortable. Because Starlab is designed to launch in a single flight, that design has to be right before it leaves the ground. Flexcompute used Flow360, its GPU-native computational fluid dynamics (CFD) platform, and GeometryAI, its automated geometry preparation engine, to model airflow across the full station interior. The first study closely matched Starlab's existing models in a fraction of the time traditional CFD tools take. The teams are now extending the work to model how the carbon dioxide crew members exhale moves through the cabin and how the life support system removes it. "Building a commercial space station takes partners who move at our pace," said Jonathan O'Neill, Atmosphere Management System Lead at Starlab Space. "Flexcompute's engineers paved new ground in cabin ventilation CFD. That level of expert support gives us more confidence as Starlab moves from design into production." "Life support airflow can't be fully tested on the ground, so simulation carries much of the design work," said Vera Yang, Co-founder and President of Flexcompute. "Working with Starlab's ECLSS team shows what GPU-native physics makes possible for commercial space: faster answers, earlier in design, so engineers can move forward with confidence." About Starlab Starlab Space is a U.S.-led, global joint venture among Voyager Technologies (NYSE: VOYG), Airbus, Mitsubishi Corporation, MDA Space, Palantir Technologies, and Space Applications Services, with strategic partners including Hilton, Journey, Northrop Grumman, and The Ohio State University. Starlab is developing a next-generation, AI-enabled commercial space station to ensure continued human presence in low Earth orbit and a seamless transition of microgravity science and research alongside the retirement of the International Space Station. Starlab's advanced, user-driven design and robust capabilities make it a premier platform for scientific discovery and technological advancement in space. For more information, visit starlab-space.com. About Flexcompute Flexcompute is a frontier AI lab building a Physics World Model that bridges data-driven AI and the laws of physics. Founded by researchers from Stanford and MIT, its team of more than 70 PhDs develop GPU-native solvers for fluid dynamics, electromagnetics, structures and heat, and integrate physics-based computation into AI agents through tokenized physics. This creates a verification layer that grounds AI predictions in trusted physics and helps engineers and AI agents evaluate how designs will perform before they are built. Engineering teams at more than 250 companies across aerospace, automotive, semiconductors, photonics and advanced manufacturing use Flexcompute to evaluate, explore and optimize designs, allowing them to innovate with confidence. Learn more at flexcompute.com. | Media Contacts | / | | Flexcompute | Starlab Space | | Silvie Casanova | Melissa Price | | [email protected] | [email protected] | | Voyager Technologies | / | | Nora Ellish | / | | [email protected] | / | SOURCE FlexCompute Inc.

PR Newswire
Jun 1st, 2026
Flexcompute launches autonomous AI agents for photonic chip design in hours

Flexcompute has introduced the first fully autonomous agent-driven system for end-to-end photonic chip design. The system uses AI agents to propose designs, run physics simulations, verify fabrication constraints and iterate independently, producing tapeout-ready layouts in hours rather than weeks. The technology combines Tidy3D Multiphysics solver, PhotonForge foundry process design kits, and GPU clusters to enable rapid iteration across optical, electrical and thermal physics. Agents now complete designs that previously required senior photonic engineers, finishing them in overnight runs. Flexcompute is among the first companies deploying autonomous AI engineers with NVIDIA NemoClaw, announced at COMPUTEX 2026. The system works across platforms including Anthropic's Claude and OpenAI's Codex. The architecture will extend to electromagnetics, heat transfer and computational fluid dynamics applications.