American Turbines Logo

American Turbines

Director of Aerodynamics

Posted 3 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
Own aerodynamic design of compressor and turbine stages for small modular gas turbines, from flow-path architecture and meanline modeling through 3D blade design, CFD, hardware testing, and test correlation. The role determines efficiency, stability, operating range, stage count, and manufacturability while closing the loop between simulation and measured performance.
The summary above was generated by AI

About American Turbines

The power grid was built for a world that no longer exists. Centralized generation, hundred-mile transmission lines, decade-long permitting cycles. Meanwhile, demand is exploding: AI data centers, industrial electrification, remote operations that need megawatts yesterday and can't wait for utilities to catch up.

American Turbines is designing small modular gas turbines, purpose-built for distributed power generation. Machines designed from a blank sheet to be manufactured at scale, clustered in arrays. Hundreds of units operating in parallel, dynamically matching load like a compute cluster matches demand. We are a seed-stage company backed by the investors behind SpaceX, Boom Supersonic, and Hadrian.

About the Role

The Aerodynamics Engineer will own the aerodynamic design of both the compressor and turbine stages, from meanline modeling through detailed 3D blade shaping and test correlation. You will directly determine the efficiency, stability, and operating range of the machine.

You will define the flow path architecture, set the stage count, and design the blade profiles that make this turbine produce power. You will run the CFD, interpret the results, and make the calls on when the design is good enough to cut metal. When hardware comes back from the shop, you will instrument it, run it, and close the loop between prediction and measurement.

What We’re Looking For

Experience in turbomachinery aerodynamic design, ideally across both compressor and turbine stages. Proficiency with meanline and throughflow tools, 3D CFD (ANSYS CFX, Numeca, or equivalent), and blade parametric design. Familiarity with small gas turbines, turbochargers, or turboshaft engines is strongly preferred.

You understand the tradeoffs between efficiency, surge margin, and manufacturability. You can move fast between conceptual sizing and detailed design without losing rigor. You've seen hardware run and know what CFD gets right and what it gets wrong.

Similar Jobs

20 Minutes Ago
Hybrid
Palo Alto, CA, USA
Senior level
Senior level
Financial Services
Leads end-to-end applied AI and machine learning solutions for payment trust, safety, fraud prevention, and operational efficiency. Defines AI/ML strategy, data and evaluation plans, production deployment, model lifecycle practices, monitoring, and incident response. Partners with product, engineering, risk, compliance, and senior stakeholders while remaining hands-on with ML, NLP, document extraction, and cloud-based systems. Drives technical reviews, communicates tradeoffs, and ensures reliable, explainable, audit-ready solutions.
Top Skills: Amazon Web ServicesSparkClassical Machine LearningComputer VisionContinuous Integration And Continuous DeliveryGraph Neural NetworksMachine Learning OperationsModel RegistriesNatural Language ProcessingNeural NetworksOptical Character RecognitionPythonPyTorchReal-Time Event-Driven ArchitecturesSQLTensorFlowTransformer Models
3 Hours Ago
Hybrid
15-18 Hourly
Entry level
15-18 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
The Barista II delivers exceptional customer experiences, engages guests, drives sales, maintains operational standards, and collaborates with team members.
4 Hours Ago
Remote or Hybrid
2 Locations
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.
Top Skills: Agentic AiAi GovernanceAi ObservabilityAWSAws UltraclustersAzureC#C++CudaFoundation ModelsGoGCPHugging FaceJavaLarge Language ModelsModel EvaluationMulti-Agent WorkflowsPythonPyTorchScalaSimilarity SearchVectordbs

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account