Senior ML Engineer, Core Development

Anduril
United States
Workplace: OnsiteFull timeUSD 220,000 - 292,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Mentorship","Collaboration","Technical mentorship"]

Own the end-to-end surrogate modeling stack that accelerates physics simulations for air vehicle design. Build, train, and deploy production-grade physics ML surrogate models across CFD, FEA, and thermal workflows, including architectures, uncertainty quantification, and active learning/inverse problems. Create data pipelines from solver outputs, optimize GPU inference for the design loop, and integrate predictions into tools used by domain engineers—while mentoring non-ML engineers.

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FursaFursa
Anduril
Anduril
2 days ago

Senior ML Engineer, Core Development

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Own the end-to-end surrogate modeling stack that accelerates physics simulations for air vehicle design. Build, train, and deploy production-grade physics ML surrogate models across CFD, FEA, and thermal workflows, including architectures, uncertainty quantification, and active learning/inverse problems. Create data pipelines from solver outputs, optimize GPU inference for the design loop, and integrate predictions into tools used by domain engineers—while mentoring non-ML engineers.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the end-to-end design, training, and deployment of production-grade surrogate models to accelerate simulation workflows across CFD, FEA, thermal, structural, and aeroelastic use cases.
  • •Design and implement neural architectures for engineering physics, including uncertainty quantification, active learning, and inverse problems (e.g., geometry/shape optimization).
  • •Build robust data and training infrastructure by extracting, aggregating, and sanitizing tens of thousands of high-fidelity results from solver outputs.
  • •Optimize surrogate inference for the design loop, maximizing GPU utilization, batched evaluation, and interactive-speed latency, and integrate predictions into domain tooling.
  • •Collaborate with domain engineers to identify where ML provides the highest leverage, stay current with Physics AI research, and provide technical mentorship to non-ML engineers.

Pay and Benefits

Salary: USD 220,000 - 292,000 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in aerospace, thermal, mechanical, or electrical engineering (or machine learning/AI/data science) with a demonstrated engineering foundation.
  • •3+ years of experience taking ML models from R&D into production using large-scale scientific or engineering datasets.
  • •Hands-on physics ML experience with modern surrogate architectures (e.g., GNNs, Transolver, DoMINO & GeoTransolver) and use of physical simulations (CFD, FEA, thermal, etc.).
  • •Proficiency in Python and MATLAB; experience with PyTorch, TensorFlow, NVIDIA PhysicsNeMo (Modulus); and development on Linux with GPU accelerators and distributed training.
  • •Track record building production data pipelines from heterogeneous engineering sources, including uncertainty quantification and statistical analysis, plus data science dashboards.
Experience:3+ yearsMachine learningScientific simulationAerospaceDefense technology
Skills:MentorshipCollaborationTechnical mentorship
Languages:English
Tech Stack:PythonMATLABPyTorchTensorFlowNVIDIA PhysicsNeMo (Modulus)LinuxGPU acceleratorsDistributed trainingGNNsTransolverDoMINOGeoTransolverCFDFEADockerWeights & BiasesAWS S3LambdaSageMakerPlotly

Eligibility

Security Clearance:Top Secret

Company Brief

Anduril
Designs and builds advanced defense systems combining autonomous aircraft, sensors, and AI-driven software for military and national security applications, focused on modernizing battlefield capabilities and distributed sensing.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Costa Mesa, United States
Founded: 2017
WebsiteLinkedIn