Founding Engineer (ML Systems) – Godela

Godela
San Francisco
Workplace: OnsiteFull timeUSD 120,000 - 180,000 annuallyFunction: Entrepreneurship & Venture BuildingExperience: 3+ yearsSkills: ["Problem-solving","Communication","Teamwork"]

Founding ML Engineer to build and scale the world’s first Physics Foundation Model. You will develop scalable, physics-informed ML systems, design multi-physics architectures, and optimize training across distributed GPUs, with AWS-based infra. Join a startup-like environment to take ML infrastructure from prototype to production, enabling engineers to run simulations and experiments faster.

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FursaFursa
Godela
Godela
10 months ago

Founding Engineer (ML Systems) – Godela

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Last checked: 1 day agoStatus: Live

Job Summary

Founding ML Engineer to build and scale the world’s first Physics Foundation Model. You will develop scalable, physics-informed ML systems, design multi-physics architectures, and optimize training across distributed GPUs, with AWS-based infra. Join a startup-like environment to take ML infrastructure from prototype to production, enabling engineers to run simulations and experiments faster.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Entrepreneurship & Venture Building

Key Responsibilities

  • •Develop scalable approaches to train high-accuracy, large-scale physics-informed models.
  • •Design and test new architectures for multi-physics and multi-scale modeling.
  • •Optimize training efficiency through distributed computing, GPU optimization, and performance tuning.
  • •Productionize ML systems and deploy large-scale ML models with GPU acceleration and distributed workloads.
  • •Help build training pipelines and ML infrastructure that supports real-world products.

Pay and Benefits

Salary: USD 120,000 - 180,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Strong Python + PyTorch (or JAX/TF) skills.
  • •Proven experience delivering ML systems into production
  • •Experience with multi-GPU / multi-node training
  • •Experience training and deploying large-scale ML models with GPU acceleration and distributed workloads.
  • •Hands-on AWS experience (compute, storage, IAM, cuda) or other cloud infra provider.
Experience:3+ yearsMachine learningAIPhysicsStartupsHigh-performance computing
Skills:Problem-solvingCommunicationTeamwork
Tech Stack:PythonPyTorchJAXTensorFlowAWSGPUDistributedDockerKubernetesSlurm

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Godela
Godela develops AI-powered tools to assist software development and engineering workflows, offering code generation, automation, and integration features to boost developer productivity and accelerate application delivery across teams.
Industry: Developer Tools
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