Senior Software Engineer, Simulation ML Infrastructure
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The role
Join a high-performing research engineering team to advance ultra-realistic multi-agent simulations powered by foundation models.
Collaborate with Realism Modeling teams to leverage large foundation models for improved scene fidelity and controllability of simulations.
Own the architecture and implementation of large distributed systems spanning data engineering, model development, and simulation runtimes.
Design and scale end-to-end ML lifecycles, enabling planet-scale dataset generation, model training, evaluation, and deployment.
Translate product and business goals into measurable technical deliverables and performance targets while ensuring system alignment.
Demonstrate leadership, independent problem-solving, and the ability to build reusable infrastructure and tooling for researchers and engineers.
Collaborate with Realism Modeling teams to leverage large foundation models for improved scene fidelity and controllability of simulations.
Own the architecture and implementation of large distributed systems spanning data engineering, model development, and simulation runtimes.
Design and scale end-to-end ML lifecycles, enabling planet-scale dataset generation, model training, evaluation, and deployment.
Translate product and business goals into measurable technical deliverables and performance targets while ensuring system alignment.
Demonstrate leadership, independent problem-solving, and the ability to build reusable infrastructure and tooling for researchers and engineers.
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Remote workno
CitySan Francisco, United States