Simulation Infrastructure Engineer
Hybrid (New York, NY)Full-timePosted 3mo ago
About the role
Join Bedrock Robotics as a Simulation Infrastructure Engineer to integrate simulators into Bedrock’s Cloud platform, build distributed systems and tooling for scalable simulation workflows, and support both simulation and ML engineers. This is a Cloud Platform generalist role with a hands-on, end-to-end impact across deployment, data pipelines, and internal tooling, enabling efficient simulation for autonomous construction robotics.
Responsibilities
- Integrate simulators into the Cloud platform. Own the seam between our simulators and the rest of Cloud: how a simulator job gets deployed, how its physics and rendering components are packaged and plumbed together, how it’s instrumented, and how it runs efficiently at scale.
- Run sim reliably in automation. Make it trivially easy to kick off simulation workflows as part of CI, and keep the nightly sim workflows that gate our releases reliable and fast.
- Be Cloud’s point person for simulation engineers. Translate the Sim team’s needs into platform work, push composable primitives back into the rest of Cloud, and obsess over removing friction from the sim workflow so engineers can iterate as fast as possible.
- Prepare for what’s next. Sim at Bedrock is evolving quickly. You’ll help us evaluate options and stand up the infrastructure for whichever directions we commit to.
Qualifications
- 6+ years of professional software engineering experience with demonstrated ownership of production systems.
- Strong Python skills and comfort with API design, async patterns, and cloud-native development.
- Solid cloud infrastructure background. Comfortable in AWS; understand distributed systems concepts (orchestration, state management, retries, spot/preemptible compute); can reason about cost and performance trade-offs.
- Experience with deployment and service integration. gRPC, container orchestration, instrumentation. Own the operational glue between systems before.
- Generalist platform sensibility. Comfortable across backend services, data pipelines, CI systems, and internal UIs. Focus on the engineer experience.
Skills
Required:PythonCloud infrastructure (AWS)Distributed systemsDeployment and service integrationGeneralist platform thinkingCommunication
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Bedrock Robotics
Advanced Autonomy for the Built World
Advanced Autonomy for the Built World
AutonomyBedrock Operatorautonomyheavy machineryindustrial automationindustrial roboticsmachine intelligenceon-site autonomy
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