Hiring: Simulation Infrastructure Engineer Company: Bedrock Robotics Location: New York, NY Job Posted Time: 2026-09-09 18:04:09 Target Skills & Keywords : API Design, AWS, Cloud Native, Data Pipeline, Make, Python, REST, Segment, containerd, gRPC About the job Experience: •6+ years of professional software engineering experience with demonstrated ownership of production systems. Required Skills: •You’ll be the Cloud team’s point person for simulation. Your job is to integrate our simulators into the rest of Bedrock’s Cloud platform and to make sure simulation engineers and the ML engineers who depend on sim are as efficient as they can possibly be. You’ll sit on the Cloud Platform team, work closely with the rest of Cloud, and partner daily with the Sim team, who own the simulators themselves, scenarios, and evaluation. •This is a high leverage generalist platform role—you’ll be building the distributed systems, deployment plumbing, data pipelines, and internal tooling that turn each simulator into a capability the whole company can use. •Also, you get to drive 100,000 lb excavators. •What You’ll Do •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. •What We’re Looking For •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. You’re comfortable in AWS, understand distributed systems concepts (orchestration, state management, retries, spot/preemptible compute), and can reason about cost and performance trade-offs. •Experience with deployment and service integration. gRPC, container orchestration, instrumentation. You’ve owned the operational glue between systems before. •Generalist platform sensibility. Comfortable working across the stack: backend services, data pipelines, CI systems, and internal UIs. You care about how the whole loop feels for the engineers using it. •Strong written communication and a bias toward small, well-instrumented systems over heavy frameworks. Qualifications: •Experience with Ray or comparable dist Compensation: •$3 •$5 •$350 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!