Simulation Infrastructure Engineer

Join the team bringing advanced autonomy to the built world

At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

The Role

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.

Preferred Qualifications

• Experience with Ray or comparable distributed compute frameworks (Spark, Kubernetes-native job systems, etc.).

• Experience operating on large scale data systems – by amount of PB, flops or number of vCPUs.

• Experience in an early-stage startup environment designing, building, and launching new platform capabilities from scratch.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.