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New York, New York, United States
Onsite
At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.
In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic
In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.
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.
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.
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.
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.
Bedrock Robotics is an Equal Opportunity Employer
We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.
Reasonable Accommodations
We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.
