Bedrock Robotics

• Own the scaling playbook for Bedrock’s Fleet & Data Operations from 6 active states to 15+ — including org structure, SLA design, and in-house vs. dealer/3P decisions. • Develop and manage structured programs with CAT dealers, independent service providers, and technology partners across the East Coast and beyond, defining scope, performance standards, and accountability frameworks. • Evaluate and onboard new vendors and distributor service arms; build the contractual and operational scaffolding (SLAs, rev-share structures, escalation paths) for sustained performance at scale. • Serve as Bedrock’s primary operational point of contact for fleet partner relationships — including advanced technology groups at major CAT and OEM dealer networks. • Translate lessons from dealer-ecosystem SLA and subscription service models into Bedrock’s upfit and maintenance operations. • Provide field supervision for autonomy kit installations (upfit and de-kit) on customer CAT iron, ensuring every install is safe, repeatable, and fully reversible per Bedrock specification. • Lead commissioning and acceptance processes at customer job sites coordinating Bedrock technicians, dealer service teams, and GC site personnel. • Supervise and coordinate the rollout of new technology, tools, and process changes in the field; serve as the operational agent ensuring change lands correctly before scale-out. • Drive new systems and software implementations into the field workflow including fleet management platforms, data collection tooling, and service management systems from pilot through full deployment. • Troubleshoot and resolve escalations on machine uptime, data pipeline integrity, and install quality; own the loop back to engineering with structured field observations. • Own and drive safety initiatives for the department to ensure technicians are safe and in alignment with Partner expectations and construction industry standards. • Guarantee terabyte-scale data collection per machine per day defining processes and partner accountabilities to ensure engineering’s evaluation engine never goes dark. • Set and manage machine uptime and turnaround SLAs across a distributed fleet; design the operational model (staffing, parts logistics, escalation) to meet them as headcount and geography expand. • Build and run the operating cadence (WBR/MBR/QBR) for fleet performance: define KPIs, own the dashboards, drive the corrective actions. • Partner with Engineering and Product to translate uptime and data quality requirements into field-executable standards and partner contracts. • Manage a distributed team of mobile fleet technicians across the East Coast deployment footprint, with accountability for hiring bar, onboarding rigor, and field performance standards. • Design the team structure, routing, and dispatch model to balance machine uptime response against the economics of a field workforce spread across multiple states and job sites. • Partner with Commercial on customer-facing commitments; translate GC and hyperscaler expectations into operational requirements the fleet team can execute reliably with Partners. • Mentor and develop field team leads & supervisors; build the management layer that keeps performance consistent as the team grows. • Experience in an Advanced Technology Group (ATG) or construction technology P&L within a major CAT dealer, OEM, or heavy equipment distributor. • Background in autonomy, machine control, or connected fleet solutions • Familiarity with fleet data systems telematics platforms, data pipeline tooling, or IoT-adjacent infrastructure for heavy assets. • Experience structuring and executing in-house vs. 3P build decisions for field service operations at scale. • Prior experience with hyperscaler or large GC customer relationships in a technical operations or account role. • Understanding of machine lifecycle economics: upfit → operate → de-kit → redeploy, including reversibility requirements and customer asset protection.

Software Engineer, Embedded Linux Location San Francisco, CA Employment Type Full time Location Type Hybrid Department Engineering OverviewApplication 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 Onboard Infrastructure team is responsible for the base platform software and middleware running on our onboard computer and safety controller. From board bring-up through application development, we build our entire stack in Rust. We are looking for a Senior or Staff Software Engineer to join our team to architect, develop, and optimize the base software for our onboard autonomy computer—ensuring our autonomy stack has a secure, deterministic, and highly optimized foundation to run on. In This Role, You Will - Architect and maintain the embedded Linux stack for our NVIDIA Jetson platform, including board bring-up, kernel configuration, and OS customization - Develop and optimize low-level drivers for high-bandwidth sensors such as cameras and lidars, ensuring low-latency, low-overhead data ingestion - Implement system services including OTA updates, secure provisioning, telemetry, and system health monitoring - Manage Linux userspace configuration (device management, networking, process management, time synchronization) - Optimize system performance across CPU and GPU, leveraging CUDA where appropriate - Harden the platform for mixed-criticality real-time workloads using PREEMPT_RT, process isolation, and security best practices Required Qualifications - 8+ years of embedded Linux experience in robotics, autonomous systems, or high-performance embedded environments - Expert knowledge of Linux systems programming, including kernel, device drivers, and hardware interfaces - Strong experience with Linux services and userspace tooling (systemd, udev, networkd, shell scripting) - Proficiency in C, C++, or Rust, with enthusiasm to work primarily in Rust - Proven technical leadership: owning projects, driving design decisions, mentoring engineers, and collaborating cross-functionally Preferred Qualifications - Experience with the NVIDIA Jetson ecosystem (JetPack) - Professional experience using Rust in embedded Linux environments - Background in robotics or autonomous vehicles, including CUDA-accelerated sensor pipelines - Experience with real-time Linux (PREEMPT_RT) and tuning mixed-criticality systems - Familiarity with building custom Linux distributions using Yocto / OpenEmbedded 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.

• Lead the onsite deployment of autonomous excavators. • Run evaluations on site data to predict autonomous performance and validate release readiness before the buckets start digging. • Debug complex issues across the entire stack—from hydraulic sensors and compute hardware to high-level behavior. • Collaborate closely with Partnerships to identify new customer sites that align with our product roadmap and provide technical feedback. • Translate "robot-speak" into value.