• Develop and maintain the Manufacturing Data Platform, orchestrating data exchange between systems and manufacturing operations. • Ensure seamless data flow across all production systems and maintain 24/7 operational reliability. • Design and implement robust data exchange pipelines between manufacturing systems. • Develop and maintain core manufacturing database features and integrations. • Develop and maintain system monitoring and observability solutions. • Ensure ERP synchronization and accurate data flow across manufacturing systems. • Support integration with data analytics platforms and historical data migration. • Optimize system performance and reliability, ensuring operational uptime. • Provide technical consultation on data-related topics and system integrations.

• Core Platform Engineering: Build and scale highly resilient, adaptable fintech platforms and component services utilizing core Java. • Extreme Programming Collaboration: Engage in full-time pair programming to foster knowledge sharing, maintain zero technical silos, and optimize code quality. • Continuous Refactoring: Constantly analyze and refactor production code to elevate design frameworks, minimize technical debt, and preserve system agility. • Comprehensive Test Architecture: Author robust automated test suites, participating in a sophisticated continuous integration ecosystem where thousands of tests rapidly validate every single commit. • Process Automation: Identify, script, and automate repetitive tasks to optimize operational efficiency across the development lifecycle. • Trunk-Based Delivery: Operate within a mature trunk-based development and continuous integration setup, treating each code modification as an immediately releasable asset. • Cross-System Rotation: Shift periodically across teams to maintain comprehensive visibility into the entire codebase, driving an shared ownership mindset. • Performance Optimization: Account for throughput, high availability, and ultra-low latency constraints when delivering core features.

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.

• As part of the Development team as a Full-Stack Developer, you will be instrumental in building and scaling our platforms and products. • You will work across our entire A.I technology stack to deliver a seamless and powerful user experience. • You will be joining projects with a shipping fast approach and a modern tech stack. • Design, implement, and maintain RESTful APIs with NextJS/Express to manage user authentication, data processing, and orchestrate analysis workflows. • Model Context Protocol (MCP) Knowledge Agents with Claude SDK: to Build AI agents access to real-time data, APIs, and tools Create AI Agents that can actually take actions, Combine the reasoning power of LLMs with real-world integration. • Build AI Agents with LangGraph + LangFuse that can handle multi-step reasoning, Create workflows where AI agents collaborate or hand off tasks to other agents. Maintain conversation state and context across interactions and Handle complex decision trees and conditional logic. • Develop and maintain features on both our React frontend and Node.js (NextJS) backend. • Build intuitive user interfaces using TypeScript, Vite, React and our UI component library, enabling users to upload media, manage their analyses, and interact with our web delivered product. • Integrate our platform with various external services like Payment Service Providers and APIs, and handle incoming webhooks for processing asynchronous tasks. • Collaborate closely with AI product managers and AI specialists to translate complex requirements into robust, scalable features expressed in AI design prompts. • Contribute to database schema design and write migrations for our PostgreSQL & BigQuery databases. • Knowledge of GCP to Collaborate with the team on application deployment and help maintain our cloud infrastructure on Google Cloud Platform.