Top Tech Jobs & Startup Jobs

Own the architecture strategy for construction site scanning and site intelligence. Evaluate robotic, lidar, photogrammetry, drone, imaging, sensor, BIM, and AI technologies; define 3D data requirements and downstream workflows; and recommend build, buy, or partner strategies. The role supports autonomy, simulation, operations, validation, inspections, progress tracking, and customer reporting while collaborating with perception, robotics, field, operations, and technology partners.

Own the architecture for autonomous-machine perception systems, including modular machine learning, camera and point-cloud detection, sensor fusion, object tracking, object persistence, and 3D mapping. Define interfaces for robotics, simulation, world modeling, validation, and safety analysis. Collaborate with edge platform, robotics, and simulation teams to convert perception algorithms into reliable autonomy capabilities for construction and off-road environments.

Owns the validation architecture for autonomous robotics systems, including evaluation methodology, metrics, benchmarking, scenario coverage, sim-to-real validation, and simulation requirements. Defines safety and deployment-readiness criteria, leads technology evaluations, develops technical architecture and roadmaps, and collaborates across engineering and simulation teams to validate autonomous machines from simulation through real-world deployment.

Support and help implement enterprise applications: gather requirements, assist in application design and integration, perform system testing and troubleshooting, create technical documentation, and collaborate with cross-functional teams to deliver scalable technology solutions.

Architects agentic robotics systems that enable autonomous machines to plan, decompose tasks, select tools, manage memory and state, reason over long horizons, and connect planning with VLA and behavior generation. Designs application and platform architectures, evaluates and deploys technologies, defines technical roadmaps and standards, and partners with cross-functional engineering teams. The role provides strategic technical leadership, influences senior stakeholders, and guides multiple engineering organizations in delivering scalable AI and robotics capabilities.

Leads product strategy for in-cab experiences and AI Assist features. Defines product requirements, capabilities, priorities, investments, roadmaps, success metrics, and long-term plans. Analyzes market and competitive conditions, tracks product performance, and aligns commercial, strategy, engineering, and new product introduction stakeholders to deliver customer-focused outcomes.

Provides production support and platform stability for Azure cloud services and APIs. Owns incident resolution, coordinates cross-team troubleshooting, leads root cause analysis, maintains monitoring and operational runbooks, and drives reliability improvements. The role also supports on-call response, release and rollback processes, knowledge transfer, and operational readiness across distributed cloud services.

Leads an AI Evaluation Engineering team responsible for validating generative AI products, including intelligent agents and digital assistants. Provides technical direction, manages team performance and development, owns product quality, and establishes engineering best practices. The role requires expertise in GenAI architecture, evaluation methodologies, observability, automated testing, cloud and edge environments, reliability, safety, RAG assessment, and human-in-the-loop validation.

Lead and develop a software engineering team building cloud-native AI agents, assistants, orchestration frameworks, tooling, and observability solutions. Own technical strategy, architecture, delivery, reliability, security, scalability, operational excellence, and production support. Partner with product, data science, architecture, and business teams while managing releases, resources, risks, and multiple initiatives. Coach engineers, improve engineering practices, and ensure responsible AI and governance compliance.

Perform independent software testing and quality assurance for complex applications and infrastructure. Design and execute automated, regression, integration, performance, and user acceptance tests; develop automation frameworks and test code; document and track defects; collaborate with product owners, developers, and end users; and support debugging, continuous integration, delivery, and end-to-end system testing.