Top Tech Jobs & Startup Jobs

Develop and maintain Ruby on Rails applications for energy solutions, design ML-ready data pipelines, architect scalable systems, and deploy infrastructure to AWS. Responsibilities include automated testing, code reviews, DevOps support, refactoring, troubleshooting, AI-assisted development, and mentoring junior developers. The role is fully onsite in Kennett Square, Pennsylvania, five days per week.

Own the sensor system architecture for autonomous machine platforms. Define sensor selection and integration strategies, evaluate the Data Collection Kit, resolve coverage and data-quality gaps, and establish requirements for interfaces, drivers, networking, synchronization, mounting, cabling, environmental protection, diagnostics, and serviceability. Collaborate with suppliers and cross-functional hardware, software, machine platform, edge platform, and data collection teams to deliver reliable perception data streams.

Architects spatial intelligence for autonomous construction machines, including spatial reasoning, task and motion planning, implement manipulation, behavior generation, and spatially grounded VLA systems. Defines architecture, interfaces, standards, technology roadmaps, and technical tradeoffs across robotics engineering organizations. Collaborates cross-functionally to translate business requirements into scalable digital solutions, supports deployment of new technologies, and guides engineering teams in building safe autonomous capabilities. The role is full-time onsite in Irving, Texas, with relocation assistance available.

Own the end-to-end architecture of Caterpillar’s robotics platform, including middleware, runtime, inter-process communication, platform services, and onboard, edge, and cloud computing. Define APIs, standards, reference designs, and real-time execution models used by autonomy, controls, machine learning, simulation, and data teams. Lead technology evaluations, architectural roadmaps, requirements analysis, cross-functional integration, and strategic technical decisions for scalable autonomous machine deployments.

Develop machine learning, deep learning, statistical, and Generative AI solutions using equipment and telematics data. Build models for anomaly detection, failure prediction, remaining useful life, and risk assessment. Support digital products through reliability monitoring, incident response, automation, connectivity planning, technical analysis, and performance optimization. Partner with engineers and data scientists on AI, analytics, IoT, and digital product initiatives.

Develop and support AI-powered digital solutions across mobile, web, cloud, and enterprise platforms. Responsibilities include designing microservices, enabling APIs, deploying Microsoft Fabric patterns, developing AI agents, building Python data pipelines, testing software, resolving defects, evaluating emerging technologies, and contributing to UI/UX design. The role offers hands-on development, mentorship, and project ownership for candidates with up to two years of experience.

Own the compute, operating system, drivers, middleware, tools, and runtime architecture for autonomy software on NVIDIA Thor edge platforms. Define resource allocation, service orchestration, monitoring, diagnostics, fault recovery, and system integration across perception, robotics, machine interfaces, and data services. Collaborate with safety, cybersecurity, operations, and supplier teams to ensure reliable operation on autonomous construction machines.

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.