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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Delivery Consultant, Emerging Tech - **Company:** Amazon.com, Inc. - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $153,600.0 - $207,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Computer Vision, C++ (Programming Language), CAN Bus, Cloud Computing, Cloud Database, Nvidia CUDA, Software Debugging, Digital Technology, Middleware, Ethernet, Supervisory Control and Data Acquisition (SCADA), Virtual Private Networks (VPN), Python (Programming Language), Kinematics, Modbus, Message Queuing Telemetry Transport (MQTT), OPC Unified Architecture, Sensor Fusion, Systems Integration, Toolchain, AI Infrastructure, Reinforcement Learning, Wi-Fi Technology, Digital Twin, Graphics Processing Unit (GPU), Warehouse Management Systems, 5G NR, AI Coding Agents, Isaac Sim, Information Technology, Enterprise Integration, Machine Learning Operations, TensorRT, NVIDIA Jetson, IoT Security, Aws Iot, Lidar, Data Pipelines, GNSS - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d6d094f47512c8c0 ## About the Role * 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience * 5+ years of hands-on experience building and deploying robotics, autonomous systems, or industrial automation (for example AMR/AGV, robotic arms, autonomous vehicles, drones, humanoids, legged robots, or production-line automation systems) * Experience with ROS 2 or equivalent robotics middleware * Bachelor's degree in Robotics, Mechatronics, Electrical/Computer/Mechanical Engineering, Computer Science, or equivalent practical experience * Experience programming in Python and C++, * AWS Professional level certification * 3+ years implementing Physical AI projects such as digital twin or simulation environments, robot policy or perception model training, autonomous system deployment, ROS 2 or equivalent robotics middleware integration, or edge inference on Jetson-class hardware * Delivery experience across two or more of: warehouse or production-line automation, AMR/AGV or robotic-arm deployment, autonomous vehicle or drone deployment, industrial digital twin or simulation, edge AI and computer vision, OT integration, or supply chain and manufacturing optimization * Familiarity with the AWS Physical AI stack (Physical AI Toolchain on AWS, IoT Core, Greengrass v2, SiteWise, TwinMaker, SageMaker, Bedrock, Kinesis Video Streams, S3/Glue/Athena, EKS or Batch, CDK) and the NVIDIA robotics stack (Isaac Sim/Lab/ROS, Omniverse, OpenUSD, Jetson, TensorRT, CUDA) * Experience with autonomy and sim-to-real: perception, SLAM and localization, pose estimation, GNSS/IMU fusion with RTK corrections, NAV2, MoveIt, kinematics, trajectory optimization, real-time control, sensor fusion, multi-sensor calibration, domain randomization, and transfer validation on real hardware * Experience with hardware and industrial integration: LiDAR, cameras, GNSS/IMU, force/torque sensors, end-effectors and actuators, CAN/drive-by-wire, PLC/I/O, E-stop; and protocols such as OPC UA, Modbus, PROFINET, EtherNet/IP, MQTT with PLC/SCADA, MES, WMS, or ERP * Experience with robotics safety standards (for example ISO 10218, ISO/TS 15066, ISO 3691-4/ANSI R15.08, ISO 13849/IEC 62061, ISO 26262) and OT/IoT security (device identity, secure OTA, OT/IT segmentation) * Experience bringing robots and edge devices online over private/public 5G, Wi-Fi, and satellite/NTN links, including secure device-to-cloud connectivity (MQTT, VPN) and delivery of real-time correction/telemetry streams. * Experience applying the AI-Driven Development Lifecycle (AI-DLC) and AI coding agents to delivery, including working in short bolts, defining units of work, and using agent-assisted integration, debugging, and reference implementations ## Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You bring deep solutions implementation and delivery understanding of Physical AI's building blocks (AI for automation, digital twin, robotics, edge solutions, simulation, and autonomous systems) as well as supply chain technologies. Architecting and deploying autonomous systems, robotics, simulation, digital twins, and industrial AI workloads on AWS, you'll provide secure, reliable, and scalable Physical AI infrastructure for customer innovation. You also bring a background in manufacturing, warehousing, logistics, fulfillment, and the larger supply chain landscape, helping enterprise customers plan and implement the technologies to design, operate, and transform their sourcing, production, transportation, and delivery networks. You'll work with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries., As an experienced technology professional, you will be responsible for: 1. Providing subject matter expertise on manufacturing supply chains including warehousing, logistics, fulfillment, and production-line transformation, conducting on-site assessments, identifying automation opportunities, and building customer trust through demonstrated domain knowledge 2. Owning end-to-end architecture for Physical AI solutions on AWS spanning robot or vehicle hardware, sensors, edge compute, autonomy software, simulation, cloud data and ML pipelines, and enterprise integration, and leading delivery from lab through pilot, production, and multi-site rollout 3. Building simulation, digital twin, and synthetic data pipelines (for example NVIDIA Isaac Sim, Isaac Lab, Omniverse, OpenUSD, AWS IoT TwinMaker, SiteWise) and validating sim-to-real transfer on real hardware 4. Designing the fleet data loop, training, evaluating, and retraining perception models and robot policies (imitation and reinforcement learning, vision-language-action models) on SageMaker, and deploying and optimizing them on edge compute (for example NVIDIA Jetson) and industrial GPUs with TensorRT, with OTA, fleet rollout, and health monitoring through AWS IoT Greengrass components 5. Selecting and integrating robot platforms, LiDAR, cameras, GNSS/IMU, and force/torque sensors; calibrating; and integrating machine interfaces including CAN bus, drive-by-wire, PLC I/O, and E-stop circuits 6. Implementing ROS 2 or equivalent autonomy stacks (perception, SLAM, Nav2, sensor fusion, control, manipulation, fleet coordination) and integrating with PLC/SCADA, OPC UA, MQTT, WMS/MES, and fleet management systems 7. Conducting hazard analysis and building safety cases for machines operating near people, implementing safe-stop and speed-and-separation monitoring, and applying device identity, secure OTA, and OT/IT segmentation 8. Defining test plans and autonomy KPIs (stopping distance, localization error, intervention rate, pick success rate, cycle time), running closed-course and pilot-site trials and root cause analysis, and delivering runbooks, operator training, and handoff 9. Developing packaged offerings, delivery accelerators, reference architectures, demos, and training materials, and supporting pre-sales with AWS field teams and Physical AI Business Development teams A day in the life This team partners with our customers to assist in innovation within their business using AWS Emerging Technologies. One week you are on a customer site with a laptop and a CAN sniffer, bringing up a new sensor stack on an autonomous vehicle and running closed-course brake tests. The next week you are in Isaac Sim randomizing lighting and textures to close a perception gap, pushing a retrained TensorRT engine to a hardware nodes fleet through Greengrass, and reviewing the safety case with the customer before pilot. Between engagements you turn what you learned into reference architectures the practice can reuse. About the team You'll join the AWS North American Professional Services (ProServe) Shared Delivery Team's Emerging Tech practice, a team focused on helping customers realize solutions with emerging and advanced technologies on AWS. We work directly with customers to solve their solution needs and you'll collaborate with cross-functional teams including specialists, solution architects, data scientists, and engineers. Our team values hands-on builders who are curious about the intersection of business and digital systems, and we're committed to creating an environment where every team member can grow, contribute, and innovate.