AI Robotics Engineer Jobs

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Design, implement, and deploy advanced motion planning and control algorithms for robotic platforms including wheeled, legged, and humanoid systems. Develop robust motion planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments. Design optimization-driven approaches for path and trajectory generation to ensure smooth, reliable, and efficient navigation. Ensure scalability, reusability, and adaptability of planning approaches across diverse contexts. Develop and tune control algorithms for precise trajectory tracking and stable operation. Collaborate to coordinate perception, planning, and control layers for robust performance. Build and maintain testing pipelines from unit validation to full robot deployment. Utilize simulation and testing environments for evaluation, benchmarking, and regression validation. Analyze real-world telemetry for diagnosis, improvement, and robustness enhancement. Investigate and resolve field deployment issues through data analysis and debugging. Deliver improvements addressing specific challenges while maintaining general reliability and performance.

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Collaborate with the world model team to build a state-of-the-art training and simulation platform for robotics. Develop persistent 3D/4D scene representations that maintain temporal consistency. Unlock advanced robotics planning and decision making through in-house, cutting-edge world models. Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations where models think, simulate, and act. Partner with ML researchers to innovate on generative models and physical AGI. Collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.

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Contribute to the technical development and integration of advanced robotic automation solutions for manufacturing automation, utilizing the Intrinsic platform, ROS and state-of-the-art AI capabilities. Collaborate closely with research and industry partners to successfully integrate AI and automation capabilities into factory settings. Document designs, processes, and results, communicating effectively with internal technical teams and partners.

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As a Staff Software Engineer on the Perception team, you will be responsible for defining and driving the long-term vision and architecture for perception systems, architecting complex, scalable, and robust end-to-end perception and robotics systems for deployment on real-world hardware, ensuring their successful integration into Hayden’s core product platform. You will spearhead the architectural design, implementation, and long-term ownership of next-generation perception systems, transition research prototypes to production solutions, deliver high-performance, tested, and maintainable C++ code optimized for edge and robotics platforms, architect and optimize real-time perception pipelines, drive the integration of state-of-the-art ML and CV models, provide technical leadership in complex problem domains, collaborate with Product leadership and Engineering organizations, and contribute to foundational shared infrastructure, tooling, and architectural patterns to scale pilot initiatives into core product capabilities.

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As a Robotics Application Engineer specializing in Intelligent Manufacturing Automation, the responsibilities include closely collaborating with the automation group and industry partners to advance manufacturing automation by extending capabilities and solutions. Daily tasks involve integrating and developing robotics solutions, including processes, software features, and integrating state-of-the-art AI for manufacturing automation. The role includes working with the team leading the deployment of impactful robotic systems in production. Additional responsibilities entail contributing to the technical development and integration of advanced robotic automation solutions for manufacturing automation using the Intrinsic platform, ROS, and AI capabilities, collaborating with research and industry partners to integrate AI and automation into factory settings, and documenting designs, processes, and results while communicating effectively with internal technical teams and partners.

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As a Senior State Estimation Engineer at Hayden AI, the responsibilities include deriving and implementing novel real-time pose estimation algorithms, researching, developing and implementing algorithms to solve large-scale mapping and similar problems, collaborating with other engineers on multi-sensor calibration both in-situ and in-factory, programming and developing software in C++ and/or Python, contributing to high impact multidisciplinary projects across teams, collaborating with deep learning, device, and cloud teams to improve overall system architectures, and providing mentorship to junior engineers.

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Building the best-in-the-world objects manipulation system with a cross-functional R&D team including Hardware, Software, and AI; inventing and implementing strategies for using new robotic grippers to handle previously unpickable items; improving adaptability, scalability, and reliability of the robotic platform; using data to build heuristics for handling different categories of items; and detecting anomalies using a combination of signals to determine if a robot picked more than one item at once or if one item is disassembling.

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As a Senior Modeling & Simulation Engineer, responsibilities include developing models and infrastructure for the integrated simulation pipeline in C++, designing deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release, implementing test scenarios and writing unit, system, and regression tests. Collaborate across autonomy, embedded, GNC, and test engineering teams to ensure the simulation mirrors real aircraft behavior and mission scenarios. Contribute to platform-agnostic simulation tooling to accelerate future development efforts. Perform verification and validation (V&V) analysis on model tools. Conduct system performance analysis and generate reports and visualizations. Utilize best practices in C++, simulation architecture, and performance engineering.

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As a Guidance and Controls engineer, you will be responsible for creating and maintaining all control and autonomy algorithms within the XBAT code base. This includes algorithm development, unit tests, component tests, flight software qualification, and flight test support. You will also be responsible for helping update and validate the truth models as required.

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Lead multidisciplinary teams in autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution while balancing hands-on technical oversight with performance optimization, innovation, and stakeholder communication. Design and implement advanced perception algorithms for object detection, classification, and multi-target tracking across diverse sensors. Integrate data from vision systems, radars, and other sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop and refine state estimation algorithms for localization and pose estimation using IMU, GPS, vision, and other sensing inputs. Interpret sensor ICDs and technical specifications to ensure proper data handling and synchronization. Optimize perception pipelines for performance, robustness, and real-time efficiency in simulation and real-world environments. Collaborate closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate algorithms using synthetic data, simulations, and field testing. Coordinate with hardware and sensor teams to integrate perception algorithms with onboard compute platforms and sensor payloads. Drive innovation in airborne sensing techniques for unmanned aircraft operating in complex or contested environments. Travel approximately 10-15% of the year to office locations, customer sites, and flight integration events.