AI Autonomous Systems Engineer Jobs

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Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.

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As a System Architect, you own the end-to-end architecture, system definition, and strategic implementation for the entire portfolio of robotic and autonomous defense systems, collaborating closely with executive leadership and technical leads and forming a partnership with the Product Manager. Responsibilities include translating complex strategic goals into system-of-systems designs, defining and championing system architecture strategy across the enterprise, ensuring all systems are correctly sized and verified through simulations and system sizing, guiding major technical investment decisions, coordinating large multidisciplinary engineering organizations, providing technical leadership across mechanical, electrical, software, GNC, ML, and product teams, governing system integration standards and validation processes, managing specification and architecture reviews, and implementing processes to improve requirements traceability, documentation, and validation workflows across engineering.

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Develop state-of-the-art navigation and sensor fusion algorithms for UAVs, design and implement GNC and flight control systems, build filtering and estimation strategies for robust and efficient flight performance, run extensive simulations including Monte Carlo, SITL, HITL, and coverage testing, analyze test flight data and refine algorithmic performance, support full-stack system integration including GNSS, INS/IMU, localization, and fusion, and maintain and evolve a flight-proven flight computer across multiple UAV platforms.

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The role involves defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications. The engineer will contribute to current datacenter networking efforts while helping to seed and specify future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingestion, with an initial focus on datacenter networking and robotics in the automotive/robotics space. The position requires working at the intersection of Network on Chip (NoC) design, performance modeling, and RTL design to guide architectural decisions and collaborating across hardware, software, and systems teams to define and refine networking requirements. The responsibilities also include driving forward next-generation CPU networking architecture for AI/ML workloads and taking early-stage automotive/robotics networking concepts from seeding and specification through to project initiation.

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The role involves defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications, contributing to current datacenter networking efforts, and helping to seed and specify future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingest. Responsibilities also include working at the intersection of Network-on-Chip (NoC), performance modeling, and RTL design to guide architectural decisions, collaborating across hardware, software, and systems teams to define and refine networking requirements, and driving forward next-generation CPU networking architecture for AI/ML workloads.

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As a Forward Deployed Engineer at Sunrise Robotics, you will deploy Sunrise robotic systems in live manufacturing environments to ensure successful customer go-lives. You will translate real-world production constraints into structured feedback that improves product capabilities and deployment workflows, identify opportunities to reduce non-recurring engineering effort and improve delivery scalability, and contribute to refining tools, processes, and system architectures to enable repeatable deployments. Collaboration with AI, robotics, product, and commercial teams is essential to align customer needs with product evolution. You will support pilot launches and early deployments, ensuring systems meet performance and operational success criteria, act as a technical partner to customers during integration to build trust and ensure long-term success, provide technical support during troubleshooting and maintenance, and investigate operational incidents or anomalies to ensure timely resolution and system reliability.

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Contribute to defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications, including current datacenter networking and specifying future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingest. Work at the intersection of Network on Chip (NoC), performance modeling, and RTL design to guide architectural decisions. Collaborate across hardware, software, and systems teams to define and refine networking requirements. Help drive the advancement of next-generation CPU networking architecture for AI/ML workloads.

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The Field Application Engineer, Automotive Robotics will contribute to defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications, including both datacenter networking efforts and early-stage automotive/robotics scoping and specifications. Responsibilities include working at the intersection of NoC, performance modeling, and RTL design to guide architectural decisions, collaborating across hardware, software, and systems teams to define and refine networking requirements, and helping to drive forward next-generation CPU networking architecture for AI/ML workloads. The role involves taking an early-stage concept within automotive/robotics networking from seeding and specification through to project initiation.

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The job involves defining and building next-generation CPU networking architecture for both datacenter and emerging robotics/automotive applications. Responsibilities include contributing to current datacenter networking efforts and helping to specify future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingest, with an initial focus on datacenter networking and robotics within the automotive/robotics space. The role requires working at the intersection of Network on Chip (NoC), performance modeling, and RTL design to guide architectural decisions, collaborating across hardware, software, and systems teams to define and refine networking requirements, and helping to drive forward next-generation CPU networking architecture for AI/ML workloads. Additionally, the position involves taking early-stage automotive/robotics networking concepts from seeding and specification through to project initiation.

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As an Automotive and Robotics SoC Architect at Tenstorrent, you will define scalable, top-down system architectures that unify the company's CPU and AI technologies for next-generation automotive applications. This role involves shaping the architectural direction of automotive and robotics products to meet high standards for performance, safety, reliability, and security. The position requires strong technical leadership, systems thinking, and cross-functional collaboration, and is central to delivering world-class automotive solutions.