Procept Biorobotics Corp jobs

Technical Lead, Corp Compliance (Lab) 09596 - Tennessee Remote posted: Posted 2 Days Ago

Electrical/Mechanical Repair Technician II US-NC-MONROE-4115 ~ 4115 Corporate Center Dr ~ CORP CTR posted: Posted 30+ Days Ago

Sr Manager, Revenue Operations (ROPS) 02896 - The Grove-Irvine Corp West Admin posted: Posted 30+ Days Ago

L&D Specialist, India Corp L&D, IND Corp L&D Bengaluru, Karnataka, IND We are looking for a dynamic, organized self-starter to join the India Retail organization as a Learning & Development(L&D) Specialist. The L&D specialist is an active member of the IN Corp Learning Team, driving and supporting network-wide initiatives impacting Amazon.in's seller partners as well as the internal category and HR teams. This is a contractual role for 12 months. Key job responsibilities • Partner with senior leaders (internal and external) and other support functions to design, develop and implement capability initiatives for business, HR and seller partners • Translate customer requirements and business strategy into learning programs that are scalable, simple, employee-friendly and adaptable • Work with senior management and the HR team to design, develop and implement customized learning solutions. • Assess the customer training needs through learning needs identification exercise and leverage the inputs to improve the offerings. • Plan and execute the learning calendar • Identify the right mix of channels and facilitators (3rd party, in house) for content delivery and effectiveness • Review and analyze L&D metrics including data on feedback, coverage and impact to recommend systemic improvements. • Build strong working relationships and develop deep partnership with the partner teams. • Set milestones, define success metrics, prioritize programs, and influence customer leaders to deliver the outcomes. • Demonstrate effective consulting skills, with an ability to influence in all directions and at all levels. • Deliver results with little supervision in a dynamic and often

Lead Technician (Onsite) US-CT-CHESHIRE-250 ~ 250 Knotter Dr ~ GOODRICH CORP posted: Posted 10 Days Ago

Operations Supervisor (Onsite) US-CT-CHESHIRE-250 ~ 250 Knotter Dr ~ GOODRICH CORP posted: Posted 9 Days Ago

Research Scientist, Robotics, Embodied AI, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve tasks. In this role, you will develop Vision Language Action (VLA) models that combine Gemini's world understanding with physical actions to directly control robots. You will include Gemini Robotics (our Gemini model for the physical world), and Gemini Robotics On-Device (our Gemini model that runs without a data network). You will also develop reasoning and agentic systems for the physical world, including Gemini Robotics-ER, a Gemini agent with spatial understanding. You will enable robots to perform a range of tasks, respond interactively to their environment, achieve dexterity, and reason over long multi-step tasks. You will focus on advancing in areas of general purpose robotics, including real world understanding, action generalization, human robot interaction, whole-body control, and continual learning. Additionally, you will partner with robotics companies to bring this intelligence to applications at scale. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a

Sr. Industrial Engineer, Manufacturing Systems (Onsite) US-CT-CHESHIRE-250 ~ 250 Knotter Dr ~ GOODRICH CORP posted: Posted 11 Days Ago

Associate Director, Architect – Operations and Supply Chain: Supply UT55: Corp - Minnesota Remote Location, Remote City, MN, 55101 USA posted: Posted 30+ Days Ago

Audit Specialist (Staff Auditor) - Remote UK GB-SOL-SOLIHULL-001 ~ Fore 1 Huskisson Way ~ HS INTL CORP posted: Posted 23 Days Ago

Applied Scientist, Amazon Robotics R&D Berlin, Berlin, DEU The Amazon Robotics team is seeking an experienced Applied Scientist to join our team. In this role you will apply the latest trends in research to solve real-world problems in robotics and AI. You will collaborate with a team of scientists and engineers building these applications. We holistically design, build, and deliver end-to-end robotic systems. Our team is also responsible for core infrastructure and tools that serve as the backbone of our robotic applications, enabling roboticists, machine learning scientists, software engineers, and hardware engineers to collaborate and deploy systems in the field. Key job responsibilities • Research, design, implement and evaluate complex computer vision and decision making algorithms integrating across multiple disciplines and leveraging machine learning. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. • Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. • Represent Amazon in academia community through publications and scientific presentations. • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation. Basic Qualifications: - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in publishing at major robotics and related conferences (e.g. RSS, NIPS, ICRA, CVPR, CORL, ICCV)

Robotics Hardware Industrialization Engineer, DeepMind Mountain View, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Embodied Systems team is the new hardware-centric group within Deepmind Robotics. Our mission is to accelerate AI research in the physical domain through the world's most advanced robotics systems. You will be joining on the ground floor of our hardware operations, meaning your fingerprints will be on the processes, products and relationships that we forge. As a mechanically-capable Industrialization Engineer, you will join our robotic Engineering Operations team within Deepmind. The Industrialization Engineer bridges the gap between robotics research goal and scalable data collection in a laboratory environment. You will transform advanced research testing concepts into actionable designs and processes for our data collection humanoid laboratories. You will require collaboration with Research and Development, facilities, supply chain, and engineering teams to optimize robot operations, reduce costs, and optimize system reliability. You will be the first point of contact for any test cell design-related topics, and an authority on process control and DFM (Design For Manufacture)/DFX (Design For excellence) approaches. You will work with the engineering and development teams to define the functional hardware and processes that lead to a highly productive and scalable laboratory environment where a multitude of humanoid robots are operating,

Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

Machine Learning SDE, Scanless Technologies Westboro, Wisconsin, USA Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply industry leading advances in robotics and software to solve real-world challenges that will transform our customers' experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. The Scanless Technologies team at Amazon is eliminating manual barcode scanning across one of the world's largest fulfillment and delivery networks using computer vision, machine learning, and advanced sensor systems. Our technology, Amazon Robotics Identification (AR-ID), reads multiple barcodes in real time and powers innovations like Vision-Assisted Package Retrieval (VAPR) inside Amazon's electric delivery vans. Our platform spans sensors, edge inference, cloud training, and robust observability, and it's deployed across thousands of workcells shipping millions of packages daily. We are looking for Software Engineers with a strong focus on real-world Robotics, Signal Processing and Computer vision, to bring new product ideas to life and reimagine how we delight our customers with the help of Machine Learning and computer-vision-based solutions. Familiarity with theoretical foundations is equally important as a builder mindset with strong coding and practical problem solving skills.

Robotics/AI Motor Control Scientist, Fauna New York, New York, USA We are seeking a Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots. In this role, you will focus on creating and optimizing intelligent motor control strategies to enable robots to perform complex, whole-body tasks. Your contributions will be essential in advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors - Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency - Use simulation and real-world testing to refine and validate control algorithms - Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges - Lead technical projects from conception through production deployment - Mentor junior scientists and engineers - Bridge research initiatives with practical engineering implementation About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it

Production Associate - 2nd Shift (onsite) US-CT-CHESHIRE-250 ~ 250 Knotter Dr ~ GOODRICH CORP posted: Posted 16 Days Ago

Account Executive – Navy & Marine Corps, US FED Arlington, Virginia, USA How would you like to build the AWS Cloud Computing business for the United States Navy and Marine Corps? Would you like to be part of a team focused on cloud transformation and adoption of Amazon Web Services by engaging with key Defense customers, systems integrators, and solutions providers who are reinventing their IT strategy by adopting and delivering cloud computing solutions? As a Sales Executive for Amazon Web Services (AWS), you will have the exciting opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services to help modernize and transform enterprise and mission systems for the Navy and Marine Corps. This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Secret security clearance. Key job responsibilities In this role, you will: • Develop a growing book of business in the Navy and/or Marine Corps as part of a Navy sales team. • Drive business and technical relationships and close business at a rapid rate by helping to define, identify, and pursue key opportunities. • Establish deep business and technical relationships through your knowledge of the customer's mission and the environment. • Have day-to-day interactions with these customers. • Have both a business background that enables them to drive an engagement and interact at senior military and civilian levels. • Have a technical background that enables them to

Applied Scientist - ML and Robotics North Reading, Massachusetts, USA At Amazon Robotics, we design advanced robotic systems capable of intelligent perception, learning, and action alongside humans, at massive scale. Our mission is to deploy robots that increase productivity and efficiency across Amazon fulfillment centers while operating safely and robustly in complex, contact-rich environments. We are seeking an Applied Scientist to develop manipulation controllers for robotic systems operating in contact-rich, uncertain environments. In this role, you will design force-aware control strategies grounded in impedance/admittance frameworks and augment them with data-driven policy learning to achieve robust, adaptive manipulation behaviors. You will combine physics-based modeling, control-theoretic design, and machine learning to build manipulation capabilities that generalize across objects, tasks, and operational conditions. You will collaborate closely with experts in perception, machine learning, motion planning, controls, and software engineering to deliver solutions that perform reliably on real hardware at production scale. As part of this role, you will study and extend relevant academic and industry research in robot learning and manipulation, prototype and validate learned policies in simulation and on hardware, and transition successful approaches into production systems. Successful candidates demonstrate strong intuition for physical systems, experience applying ML to robotics problems, and the ability to reason about failure modes, edge cases, and deployment constraints in contact-rich manipulation. Clear communication, hands-on experimentation, and a bias toward practical impact are essential. Key job responsibilities - Research, design, implement, and evaluate machine learning-based manipulation policies for contact-rich tasks, integrating learning with feedback control, estimation, and

Staff AI/ML Architect, Embodied AI Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Staff AI/ML Architect, you will own the end-to-end architecture of our applied-AI system: a hierarchical, multimodal stack in which a high-level model interprets sensory observations and produces structured intent, and a low-level policy turns that intent into precise, safe, real-time

Applied Scientist - Perception (SLAM/VIO), Fauna New York, New York, USA We are seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for our intelligent robots. In this role, you will design, implement, and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time, even in challenging and dynamic environments. You will own the full pipeline from algorithm development through embedded deployment, ensuring that perception systems run efficiently on resource-constrained robotic hardware. You will also leverage modern machine learning approaches to push the boundaries of classical perception methods, combining learned representations with geometric techniques to achieve robust, real-time performance. This is a deeply hands-on role. You will work directly with sensors, hardware, and real-world data, while prototyping, testing, and iterating in physical environments. The ideal candidate has strong foundations in VIO and sensor fusion, practical experience optimizing algorithms for embedded platforms, and familiarity with how modern deep learning is transforming perception. Key job responsibilities - Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms like Sprout - Develop multi-sensor fusion pipelines integrating cameras, IMUs, and other sensing modalities for accurate pose tracking - Optimize perception and tracking algorithms for deployment on embedded hardware (e.g., ARM, GPU-accelerated edge devices) under strict latency and power constraints - Apply modern ML-based perception techniques (learned features, depth estimation, neural odometry) to complement and improve classical geometric approaches - Build and maintain calibration, evaluation,

Senior Applied Scientist - SLAM and Perception, Amazon Robotics North Reading, Massachusetts, USA Application deadline: Jun 15, 2026 The Amazon Robotics Autonomous Mobility software team develops the autonomy software that powers Proteus, Amazon's first fully autonomous warehouse robot. We are looking for a Senior Applied Scientist to join our perception and localization team. You will be part of an exceptional group of engineers building the platform and architecture for our onboard mapping, perception, motion planning and control software. In addition, you will collaborate with engineers and scientists across the team to develop and enhance our real-time multi-robot simulation capabilities. Key job responsibilities Specific areas of focus may include (but are not limited too): - Researching, designing, and implementing scientific approaches for sensor calibration, including cameras and LIDARs. - Researching, designing, and implementing scientific approaches for SLAM (simultaneous localization and mapping). - Supporting and improving the large-scale deployment of a SLAM system shared across an autonomous robot fleet. - Evaluating and integrating new sensing modalities into an existing autonomy software stack. - Optimizing runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities. - Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data. - Deliver high quality production level code (C++ or Python) and support systems in production. - Collaborate with other functional teams in a robotics organization. - Collaborate with hardware engineering team members on developing systems from prototyping to production level. - Work with stakeholders across hardware and operations teams to iterate on system

Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done

Principal PMT, Agentic AI Experiences, Personal Devices Sunnyvale, California, USA The future of personal computing is being reimagined and reinvented for agentic AI. Our vision of this future is customer centric, not technology centric. We are building that future, and we need a product leader with the curiosity and vision to define it, the craft and taste to iterate and shape it, and the commitment, perseverance and drive to ship it. As Principal Product Manager on the Personal Mobile Devices team, you will lead the vision, strategy, and execution for consumer AI agentic experiences - inventing the mental models, and interaction paradigms through which hundreds of millions of customers will engage with AI agents on their most personal devices. This is not incremental feature work. This is new-to-world product creation at the intersection of agentic AI, consumer design, and personal devices. We are seeking: • A world-class product maker with experience in consumer product management, including multiple cycles of shipping new-to-world products or experiences at scale. • A hands-on builder. You amplify your work through agents, creating product documents, experience prototypes, and use agentic tools as a natural extension of your product thinking. You believe the best product insights come from iterative making and experiencing, not just specifying. • Knowledgeable in agentic AI architecture. You understand agentic systems architecture (e.g., OpenClaw-like architectures, tool-use frameworks, agent orchestration) and can engage credibly with research scientists and engineers at the frontier. You are already a power user of agentic harnesses and tools. •

Site and Business Support Administrator AU-NSW-MACQUARIE PARK-12 ~ 12-24 Talavera Rd ~ BLDG D TALAVERA CORP CTR, Macquarie Park NSW, Level 3 posted: Posted 30+ Days Ago