Software Engineer - Perception

At Intrinsic Robotics, a venture by Alphabet, we are on a mission to revolutionize industrial robotics through groundbreaking advancements in AI, perception, and simulation. Our passionate team of engineers, roboticists, designers, and technologists is dedicated to making industrial robotics intelligent, accessible, and user-friendly for countless businesses, entrepreneurs, and developers.Join us as we unlock the creative and economic potential of industrial robotics, paving the way for a smarter, more efficient future.Role OverviewAs a Deep Learning Engineer specializing in perception, you will leverage your expertise in software engineering, deep learning, and 3D computer vision. Your primary responsibility will be to design, optimize, and deploy advanced perception capabilities for industrial robots. This role is critical in developing cutting-edge AI models, including transformer-based foundation models for object detection, pose estimation, 3D reconstruction, and grasping, enabling robots to interact intelligently with their environments in real-world industrial applications.Your ContributionsDesign and implement robust deep learning models for 3D vision tasks, including object detection and pose estimation.Optimize algorithms for effective grasping and manipulation in complex industrial settings.Translate state-of-the-art deep learning research into practical, deployable solutions for physical robots.Enhance robot perception capabilities for more sophisticated interactions in dynamic manufacturing environments.Collaborate in the design and implementation of core perception software skills within Intrinsic's platform.

Role overview Intrinsic Robotics is seeking a Software Engineer in Singapore to focus on simulation technology. This position involves building and enhancing simulation software that underpins advanced robotic systems. What you will do Develop and improve simulation software tailored for robotics applications Collaborate with engineers and researchers on projects in automation and robotics Help expand the capabilities of robotic systems through simulation work Location This role is located in Singapore.

Intrinsic Robotics is a pioneering initiative under Alphabet, dedicated to transforming the landscape of industrial robotics. We are driven by the belief that breakthroughs in AI, perception, and simulation will revolutionize industrial robotics, placing software and data at the forefront of this evolution. Our mission is to empower businesses, entrepreneurs, and developers by making industrial robotics smarter, more accessible, and user-friendly. We comprise a dynamic team of engineers, roboticists, designers, and technologists, all passionate about unleashing the creative and economic potential of industrial robotics.RoleAs a Robotics Software Engineer with a focus on Robot Learning and Manipulation, you will spearhead the design, training, validation, and deployment of contact-rich manipulation skills tailored for real-world manufacturing applications. You will concentrate on tackling dexterous, contact-rich assembly challenges. Your responsibilities will include developing and integrating advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack. This encompasses managing the entire model lifecycle—from architecture and large-scale data collection to training, validation, deployment, and optimization to meet stringent industrial standards.How your work moves the mission forwardDevelop, train, and deploy multi-modal feedback and interaction controllers aimed at solving high-precision insertion and assembly tasks.Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to assess algorithmic modifications and curate high-quality training datasets.Design and build modular components for reinforcement and imitation learning, continually striving to enhance the robustness of contact-rich assembly tasks.Stress-test and optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.Skills you will need to be successfulA PhD or equivalent professional experience in Robot Learning and AI Manipulation (such as Applied Reinforcement Learning, Visuomotor Policy Learning, or Vision-Language-Action models).At least 2 years of professional experience in C++ and Python, with a proven history of delivering production-quality code.Deep expertise in ML Frameworks: JAX, TensorFlow, or PyTorch.Hands-on experience with hardware, specifically testing and iterating on physical robots equipped with vision and force-torque sensors.Operational grit: A strong desire to spend significant time in the lab, managing hardware experiments and troubleshooting issues.

Grab is looking for a Senior Software Engineer to join the Perception team in Singapore. This position plays a key part in advancing robotics by enhancing how systems sense and understand their environment. The main focus is on building and improving perception features for Grab's robotics platforms. Key responsibilities Develop and refine algorithms that power perception systems in robotics. Design and conduct experiments to test and enhance perception solutions. Collaborate with cross-functional teams to integrate perception technology into existing robotics platforms.

Grab Holdings Inc. is seeking a Senior Software Engineer focused on perception for robotics in Singapore. This position centers on developing software that helps robots understand and respond to their surroundings. Role overview This role involves designing and building advanced systems that allow robotic platforms to interpret their environments. The work supports real-world applications, turning technical concepts into practical solutions for robotics. What you will do Create and refine perception algorithms for robotic systems Implement software that enables robots to process sensory data Contribute to projects that shape the capabilities of intelligent robotics Impact Your work will influence how robots interact with the world, playing a key role in advancing robotics technology at Grab.

Join our innovative Perception team at Motional and collaborate with top-tier ML engineers and research scientists dedicated to revolutionizing self-driving technology and fostering a positive social impact. Our focus is on developing cutting-edge technology to perceive dynamic environments and effectively track and classify objects surrounding our robo-taxis. We seek engineers who are enthusiastic about Level 4 autonomous driving technology, eager to tackle intellectual challenges, and motivated to grow their careers in a rapidly expanding company.Key Responsibilities:Develop and implement advanced perception algorithms for object detection, tracking, classification, and segmentation utilizing data from cameras, lidar, and radar.Leverage technology solutions to drive impactful business outcomes.Design and implement sensor fusion algorithms to create a robust and precise perception system.Optimize perception algorithms for real-time performance on embedded hardware.Collaborate with cross-functional teams to integrate perception systems into comprehensive autonomous systems.Stay updated on the latest advancements in machine learning and computer vision, applying them to practical challenges.Productionize and deploy solutions across autonomous vehicle fleets.Extract valuable insights from extensive datasets from various sources.Mentor and guide junior engineers within the team.

Join our Perception Team at Motional, where you will collaborate with leading ML engineers and research scientists dedicated to transforming self-driving vehicles into a reality while positively impacting society. Our team focuses on the technology that interprets dynamic scenarios, tracking, and classifying objects surrounding our robo-taxi system. We seek talented engineers to enhance our machine learning (ML) perception pipelines, including large-scale data pipelines, evaluation and visualization tools, and our active learning loop.Our robust data pipelines are essential for efficient ML development, encompassing data transformation, model training, and evaluation for both on-car and off-car perception solutions. The evaluation and visualization tools we create provide clear insights into dataset distributions, model behaviors, system performance, and edge-case scenarios. Our active learning loop continuously selects high-value data to refine model accuracy and robustness.

Intrinsic Robotics, a pioneering initiative from Alphabet, is on a mission to revolutionize industrial robotics. Our dedicated team believes that breakthroughs in AI, perception, and simulation will reshape the capabilities of industrial robotics in the near future, with software and data driving our innovations. We aim to enhance the intelligence, accessibility, and usability of industrial robotics for countless businesses, entrepreneurs, and developers. Join our dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.RoleAs a Robotics Software Testing Engineer, you will collaborate with fellow engineers to maintain and test software for robotics within the realm of industrial factory automation. You will play a crucial role in ensuring software stability and compatibility by designing and implementing comprehensive automated test suites. Your responsibilities will include working closely with engineers and stakeholders to design testing pipelines that incorporate hardware in the loop, along with assisting in the maintenance of Open-RMF while engaging with users and the open-source community regarding issues, fixes, and feature requests.How Your Work Moves the Mission ForwardEnable the team to swiftly discover, isolate, and mitigate issues.Empower the team to deploy with confidence.Accelerate the development of robot interoperability and factory orchestration at scale.Provide a consistent and reliable testing pipeline to expedite development, bug reproduction, and fixes.Skills You Will Need to Be SuccessfulBachelor’s or Master’s degree in Computer Science, Robotics, or equivalent practical experience.Familiarity with modern programming practices in C++, Python, or Rust.Experience in designing and maintaining software testing pipelines with upstream dependencies and downstream users.Experience with distributed systems and communication protocols such as REST or ROS 2.Experience with both simulated (Gazebo) and hardware mobile robot platforms.Skills That Will Differentiate Your CandidacyExperience with Open-RMF.Experience in Rust.In-depth knowledge of isolation, containerization, and Kubernetes.Experience with industrial robotic arms.

Join Our Team as a Robotics EngineerAt General Robotics, we are pioneering the future of robot intelligence, striving to facilitate the swift, secure, and effective implementation of general intelligence in autonomous systems and robotics. Our innovative platform, GRID, features an extensive repository of robotic skills through a speedy, cloud-native runtime, designed to enhance the intelligence of various robotic forms, including aerial, wheeled, humanoid, quadruped, and robotic arms.We are on the lookout for talented Robotics Engineers to be part of our dynamic team. You will play a pivotal role in integrating our cutting-edge technology into physical hardware and spearheading customer deployments. This position offers a unique opportunity to witness the transformative power of Physical AI and collaborate with a distinguished team of AI and robotics experts.

Founded in 2017, WeRide (NASDAQ: WRD) stands at the forefront of the autonomous driving revolution, pioneering cutting-edge technologies that span from Level 2 to Level 4 autonomy. As a unique player in the global landscape, WeRide is the only technology firm that possesses driverless permits across China, the UAE, Singapore, and the United States, enabling comprehensive R&D, testing, and operational capabilities in over 30 cities across 9 countries. With a remarkable track record of managing a self-driving fleet for over 1,800 days, WeRide is committed to redefining mobility.WeRide (Singapore) is on the lookout for exceptional Machine Learning Engineers who are eager to tackle some of the most challenging problems in AI and robotics that are reshaping the future of mobility. Join a team of world-class experts and contribute to advancing technologies in areas such as computer vision, sensor fusion, machine learning, object tracking, and motion planning.

Join our Perception team at Motional, where you will collaborate with top-tier ML engineers and research scientists dedicated to transforming the future of transportation through self-driving vehicles. Our cutting-edge technology is pivotal in understanding dynamic environments while effectively tracking and classifying objects around our robotic taxis. We seek engineers who are deeply passionate about Level 4 autonomous driving technology, thrive on intellectual challenges, and aspire to grow their careers with an innovative and fast-paced company.Key Responsibilities:Implement and deploy perception models on edge devices.Enhance and optimize GPU-accelerated algorithms via CUDA.Create advanced post-processing and classical vision algorithms.Optimize system performance focusing on latency, throughput, memory, and determinism.Elevate code quality through rigorous reviews, testing strategies, and performance benchmarks.Engage closely with ML engineers to:Enhance model robustness and readiness for deployment.Shape training objectives based on system requirements.Diagnose and rectify integration issues between models and systems.

Join our dynamic team at Cygnify, a leading research and innovation organization, as we seek a Senior Scientist to propel the future of robotics through Embodied AI and intelligent robot learning.In this pivotal role, you will spearhead the development of cutting-edge robotic functionalities, with a keen focus on Learning from Demonstration (LfD), contact-rich manipulation, and adaptive skill acquisition tailored for real-world industrial applications. Your expertise will be crucial in bridging advanced research with the practical deployment of solutions in manufacturing settings.Key Responsibilities:Drive applied R&D initiatives in Embodied AI for robotics, concentrating on Learning from Demonstration (LfD) and contact-rich manipulation.Design and conduct experiments to gather and analyze demonstration data to enhance intelligent robotic behaviors.Create and implement machine learning and deep learning algorithms for robot perception, manipulation, and decision-making.Transform research findings into functional prototypes and deployable solutions.Integrate multimodal perception, motion planning, and force/torque feedback into robotic systems.Collaborate with cross-disciplinary teams including robotics engineers, software developers, and researchers.Engage with stakeholders and industry partners to facilitate real-world applications.

Robotics AI EngineerLocation: SingaporeJoin Field AI in revolutionizing the interaction between robots and the real world. We are pioneering the development of risk-aware, dependable, and field-ready AI systems that tackle the most intricate challenges in robotics, fully realizing the potential of embodied intelligence. Our innovative approach transcends conventional data-driven methods and pure transformer architectures, and we are paving a new path with globally deployed solutions that yield tangible results and continuously enhance models through real-world applications.About Field AIAt the cutting edge of robotic embodied AI, Field AI is transforming sectors such as construction, security, mining, and manufacturing. Our autonomous robots operate across the globe, frequently in challenging environments, providing essential insights to our clients. Whether it’s tracking construction progress, ensuring adherence to safety regulations, or performing predictive maintenance, Field AI is pioneering technologies that create significant impacts.About the RoleAs a Robotics AI Engineer, your role will involve conceptualizing and deploying AI algorithms that empower robots to perceive, reason, and make decisions in unstructured environments. You will work collaboratively with interdisciplinary teams, including robotics, machine learning, and systems engineering, to transition groundbreaking autonomy solutions from research to practical applications.

Intrinsic Robotics, a pioneering venture of Alphabet, is dedicated to transforming the landscape of industrial robotics. Our team harnesses advancements in AI, perception, and simulation to push the boundaries of what industrial robotics can achieve, with software and data as the driving force.Our mission is to make industrial robotics intelligent, accessible, and user-friendly for millions of businesses, entrepreneurs, and developers across the globe. We are a vibrant team of engineers, roboticists, designers, and technologists, united by a passion for unlocking the creative and economic potential of industrial robotics.Role OverviewAs a Robotics Software Engineer specializing in Sensor-Based Control and Robot Learning, you will be at the forefront of developing and integrating cutting-edge control strategies and Machine Learning (ML) policies within Intrinsic's Realtime Robot Control framework. Your work will involve deploying visual servoing and force-control skills in real-world manufacturing environments, specifically focusing on dexterous, contact-rich assembly tasks. You will manage the complete development lifecycle, including designing controllers, ensuring seamless hardware integration, conducting extensive experiments, and optimizing performance metrics to adhere to stringent industrial standards.Contributions to Our MissionDevelop visual servoing and interaction control loops for complex insertion and assembly tasks.Implement advanced sensor fusion and time-synchronization algorithms for multi-modal robot control.Own and execute the full experimentation cycle, routinely conducting trials on industrial hardware to assess algorithmic adjustments and gather high-quality training data.Design and construct modular components for our kinematics, state estimation, and control systems to enhance robustness in contact-rich scenarios.Analyze logs and telemetry from various sensor inputs to pinpoint failure modes and guide the technical roadmap.Optimize real-time execution frameworks for learned manipulation models within the Intrinsic platform.

Our Mission:At ATUM Ventures, we empower visionary founders who leverage cutting-edge technology to create transformative companies that address pressing challenges in Energy, Medtech, and Advanced Manufacturing. We provide essential capital, operational expertise, and collaborative networks from academia, industry, venture capital, and government, investing alongside our founders in every venture.We specialize in building startups from the ground up, assisting researchers, corporations, and entrepreneurs in translating groundbreaking research into scalable businesses. Our support encompasses funding, corporate relationships, and operational mentorship, guiding ventures through technical validation, grant acquisition, market entry, and growth stages.Your Role:Join our Deep Tech Venture Building Programme, where you will spearhead the comprehensive creation of innovative startups arising from revolutionary technologies. We focus on identifying research-driven innovations, validating them with our scientific council, assembling complementary founding teams, and supporting them to achieve investment readiness and successful launch.We are actively seeking future ATUM Founders to champion the next generation of impactful technologies. As a Commercial Founder, you will direct the business and go-to-market strategy from inception. You will collaborate with a Technical Founder to establish a high-impact business and create a foundation for scale and success.This opportunity represents a founding journey, not just a job. You will share in the risks, rewards, and meaningful impact.Please note - we are currently building a talent pool for upcoming venture projects expected to launch in Q1.Your Impact:You will be integral in shaping the go-to-market and commercial strategy of a new deep-tech startup. Collaborating with a technical Co-Founder (e.g., PhD or engineer), you will identify viable market applications, build customer engagement, and secure funding to propel your venture towards scaling.Convert complex technology into commercial opportunities. Identify high-value use cases, customer challenges, and sustainable market positions that transform technical advantages into economic benefits.Develop and validate the venture thesis. Work closely with product and technical leads to refine assumptions, enhance positioning, and rigorously assess business models against real-world market dynamics.Generate early traction and partnerships. Connect with enterprise customers, strategic collaborators, and ecosystem participants to pilot initiatives, co-develop offerings, and achieve initial commercial validation.Craft go-to-market strategies and growth pathways. Design entry routes, pricing structures, sales approaches, and partnerships that foster sustainable growth while balancing innovation with operational consistency.Establish the commercial foundation. Create the initial finance, operations, and growth infrastructure to enable rapid advancement without compromising thoroughness.

At ATUM, we passionately support visionary founders transforming innovative technologies into impactful companies that tackle crucial challenges across Energy, Medtech, and Advanced Manufacturing sectors. We provide essential capital, operational expertise, and a rich network of partners from academia, industry, venture capital, and government, all committed to co-investing in every venture we build.We specialize in nurturing startups from inception by empowering researchers, corporations, and entrepreneurs to translate groundbreaking research into scalable companies. Our comprehensive support includes capital provision, corporate networking, and strategic operational guidance to navigate technical validation, grant acquisition, market entry, and growth strategies.The Opportunity:Join our pioneering Deep Tech Venture Building Programme, where we oversee the complete lifecycle of new startups emerging from revolutionary technologies. We scout for research-backed innovations, validate them with our scientific council, assemble skilled founder teams, and guide these teams towards investment readiness and successful launch.We are in search of future ATUM Founders who are ready to propel this next wave of transformative technologies into the market. As a Technical Founder, you will spearhead the technological vision, development, and innovation of a startup right from the outset. Collaborating with a Commercial Founder, you will create a robust product based on breakthrough technology, establishing a solid foundation for growth and impact.Your deep domain expertise, whether as a PhD researcher, engineer, or scientist, will play a vital role in crafting viable technical solutions and achieving venture milestones.This is not just a job; it's a journey of founding a venture where you'll share in the risks, rewards, and significant impact.Your Impact:You will be pivotal in shaping the technical trajectory of a new deep-tech startup, defining the technical roadmap, refining the product vision, and constructing systems that bring breakthrough ideas to fruition. You will work closely with a Commercial Founder to ensure the innovation is market-ready and primed for scalability.Own the technical vision and architecture. Transform ambitious research or prototypes into scalable, dependable systems prepared for commercialization.Lead early product development. Design, construct, and iterate the core technology, striking a balance between rapid experimentation and long-term sustainability.Shape the venture’s technical thesis. Identify critical challenges, proprietary elements, and competitive advantages, establishing how technology creates a sustainable market advantage.Collaborate across science, engineering, and business. Partner with your commercial founder, researchers, and operators to align technical milestones with overall venture strategy.Recruit and lead technical talent. Build and motivate an initial team capable of thriving amidst uncertainty, from MVP development to production systems.Engage with the ecosystem. Represent the venture in relevant circles, building relationships and driving collaboration.

Founded in 2017, WeRide (NASDAQ: WRD) is at the forefront of developing cutting-edge autonomous driving technologies, ranging from Level 2 to Level 4. We take pride in being the only technology firm globally that possesses driverless permits across China, the UAE, Singapore, and the United States, performing extensive R&D, testing, and operations in over 30 cities across 9 countries. With over 1,800 days of experience operating a self-driving fleet, we are dedicated to revolutionizing mobility. WeRide (Singapore) is seeking talented engineers to contribute to groundbreaking advancements in mobility by tackling some of the most intricate AI and robotics challenges. Join a team of elite professionals committed to pushing the boundaries of innovation in computer vision, sensor fusion, machine learning, object tracking, and motion planning.

About UsPhysicsX is an innovative deep-tech company rooted in numerical physics and Formula One racing, committed to propelling hardware innovation at the speed of software.We are developing an AI-driven simulation software suite for the engineering and manufacturing sectors across advanced industries. By facilitating high-fidelity, multi-physics simulations through AI inference throughout the engineering lifecycle, PhysicsX opens new avenues for optimization and automation in design, manufacturing, and operations—empowering engineers to transcend traditional boundaries. Our clientele includes forefront innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.Who We’re Looking ForAs a Senior Machine Learning Engineer within our Delivery team, you will be an accomplished problem solver and technical leader focused on making a significant impact. You are adept at comprehending intricate engineering concepts across various industries, spearheading technical initiatives, and collaborating closely with customers—often working alongside them on-site—to integrate cutting-edge AI models into practical tools.You possess a proven track record of delivering machine learning systems end-to-end at scale: you design, build, and test reliable, scalable ML data pipelines; you are skilled in exploring and manipulating 3D point-cloud and mesh data for geometry-aware modeling; you choose the most suitable libraries, frameworks, and tools while making pragmatic product decisions that set the Delivery team up for success. Operating at the intersection of data science and software engineering, you convert R&D outputs into reusable libraries, tooling, and products.With a minimum of 3 years of industry experience (post-Master's or PhD) in a commercial setting, you are prepared to not only execute but also mentor and lead others. Your enthusiasm for taking ownership of complex work streams and guiding teams to success is matched by your commitment to continuously enhancing the systems and solutions you work on to ensure they are practical, impactful, and responsive to our customers' evolving needs.This RoleAs a Senior Machine Learning Engineer, your collaboration with Data Scientists, Simulation Engineers, and clients will be crucial in understanding and defining the engineering and physics challenges we tackle. You will engage with customers and leverage your influence to drive decisions regarding reliable deployment with measurable outcomes.Your responsibilities will include:Taking ownership of the deployment of machine learning models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments.Communicating results and trade-offs effectively to various stakeholders.

Job OverviewJoin our innovative team at PatSnap as a Senior Machine Learning Engineer, where you will be at the forefront of developing cutting-edge knowledge extraction engines for the field of Materials Science. This role goes beyond basic text analysis, enabling you to tackle complex challenges related to patents and academic literature, including advanced table reconstruction, experimental workflow synthesis, chemical property mapping, and comprehensive multimodal chart analysis. Utilizing techniques such as Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), and post-training methodologies, you will transform extensive unstructured scientific documents into valuable, structured databases for R&D.