Job's mission

As a Senior Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Strong hands‑on software development expertise in C++.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience in the semiconductor process equipment industry.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

We are seeking a Senior Software Engineer to join our Engineering Enablement team and drive company-wide developer productivity. You will build and evolve internal platforms, services, and toolchains that power engineering workflows across Motional.

In this role, you will partner closely with teams across the organization to identify systemic bottlenecks, design scalable, self-service developer platforms that reduce cognitive load, streamline CI/CD workflows, and enable teams to move from code to production with speed and confidence.

Your primary focus will be our internal developer platform and productivity tooling, enabling engineers to ship reliable, high-quality code faster and more efficiently.

What You’ll Be Doing:

• Build scalable backend services, CI/CD pipelines, build systems, toolchains and platforms that can support developer workflows
• Work closely with engineering teams throughout the company to understand their needs, identify pain-points and drive initiatives to improve their development workflows
• Improve system reliability, performance, scalability, and observability across distributed systems by introducing new tools and/or building new features
• Monitor system performance and health, proactively identifying and resolving issues before they impact users
• Contribute to system architecture decisions and technical roadmaps

What We Are Looking For:

• Bachelor Degree in Computer Science, Engineering, or equivalent knowledge and work experience
• 5+ years in Software Engineering or related roles
• Strong background in modern programming languages (Python, Go, C++ are the ones we use).
• Experience with Unix-like environments, software, and toolchains.
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins), cloud platforms (e.g. AWS, GCP) & infrastructure as code (Terraform, CloudFormation).
• Expertise in software development lifecycle including the ability to understand ambiguous goals and convert them into software requirements
• Strong communication and interpersonal skills and ability to thrive in a fast-paced, dynamic environment.

Bonus Points (not required, but a plus):

• Experience in the AV industry or robotics
• Deep expertise with monorepo software development tools and services (e.g. Bazel)
• Previously been on on-call roster to support P1 & P0 systems
• Experience with AI/LLM integration, specifically building/extending Model Context Protocol (MCP) servers to enhance developer productivity and system automation.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

Job Summary:
Join our innovative Calibration team as a Senior Engineer and play a key role in bringing self-driving vehicles to life. You'll work with world-class engineers and leading experts, focusing on calibrating all autonomous vehicle sensors—Lidar, cameras, IMUs, and radars—to build the foundation of our autonomy stack.

What you’ll be doing:

• Develop and implement advanced calibration applications (both indoors and outdoors) for autonomous vehicle systems, pushing the boundaries of performance and safety
• Collaborate with different teams to integrate calibration solutions into our vehicles, ensuring top-tier quality and reliability.
• Utilize extensive internal datasets to validate and demonstrate your research and development effectively.

What we are looking for:

• Bachelor's degree in Computer Science, Robotics, or a related field. A Master’s or Ph.D. is preferred
• 3+ years of specialized experience in calibration, localization, or SLAM for autonomous vehicles, augmented reality headsets, or robotic systems, with a strong record of designing and executing advanced calibration strategies.
• 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems.
• Past experience owning and leading technical development from problem conceptualization through research, implementation, and successful production deployment.
  Past experience working with multiple sensors (LiDARs, Radars, IMU, Cameras).
• Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.
• Experience mentoring and collaborating with others

Bonus Points:

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields

Mission Summary:

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.

These foundational systems include our large-scale data pipelines,  which are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car Perception solutions. It also includes our evaluation and visualization tools, which provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Finally, our active learning loop which continuously selects and incorporates high-value data to improve model accuracy and robustness over time.

What you’ll be doing: 

• Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
• Provide technical guidance, mentorship, and career development opportunities to team members
• Define team goals, priorities, and roadmap in alignment with company objectives
• Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
• Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
• Foster cross-functional collaboration ensuring alignment with broader organizational goals.

What We’re Looking for:

• 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
• BS or MS in Computer Science or a related technical field.
• A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
• Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
• Proven experience in backend development and leading the architecture of complex systems.
• A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
• Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
• Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
• Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team

Bonus Points:

• Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
• Experience with distributed computing frameworks like K8s and Ray.
• A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
• A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
• Proficiency in modern C++ (C++14/17 or later)
• Experience with building products with current LLMs and MCP protocols.
• Experience with GPU-accelerated data processing.
• Familiarity with Pytorch, TensorFlow or other modern ML development platform
• Experience in project management and a history of successfully delivering complex technical projects.

As the Principal Engineer for Cloud Applications in Singapore, you will define the technical roadmap for the platforms that manage and update our autonomous fleet: Command Center and OTA Updates. Moving beyond a Staff-level focus on specific features, you will architect the entire Fleet Management ecosystem to support a 100x scale in global commercial operations. You will bridge the gap between high-scale cloud portals and on-vehicle robotics systems, while establishing the industry standard for SDLC maturity across the group.

What you'll be doing:

• Lead the design and scaling of the Command Center (React/Golang/Python) to support massive growth in fleet size and geographic complexity. You will ensure the platform remains responsive and reliable as it transitions to a high-frequency, commercial-ops portal.
• Own the architectural interface between cloud-based deployment services and on-vehicle hardware. You will oversee the development of C++ and Python services that manage mission-critical updates, ensuring safe, atomic, and verifiable deployments to robotics hardware.
• Elevate the team from high-velocity to high-reliability. You will design and implement organization-wide standards for automated testing, CI/CD safety, and release orchestration, ensuring that every deployment is a non-event.
• Architect the Commercial Ready versions of our fleet tools, ensuring they are decoupled from legacy R&D dependencies and ready for rapid deployment into new global markets and partner ecosystems (e.g., Uber).
• Act as a force multiplier across the Singapore office. You will provide technical mentorship to Staff and Senior engineers, bridging the gap between Cloud, Robotics, and Embedded teams to solve complex, cross-stack architectural challenges.

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 12+ years of professional software engineering experience, with a track record of leading major technical initiatives that impact multiple teams.
• Expert-level proficiency in Golang and Python for backend services, with a deep architectural understanding for large-scale, real-time operational portals.
• Strong technical depth in C++, with experience in hardware-software communication, IoT messaging protocols, or robotics update mechanisms.
• Proven ability to transform the engineering culture of a group, moving from manual or high-friction processes to a state of high automation, reliability, and test coverage.
• Experience in designing new software systems from the ground up using event-driven architecture (EDA) to ensure high scalability, decoupling, and real-time responsiveness.
• Expert at balancing immediate commercial requirements with the long-term technical health and hardening of mission-critical systems.
• Strong experience with major cloud providers (AWS/GCP/Azure) and a solid understanding of containerization and Infrastructure-as-Code principles.

Bonus points (not required):

• Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
• Experience leading technical projects in a globally distributed team.
• Experience with OLAP databases (e.g. ClickHouse) or building observability tools for monitoring and tracing.
• Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks

On our Map Semantics team, you will have the opportunity to work with world-class machine learning (ML) engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi-modal data, enabling mapping and real-time localization.  These objects include lane lines, stoplights, traffic signs and other structures in the built environment.  We are looking for proven technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute projects focused on scene understanding to geometrically represent the environment. These representations will enhance the efficiency of our self-driving vehicle’s capability to map roadways and localize itself using both autonomous vehicle and remote sensing data.
• Develop machine learning models to reliably and efficiently detect the built environment using single or multi-modal sensor data including vision, LIDAR, and RADAR
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams to improve  your products’ on-road performance

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• 7+ years of professional software engineering experience.
• Solid experience in real time 3D Object Detection, Semantic Segmentation or Scene element detection
  Experience working with large scale multi-modal datasets. 
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Extensive experience in metrics design and metrics driven technology development 
• Excellent communication and interpersonal skills

Bonus Points:

• Familiarity with multi-view geometry, factor graph optimization / bundle adjustment
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Remote sensing experience including geospatial coordinate frames, object detection, RPC camera models
• Experience with change detection and updating maps based on newly collected data
• Experience with un/self/semi/weakly-supervised learning techniques
• Strong programming skills in C++ 
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.)

On our Motion Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. In this role you'll perform cutting-edge research, develop advanced algorithms, and build robust software to generate safe, comfortable, and intuitive routes and motions.

Role responsibilities:

• Lead the research and development of novel algorithms for motion planning in autonomous driving, including but not limited to advanced search-based methods, sophisticated geometry-based methods, and decision making under uncertainty with a strong emphasis on probabilistic approaches.
• Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment.
• Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms.
• Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance.
• Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence.
• Guide and mentor junior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.

What we're looking for:

• PhD or master in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or equivalent industry experience
• 3+ years of C++ software development, with an emphasis on algorithm development
• Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment.
• Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.

Bonus Points

• Experience in AV industry / motion planning, with a proven track record of contributing to state-of-the-art solutions
• Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters.
• Experience with Bayesian modeling and inference techniques for decision making under uncertainty.
• Experience with the Bazel build framework

Mission Summary:

We are looking for a Staff Software Engineer to join our Cloud Apps team as a strategic technical leader in Singapore. As we transition from R&D to full commercial operations, you will lead the technical evolution of our infrastructure to support a rapidly growing robotaxi fleet.

In this role, you will architect the backbone for our core commercial capabilities—scaling our dispatch engines, building integrations with partners like Uber, and optimizing real-time services.

This is a high-impact technical role where you will drive architectural decisions that ensure our system is robust, scalable, and ready for the rigors of a live passenger service. You will act as a force multiplier for the team, elevating engineering standards and mentoring others as we tackle complex distributed system challenges.

What will you be doing?

• Architect for Scale: Lead the design and optimization of our distributed systems to handle significant fleet growth. You will identify bottlenecks in real-time data pipelines and redesign core services to ensure low-latency performance at commercial scale.
• Commercial Reliability & Observability: Drive the transition from "R&D" to "Commercial Grade" reliability. You will implement high-availability patterns and embed comprehensive observability metrics to ensure end-to-end system health and rapid anomaly detection.
• Technical Roadmap Ownership: Partner with Product and Engineering leadership to define the technical roadmap. You will balance immediate commercial deliverables with long-term architectural investments to ensure sustainable system evolution.
• Engineering Excellence & Team Growth: Champion best practices in code quality, system design, and documentation. You will mentor senior engineers, shape the engineering culture, and play a key role in the future technical or people leadership of the organization.

What we hope you’ll come with:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 8+ years of backend engineering experience, with a proven track record of operating at a Staff, Lead, or equivalent senior level.
• You have deep knowledge of concurrency, database consistency, and microservices patterns. You know how to build systems that fail gracefully and recover automatically.
• You have a "reliability mindset." You are experienced with post-mortems, incident management, and building systems that are easy to debug and operate.
• Deep experience with Golang (preferred) or Python in a production environment.
• Strong experience with major cloud providers (AWS/GCP/Azure) and a solid understanding of containerization and Infrastructure-as-Code principles.

Bonus Points for experience with:

• Experience leading technical projects in a globally distributed team.
• Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing.
• Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries.

As part of our mapping team, you'll collaborate with world-class experts in mapping, software engineering, and machine learning to build cutting-edge, next-generation mapping systems. We’re leveraging the latest technologies to lead the industry in mapping innovation, and we’re seeking passionate engineers who are excited about mapping, autonomous vehicles, and tackling intellectual challenges. This is an exceptional opportunity to contribute to the growth of a company at the forefront of the autonomous vehicle revolution.

What You’ll Be Doing:

• Tackle complex challenges in large-scale mapping by applying state-of-the-art methods and technologies.
• Develop high-quality, scalable software using Python, C++, and other advanced technologies.
• Work with large-scale, diverse data from various sources, including vehicle sensors and geospatial data.
• Mentor and support software engineers and domain experts, fostering their professional growth.
• Collaborate with cross-functional teams, including both technical and non-technical stakeholders, on challenging and impactful projects.

What We Are Looking For:

• Master’s or PhD in Computer Science, Robotics, or a related field.
• 5+ years of experience in state estimation and SLAM
• Deep experience with C++ or Python
• Strong foundation in nonlinear optimization and numerical linear algebra.
• Excellent communication and collaboration skills to work across teams of researchers and engineers.
• A passion for problem-solving and a keen ability to learn and adapt.

Bonus Points (not required, but a plus):

• Experience applying machine learning techniques to mapping or geospatial problems.
• Familiarity with distributed computing and cloud systems.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What you’ll be doing:

• Productionize and deploy our perception models into edge devices 
• Develop and optimize GPU-accelerated algorithms using CUDA
• Develop advanced post-processing and classical vision algorithms
• Drive performance optimization at system level (latency, throughput, memory, determinism)
• Drive code quality through reviews, testing strategies, and performance benchmarks
• Collaborate deeply with ML engineers to:
  • Improve model robustness and deployment readiness
  • Influence training objectives based on downstream system needs
  • Debug and resolve model–system integration issues

What We’re Looking for:

• Bachelor’s Degree. Preferably Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• Minimum 3 years of professional experience and strong proficiency in modern C++ (C++14/17 or later)
• Hands-on experience with CUDA and GPU performance optimization
• Deep understanding of modern and classical computer vision and image processing techniques
• Experience with performance profiling and debugging tools (e.g., Nsight, Valgrind, perf)
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

On our Behaviors team, you have the opportunity to work with world-class ML engineers and research scientists whose mission is to make self-driving vehicles a reality and to create positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for engineers who are passionate about autonomous driving, excited by intellectual challenges,  and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:  

You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:

Senior Engineer:

• Prototype, evaluate, implement, and iterate on solutions
• Familiar with state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with team members to achieve project goals and milestones

Staff Engineer:

• Define and influence the direction of the team, organization, and/or department.
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions 
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data

Senior Engineer:

• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Experience mentoring and collaborating with others

Staff Engineer:

• Effectiveness at leading and executing large, complex technical initiatives 
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

We are seeking highly motivated Master's or PhD students to join our team as a Research Intern to conduct cutting-edge research and development in Localization, Mapping and Calibration. This is an exceptional opportunity to contribute directly to the advancement of autonomous vehicle technology, working alongside a team that is leading the industry in location, mapping and calibration innovation.

The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work; however, the candidate will need to reside in Singapore for the duration of the internship.

What you’ll be doing:

• Conduct advanced research and development on state-of-the-art state estimation problems, specifically focusing on scalability across city and multi-city environments. Research topics including, but not limited to: SLAM methods for city-scale mapping technologies, outdoor sensor calibration technologies, etc.
• Work with large-scale internal datasets to demonstrate the effectiveness of your research.
• Collaborate with different teams to deploy your research results onto autonomous vehicles.
• Publish the research results in papers and patents.

What we are looking for:

• Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study.
• Strong research background in the field of SLAM, state estimation, and/or sensor calibration, with publications in any of the top-tier conferences (e.g., CVPR, ICCV, ECCV, ICRA, IROS, RSS).
• Experience in at least one of the following: applying machine learning techniques to mapping or geospatial problems, working with large-scale mapping datasets or systems, utilizing online calibration techniques for autonomous driving or robotics systems, or demonstrating a strong theoretical and practical background in computer vision (especially sensor calibration/SLAM).
• Strong communication and interpersonal skills.
• Proficiency in C++/Python coding, having experience in onboard programming, with an understanding of real-time systems is a plus.
• Previous experience in autonomous driving is preferred.

We are seeking a dynamic AI/Robotics Product Manager to drive the integration of cutting-edge technologies and transform them into customer-centric solutions. This role will play a pivotal part in defining safety, usability, and performance metrics, while collaborating with enterprise clients to refine robotic and agentic deployments.

Responsibilities:

• Translate deep tech breakthroughs (VLA models, Agentic RAG) into tangible customer value.
• Define safety, usability, and performance metrics for the engineering teams.
• Interface with early enterprise adopters to gather feedback on agentic and robotic deployments.
• Lead cross-functional teams to ensure successful product delivery.
• Develop and maintain a product roadmap that aligns with strategic business goals.

Required Skills:

• Technical background in AI, computer science, or engineering.
• Proven experience shipping complex hardware or deep-tech software products.
• Exceptional ability to communicate complex concepts to both engineers and stakeholders.
• Strong analytical skills and a data-driven decision-making approach.

We are seeking a talented Human-Robot Interaction Specialist. In this role, you will develop and implement cutting-edge technologies that enable seamless and intuitive interactions between humans and robots. Your work will enhance the capabilities of robots, ensuring they can navigate and communicate effectively with users in various environments.

Responsibilities:

• Develop intent-recognition models using gaze, gesture, and voice data.
• Program socially aware navigation algorithms that respect human personal space.
• Design the visual and auditory feedback systems for the robot's user interface.

Required Skills:

• Background in Human-Computer Interaction (HCI) or cognitive science applied to robotics.
• Experience running user studies and testing interaction paradigms.
• Skills in rapid prototyping of AI-driven voice and visual interfaces.

As a Mechatronics Specialist/Engineer, you will play a pivotal role in designing and optimizing state-of-the-art electromechanical systems. Your expertise will drive the innovation of our motor designs and control systems, enhancing efficiency and performance.

Responsibilities:

• Specify, test, and tune BLDC motors, harmonic drives, and customized gearboxes.
• Design motor control firmware (FOC) for maximum efficiency and torque density.
• Collaborate with mechanical engineers on joint design and thermal management.

Required Skills:

• Deep understanding of electromechanical systems and motor physics.
• Experience writing firmware in C/C++ for microcontrollers.
• Hands-on experience with industrial communication protocols (EtherCAT, CAN bus).

As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.

Responsibilities:

• Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
• Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
• Develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Required Skills:

• Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
• Experience with fleet management or warehouse automation software.
• Strong background in operations research and graph algorithms.

We are seeking a skilled SLAM Architect to drive the development of advanced autonomous navigation systems. This role involves creating innovative solutions for Visual-Inertial SLAM, dynamic obstacle avoidance, and path planning to enhance our robotic platforms.

Responsibilities:

• Develop robust Visual-Inertial SLAM (Simultaneous Localization and Mapping) pipelines.
• Implement dynamic obstacle avoidance and predictive path planning.
• Optimize algorithms for low-compute edge deployment on the robot.

Qualifications:

• Advanced knowledge of state estimation, Kalman filters, and factor graphs.
• Experience with ROS2/Nav2 and point cloud processing (PCL).
• Proven track record of deploying autonomous navigation in real-world settings.

We are seeking a skilled Tactile Sensing & Dexterous Manipulation Engineer (Robotics) to advance the capabilities of high-resolution tactile sensors and dexterous robotic systems. The successful candidate will work on cutting-edge projects to enhance robotic perception and manipulation, contributing to innovative solutions in the field of robotics.

Responsibilities:

• Process data from high-resolution tactile sensors and force-torque arrays.
• Implement slip-detection and compliant control algorithms.
• Train multi-fingered grasping policies for unknown objects.
• Collaborate with cross-functional teams to integrate tactile sensing solutions into robotic platforms.
• Conduct experiments to validate the performance of tactile sensing and robotic manipulation systems.

Qualifications:

• Deep knowledge of contact mechanics and robotic grasping.
• Experience with tactile sensors (e.g., GelSight, BioTac).
• Background in soft robotics or dexterous manipulation.
• Proficiency in programming languages such as Python or C++.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication and teamwork abilities.

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.

Responsibilities:

• Train foundation models for robotics, utilizing architectures similar to RT-X.
• Align text-based reasoning processes with low-level robotic control policies.
• Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
• Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
• Document and present research findings at internal and external conferences.

Qualifications:

• PhD or equivalent research experience in Deep Learning and Robotics.
• Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
• Practical experience with imitation learning and behavior cloning techniques.
• Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

We are seeking a skilled Computer Vision Engineer. This role is pivotal in advancing robotic systems through high-fidelity spatial mapping and real-time object recognition. You will work closely with cutting-edge technology to integrate vision systems with robotic manipulation and navigation, to enhance automation capabilities.

Responsibilities:

• Implement high-fidelity spatial mapping and real-time object recognition pipelines.
• Integrate vision systems directly with robotic manipulation and navigation controls.
• Train and fine-tune Vision-Language-Action (VLA) models.

Required Skills:

• Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms.
• Experience with multimodal spatial AI frameworks.
• Previous work integrating computer vision outputs with ROS2 or robotic hardware.

Job's mission

What you will be working on

• Develop the development of ASM’s Intelligent Automation, Smart Manufacturing, and Warehouse Automation roadmap, ensuring alignment with long-term automation and digital transformation goals.
• Define the strategic roadmap for robotics, machine vision, and emerging technologies such as humanoid robots and autonomous systems.
• Engage stakeholders across Manufacturing, Logistics, and Quality to identify automation opportunities and translate them into scalable automation solutions.
• Drive vendor engagements, including solution evaluation, design reviews, and validation of proposals for automation, vision inspection, and warehouse systems.
• Collaborate with operations leaders, program managers, and external vendors to ensure automation systems seamlessly integrate into existing operation ecosystems.
• Perform feasibility studies, ROI modeling, and capacity analysis to justify automation investments and ensure alignment with ASM’s long-term operational strategies.
• Stay current with advancements in AIoT, robotics, machine vision, automation frameworks, digital twins, and humanoid-capable automation systems.
• Ensuring initiatives comply with internal standards, safety requirements, and cybersecurity considerations.
• Oversee proof‑of‑concept evaluations for advanced automation solutions and guide decision‑makers in adopting future-ready technologies.

What we are looking for

• Bachelor’s or Master’s in Engineering, Robotics, Mechatronics, Computer Science, Computer Engineering or any related field.
• Minimum 3 years of relevant work experience in automation or smart manufacturing projects.
• Minimum 1 year of experience in machine vision, and industrial automation ecosystem architecture.
• Knowledge of Manufacturing Execution System (MES)workflows, production orchestration, and integration concepts
• Experience with operational processes in Engineering to Order, Low volume to High mix Manufacturing, Logistics, Quality, Engineering, or Supply Chain

What sets you apart

• Experience managing solution vendors, system integrators, and cross-functional project teams, and conducting feasibility analysis or technology evaluation.
• Strong analytical, communication, and stakeholder management skills, with the ability to lead cross-functional discussions and influence decision-making.
• Ability to operate in a fast-paced, innovation-driven environment and manage multiple automation initiatives simultaneously.

Role

As a Software Engineer specializing in Simulation, you will collaborate with senior engineers to build and maintain high-fidelity simulation environments using Gazebo. You will be responsible for implementing features, creating assets, and running validation tests to ensure our digital twins accurately reflect real-world physics and hardware. You will work closely with the simulation and robotics teams to support the development of the Flowstate platform, ensuring that our tools are reliable and efficient for internal and external developers.

How your work moves the mission forward

• Develop and maintain simulation assets and environments using Gazebo and ROS.
• Implement software features that bridge the gap between simulation and physical robot behavior.
• Create and execute automated tests to validate robotic software performance in simulated environments.
• Collaborate with senior engineers to optimize simulation infrastructure for scalability and speed.
• Document technical workflows and contribute to the internal knowledge base for simulation tools.
• Maintain and contribute to the development of open source software.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science or Robotics, or equivalent practical experience.
• 2 years of experience in robotics software development or simulation.
• Proficiency programming in C++ and Python.
• Experience with the Gazebo simulator and ROS.
• Familiarity with physics engines (e.g., Dart, Bullet, ODE, MuJoCo).

Skills that will differentiate your candidacy

• Experience with Universal Scene Description (USD) and Simulation Description Format (SDF), and Unified Robotics Description Format (URDF).
• Familiarity with Entity-Component-System (ECS) architecture for game or simulation development.
• Knowledge of 3D modeling or computer graphics.
• Experience with sensor data or synthetic data generation.
• Experience with cloud platforms (e.g., GCP) for running automated tests or simulations.
• Background in developing plugins for open-source robotics projects.
• Experience working with version control systems and CI/CD pipelines.
• Experience creating interfaces for front end user facing tools.
• Willingness to travel domestically and internationally.

Role

As a Senior Robotics Software Engineer in Sensor-Based Control and Robot Learning, you will develop and integrate advanced control strategies and Machine Learning (ML) policies within Intrinsic’s Realtime Robot Control stack. You will drive the deployment of visual servoing and force-control skills in real-world manufacturing settings, focusing on dexterous, contact-rich assembly tasks. You will be responsible for the full development lifecycle: designing controllers, ensuring scalable hardware integration, conducting large-scale experiments, and optimizing for cycle times and resource usage to meet rigorous industrial standards.

How your work moves the mission forward

• Develop visual servoing and interaction control loops to solve high-precision insertion and assembly tasks.
• Implement sensor fusion and time-synchronization algorithms for multi-modal, sensor-based robot control.
• Take ownership of the full experimentation cycle, regularly running trials on industrial hardware to evaluate algorithmic changes and collect high-quality training data.
• Propose and build modular components for our kinematics, state estimation, and control stacks to improve robustness in contact-rich environments.
• Analyze logs and telemetry from diverse sensor sources to identify failure modes and influence the technical roadmap.
• Optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field (or equivalent professional experience).
• 5+ years of professional software development experience in C++ within robotics or mechatronic systems.
• Proven practical experience testing and iterating on physical robotics hardware integrated with vision and sensing systems.
• Deep technical knowledge of numerical optimal control, robot motion optimization and sensor-based robot control
• Experience working closely with partners and cross-functional teams in a fast-paced environment.
• Business fluency in English.

Skills that will differentiate your candidacy

• PhD in Robotics, Computer Science, or a related field desired
• Track-record of outstanding academic contributions in the field
• Signal processing expertise in time synchronization, state estimation, and data fusion.
• Experience running ML model inference on on-prem hardware within soft-realtime loops.
• Cloud Infrastructure: Familiarity with cloud databases and cloud compute workflows.
• Proficiency in JAX, Python, TensorFlow or PyTorch.

The Customer Success Team at RTI is dedicated to delivering exceptional customer experiences and driving significant business value. As a Customer Success Manager, you will build strong relationships with customers, foster successful product adoption and assist in identifying new project opportunities. You will play a crucial role in contributing to RTI’s overall success by driving retention and cultivating loyalty, while supporting revenue growth.

✨ What You’ll Do / Responsibilities

Customer Success and Focus:

• Become a trusted advisor through proactive engagement and guidance to help maximize the value of your customer’s products and services.
• Develop a strong understanding of customers’ organizations and business practices to build relationships with key influencer and decision maker contacts.
• Partner with internal teams (Products and Markets, Services, Marketing) to ensure customers have access to the latest solutions and expertise.
• Monitor customer health, proactively identify and mitigate potential risks to customer satisfaction and experience.

Customer Retention & Expansion:

• Collaborate closely with the Account Manager to align on account strategy and drive successful execution.
• Assist in identifying upsell and new project opportunities within existing customers and ensuring seamless handoffs to Account Manager and Field Application Engineer to pursue opportunities.
• Understand and track key performance indicators (KPIs) that measure the effectiveness of customer success initiatives.

Customer Success Strategy & Execution:

• Collaborate within the Customer Success team to develop and refine customer success best practices, methodologies, and playbooks.
• Assisting with the implementation and setup of technology to help us serve our customers at scale.

🎯 What We’re Looking For / Requirements

• Technical degree with at least 3+ years of experience in a post-sales, customer facing role such as customer success, field application engineering, customer support, customer experience focused program/project management.
• Excellent communication and collaboration skills, working with cross functional teams and initiatives. 
• Strong focus on customer needs and an intellectual curiosity about the products that help to meet them.
• English proficiency is required.
• Work Authorization & Clearance: This role requires eligibility for Government security clearance for Aerospace & Defense projects. Clearance eligibility is limited to Singapore Citizens and Permanent Residents, as applicable. Work pass sponsorship is not available for this position.
• Willing and able to travel (up to 20%).

Don’t meet every single requirement? At RTI, we are dedicated to building a fair and inclusive workplace so if you’re excited about this role but your past experience doesn’t perfectly align with all qualifications in the job description, we encourage you to apply anyway! You may be just the right candidate for this or another one of our open roles. Learn more about our commitment to our workforce, here!

💎 Nice To Have / Preferred Skills

• Experience working with on-premise software is a plus.
• Experience in a quickly-scaling, post-sales customer function is preferred.
• Sales experience is a plus.
• Experience in autonomous devices, IoT/IIoT, or embedded systems preferred.
• Proficiency in a second language (Chinese, Japanese, and/or Korean) is a plus.

🌟 What We Offer You 

• Flexible working schedule.
• Remote working + Home Office Stipend to cover the costs of working from home.
• Flexible Paid Time Off + “Real Vacation Bonus,” an additional bonus for taking more than 1-week of uninterrupted vacation.
• Annual bonus based on individual and company performance + other prizes and awards. 
• We recognize employees for their achievements, offer great opportunities for career growth and development, and provide the tools they need to succeed.

💙 How is life at RTI

• We have been certified as a Great Place to Work for six consecutive years both in Spain and the US. In addition, we were listed as one of the Best Companies for Women to Advance. 
• We live and work by our core values, which emphasize excellence, teamwork, and reaching your potential. Our motto is “Enjoy the journey,” above all we must enjoy what we do and have fun at work. At RTI, you will work in a positive, supportive, diverse environment with a team that truly cares about you.
• We are defined by our “Working as One” culture and truly care about team’s interaction. That is why we plan trips for teams to get together in person, enjoy fun team-building activities and events, and feel more connected.

🌍 What We Do / About RTI

Real-Time Innovations (RTI) is the data-streaming company for intelligent distributed systems. RTI Connext® software is the critical nervous system for over 2,000 designs across Aerospace and Defense, MedTech, Automotive, and Robotics. Connext is the only real-time data streaming platform that can both control demanding physical systems and integrate them with cloud applications. RTI helps organizations develop, deploy, and scale intelligence and physical AI from edge to cloud, faster. RTI Runs a Smarter World™. Learn more at www.rti.com.

RTI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age status as a protected veteran, or status as a qualified individual with disability.

We encourage you to apply to this role if you’re interested in opportunities at Intrinsic, but don’t see the right fit in our actively posted roles. This is best suitable for non-technical functions (e.g. people, finance, legal, etc). 

When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit. You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing,
• You are interested and have experience scaling non-technical functions from 0-1,
• You think robots are interesting, and would like to learn more.

#LI-DNI

Role

In this role, you will establish and lead an engineering team dedicated to the stability and endurance of our robotics software platform. You will design systems that proactively identify vulnerabilities within our APIs, SDKs, web interfaces, and cloud-to-edge communication layers.  By simulating scenarios such as AI model inference timeouts, high network latency, data pipeline congestion, and malformed input, you will ensure the platform maintains a safe and predictable state even when the environment is not. You will guide a specialized team in developing automated frameworks that replicate real-world disruptions, thus providing a dependable infrastructure for the developers building the next generation of AI-driven robotics. This responsibility includes developing the necessary monitoring tools to gain deep insights into overall system health. As a key technical leader, you will collaborate with world-class engineering teams in Mountain View and Munich to synchronize resilience strategies and set global standards for software reliability.

How your work moves the mission forward

• Create automated resilience tests focusing on service boundaries and hybrid environments (on-prem and Cloud).
• Bolster the robustness of AI integrations by implementing failure injection within data pipelines.
• Deploy fuzzing and property-based testing techniques platform-wide to guarantee graceful degradation.
• Enhance the stability of developer tools and frontend systems against latency and service interruptions.
• Cultivate a culture of reliability through engineer mentorship in defensive programming and by spearheading global "Game Day" exercises.
• Construct observability tools to monitor and analyze holistic system health.

Skills you will need to be successful

• 4-year degree in Computer Science or equivalent professional experience.
• At least 5 years experience in software engineering. 
• Demonstrable experience with cloud computing.
• Proven ability to lead a team, providing architectural guidance and fostering professional growth for other engineers in a global setting.
• Experience with one of Go, Python, or C++.
• Strong communication skills. 

Skills that will differentiate your candidacy

• Distributed Systems Architecture: Strong experience building and debugging hybrid software environments where local runtimes interact with cloud-hosted services.
• Reliability Engineering Patterns: Deep understanding of software patterns for resilience, such as circuit breaking, retries with backoff, and bulkhead isolation.
• Automated Testing Proficiency: Expertise in creating frameworks for fault injection, property-based testing or coverage-guided fuzzing.
• Full-Stack Technical Knowledge: Competency in systems-level languages and an understanding of how to build resilient frontend interfaces.
• Infrastructure & Tooling: Hands-on experience with container orchestration (Kubernetes/Docker) and CI/CD pipelines to automate failure simulations.
• Robotics Software Experience: Hands-on experience with robotics frameworks or complex hardware-interfacing software.

Role

As a Senior Robotics Software Engineer working on mobile robot orchestration, you will collaborate with a diverse team of roboticists and software developers to reimagine how mobile robots make their way through the complex, dynamic world that we live in. You will develop high-performance multi-agent path finding algorithms that enable hundreds to thousands of robots to operate in densely packed factories and warehouses. You will design robust behaviors for fleets of mobile robots to seamlessly interact with automated doors, elevators, and robot workcells. Your work will be deployed in a wide variety of dynamic environments, including factories, warehouses, malls, hospitals, campuses, and commercial buildings. Through close collaboration with the Open Robotics community, you will shape open specifications for mobile robot interoperability.

How your work moves the mission forward

• Examine challenging environments and identify strategies for seamless mobile robot traffic.
• Develop software tools to make mobile robot traffic behavior easy to understand and debug.
• Implement various algorithms for multi-agent path finding and benchmark them across diverse environments.
• Build extensible reusable libraries that empower customers to tailor their mobile robot traffic behaviors to their unique scenarios.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or equivalent practical experience.
• Proficiency in systems programming languages such as C++, Python, or Rust.
• Demonstrable experience with autonomous mobile robots (such as MiR, OTTO, Geek+).
• Expertise in programming reactive software systems.
• Experience architecting distributed multi-agent systems using ROS, Zenoh, MQTT, gRPC, or REST APIs.

Skills that will differentiate your candidacy

• A Masters or Doctoral degree relevant to mobile robot orchestration.
• Peer-reviewed research papers related to multi-agent path finding.
• Expertise in the Rust programming language.
• Experience deploying large-scale mobile robot traffic systems.
• Experience deploying mobile robots in human-centric environments.
• Comfort engaging with diverse stakeholders to assimilate broad perspectives and build consensus.

Role

As a Robotics Software Testing Engineer, you will collaborate with fellow engineers in maintaining and testing software for robotics, in the domain of industrial factory automation. You will play a key role in ensuring software stability and compatibility, by designing and implementing comprehensive and automated test suites. You will work closely with engineers and stakeholders to design testing pipelines with hardware in-the-loop. You will assist in the upkeep of Open-RMF, interacting with users and the open source community on matters of issues, fixes, and feature requests.

How your work moves the mission forward

• Enable the team to discover, isolate and mitigate issues swiftly.
• 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 accelerate development, bug reproduction and fixes.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, or 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 candidacy

• Experience with Open-RMF.
• Experience in Rust.
• In-depth knowledge of isolation, containerization and Kubernetes.
• Experience with industrial robotic arms.

Role

As a Robotics Software Engineer specializing in Robot Learning and Manipulation, you will drive the design, training, validation and deployment of contact-rich manipulation skills for real-world manufacturing. Your focus will be on solving dexterous, contact-rich assembly tasks. You will develop and integrate advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack, managing the full model lifecycle - from architecture, large-scale data collection and training to validation, deployment and cycle-time optimization - to meet rigorous industrial standards.

How your work moves the mission forward

• Develop, train, and deploy multi-modal feedback- and interaction controllers to solve high-precision insertion and assembly tasks.
• Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to evaluate algorithmic changes and curate high-quality training datasets.
• Architect and build modular components for reinforcement learning and imitation learning, continuously seeking to improve 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 successful

• PhD or equivalent professional experience in Robot Learning and AI Manipulation (e.g., Applied RL, Visuomotor Policy Learning, Vision-Language-Action models).
• 2 years of professional experience in C++ and Python, with a proven track record of shipping production-quality code.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Hardware Experience: Direct experience testing and iterating on physical robots integrated with vision and force-torque sensors.
• Operational Grit: A desire to spend significant time in the lab, managing hardware experiments and troubleshooting physical-world edge cases.
• Communication: Business fluency in English.

Skills that will differentiate your candidacy

• Multimodal Perception and Control: Expertise in integrating tactile/force sensing and computer vision  for contact-rich tasks.
• Hardware Experience: Direct experience testing and iterating on physical robot manipulators integrated with vision and force-torque sensors.
• Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
• Infrastructure: Experience with cloud-based training (Argo) and deploying inference on the edge.
• Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.

We encourage you to apply to this role if you’re interested in roboticist roles but don’t see the right fit in our actively posted roles. When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit.

You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing,
• You are interested and proficient in modern software development (e.g. C++) in addition to PLC programming (e.g. ladder logic) used in modern controllers,
• You have written end-to-end robotics applications or have built/integrated robotic hardware (i.e. workcells) in industry,
• You have implemented and shipped software for robot functionalities. 
• Robot functionalities include but are not limited to (in no particular order): robot motion and grasp planning, real-time motion control, robot safety.

#LI-DNI

We encourage you to apply to this post if you’re interested in software engineering roles but don’t see the right fit in our actively posted roles. When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit.

You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing
• You are interested and proficient in modern software development and have shipped a significant amount of high-quality software
• You enjoy solving hard problems in rich interactive full-stack software, artificial intelligence, and robotics
• You have developed (or are interested in developing) tools and intuitive interfaces for robot functionalities. 
• Robot functionalities include but are not limited to (in no particular order): APIs for authoring, editing, and simulating robot workcells, building scalable compute infrastructure for microservices, perception and vision algorithms, multi-step task planning, motion and grasp planning, machine learning for contact-rich tasks, knowledge and scene representation, Industry 4.0 representations, robot safety, data security and privacy.

#LI-DNI

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

What You’ll Be Doing 

What We Look For In You 

Nice to Haves

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants
• More that we love to tell you along the process!