About the Role

We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You’ll Be Doing

• Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
• System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
• Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
• Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
• Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
• Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.

What We’re Looking For

• BS or MS in Computer Science or related field
• 5+ years of professional experience in software engineering with strong foundations in distributed systems.
• Expertise with Python or Go or C++
• Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
• Experience with the various stages of the ML development lifecycle
• Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.

Bonus Points

• Hands-on experience with ML model profiling and performance optimization for distributed training.
• Experience managing or working with high-performance compute resources (GPUs).
• Experience with ML frameworks such as PyTorch or Ray.
• Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

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.

Mission Summary

The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 
• Prior experience with agentic workflows is a plus.
• Prior experience in autonomous vehicles (AV) is a plus.

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.)

The Data Annotation Specialist is responsible for supporting the creation of human-supervised datasets to train and evaluate machine learning models to improve autonomous vehicle technology. We are looking for Specialist to support the search of raw sensor data to deliver for human annotation.  This work ensures that every frame of useful data is used to train our vehicles and meets the highest standards of safety and precision.

What you'll be doing:

• Support the processing of data from log selection through hand off for data extraction, ensuring high quality data is delivered in a timely manner for our annotation pipelines
• Prioritize between throughput, quality checks, and competing deadlines to optimize the flow of released annotated data
• Act as the point of contact for a contractor workforce to search and identify scenes for annotation
• Follow day-to-day assignments from Data Annotation Team Lead based on project timelines and changing circumstances
• Identify improvements to existing processes and work with other team members to implement with support from cross-functional partners as needed
• Collaborate with internal customers to understand data request requirements and deliver on these requirements
• Take ownership of your work by keeping stakeholders informed of progress and raising issues when support is needed.

What we're looking for:

• 2+ years of proven experience in operations or project management
• Analytical and detailed-oriented
• Ability to adapt to changing priorities quickly and easily
• Strong communication skills - can understand and explain complicated topics and ideas in a clear and concise manner
• Advanced in Excel or Google sheets

Bonus points (not required):

• BA/BS degree in technical or business discipline, or equivalent practical experience
• Prior experience in the Autonomous Vehicle or Automotive industry
• Certified Associate in Project Management (CAPM) or Project Management Profession (PMP) certification
• Experience working with diverse cultures and managing projects across multiple time zones.

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

Revolutionize the future of autonomous driving with us. We are seeking a talented Senior Frontend Software Engineer to join our Map Creator team. The successful candidate will be integral to the development of a cutting-edge, web-based semantic map annotation editor for our autonomous vehicles. This role involves managing massive-scale map data, by ensuring it can be edited, validated, and visualized, while maintaining great performance.  Furthermore, you will also take part in automating map generation processes and designing efficient user workflows to drive operational profitability. Your contributions will directly shape the future of transportation.

If you're passionate about building impactful, user-friendly solutions and thrive in a collaborative, innovative environment, this is the opportunity you've been waiting for.

What you'll tackle:

• Design, build, document, test, and maintain our web-based map editors and 3D visualizations, ensuring they handle massive datasets with ease.
• Craft clean, maintainable code that sets the standard for best practices across the team.
• Monitor, support, and resolve issues as they arise.
• Optimize web applications for peak performance, making sure our tools can handle terabytes of map data visualization, validation, and editing.
• Take ownership of projects, driving innovation and process improvements that elevate our entire workflow.
• Work hand-in-hand with Machine Learning teams to integrate automations, pushing the boundaries of what's possible in map annotation.
• Collaborate with diverse international teams to develop cutting-edge map solutions that meet the evolving needs of our researchers and engineers.
• Harness cutting-edge AI tools to supercharge your daily workflow, and actively contribute to integrating agentic AI capabilities directly into our development lifecycle.

Join our team if you:

• Possess a minimum of 5 years of experience as a frontend software engineer.
• Are a Typescript maestro and a React rockstar.
• Have a knack for UI/UX design, making complex tools intuitive and delightful.
• Write great design docs that clearly articulate technical proposals, architectural decisions, and implementation details for our mapping solutions.
• Have a rock-solid grasp of engineering fundamentals, such as observability, concurrency, parallelization, frontend architecture, and design patterns.
• Top-notch performance optimization skills.
• Love solving complex problems and are always eager to learn something new.
• Can bridge the gap between technical and non-technical international folks with your stellar communication skills.

Bonus points if you:

• Bring hands-on experience with geospatial data and modern mapping systems.
• Experience with 3D visualization libraries such as Three.js or DeckGL, or direct experience with WebGL and WebGPU.

Why This Role?

This isn’t just another web app—it’s a rare, genuinely fun frontend opportunity to build highly interactive, 2D/3D editing tools that shape the physical world. You will join a closely integrated, innovative team that is advancing autonomous driving technology to new levels. Your work will fuel the tools powering our AVs, streamline workflows, automate the complex stuff, and support our researchers and engineers as they redefine what’s possible.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

• Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
• Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
• Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
• Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.
  
  

What we're looking for:

• Education: Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
• Software Engineering: Strong proficiency in Python.
• ML Frameworks: Extensive hands-on experience with PyTorch.
• ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
• Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

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

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 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.