CSQ327R185

As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the entire non-technical lifecycle of an FDE engagement.

You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.

This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, get it done execution mindset.

The impact you will have:

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).
• End-to-End Product Ownership: Act as the CEO of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.
• Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the escalation manager to unblock all technical or political issues.
• Solution Launch & Landing: Own the Day 0 launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.
• Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.

What we look for:

• Executive Presence & Communication: A Trusted Advisor with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.
• Product & Strategy Mindset: A Product Thinker and Systems Thinker who can perform a SWOT analysis, understand a competitive landscape, and define what to build and why.
• Relentless Execution: An Execution Driver with a Hands-On mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.
• Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a builder or founder capacity. (Alternatively: 5+ years in a senior, client-facing product or delivery role at a top-tier tech company or consultancy).
• Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.

THE ROLE

EverPure Singapore is seeking an experienced Systems Engineer to join the Sales team in Singapore. In this role, you will leverage your technical expertise to pilot the sales & adoption of our EverPURE solutions with prospects and existing customers in the Commercial / Public Sector Accounts space. You collaborate with customers to understand their business goals, their pain points, and propose creative solutions in collaboration with our key alliance partners. You will work closely with other pre-sales, sales, partner sales & enablement, marketing, and leadership team members to help develop and grow business with the full EverPURE portfolio of solutions.

WHAT YOU'LL DO

• Develop an exhaustive understanding of what drives Commercial / Public Sector customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the EverPure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Passionately bring to light the advantages of a EverPure solution
• Refine sales strategy and tactics, taking command of technical responsibilities
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Author responses to RFI & RFPs
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the EverPure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING 

• Creativity, empathy, an open mind, curiosity and a desire for continuous learning
• Enterprise Pre-sales experience covering Commercial / Public Sector customers in Singapore is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Linux, NFS file systems and Linux distributed network environment
• Familiarity with AWS, Azure, GCP a plus
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Familiarity with containers, k8s and microservices architectures a plus
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written interpersonal skills
• BS in CS, EE or other technical degree and/or equivalent experience
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable

We are primarily an in-office environment and therefore, you will be expected to work from the Singapore office in compliance with EverPure’s policies, unless you are on PTO, or work travel, or other approved leave.

Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We aren’t looking for someone who simply checks boxes; we’re looking for lifelong learners and "owners" who want to build the future of Identity.

Join us. Build a world where Identity belongs to you.

The Opportunity: Your Career-Defining Moment

The Sales Strategy & Operations team is the engine room of Okta’s growth. We don't just report on the business; we architect it. As a Senior Analyst for the APJ / ANZ region, you will act as a strategic co-pilot to Sales Leadership.

This isn't a "back-office" role. This is a high-visibility position for a high-potential talent who wants to own the "How" and "Why" behind our go-to-market execution. You will be tasked with removing the barriers that slow our sales teams down and leveraging the next frontier of technology—Agentic AI—to redefine what "operational excellence" looks like in the SaaS era.

How You Will Make an Impact

1. Strategic Partnership & Sales Advocacy

• Clear the Path: Partner directly with ANZ Sales Leadership to identify and dismantle friction in the sales process. You are the bridge between strategy and execution, ensuring our reps spend less time on systems and more time with customers.
• Drive the Business: Act as a trusted advisor, providing the insights, territory planning, and quota structures that empower leaders to hit their targets with precision.

2. Cross-Functional Ecosystem Orchestration

• Unify the Power of Okta: Work across Partners, Marketing, Finance, and Customer Success to ensure we are leveraging the full weight of the Okta functions. Your goal is to maximize outcomes not just for our employees, but for our entire ecosystem of prospects, customers and partners.
• Operational Discipline: Lead the annual planning process for the sales organization, architecting headcount, territory design, quota planning, pipeline targets that reflect our ambitious growth trajectory.

3. Innovation through AI & Automation

• Architect the Future: Move beyond traditional reporting. You will lead the charge in integrating AI and Agentic AI workflows into our GTM tech stack to automate mundane tasks and provide predictive insights for Marketing and Sales.
• Optimize the Stack: Master and evolve our use of Salesforce, Gong, and Clari, ensuring these tools aren't just stand alone capabilities, but competitive advantages.

What You Bring to the Team

• The Experience: 5+ years of professional experience, with at least 3 years in a high-intensity analytical role (Sales Ops, Strategy Consulting, or Finance).
• The Mindset: You are a "Superstar" self-starter. You don't wait for a playbook; you write it. You have a relentless curiosity and a desire to "own" your domain.
• Problem-Solving DNA: You can take an ambiguous business challenge, break it down into a structured project plan, and deliver data-driven results under pressure.
• Tech Literacy: Proficient in the GTM Tech Stack (Salesforce, Clari, Tableau). Most importantly, you are an AI-first thinker—you understand how LLMs and Agentic AI can be applied to business operations to drive 10x efficiency.
• SaaS Savvy: A deep understanding of SaaS business models, GTM metrics (LTV, CAC, cARR), and the mechanics of a high-growth sales cycle.

Why This Role?

This is more than a Senior Analyst position; it is a seat at the table during a pivotal chapter of Okta’s expansion in APJ. If you are looking to prove you can drive massive impact, influence executive leadership, and master the next wave of AI-driven operations, this is your moment.

#LI-TH1

#LI-Hybrid

P25122_3423316

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.

As part of Datadog’s GTM Enablement department, the Technical Solutions (TS) Enablement team helps share knowledge, provide ongoing education, create training materials, and maintain processes for our internal product experts including sales engineers, technical support engineers, technical customer enablement, and technical account managers. Our team supports a top-tier product that truly solves customer problems. We share technical and product expertise with the technical solutions team through demos, e-learning, live training, documentation, and ongoing support.

Datadog continues to grow at a rapid rate and with this exciting growth, our onboarding and ongoing training is also quickly increasing in scale and complexity. Technical Solutions Field Enablement Managers play a key part in fostering a highly engaging, positive, and professional learning environment for our technical learners. This position is responsible for providing onboarding and ongoing enablement training to our TS teams in the APJ region. We are looking for a structured communicator with a knack for simplifying the complex to develop and deliver the training content, curriculum, and programs that enable our technical solutions people to be successful in their jobs. This position is based in our Tokyo office, offering the opportunity to collaborate with local and global teams, while working at the forefront of cloud monitoring and observability.

Datadog is a monitoring service for hybrid cloud applications, assisting organizations in improving agility, increasing efficiency, and providing end-to-end visibility across the application and organization. These capabilities are provided on a SaaS-based data analytics platform that enables DevOps and other teams to accelerate go-to-market efforts, ensure application uptime, and successfully complete digital transformation initiatives.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Implement and facilitate effective in-person and virtual onboarding and technical training programs that will improve the performance and productivity of the regional technical solutions teams.
• Regionalize training programs by incorporating APJ- or Japan-specific deals, customers, competitors, etc. into the content and talk tracks, and translate into Japanese as needed.
• Partner with the Curriculum team to give feedback, and pilot new programs in development, co-building when appropriate.
• Work closely with first line technical solutions leaders to identify, develop, and deliver ad hoc training as needed.
• Work closely with technical solutions teams to observe and assess their processes, empathize with the realities of troubleshooting and demonstrating Datadog products, evaluate the impact of enablement programs and provide coaching to individual contributors, supporting TS leadership.
• Utilize understanding of Datadog products, technical solutions team performance metrics, and key relationships with cross functional partners to contribute to enablement strategy.
  
  

Who You Are:

• 3-5 years in learning and development or technical enablement, in a training or teaching role working with technical concepts 
• Experience presenting day-long or multi-day trainings
• Demonstrated history of coaching and mentoring colleagues around key role elements 
• Experience developing dynamic and engaging trainings for various audiences
• A self-starter, tech-savvy professional who can easily understand a company’s business requirements and explain Datadog’s value and technical details to C-level executives, a technical guru and everyone in between 
• Outstanding verbal and written communicator; you make the complex simple
• General knowledge of cloud technologies
• Fluency in English and Japanese

Bonus Points:

• Experience at a high growth Software-as-a-Service or technology company
• Experienced with AWS, Azure or GCP
• Knowledge of DevOps
• Experience enabling support or sales engineers with a structured methodology

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• High income earning opportunities based on individual performance
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Sales training in MEDDIC and Command of the Message
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits
• Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As part of Datadog’s GTM Enablement department, the Technical Solutions (TS) Enablement team helps share knowledge, provide ongoing education, create training materials, and maintain processes for our internal product experts including sales engineers, technical support engineers, technical customer enablement, and technical account managers. Our team supports a top-tier product that truly solves customer problems. We share technical and product expertise with the technical solutions team through demos, e-learning, live training, documentation, and ongoing support.

Datadog continues to grow at a rapid rate and with this exciting growth, our onboarding and ongoing training is also quickly increasing in scale and complexity. Technical Solutions Field Enablement Managers play a key part in fostering a highly engaging, positive, and professional learning environment for our technical learners. This position is responsible for providing onboarding and ongoing enablement training to our TS teams in the APJ region. We are looking for a structured communicator with a knack for simplifying the complex to develop and deliver the training content, curriculum, and programs that enable our technical solutions people to be successful in their jobs. This position is based in our Singapore office, offering the opportunity to collaborate with local and global teams, while working at the forefront of cloud monitoring and observability.

Datadog is a monitoring service for hybrid cloud applications, assisting organizations in improving agility, increasing efficiency, and providing end-to-end visibility across the application and organization. These capabilities are provided on a SaaS-based data analytics platform that enables DevOps and other teams to accelerate go-to-market efforts, ensure application uptime, and successfully complete digital transformation initiatives.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Implement and facilitate effective in-person and virtual onboarding and technical training programs that will improve the performance and productivity of the regional technical solutions teams.
• Regionalize training programs by incorporating APJ- or Japan-specific deals, customers, competitors, etc. into the content and talk tracks, and translate into Japanese as needed.
• Partner with the Curriculum team to give feedback, and pilot new programs in development, co-building when appropriate.
• Work closely with first line technical solutions leaders to identify, develop, and deliver ad hoc training as needed.
• Work closely with technical solutions teams to observe and assess their processes, empathize with the realities of troubleshooting and demonstrating Datadog products, evaluate the impact of enablement programs and provide coaching to individual contributors, supporting TS leadership.
• Utilize understanding of Datadog products, technical solutions team performance metrics, and key relationships with cross functional partners to contribute to enablement strategy.
  
  

Who You Are:

• 3-5 years in learning and development or technical enablement, in a training or teaching role working with technical concepts 
• Experience presenting day-long or multi-day trainings
• Demonstrated history of coaching and mentoring colleagues around key role elements 
• Experience developing dynamic and engaging trainings for various audiences
• A self-starter, tech-savvy professional who can easily understand a company’s business requirements and explain Datadog’s value and technical details to C-level executives, a technical guru and everyone in between 
• Outstanding verbal and written communicator; you make the complex simple
• General knowledge of cloud technologies
• Fluency in English and Japanese

Bonus Points:

• Experience at a high growth Software-as-a-Service or technology company
• Experienced with AWS, Azure or GCP
• Knowledge of DevOps
• Experience enabling support or sales engineers with a structured methodology

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• High income earning opportunities based on individual performance
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Sales training in MEDDIC and Command of the Message
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits
• Giving programs

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

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.

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.

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

Job Description

Abnormal AI is revolutionising cybersecurity by leveraging AI-native technologies to combat modern cyber threats. Behind every fast-moving go-to-market motion is a platform that makes it possible — and that's what the AI GTM Platform team builds. We're the engineering team powering the forward-deployed product teams who sit shoulder-to-shoulder with our customers and internal stakeholders, turning enterprise pain points into shipped product on timelines traditional enterprise cycles can't match.

If you love building leverage — tools, systems, and platforms that multiply the impact of others — and want to own products through every stage of their lifecycle, this role is for you.

What You'll Do as a Software Engineer II

As part of the AI GTM Platform team, you will:

• Build the platform that powers the field. Design and ship the internal products, APIs, and services that let our forward-deployed teams prototype, validate, and scale customer-facing solutions with unusual speed.
• Own the full product lifecycle — 0→1, 1→10, and 10→100. You'll work across Experimental, Early Access, and General Availability stages of platform products. It's rare to get to take an idea from a napkin sketch through enterprise-grade rollout; here, you'll do it, sometimes on multiple products in parallel.
• Work in one of the most dynamic problem spaces in the business. GTM is where strategy, customers, product, and revenue converge. Every customer interaction, every deal, every expansion flows through it — and the platforms you build shape how effectively all of that moves.
• Leverage AI-augmented development. Use AI coding assistants to enhance productivity, optimise workflows, and automate repetitive work.
• Combat modern cyber threats at scale. Build secure, scalable systems that sit inside a platform processing billions of security events for Fortune 500 enterprises.
• Partner closely with customers and the field. Work with the people closest to our enterprise customers to understand real problems, iterate quickly, and deliver solutions that compound over time.

Technical Requirements

We're looking for engineers who have:

• 4+ years of professional experience in software development.
• Backend development experience with Python, TypeScript, or Go.
• Solid fundamentals in at least one modern frontend framework (React, Angular, or Vue). AI accelerates a lot of the implementation work here — what matters is that you can read generated code critically, tell good patterns from bad, and ship frontends you'd be comfortable defending in review.
• Familiarity with — or genuine curiosity and willingness to learn — AI coding assistants as part of your everyday workflow.
• Experience or strong interest in building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, data structures, and performance optimisation.

Nice to Have

• Experience building internal platforms, developer tools, or systems used by other engineering and product teams.
• Background in taking products through multiple maturity stages (prototype → pilot → scale).
• Exposure to GTM, sales engineering, solutions engineering, or other customer-facing engineering environments.

Why Abnormal Security — and Why This Team

• A rare breadth of surface area. Most platform roles specialise in one stage of maturity. Here, you'll operate across experimental prototypes, early-access pilots with design partners, and fully productised GA systems — and learn how each stage demands a different kind of engineering.
• Build for the sharpest users you'll ever have. Your internal users are the technical, fast-moving teams closest to our enterprise customers. They'll give you direct, high-signal feedback and put what you ship into customers' hands quickly.
• Direct line to business impact. GTM platforms are measured by how much faster the business moves as a result. Your work compounds across every customer engagement, every quarter.
• AI-native engineering culture. We expect AI-assisted development — it's how we stay small, fast, and ambitious. You'll have real room to experiment with and shape how the team uses these tools.
• Mission that matters. The systems you build ultimately protect the world's largest enterprises from sophisticated cyber attacks.

Ready to be part of the AI transformation at Abnormal Security?

Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI coding assistants to build real-world application features. This challenge is a take-home assignment requiring 2–4 hours of work to be completed within one week — apply when you're ready!

#LI-JP2

Location: Singapore (hybrid – office + client visits)

Compensation: Low base + uncapped high commission (OTE SGD 180k–250k+ in Year 1, realistic for strong performers)

About the Role

We’re looking for a hungry, technically fluent sales professional who loves selling high-value enterprise learning solutions and thrives in a low-base, high-commission environment.

You will own the full sales cycle for GA’s AI for All Academy Solutions — our flagship suite of role-specific, hands-on AI training programs (from 3-hour workshops to 5-day accelerators) targeted at Decision-Makers, Tech & Data Teams, and Business & Operational roles.

This is not a generic SaaS or LMS sales role. You will be selling transformational upskilling that delivers measurable productivity gains and directly addresses the #1 barrier to AI adoption: skills.

What You’ll Do

• Hunt and close enterprise deals (S$100k–S$1M+ per cohort) with mid-to-large organisations in Singapore and SEA.
• Build relationships with L&D, HRBP, CIO/CTO, CHRO, and business unit leaders.
• Run technical discovery calls and live demos of our AI-Enabled → AI-Augmented → AI-Superpowered curriculum (including Agentic AI, custom GPTs, prompt engineering at scale, etc.).
• Craft custom proposals using our High-Level Designs (HLDs) for Leaders, HR, Sales, Finance, Data, etc.
• Leverage pricing flexibility (fixed cohort pricing + add-ons: assessments, post-training peer groups, industry-specific content, in-person delivery).
• Own the full funnel: outbound, inbound, RFP responses, pilot → enterprise rollout.
• Hit and exceed aggressive commission accelerators (no cap).

Compensation (the part everyone reads first)

• Base salary: SGD 80k–100k (deliberately kept low to maximise commission upside)
• On-Target Earnings (OTE): SGD 180k–250k+ in Year 1 (realistic for a strong closer)
• Commission structure: 10–15% of contract value on new business
• Uncapped — top performers regularly clear SGD 300k+
• Additional benefits: health insurance, phone allowance, learning stipend, GA course credits (yes, you can take our AI programs for free)

What You Need

Must-have

• 4+ years B2B enterprise sales experience (ideally in tech training, professional services, SaaS, or consulting)
• Ability to hold technical conversations with CTOs, Data Science leads, and L&D heads
• Proven track record of closing six-figure deals
• Comfortable with low-base/high-commission structures (you eat what you kill)

Strongly preferred

• Existing network in Singapore/SEA corporate learning space
• Experience selling to Finance, Sales, HR, or Tech functions
• Basic understanding of AI/GenAI concepts (we’ll train you on the rest)

Why Join GA Singapore Right Now?

• We are the only provider with a fully role-specific, stackable AI academy (non-tech + technical tracks) that scales from 3-hour workshops to 40-hour agentic AI accelerators.
• Massive untapped demand — 70% of leaders admit they don’t have the skills to use AI safely (State of Tech Talent report).
• You will be selling something that genuinely moves the needle for clients (see Adobe, Deloitte, GE HealthCare case studies).
• High-commission model + real equity-like upside if you build a book of recurring enterprise clients.

If you’re the type of salesperson who gets energised by complex stakeholder maps, loves demoing cutting-edge AI training, and is motivated by uncapped earnings, this is your role.

Apply with your resume + a short note on your biggest enterprise training deal to date or the reasons why you feel you would be perfect for this role.

General Assembly Singapore – Closing the AI skills gap, one enterprise at a time.

We are supporting a well-funded, next-generation Layer 1 blockchain project. The platform is purpose-built for the tokenization and on-chain circulation of real-world assets (RWA) and stablecoins, with a strong focus on institutional adoption.

The team is building infrastructure that bridges traditional Web2 institutions into Web3, expanding on-chain asset diversity, unlocking new yield opportunities, and enabling broader investor participation. Their mission is to help enterprises overcome operational, regulatory, and knowledge barriers, allowing them to deploy assets on-chain in a secure, compliant, and scalable manner. With deep RWA domain expertise and strong technical execution, the team is developing institutional-grade blockchain infrastructure and a comprehensive decentralized ecosystem designed to support large-scale, real-world asset adoption.

We are seeking an Ecosystem Lead to own strategic partnerships and ecosystem growth across key tracks such as chain integrations, DeFi protocols, asset issuers, and institutional participants. Working closely with product, engineering, and go-to-market teams, you’ll help shape how real-world financial assets are brought on-chain, adopted, and scaled.

Responsibilities

• Partnership Strategy & Ecosystem Growth
• Define and execute partnership strategies across selected tracks (e.g. chain integrations, DeFi protocol onboarding, RWA issuers, institutional funds).
• Build and maintain long-term relationships with ecosystem stakeholders, including developers, validators, asset managers, liquidity providers, and institutions.
• Identify and prioritise markets, verticals, or use cases that strengthen the platform’s position at the intersection of infrastructure and capital markets.
• Negotiate and close strategic partnerships that expand network utility, liquidity, and tokenised asset adoption.
• Business Development & Market Expansion
• Identify new business opportunities that drive TVL growth, tokenised asset flows, and sustainable revenue.
• Design incentive programs, joint go-to-market initiatives, or distribution strategies to onboard protocols, issuers, and institutional participants.
• Collaborate closely with product and engineering teams to scope integrations, align technical requirements, and co-develop high-impact use cases.
• Build co-marketing, liquidity, or pilot initiatives that demonstrate ecosystem value and partner success.
• Partner Onboarding & Relationship Management
• Own the full partner lifecycle, from first engagement through onboarding, launch, and post-launch optimisation.
• Serve as the primary point of contact for strategic partners, coordinating technical, operational, and marketing support across internal teams.
• Maintain regular communication with partners to gather feedback, resolve issues, and ensure mutual growth.
• Product Collaboration & Feedback Loop
• Act as the internal voice of partners by translating market and partner feedback into actionable product and ecosystem insights.
• Work with internal teams to improve developer tooling, APIs, documentation, and onboarding workflows.
• Provide structured feedback on market trends, technical blockers, and evolving needs across RWA, DeFi, and institutional finance.
• Thought Leadership & Industry Engagement
• Represent the company at industry conferences, panels, and ecosystem events to strengthen brand presence and network reach.
• Contribute to thought leadership efforts such as blog posts, ecosystem reports, or research collaborations highlighting the convergence of real-world assets and on-chain finance.

Qualifications

• 3–7 years of experience in business development, partnerships, or ecosystem growth within blockchain, fintech, or capital markets.
• Strong understanding of at least two of the following domains: blockchain infrastructure, DeFi protocols, RWA, financial assets, or funds.
• Proven track record of closing complex partnerships or integrations in DeFi, tokenisation, or financial infrastructure.
• Familiarity with asset tokenisation, on-chain liquidity design, and institutional capital flows is highly preferred.
• Excellent communication, negotiation, and stakeholder management skills.
• Self-driven, execution-focused, and comfortable operating in fast-paced, cross-functional, and global environments.
• Existing network across chain ecosystems, RWA platforms, DeFi protocols, or institutional investors.

You’ll Thrive in This Role If

• You’re fluent in both DeFi and traditional finance — and understand how they converge.
• You can bridge technical teams and financial institutions with clarity and credibility.
• You want to be part of a small, high-leverage team shaping how real-world economies move on-chain.