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Lead a new SRE team to harden Wayve’s AI-driven vehicle software, defining reliability standards, observability, and incident response for a globally distributed autonomous fleet.
Software Engineer on Wayve's AI Libraries team building Python libraries, tools, and platforms that enable ML engineers to train, evaluate, and scale autonomous driving models across large GPU clusters.
Wayve is seeking a Machine Learning Engineer to develop efficient, interactive generative world models for autonomous driving simulation. You will focus on optimizing model performance and inference latency to enable closed-loop training and evaluation of driving systems.
The Machine Learning Engineer will build and scale generative world models to create synthetic data for autonomous driving systems. This role involves collaborating with researchers to post-train models, manage large-scale GPU inference pipelines, and integrate synthetic data into the training stack for driving models.
The Staff Machine Learning Engineer (Ops) will oversee the end-to-end model development and release lifecycle for autonomous driving AI. This role involves optimizing ML delivery pipelines, enforcing quality gates, and collaborating with platform and CI/CD teams to ensure robust model deployment.
Senior Software Engineer building the data flywheel platform that turns world-scale fleet data into training data and powers foundation-model training/evaluation at Wayve, using Python, distributed data processing (Ray, Spark/Databricks), and workflow orchestration.
Build self-service AI performance tools that profile, monitor, and predict latency, memory, and compute costs for deep‑learning models across cloud and embedded hardware, collaborating with model, compiler, runtime, and hardware teams. Core tech: Python, PyTorch, performance engineering.
Lead validation of L2+ autonomous driving features, designing test strategies, building metrics, and analyzing results using Python and simulation tools, while collaborating with product, safety, and engineering teams.
Senior ML Engineer building and operating large‑scale search and indexing systems for Wayve’s multimodal video data, developing vector‑based retrieval, APIs, and evaluation pipelines using Python and tools like FAISS/LanceDB.
The DevOps CI/CD Engineer builds and maintains CI/CD pipelines and build infrastructure, improving performance, scalability, security, and developer experience for Wayve’s AI-driven autonomous vehicle software using tools like GitHub Actions, Linux, and scripting.
The Senior Product Manager will own Intercom’s Messenger channel, shaping its roadmap, collaborating with engineers and designers, and leveraging AI and data to solve customer problems and ship AI‑powered messaging features.
Leads an embedded software team that owns part of Ceva's NPU AI software stack, connecting host CPUs (SDK, runtime, drivers) with NPU firmware in C/C++. Day to day is people management, technical design and mentoring, plus global collaboration with hardware and NPU teams for edge AI devices.
Freelance full-stack developer role for Mindrift's Tendem project: designing, building, and refining browser-based web apps with real logic, state, persistence, and user input — from habit trackers to internal dashboards and AI-powered tools — on a part-time remote basis with both frontend and backend work.
Senior Solutions Engineer at Databricks demonstrating the Data Intelligence Platform to UK&I digital-native firms, running hands-on PoCs and proofs to solve complex data/AI challenges using Spark, cloud tools, and AI workflows.
Builds and maintains data analytics and AI tooling for a RegTech company in Singapore: monitoring live data, integrating data quality controls, and configuring MCP-based services to power secure, scalable AI assistants and external agents. Full-time, hybrid role collaborating with senior engineers on workflow ownership.
A forward deployed engineer embedded in client environments from week one, building and shipping end-to-end AI solutions with Azure AI Foundry, Copilot Studio, and Azure OpenAI. Works in small expert teams with stakeholders and architects to turn prototypes into production systems.
DevOps engineer on GovText, a government text-AI platform under Singapore GovTech's Assurity Trusted Solutions, building and maintaining the infrastructure behind AI services across on-premises and cloud (AWS, Azure, GCP). Day-to-day covers deployments, CI/CD pipelines, orchestration, automation, and operational support.
DevOps engineer on GovText, a text-AI platform under Assurity Trusted Solutions (a GovTech subsidiary), building and maintaining on-premises and cloud infrastructure, CI/CD pipelines, and deployments for reusable AI services used across Singapore government agencies. Core stack spans AWS/Azure/GCP, OpenShift, Elasticsearch, MongoDB, PostgreSQL, and Python/Bash/JavaScript.
A presales Solutions Architect at Databricks who owns the end-to-end technical strategy for customer accounts — leading architecture discussions, building custom demos, and driving platform adoption across data engineering, ML/AI, and real-time analytics. Core tech: Python, SQL, distributed data systems, public cloud (AWS/Azure/GCP), and the Databricks platform.
A client-facing Senior Technical Project Manager at OneReach.ai who leads planning and delivery of complex automation projects across technical, product, and customer teams, building expertise in the GSX Communication Studio (Voice, SMS, NLU, low-code/no-code) while managing account roadmaps, risks, and stakeholder communication.
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