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Currently tracking 489 active AI roles, up 170% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$505k (avg $233k).

Hiring
489 / 489
Momentum (4w)
↑+622 +170%
987 opens last 4w · 365 prior 4w
Salary range · avg $233k
$98k–$505k
USD · disclosed roles only
Tracked since
Jan '25
last role today
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11
Google

Google

Big Tech

Jobs (11)

489 AI · 1524 total active
FilteredFunctionEngineering×CountryTaiwan×Clear all
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Active onlyAI only (≥ 7)
Stage
AllData · 14Pretrain · 19Post-train · 28Serve · 126Agent · 205Eval Gate · 15Ship · 82
Function
AllEngineering · 407Research · 50Product · 32
Country
AllUnited States · 301India · 45Singapore · 33United Kingdom · 21Canada · 17Switzerland · 16Poland · 15Taiwan · 11Israel · 7Mexico · 5Brazil · 4Australia · 3France · 3Japan · 3Spain · 3Sweden · 2Chile · 1China · 1Germany · 1Hong Kong · 1Romania · 1South Korea · 1
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TitleStageFunctionLocationFirst seenAI score
Forward Deployed Engineer, Generative AI, Google Cloud
Forward Deployed Engineer for Google Cloud's Generative AI team, focused on bridging frontier AI products with production-grade reality for enterprise customers. Responsibilities include leading development of agentic workflows, architecting integrations, building evaluation and observability pipelines, and acting as a feedback loop for product roadmap. Requires experience with GenAI, foundation models, RAG, and cloud platforms, with a focus on deploying AI systems into complex customer environments.
AgentServeEngineeringTaipei, Taiwan +14w ago9
AI/ML Software Engineering Manager, Google Home Camera
Lead an engineering team developing on-device machine learning models and ML pipelines for smart home cameras, managing the full lifecycle of AI-powered features with a focus on performance, power, latency, and thermal constraints on resource-constrained hardware. Responsibilities include driving ML deployment pipelines, managing trade-offs between model performance and hardware, and maintaining high engineering standards for C++ development in an embedded context.
ServePost-train
Engineering
New Taipei, Banqiao District, New Taipei City, Taiwan
3d ago
8
Software Engineer, AI Application and Agentic Development
Software Engineer role focused on building AI-driven tools and infrastructure for testing Pixel devices. The role involves creating autonomous agents, developing scalable AI-native infrastructure, and integrating AI into CI/CD pipelines and HIL systems. Emphasis on agentic development, LLMs, and internal productivity tools.
AgentServeEngineeringNew Taipei, Banqiao District, New Taipei City, Taiwan6w ago8
Senior Software Engineer, Cloud AI/ML Infrastructure
Senior Software Engineer role focused on optimizing the performance, developing tools, and troubleshooting AI/ML training and inference workloads within Google's AI infrastructure. The role involves working with distributed computing, GPUs/TPUs, and ensuring the reliability and efficiency of AI services.
ServeEngineeringTaipei, TaiwanMar 48
Software Engineer, Engineering Productivity, Pixel Tools
Software Engineer on the Pixel System Health Engineering Productivity team, focused on applying AI/ML (like Gemini) to automate bug triage, justify device quality, and improve overall Pixel product reliability and performance. The role involves developing and scaling automated triage systems, building predictive tools, and collaborating with cross-functional teams to integrate AI-powered solutions.
AgentEngineeringNew Taipei, Banqiao District, New Taipei City, Taiwanyesterday7
Senior Software Engineer, AI, TPU, Infrastructure
The role focuses on designing and implementing software for AI infrastructure, specifically connecting Tensor Processing Unit (TPU) clusters and cloud systems. It involves building and integrating cloud compute software to support AI development and deployment at scale.
ServeEngineeringTaipei, Taiwan6d ago7
Senior Software Engineer, Google Home Camera
Senior Software Engineer for Google Home Camera, focusing on the camera stack and On-Device Machine Learning (ODML) framework for AI home security products. Responsible for end-to-end ownership of NPI projects, advancing computing technologies for consumer devices, and providing technical coaching.
ServePost-trainEngineeringNew Taipei, Banqiao District, New Taipei City, Taiwan1w ago7
Senior Software Engineer, TPU, AI Infrastructure
Senior Software Engineer role focused on developing firmware and software for Google's custom AI accelerators (TPUs). The role involves designing and building low-level C++ code for embedded micro-controllers on ASICs, co-designing hardware/software interfaces, developing tools for ASIC bring-up and debugging, building simulators, and architecting telemetry systems for monitoring TPUs. This position is crucial for enabling the development and scaling of AI models and infrastructure at Google.
ServeEngineeringTaipei, Taiwan2w ago7
Software Engineering Manager, GPU AI Infrastructure
Software Engineering Manager responsible for leading a team that develops system software and networking technologies for GPU-based AI/ML supercomputers in Google's data centers. This includes managing engineers, defining technical roadmaps, and overseeing the integration, testing, deployment, and debugging of system software for accelerator products.
ServeEngineeringTaipei, Taiwan2w ago7
Senior AI System Engineer
Senior AI System Engineer role focused on influencing Tensor SoC architecture for AI/ML workloads on Pixel devices. This involves cross-functional collaboration with SW/HW architects and research teams to optimize for Power, Performance, and Area (PPA) trade-offs, enabling advanced Generative AI experiences. The role requires a data-driven approach using profiling, simulation, and modeling to define future SoC architectures and system design documentation.
ServeEngineeringNew Taipei, Banqiao District, New Taipei City, Taiwan +12w ago7
Software Engineer III, AI Infrastructure, TPU, Cloud Storage
Software Engineer III role focused on building and integrating Cloud Compute software to bootstrap TPU AI Infrastructure, including OS image deployment and node-specific software for computation offload, integrating with TPU clusters and cloud infrastructure. The role involves collaboration with TPU Software and Hardware teams and partnering with cross-functional leaders to shape ML infrastructure.
ServeEngineeringTaipei, Taiwan6w ago7