Hardware Design Engineer, AI Inference Engine ElastixAIHardware Design Engineer, AI Inference EngineSeattle, WashingtonWe are developing a cutting-edge AI inference solution that dramatically improves efficiency through a holistic co-design approach, spanning from machine learning optimizations and a highly specialized software stack to the inference engine and underlying cloud hardware. Work hand-in-hand with software engineers to define a seamless hardware-software interface, ensuring the inference engine is highly programmable, efficient, and easy to integrate into our broader software stack and compiler.
AI Inference Infrastructure Software Engineer (Kubernetes / Cloud) ElastixAIAI Inference Infrastructure Software Engineer (Kubernetes / Cloud)Seattle, WashingtonYou'll be the connective tissue between our inference engine and the production environments where customers actually consume tokens — making sure our accelerated workloads run reliably, scale predictably, and deploy seamlessly across managed and self-hosted clusters. You'll touch everything from cluster bring-up, automating the software releases, and AI Accelerator scheduling to service reliability and cost optimization, working closely with our ML, runtime, and hardware teams to expose the full performance of our co-designed stack to end users.
AI Compiler and Performance Engineer ElastixAIAI Compiler and Performance EngineerSeattle, WashingtonAt ElastixAI, if improving inference efficiency requires inventing new quantization schemes, rethinking graph-level optimizations, or modifying the hardware ISA, we do it. In this role, you will design how LLM operations decompose into highly efficient proprietary kernel primitives, optimize execution pipelines, and co-develop abstractions with our hardware and ML teams.
Engineer Senior 2, AI Agentic Platform Tailored ManagementEngineer Senior 2, AI Agentic PlatformSeattle, WA$70.42–$91.54 / hourA Day in the Life Design and build core AI Agentic Platform capabilities — including agent orchestration layers, tool-use pipelines, memory systems, and APIs that enable product teams across Nordstrom to deploy AI agents. Our platform enables AI agents to autonomously reason, use tools, coordinate across systems, and take action on behalf of customers and business teams — powering experiences across commerce, personalization, inventory, and customer service.
Principal Forward Deployment Engineer T-MobilePrincipal Forward Deployment EngineerBellevue, Washington7-10+ years production engineering experience, including 3+ years deploying LLM-based systems in production and 2+ years delivering agentic or multi-agent systems. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role.
Applied Scientist AI/ML OpendoorApplied Scientist AI/MLSeattle, WashingtonYou’ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.).
Staff Security Engineer Manager Google LLCStaff Security Engineer ManagerKirkland, WAPreferred qualifications: Experience building, deploying, and using AI/ML-driven approaches for security workflows including vulnerability identification, risk evaluation, and scaled remediation. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Software Engineer, Managed Service for Apache Spark Google LLCSoftware Engineer, Managed Service for Apache SparkKirkland, WAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Manage Service for Apache Spark also easily integrates with other Google Cloud Platform (GCP) services like BigQuery, Dataplex (governance, lineage), Catalogs/Meta stores to give a powerful and complete platform for data processing, analytics, and machine learning.
Staff Software Engineer The Trade Desk IncStaff Software EngineerBellevue, WA$206,086–$302,200 / yearMust have two (2) years of experience with: designing and building data pipelines using distributed data processing frameworks, including Apache Spark; designing and implementing RESTful APIs and backend services; working with relational databases and NoSQL databases; and data modeling and query performance optimization for large-scale datasets. Contribute to architectural decisions for backend and data infrastructure, partner with cross-functional stakeholders to translate business requirements into technical solutions, and apply data engineering best practices including data quality validation, error handling, and recovery mechanisms.
Software Engineer, Databases (Technical Leadership) Meta Platforms IncSoftware Engineer, Databases (Technical Leadership)Bellevue, WAPeople who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. In this role, you will architect and evolve critical database systems within our MySQL team - including our custom storage layer (MyRocks) and replication layer (MyRAFT) - that underpin billions of user interactions daily.
Software Engineering Manager, GPU Reliability Google LLCSoftware Engineering Manager, GPU ReliabilitySeattle, WATeams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Engineering Analyst, Chrome Extensions Security, Trust and Safety Google LLCEngineering Analyst, Chrome Extensions Security, Trust and SafetyKirkland, WAAs a Security and Applied AI Analyst for the Chrome Web Store and Extensions Security team, you will leverage your domain expertise to perform technical investigations, uncover abuse vectors and techniques, and use your combined problem-solving and strategic acumen to improve our protection protocols and evolve them into scalable, AI driven systems. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Software Engineer, Databases Meta Platforms IncSoftware Engineer, DatabasesBellevue, WAYou will solve the most complex systems-level challenges across the organization, define multi-year technical strategy for platform reliability and performance, and serve as a force multiplier for engineering teams through deep systems expertise, AI-native workflows, and cross-functional technical leadership. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Staff Software Engineer, Agentic AI, Trust and Safety Google LLCStaff Software Engineer, Agentic AI, Trust and SafetyKirkland, WAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Partner closely with Product, Policy, and Data Science leadership to co-create the global technology stack, serving as a trusted advisor to executives and abstracting complex technical trade-offs for non-technical stakeholders.
Embedded Software Development Engineer II (C/C++), EC2 Nitro Instance Networking Amazon.com IncEmbedded Software Development Engineer II (C/C++), EC2 Nitro Instance NetworkingSeattle, WAThe Amazon Elastic Compute Cloud (EC2) Instance Networking team owns the packet pipeline that runs right beneath all our customer"s EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. This will require a thorough understanding of AWS networking components, back-end software development using a variety of AWS services, full-stack web development, and familiarity with exciting computer science fields such as machine learning and real-time data processing of time series data.
Senior Software Engineer, Security/Privacy Google LLCSenior Software Engineer, Security/PrivacyKirkland, WAAs a security and compliance engineer within the Developer Launchpad organization, you will provide technical leadership for security and compliance across a multi-product portfolio generating nearly $1B in business, including Apigee, Colab, and specialized Machine Learning (ML) applications. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community.
Staff Software Engineer, End-to-End Resource Management Google LLCStaff Software Engineer, End-to-End Resource ManagementKirkland, WA$207,000–$300,000 / yearWere looking for engineers who bring fresh ideas from all areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. The ML Systems & Cloud AI MSCA organization at Google designs, implements and manages the hardware, software, machine learning and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud.
Engineering Manager, ML Performance Google LLCEngineering Manager, ML PerformanceKirkland, WAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
Software Engineer, Edge TPU Compilers, Silicon Google LLCSoftware Engineer, Edge TPU Compilers, SiliconKirkland, WA$147,000–$211,000 / yearWere looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile-the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
Embedded Software Development Engineer II (C/C++), EC2 Instance Networking Amazon.com IncEmbedded Software Development Engineer II (C/C++), EC2 Instance NetworkingSeattle, WAThe Amazon Elastic Compute Cloud (EC2) Instance Networking team owns the packet pipeline that runs right beneath all our customer"s EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. This will require a thorough understanding of AWS networking components, back-end software development using a variety of AWS services, full-stack web development, and familiarity with exciting computer science fields such as machine learning and real-time data processing of time series data.