Senior Software Engineer, Platform Security Anduril Industries IncSenior Software Engineer, Platform SecuritySeattle, WA$191,000–$253,000 / yearYou''ll partner directly with business line engineering teams to understand their systems, threat models, and security requirements - then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources.
Software Engineer, Clinical Data XealthSoftware Engineer, Clinical DataSeattle, WA$155,000–$180,000 / yearAs a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek's World's Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026. At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients.
Software Engineer, Infrastructure Modelling Fluidstack LtdSoftware Engineer, Infrastructure ModellingSeattle, WAIf there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role youve applied for, and the date you submitted your application-- someone from our recruiting team will be in touch. Powerful AI will be the biggest lever for human choice weve ever built - but only if models are aligned with what humanity actually wants.
Software Engineer, Data Platform XealthSoftware Engineer, Data PlatformSeattle, WA$150,000–$175,000 / yearCross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. As a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek's World's Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026.
Software Engineer, Manufacturing Test Anduril Industries IncSoftware Engineer, Manufacturing TestBellevue, WA$166,000–$220,000 / yearTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources.
Senior Software Engineer, Manufacturing Test Anduril Industries IncSenior Software Engineer, Manufacturing TestBellevue, WA$191,000–$253,000 / yearTo ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources.
Backend Software Engineer, Liveops BRINCBackend Software Engineer, LiveopsSeattle, WAOur cutting-edge solutions are utilized by over 600 public safety agencies across America and the company has raised over $150M from investors, including Index Ventures, Motorola Solutions, Sam Altman, Dylan Field, Mike Volpe, Alexandr Wang and more. Experience building backend platforms, from the infrastructure up to the API layer (bonus if you've built real-time data platforms, scalable microservice architectures, and dealing with security & encryption requirements).
Sr. Silicon Design Engineer: Hardware-Software Co-Design Advanced Micro Devices, IncSr. Silicon Design Engineer: Hardware-Software Co-DesignBellevue, WashingtonCollaborate directly with AMD GPU hardware and firmware teams to evaluate proposed hardware features, providing software-grounded analysis of how changes to the memory subsystem, cache coherence protocols, or execution units affect workloads that matter. You will work with hardware architects to model and evaluate how GPU microarchitecture, AI frameworks, and the ROCm software stack interact, using that analysis to drive improvements in both performance and energy efficiency across the AI compute stack.
Software Research Engineer Advanced Micro Devices IncSoftware Research EngineerBellevue, WAA successful candidate will need to employ strong knowledge in AI/ML technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering research and advanced development, and is diligent and passionate about Technology.
SENIOR SILICON DESIGN ENGINEER: Hardware-Software Co-Design, GPU Compute and AI Compilers & Runtimes Advanced Micro Devices IncSENIOR SILICON DESIGN ENGINEER: Hardware-Software Co-Design, GPU Compute and AI Compilers & RuntimesBellevue, WACollaborate directly with AMD GPU hardware and firmware teams to evaluate proposed hardware features, providing software-grounded analysis of how changes to the memory subsystem, cache coherence protocols, or execution units affect workloads that matter. You will work with hardware architects to model and evaluate how GPU microarchitecture, AI frameworks, and the ROCm software stack interact, using that analysis to drive improvements in both performance and energy efficiency across the AI compute stack.
Forward Deployed Engineer- Palantir DeloitteForward Deployed Engineer- PalantirSeattle, WA$134,500–$265,100 / year1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with Palantir including hands-on experience with one of the following key platforms/products; Foundry, AIP, Maven + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
Senior Forward Deployed Engineer - Databricks DeloitteSenior Forward Deployed Engineer - DatabricksSeattle, WA$155,600–$306,800 / year1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with Databricks including hands on experience with one of the following key platform technologies; DBRX, MLflow, Vector Search, Databricks AI Gateway + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code o + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Senior Forward Deployed Engineers (SFDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
UX Design Engineer, Content Tooling DoorDash IncUX Design Engineer, Content ToolingSeattle, WA$124,400–$183,000 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. You'll accelerate content design AI tooling so that CD's can focus on the highest leverage strategic work, while your tools enable product designers and cross functional partners to ship high-quality content faster across DoorDash, Wolt, and Deliveroo.
Engineer 2: AI Agentic Solutions (Hybrid - Seattle, WA) NordstromEngineer 2: AI Agentic Solutions (Hybrid - Seattle, WA)Seattle, Washington$121,500–$188,500 / yearWe define the “art of the possible” with agents — partnering with business and technology teams to identify where agentic AI can meaningfully change how Nordstrom operates, then designing and building those solutions end-to-end across commerce, personalization, inventory, and customer service. Apply AI fluency to integrate LLM APIs, embedding models, vector stores, and agentic frameworks into production services, and build the evaluations and guardrails — offline benchmarks and online telemetry — that demonstrate those components are safe, reliable, and accurate.
Senior Forward Deployed Engineer, Palantir DeloitteSenior Forward Deployed Engineer, PalantirSeattle, WA$155,600–$306,800 / year1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with Palantir including hands on experience with one of the following key platforms; Foundry, AIP, Maven + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
Forward Deployed Engineer, Microsoft AI & Data DeloitteForward Deployed Engineer, Microsoft AI & DataSeattle, WA$134,500–$265,100 / year1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
Senior Forward Deployed Engineer, Snowflake DeloitteSenior Forward Deployed Engineer, SnowflakeSeattle, WA$155,600–$306,800 / year1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
Forward Deployed Engineer, Frontier GenAI DeloitteForward Deployed Engineer, Frontier GenAISeattle, WA$134,500–$265,100 / year1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK + 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions + 1+ years of experience building reliable, maintainable, and well-documented code + Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred qualifications + Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking) + Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments + Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation + Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management + Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures + Experience operating within hybrid onshore/offshore teams + Familiarity with security, privacy, and compliance considerations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
Deloitte Cyber Forward Deployed Engineer/Senior Consultant DeloitteDeloitte Cyber Forward Deployed Engineer/Senior ConsultantSeattle, WA$113,100–$208,300 / yearWork you'll do As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for: + Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture + Identifying, troubleshooting, and resolving technical issues within scope + Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes + Contributing to solution design and aligning client needs with delivery feasibility + Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to lead projects or workstreams + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The team Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. + 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments + 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK + Understanding of AI system architectures and ability to align application pipelines to support them.
Senior Machine Learning Engineer Warner Bros. Discovery IncSenior Machine Learning EngineerBellevue, WA$159,180–$295,620 / yearBehind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next…. Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow, Feature Store, Unity Catalog, Asset Bundles, Genie).