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Senior Software Engineer
Everpure, Inc. Santa Clara, California
Everpure, Inc. seeks a Senior Software Engineer to design and build scalable data and analytics platforms for clients. You will develop cloud-based services, data pipelines, and APIs, applying software engineering best practices in a modern stack. Partner closely with data engineers, analysts, and client teams to understand requirements, architect solutions, and ensure reliability, performance, and security. You'll mentor engineers, contribute to standards and code reviews, and explore emerging tools in data, AI, and cloud to drive innovation in a collaborative, flexible environment. Responsibilities Design and implement scalable, secure software and data platform components Develop and maintain cloud-native services, data pipelines, and APIs Collaborate with data engineers, analysts, and client stakeholders to gather requirements and define solutions Ensure code quality through testing, code reviews, and engineering best practices Optimize performance, reliability, and observability of production systems Mentor junior engineers and contribute to technical standards and architecture decisions Evaluate and introduce new tools, frameworks, and cloud services to improve the platform Document designs, workflows, and operational runbooks for delivered solutions Required Skills Software architecture Cloud platforms (AWS/Azure/GCP) Data engineering Python or Java SQLDistributed systems APIs and microservices CI/CD pipelines Containerization (Docker/Kubernetes) Version control (Git)
09/15/2026
Full time
Everpure, Inc. seeks a Senior Software Engineer to design and build scalable data and analytics platforms for clients. You will develop cloud-based services, data pipelines, and APIs, applying software engineering best practices in a modern stack. Partner closely with data engineers, analysts, and client teams to understand requirements, architect solutions, and ensure reliability, performance, and security. You'll mentor engineers, contribute to standards and code reviews, and explore emerging tools in data, AI, and cloud to drive innovation in a collaborative, flexible environment. Responsibilities Design and implement scalable, secure software and data platform components Develop and maintain cloud-native services, data pipelines, and APIs Collaborate with data engineers, analysts, and client stakeholders to gather requirements and define solutions Ensure code quality through testing, code reviews, and engineering best practices Optimize performance, reliability, and observability of production systems Mentor junior engineers and contribute to technical standards and architecture decisions Evaluate and introduce new tools, frameworks, and cloud services to improve the platform Document designs, workflows, and operational runbooks for delivered solutions Required Skills Software architecture Cloud platforms (AWS/Azure/GCP) Data engineering Python or Java SQLDistributed systems APIs and microservices CI/CD pipelines Containerization (Docker/Kubernetes) Version control (Git)
Senior Platform Networking Software Engineer
Everpure, Inc. Santa Clara, California
Everpure, Inc. is seeking a Senior Platform Networking Software Engineer to design and build reliable, scalable networking services for modern data and analytics platforms. You'll architect and implement network-aware platform components, optimize performance, and ensure secure, resilient connectivity across cloud and hybrid environments. Partner with data engineers, architects, and client teams to integrate networking capabilities into distributed data systems, troubleshoot complex issues, and automate deployment using infrastructure-as-code. You'll mentor engineers, evaluate emerging technologies, and help shape Everpure's standards for high-performance, cloud-native data platforms. Responsibilities Design and implement networking-focused platform services for cloud and hybrid data environments. Collaborate with data engineers and architects to integrate networking capabilities into distributed data platforms. Optimize network performance, reliability, and security across services and environments. Automate deployment, configuration, and monitoring using infrastructure-as-code and CI/CD pipelines. Troubleshoot complex networking and distributed systems issues in production. Establish best practices and standards for cloud networking within Everpure's data platforms. Mentor and support junior engineers on networking and systems engineering topics. Evaluate and prototype emerging networking and cloud-native technologies for data platforms. Required Skills Distributed systems design Network protocols (TCP/IP, HTTP, g RPC) Cloud networking (VPC, peering, load balancing) Kubernetes and container networking Linux systems programming Microservices architecture Infrastructure as Code (Terraform/Cloud Formation) Network security and zero-trust concepts Performance tuning and observability Python, Go, or Java development
09/15/2026
Full time
Everpure, Inc. is seeking a Senior Platform Networking Software Engineer to design and build reliable, scalable networking services for modern data and analytics platforms. You'll architect and implement network-aware platform components, optimize performance, and ensure secure, resilient connectivity across cloud and hybrid environments. Partner with data engineers, architects, and client teams to integrate networking capabilities into distributed data systems, troubleshoot complex issues, and automate deployment using infrastructure-as-code. You'll mentor engineers, evaluate emerging technologies, and help shape Everpure's standards for high-performance, cloud-native data platforms. Responsibilities Design and implement networking-focused platform services for cloud and hybrid data environments. Collaborate with data engineers and architects to integrate networking capabilities into distributed data platforms. Optimize network performance, reliability, and security across services and environments. Automate deployment, configuration, and monitoring using infrastructure-as-code and CI/CD pipelines. Troubleshoot complex networking and distributed systems issues in production. Establish best practices and standards for cloud networking within Everpure's data platforms. Mentor and support junior engineers on networking and systems engineering topics. Evaluate and prototype emerging networking and cloud-native technologies for data platforms. Required Skills Distributed systems design Network protocols (TCP/IP, HTTP, g RPC) Cloud networking (VPC, peering, load balancing) Kubernetes and container networking Linux systems programming Microservices architecture Infrastructure as Code (Terraform/Cloud Formation) Network security and zero-trust concepts Performance tuning and observability Python, Go, or Java development
Staff Software Engineer
Everpure, Inc. Santa Clara, California
Everpure, Inc. seeks a Staff Software Engineer to lead design and delivery of a hyperscale build platform and tooling for data and analytics solutions. You'll architect CI/CD pipelines, developer tooling, and infrastructure-as-code to support large-scale cloud data platforms. Partner with data engineering teams to improve reliability, speed, and security of deployments. Mentor engineers, drive technical standards, and evaluate emerging technologies. Collaborate with clients to understand requirements and translate them into scalable, automated build systems that enable high-velocity, high-quality software delivery. Responsibilities Architect and own a hyperscale build platform and developer tooling for cloud data and analytics solutions. Design, implement, and optimize CI/CD pipelines and release automation for multiple product teams. Define and implement infrastructure as code and environment provisioning patterns. Ensure platform reliability, security, and observability for large-scale deployments. Collaborate with data engineering and client teams to translate requirements into scalable build solutions. Set technical standards, perform design reviews, and mentor senior and mid-level engineers. Evaluate and introduce new tools and practices to improve developer productivity and deployment velocity. Troubleshoot complex build, deployment, and performance issues across services and environments. Required Skills Software engineering Cloud platforms (AWS/Azure/GCP) CI/CD (Git Hub Actions, Jenkins, Git Lab CI) Infrastructure as Code (Terraform/Cloud Formation) Containerization (Docker, Kubernetes) Build systems and tooling Distributed systems architecture Observability and monitoring Security and compliance in cloud environments Scripting/programming (Python, Go, or similar)
09/15/2026
Full time
Everpure, Inc. seeks a Staff Software Engineer to lead design and delivery of a hyperscale build platform and tooling for data and analytics solutions. You'll architect CI/CD pipelines, developer tooling, and infrastructure-as-code to support large-scale cloud data platforms. Partner with data engineering teams to improve reliability, speed, and security of deployments. Mentor engineers, drive technical standards, and evaluate emerging technologies. Collaborate with clients to understand requirements and translate them into scalable, automated build systems that enable high-velocity, high-quality software delivery. Responsibilities Architect and own a hyperscale build platform and developer tooling for cloud data and analytics solutions. Design, implement, and optimize CI/CD pipelines and release automation for multiple product teams. Define and implement infrastructure as code and environment provisioning patterns. Ensure platform reliability, security, and observability for large-scale deployments. Collaborate with data engineering and client teams to translate requirements into scalable build solutions. Set technical standards, perform design reviews, and mentor senior and mid-level engineers. Evaluate and introduce new tools and practices to improve developer productivity and deployment velocity. Troubleshoot complex build, deployment, and performance issues across services and environments. Required Skills Software engineering Cloud platforms (AWS/Azure/GCP) CI/CD (Git Hub Actions, Jenkins, Git Lab CI) Infrastructure as Code (Terraform/Cloud Formation) Containerization (Docker, Kubernetes) Build systems and tooling Distributed systems architecture Observability and monitoring Security and compliance in cloud environments Scripting/programming (Python, Go, or similar)
Senior System Software Manager
Everpure, Inc. Santa Clara, California
Everpure, Inc. is seeking a Senior System Software Manager to lead the design, delivery, and operations of scalable data and analytics platforms for enterprise clients. You will manage a team of engineers building cloud-native data infrastructure, integrating data pipelines, and optimizing performance, security, and reliability. Partner closely with clients and internal consultants to translate business needs into robust system software solutions, set technical direction, and enforce engineering best practices in an agile, experimentation-friendly environment. Responsibilities Lead and mentor a team of system and data software engineers delivering client projects Architect and oversee implementation of scalable, secure cloud-based data and analytics platforms Collaborate with consultants and clients to translate business needs into technical solutions Define and enforce engineering best practices, code quality, and operational standards Own reliability, performance, and security of production systems Drive roadmap, prioritization, and sprint planning for the platform engineering team Evaluate and introduce modern tools, frameworks, and automation to improve delivery Partner with stakeholders to estimate effort, manage risk, and communicate progress Ensure documentation, knowledge sharing, and cross-training across the team Support a culture of experimentation, continuous learning, and sustainable delivery Required Skills System software architecture Cloud platforms (AWS/Azure/GCP) Data engineering SQL and No SQL databases Python or Java Containerization (Docker, Kubernetes) CI/CD pipelines Distributed systems Performance optimization Security and compliance
09/15/2026
Full time
Everpure, Inc. is seeking a Senior System Software Manager to lead the design, delivery, and operations of scalable data and analytics platforms for enterprise clients. You will manage a team of engineers building cloud-native data infrastructure, integrating data pipelines, and optimizing performance, security, and reliability. Partner closely with clients and internal consultants to translate business needs into robust system software solutions, set technical direction, and enforce engineering best practices in an agile, experimentation-friendly environment. Responsibilities Lead and mentor a team of system and data software engineers delivering client projects Architect and oversee implementation of scalable, secure cloud-based data and analytics platforms Collaborate with consultants and clients to translate business needs into technical solutions Define and enforce engineering best practices, code quality, and operational standards Own reliability, performance, and security of production systems Drive roadmap, prioritization, and sprint planning for the platform engineering team Evaluate and introduce modern tools, frameworks, and automation to improve delivery Partner with stakeholders to estimate effort, manage risk, and communicate progress Ensure documentation, knowledge sharing, and cross-training across the team Support a culture of experimentation, continuous learning, and sustainable delivery Required Skills System software architecture Cloud platforms (AWS/Azure/GCP) Data engineering SQL and No SQL databases Python or Java Containerization (Docker, Kubernetes) CI/CD pipelines Distributed systems Performance optimization Security and compliance
Senior Hardware Systems Engineer
Everpure, Inc. Santa Clara, California
Everpure, Inc. is seeking a Senior Hardware Systems Engineer to design and integrate high-performance compute, storage, and networking platforms that power our data and AI solutions. You will architect server and edge systems, validate performance, and optimize reliability for cloud and analytics workloads. Partner closely with software, data, and DevOps teams to ensure hardware platforms are scalable, secure, and cost-efficient. You'll mentor engineers, evaluate emerging technologies, and help shape Everpure's infrastructure strategy in a collaborative, learning-focused, and flexible environment. Responsibilities Architect and design server, storage, and networking platforms to support large-scale data and analytics workloads. Lead system integration, validation, and performance benchmarking to ensure reliability and scalability. Collaborate with data, software, and cloud teams to align hardware designs with platform and workload needs. Evaluate and prototype emerging hardware technologies to improve performance, efficiency, and cost. Develop standards, documentation, and best practices for hardware configuration, monitoring, and lifecycle management. Troubleshoot complex hardware issues, perform root-cause analysis, and implement long-term fixes. Mentor junior engineers and contribute to technical design reviews and architecture decisions. Support capacity planning, resiliency, and security requirements for on-prem and hybrid cloud environments. Required Skills Hardware systems design Server architecture High-performance computing (HPC) Storage and networking design System integration and validation Performance benchmarking and tuning Reliability and failure analysis Cloud infrastructure fundamentals Scripting (Python/Bash/Power Shell) Hardware security and compliance
09/15/2026
Full time
Everpure, Inc. is seeking a Senior Hardware Systems Engineer to design and integrate high-performance compute, storage, and networking platforms that power our data and AI solutions. You will architect server and edge systems, validate performance, and optimize reliability for cloud and analytics workloads. Partner closely with software, data, and DevOps teams to ensure hardware platforms are scalable, secure, and cost-efficient. You'll mentor engineers, evaluate emerging technologies, and help shape Everpure's infrastructure strategy in a collaborative, learning-focused, and flexible environment. Responsibilities Architect and design server, storage, and networking platforms to support large-scale data and analytics workloads. Lead system integration, validation, and performance benchmarking to ensure reliability and scalability. Collaborate with data, software, and cloud teams to align hardware designs with platform and workload needs. Evaluate and prototype emerging hardware technologies to improve performance, efficiency, and cost. Develop standards, documentation, and best practices for hardware configuration, monitoring, and lifecycle management. Troubleshoot complex hardware issues, perform root-cause analysis, and implement long-term fixes. Mentor junior engineers and contribute to technical design reviews and architecture decisions. Support capacity planning, resiliency, and security requirements for on-prem and hybrid cloud environments. Required Skills Hardware systems design Server architecture High-performance computing (HPC) Storage and networking design System integration and validation Performance benchmarking and tuning Reliability and failure analysis Cloud infrastructure fundamentals Scripting (Python/Bash/Power Shell) Hardware security and compliance
Sr. AI-First Full Stack Engineer
McKesson Cary, North Carolina
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes. The engineer will work across the entire software lifecycle, from business discovery, system design, and full stack application development through testing, cloud deployment, production support, and measurable adoption. The role requires a hands-on builder with strong front-end, back-end, API, data, integration, and cloud engineering fundamentals who can apply AI as an additional capability and engineering accelerator. The engineer must translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across specialty pharmacy, patient engagement, provider solutions, and operational platforms. Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and business-critical healthcare workflows where speed, reliability, scalability, and innovation directly contribute to patient outcomes and business growth. Success in this role comes from partnering closely with the business to rapidly validate solutions, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes. What You'll Do Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services. Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities. Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls. Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET. Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns. Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms. Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices. Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments. Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria. Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention. Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams. Basic Requirements 7+ years of professional software engineering experience developing enterprise-scale applications. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies. Experience developing modern front-end applications using React and TypeScript. Experience designing and consuming REST APIs, microservices, and enterprise integrations. Experience developing cloud-native applications on Microsoft Azure. Experience with CI/CD, source control, automated testing, SDLC, and Agile practices. Experience acting as a technical lead or primary owner for an enterprise application, service, or platform. Experience designing scalable architectures, documenting trade-offs, and supporting production systems. Demonstrated ability to turn ambiguous business needs into delivered technical solutions. Preferred Skills / Experience Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, Cognitive Services, and enterprise AI platforms. Experience building Generative AI solutions using Azure OpenAI, OpenAI, Claude, or comparable LLM platforms. Strong programming experience with Python, C#, TypeScript, JavaScript, Java, and .NET technologies. Experience developing full stack applications using React, TypeScript, Node.js, Python, and C#/.NET. Experience designing, developing, securing, and supporting REST APIs and enterprise integration services. Experience with Databricks, Snowflake, and governed enterprise data and analytics platforms. Experience with RAG, semantic search, vector databases, AI orchestration, agentic AI, guardrails, evaluation, and human-in-the-loop workflows. Experience with Salesforce platform development, integrations, REST APIs, workflows, and data services. Experience integrating with or supporting ServiceNow workflows, ITSM, CMDB, service catalog, and automation processes. Experience developing data visualization, analytics, and operational reporting solutions using Power BI. Experience with Docker, Kubernetes, Infrastructure as Code, Azure Monitor, Application Insights, or comparable platforms. Knowledge of distributed systems, event-driven architecture, asynchronous processing, and resiliency patterns. Experience leading application modernization, cloud transformation, or platform engineering initiatives. Experience in healthcare, specialty pharmacy, regulated industries, or high-compliance environments. Travel, Work Arrangement & Physical Requirements Hybrid or remote work arrangement based on business needs. Limited travel may be required for collaboration, planning, stakeholder discovery, or solution workshops. Ability to work on a computer for extended periods and participate in virtual collaboration activities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
09/15/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest-growing specialty pharmacy organizations. This role combines strong full stack engineering with Generative AI innovation to deliver production-grade applications powered by modern web technologies, REST APIs, cloud-native platforms, enterprise data and integrations, Large Language Models (LLMs), and AI agents in a fast-paced healthcare environment where technology directly impacts patient, provider, and business outcomes. The engineer will work across the entire software lifecycle, from business discovery, system design, and full stack application development through testing, cloud deployment, production support, and measurable adoption. The role requires a hands-on builder with strong front-end, back-end, API, data, integration, and cloud engineering fundamentals who can apply AI as an additional capability and engineering accelerator. The engineer must translate ambiguous business problems into practical solutions, collaborate directly with stakeholders, and establish standards for secure, reliable, and scalable delivery across specialty pharmacy, patient engagement, provider solutions, and operational platforms. Our team supports fast-paced specialty pharmacy operations, patient engagement, provider services, and business-critical healthcare workflows where speed, reliability, scalability, and innovation directly contribute to patient outcomes and business growth. Success in this role comes from partnering closely with the business to rapidly validate solutions, transform prototypes into scalable production capabilities, and maintain accountability for adoption, reliability, and outcomes. What You'll Do Design, develop, and deploy AI-powered applications using Claude (Anthropic), Azure OpenAI, OpenAI, and Azure AI Services. Partner directly with business stakeholders to define problems, validate workflows, rapidly prototype solutions, and convert successful concepts into production capabilities. Build RAG solutions, prompt frameworks, AI workflows, and autonomous or agentic systems with human-in-the-loop controls. Develop full stack applications using React, TypeScript, Python, C#, Java, Node.js, and .NET. Design REST APIs, microservices, event-driven architectures, and enterprise integration patterns. Integrate AI capabilities with ServiceNow, Salesforce, Snowflake, Databricks, Power BI, and other enterprise platforms. Develop cloud-native solutions on Microsoft Azure using secure engineering and DevOps practices. Build CI/CD pipelines, Infrastructure as Code, containerized workloads, and Kubernetes deployments. Serve as technical owner for assigned applications or platforms, establishing architecture standards, engineering guardrails, SLOs, and production-readiness criteria. Lead modernization, technical debt reduction, resiliency improvements, design reviews, incident resolution, and root-cause prevention. Mentor engineers and influence architecture, security, data, product, and delivery decisions across teams. Basic Requirements 7+ years of professional software engineering experience developing enterprise-scale applications. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience. Hands-on experience building and deploying applications using Java, Node.js, C#, Python, or comparable backend technologies. Experience developing modern front-end applications using React and TypeScript. Experience designing and consuming REST APIs, microservices, and enterprise integrations. Experience developing cloud-native applications on Microsoft Azure. Experience with CI/CD, source control, automated testing, SDLC, and Agile practices. Experience acting as a technical lead or primary owner for an enterprise application, service, or platform. Experience designing scalable architectures, documenting trade-offs, and supporting production systems. Demonstrated ability to turn ambiguous business needs into delivered technical solutions. Preferred Skills / Experience Experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, Cognitive Services, and enterprise AI platforms. Experience building Generative AI solutions using Azure OpenAI, OpenAI, Claude, or comparable LLM platforms. Strong programming experience with Python, C#, TypeScript, JavaScript, Java, and .NET technologies. Experience developing full stack applications using React, TypeScript, Node.js, Python, and C#/.NET. Experience designing, developing, securing, and supporting REST APIs and enterprise integration services. Experience with Databricks, Snowflake, and governed enterprise data and analytics platforms. Experience with RAG, semantic search, vector databases, AI orchestration, agentic AI, guardrails, evaluation, and human-in-the-loop workflows. Experience with Salesforce platform development, integrations, REST APIs, workflows, and data services. Experience integrating with or supporting ServiceNow workflows, ITSM, CMDB, service catalog, and automation processes. Experience developing data visualization, analytics, and operational reporting solutions using Power BI. Experience with Docker, Kubernetes, Infrastructure as Code, Azure Monitor, Application Insights, or comparable platforms. Knowledge of distributed systems, event-driven architecture, asynchronous processing, and resiliency patterns. Experience leading application modernization, cloud transformation, or platform engineering initiatives. Experience in healthcare, specialty pharmacy, regulated industries, or high-compliance environments. Travel, Work Arrangement & Physical Requirements Hybrid or remote work arrangement based on business needs. Limited travel may be required for collaboration, planning, stakeholder discovery, or solution workshops. Ability to work on a computer for extended periods and participate in virtual collaboration activities. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $126,000 - $210,000 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Senior Software Engineer
Vantor Myrtle Point, Oregon
Vantor is seeking a Senior Software Engineer to design and build modern web applications, APIs, and data driven solutions. You will own features end to end, from architecture and implementation to deployment in scalable cloud environments. Working in agile, client facing teams, you'll mentor engineers, improve code quality, and champion best practices in testing, DevOps, and automation. You'll collaborate closely with product and stakeholders to translate business needs into reliable, maintainable software that powers measurable digital transformation for our clients. Responsibilities Design, develop, and maintain modern web applications and APIs Architect scalable, cloud native solutions for client projects Collaborate with product, design, and client stakeholders to refine requirements Implement robust automated testing and code quality practices Own features end to end from design through deployment and monitoring Mentor and support other engineers through code reviews and pairing Contribute to Dev Ops and CI/CD improvements for faster, safer delivery Participate in agile ceremonies and help continuously improve team practices Required Skills Java Script/Type Script Node.js or similar backend framework React or modern front-end framework RESTful and/or Graph QL APIs SQL/No SQL databases Cloud platforms (AWS, Azure, or GCP) CI/CD pipelines and Dev Ops practices Automated testing (unit, integration) Microservices and distributed systems Agile/Scrum methodologies
09/15/2026
Full time
Vantor is seeking a Senior Software Engineer to design and build modern web applications, APIs, and data driven solutions. You will own features end to end, from architecture and implementation to deployment in scalable cloud environments. Working in agile, client facing teams, you'll mentor engineers, improve code quality, and champion best practices in testing, DevOps, and automation. You'll collaborate closely with product and stakeholders to translate business needs into reliable, maintainable software that powers measurable digital transformation for our clients. Responsibilities Design, develop, and maintain modern web applications and APIs Architect scalable, cloud native solutions for client projects Collaborate with product, design, and client stakeholders to refine requirements Implement robust automated testing and code quality practices Own features end to end from design through deployment and monitoring Mentor and support other engineers through code reviews and pairing Contribute to Dev Ops and CI/CD improvements for faster, safer delivery Participate in agile ceremonies and help continuously improve team practices Required Skills Java Script/Type Script Node.js or similar backend framework React or modern front-end framework RESTful and/or Graph QL APIs SQL/No SQL databases Cloud platforms (AWS, Azure, or GCP) CI/CD pipelines and Dev Ops practices Automated testing (unit, integration) Microservices and distributed systems Agile/Scrum methodologies
Senior Data Engineer (HCL34)
HCL GLOBAL SYSTEMS, INC. Farmington, Michigan
Location: 24543 Indoplex Circle, Suite 220, Farmington Hills, MI, 48335 and various unanticipated locations throughout the U.S Position Title: Senior Data Engineer (HCL34) Job Description: Design, develop, test, deploy, and maintain software and data engineering solutions supporting enterprise data platforms and analytics applications. Build, optimize, and support scalable data architectures and pipelines to integrate structured and unstructured data from multiple sources. Analyze business and technical requirements to design efficient data models, dataflows, and system architectures that meet performance, reliability, and scalability requirements. Develop and maintain processes for extracting, transforming, and loading data using SQL and distributed or cloud based data technologies. Ensure data quality, integrity, availability, and security through appropriate validation, monitoring, and quality assurance practices. Identify and implement process improvements, including automation, performance optimization, and infrastructure enhancements. Collaborate with cross functional teams to deliver data solutions that support analytics, reporting, and product development. Provide production support, troubleshoot system issues, and maintain data and software systems. Design and enhance data tools to support analytics and business intelligence initiatives. Research and evaluate data technologies and best practices to support evolving requirements. Manage assigned tasks and projects to ensure timely delivery. This position will require travel within the U.S. This position will require travel within the U.S. The frequency of travel will be on an as-needed basis and the purpose of travel will be for business meetings. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client site. Multiple Positions Available. Job Requirements: Requires Bachelors degree or foreign equivalent in Computer Science, Engineering (any), or related and 5 years of experience in the job offered or as a Computer Software Professional. Will also accept Masters Degree or foreign equivalent in Computer Science, Engineering (any), or related and 3 years of experience in the job offered or as a Computer Software Professional This position will require travel within the U.S. The frequency of travel will be on an as-needed basis and the purpose of travel will be for business meetings. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client site. Email resume with cover letter to . com; HCL34; EOE.
09/15/2026
Location: 24543 Indoplex Circle, Suite 220, Farmington Hills, MI, 48335 and various unanticipated locations throughout the U.S Position Title: Senior Data Engineer (HCL34) Job Description: Design, develop, test, deploy, and maintain software and data engineering solutions supporting enterprise data platforms and analytics applications. Build, optimize, and support scalable data architectures and pipelines to integrate structured and unstructured data from multiple sources. Analyze business and technical requirements to design efficient data models, dataflows, and system architectures that meet performance, reliability, and scalability requirements. Develop and maintain processes for extracting, transforming, and loading data using SQL and distributed or cloud based data technologies. Ensure data quality, integrity, availability, and security through appropriate validation, monitoring, and quality assurance practices. Identify and implement process improvements, including automation, performance optimization, and infrastructure enhancements. Collaborate with cross functional teams to deliver data solutions that support analytics, reporting, and product development. Provide production support, troubleshoot system issues, and maintain data and software systems. Design and enhance data tools to support analytics and business intelligence initiatives. Research and evaluate data technologies and best practices to support evolving requirements. Manage assigned tasks and projects to ensure timely delivery. This position will require travel within the U.S. This position will require travel within the U.S. The frequency of travel will be on an as-needed basis and the purpose of travel will be for business meetings. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client site. Multiple Positions Available. Job Requirements: Requires Bachelors degree or foreign equivalent in Computer Science, Engineering (any), or related and 5 years of experience in the job offered or as a Computer Software Professional. Will also accept Masters Degree or foreign equivalent in Computer Science, Engineering (any), or related and 3 years of experience in the job offered or as a Computer Software Professional This position will require travel within the U.S. The frequency of travel will be on an as-needed basis and the purpose of travel will be for business meetings. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client site. Email resume with cover letter to . com; HCL34; EOE.
Northrop Grumman
Systems Engineer - Level 5
Northrop Grumman Redondo Beach, California
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 5 to join our team in Redondo Beach, CA. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 5 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 5: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 8+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 5: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $177,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results . click apply for full job details
09/15/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 5 to join our team in Redondo Beach, CA. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 5 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 5: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 8+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 5: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $177,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results . click apply for full job details
Senior Hardware Systems Engineer
Everpure, Inc. Santa Clara, California
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Senior Hardware Systems Engineer within EverPure's EXA Hardware Engineering organization, you will serve as a primary technical authority driving the architectural vision, end-to-end design, and system-level validation of our next-generation enterprise and cloud-scale storage platforms. In this principal-level role, you will define the technology roadmap that bridges deep silicon/board-level hardware innovation with complex, multi-node cloud execution. You will establish design patterns, set high-speed and power/thermal benchmarks, and lead technical strategy across internal platform software teams, cross-functional executives, and global OEM/ODM/JDM partners. By defining next-generation server architectures, rack-scale power/thermal strategies, and zero-downtime resilience models, you will ensure EverPure maintains its industry-leading edge in storage performance and platform reliability. WHAT YOU'LL DO Architectural Leadership & Platform Strategy: Define and own the end-to-end multi-generational hardware roadmap for enterprise storage platforms. Drive architectural trade-off decisions across compute (x86/ARM), memory subsystems, DPUs, high-speed fabrics (PCIe Gen 5/6, CXL), and media technologies to maximize storage density, performance per watt, and TCO. JDM/ODM Governance & System Design: Lead system-level HW design reviews (schematics, layout, power tree design, thermal topology) across global OEM/ODM/JDM partners. Establish technical standards, engineering requirements documents (ERDs), and design guidelines to ensure flawless vendor execution. Validation Strategy & Framework Architecture: Architect overall hardware quality frameworks, comprehensive validation strategies, and advanced diagnostic models spanning parametric, functional, electrical, and full-stack software/firmware integration. Establish automated telemetry, stress-testing paradigms (e.g., FIO, SPEC, custom IO engines), and gating criteria for tier-0 production releases. Escalated Debug & Failure Analysis Authority: Serve as the final technical escalation point for complex, systemic hardware, signal integrity, and storage-node failures. Lead dynamic task forces across hardware, firmware, software, and silicon vendors to drive root-cause analysis (RCA) and long-term corrective action (CA) for high-impact edge cases. Test Automation & Tooling Infrastructure: Drive the architecture and adoption of automated test frameworks (Python/Bash) for hardware validation, L10 device-level, and L11 rack-level platform stability, continuously raising the bar for test coverage and cycle time reduction. Cross-Functional & Ecosystem Influence: Partner closely with executive engineering leadership, software architects, platform design, and network infrastructure teams to ensure tight HW/FW/SW co-design. Champion systemic improvements in reliability, availability, and serviceability (RAS). WHAT YOU BRING Mastery of Enterprise Server & Storage Systems: Deep architectural expertise in high-density x86 enterprise server systems, rack-scale power delivery topologies (power-tree modeling, transient analysis), dynamic thermal management, high-performance storage protocols (NVMe-oF, CXL), and multi-node rack architectures. Deep Hands-On Bring-Up & Diagnostics: Extensive experience executing complex system bring-ups, high-speed signal integrity validation (PCIe Gen 5/6, high-frequency buses), and deep-dive hardware failure analysis using advanced lab instruments and telemetry architectures (BMC, Redfish, IPMI, PCIe analyzers, SMART logs). Validation Infrastructure & Automation Expertise: Proven success building scalable, programmatic validation pipelines (Python/Shell) and rigorous system stress testing methodologies to qualify enterprise-grade L10/L11 infrastructure. Rack-Scale & Network Integration Mastery: Demonstrated expertise in setting up, validating, and debugging rack-level interconnectivity spanning servers, high-speed switches, active optics, and fabric topologies. Familiarity with leaf-spine networks, RoCE, RDMA, InfiniBand, and BGP is highly desirable. Technical Leadership & Mentorship: Track record of acting as a technical lead and force multiplier across multi-disciplinary engineering organizations. Ability to translate broad business objectives into concrete technical roadmaps, mentor senior engineers, and influence vendor CTO/engineering organizations. LOCATION & WORK ENVIRONMENT This role requires an in-office presence at our Santa Clara, CA headquarters, fostering real-time collaboration in our hardware laboratories, in compliance with EverPure's hybrid/in-office policies. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $217,000 - $326,000 USD WHAT YOU CAN EXPECT FROM US: Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
09/14/2026
Full time
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As an Senior Hardware Systems Engineer within EverPure's EXA Hardware Engineering organization, you will serve as a primary technical authority driving the architectural vision, end-to-end design, and system-level validation of our next-generation enterprise and cloud-scale storage platforms. In this principal-level role, you will define the technology roadmap that bridges deep silicon/board-level hardware innovation with complex, multi-node cloud execution. You will establish design patterns, set high-speed and power/thermal benchmarks, and lead technical strategy across internal platform software teams, cross-functional executives, and global OEM/ODM/JDM partners. By defining next-generation server architectures, rack-scale power/thermal strategies, and zero-downtime resilience models, you will ensure EverPure maintains its industry-leading edge in storage performance and platform reliability. WHAT YOU'LL DO Architectural Leadership & Platform Strategy: Define and own the end-to-end multi-generational hardware roadmap for enterprise storage platforms. Drive architectural trade-off decisions across compute (x86/ARM), memory subsystems, DPUs, high-speed fabrics (PCIe Gen 5/6, CXL), and media technologies to maximize storage density, performance per watt, and TCO. JDM/ODM Governance & System Design: Lead system-level HW design reviews (schematics, layout, power tree design, thermal topology) across global OEM/ODM/JDM partners. Establish technical standards, engineering requirements documents (ERDs), and design guidelines to ensure flawless vendor execution. Validation Strategy & Framework Architecture: Architect overall hardware quality frameworks, comprehensive validation strategies, and advanced diagnostic models spanning parametric, functional, electrical, and full-stack software/firmware integration. Establish automated telemetry, stress-testing paradigms (e.g., FIO, SPEC, custom IO engines), and gating criteria for tier-0 production releases. Escalated Debug & Failure Analysis Authority: Serve as the final technical escalation point for complex, systemic hardware, signal integrity, and storage-node failures. Lead dynamic task forces across hardware, firmware, software, and silicon vendors to drive root-cause analysis (RCA) and long-term corrective action (CA) for high-impact edge cases. Test Automation & Tooling Infrastructure: Drive the architecture and adoption of automated test frameworks (Python/Bash) for hardware validation, L10 device-level, and L11 rack-level platform stability, continuously raising the bar for test coverage and cycle time reduction. Cross-Functional & Ecosystem Influence: Partner closely with executive engineering leadership, software architects, platform design, and network infrastructure teams to ensure tight HW/FW/SW co-design. Champion systemic improvements in reliability, availability, and serviceability (RAS). WHAT YOU BRING Mastery of Enterprise Server & Storage Systems: Deep architectural expertise in high-density x86 enterprise server systems, rack-scale power delivery topologies (power-tree modeling, transient analysis), dynamic thermal management, high-performance storage protocols (NVMe-oF, CXL), and multi-node rack architectures. Deep Hands-On Bring-Up & Diagnostics: Extensive experience executing complex system bring-ups, high-speed signal integrity validation (PCIe Gen 5/6, high-frequency buses), and deep-dive hardware failure analysis using advanced lab instruments and telemetry architectures (BMC, Redfish, IPMI, PCIe analyzers, SMART logs). Validation Infrastructure & Automation Expertise: Proven success building scalable, programmatic validation pipelines (Python/Shell) and rigorous system stress testing methodologies to qualify enterprise-grade L10/L11 infrastructure. Rack-Scale & Network Integration Mastery: Demonstrated expertise in setting up, validating, and debugging rack-level interconnectivity spanning servers, high-speed switches, active optics, and fabric topologies. Familiarity with leaf-spine networks, RoCE, RDMA, InfiniBand, and BGP is highly desirable. Technical Leadership & Mentorship: Track record of acting as a technical lead and force multiplier across multi-disciplinary engineering organizations. Ability to translate broad business objectives into concrete technical roadmaps, mentor senior engineers, and influence vendor CTO/engineering organizations. LOCATION & WORK ENVIRONMENT This role requires an in-office presence at our Santa Clara, CA headquarters, fostering real-time collaboration in our hardware laboratories, in compliance with EverPure's hybrid/in-office policies. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $217,000 - $326,000 USD WHAT YOU CAN EXPECT FROM US: Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
Senior Pre-Sales Systems Engineer, Everpure Resilience
Everpure, Inc. Myrtle Point, Oregon
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE: Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services. WHAT YOU'LL DO: Develop an exhaustive understanding of what drives a customer's business and what motivates their decision making Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces 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 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 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: Pre-sales experience is required 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking Working knowledge of VMware (vCenter, ESX, virtualized storage and networking) Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers Excellent verbal and written interpersonal skills Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $234,500 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
09/14/2026
Full time
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE: Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services. WHAT YOU'LL DO: Develop an exhaustive understanding of what drives a customer's business and what motivates their decision making Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces 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 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 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: Pre-sales experience is required 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking Working knowledge of VMware (vCenter, ESX, virtualized storage and networking) Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers Excellent verbal and written interpersonal skills Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $234,500 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.
Senior Software Engineer - SoC DevOps, MLA-MI - Annapurna Labs
Annapurna Labs (U.S.) Inc. Austin, Texas
The Senior SoC Software DevOps Engineer role centers on enabling the rapid and reliable development of software for AWSs most advanced custom machine learning chips. This position is critical to supporting the Trainium and Inferentia families of silicon which power large scale AI training at AWS. The engineer will serve as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre silicon simulation environments and post silicon production deployments. By building robust automation and tooling the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available. This work has a direct impact on AWSs ability to deliver advanced ML infrastructure to its largest customers. This role operates at the intersection of hardware and software requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. It is a foundational position for the SoC software teams as it frees engineers from infrastructure burdens allowing them to focus on feature development. Success in this role will be measured by improvements in development velocity release quality and the stability of systems that support multiple teams. The position demands a proactive approach to identifying bottlenecks and a strong ability to operate within novel technical contexts without prior domain knowledge in machine learning or chip design. Key job responsibilities The engineer will own the end to end CI/CD pipelines and release processes for all SoC software components including firmware hardware abstraction layers and modeling tools. This involves designing maintaining and evolving systems that produce reliable releases for both internal verification teams and external AWS services. A key task is ensuring these pipelines function across heterogeneous environments such as Corp networks and VPC. The role requires building qualification workflows that guarantee software meets strict quality standards before reaching customers or verification teams. Another core duty is developing hardware in the loop test infrastructure that validates SoC software on actual silicon in laboratory and automated testing settings. This includes creating frameworks to run tests on real chips simulate pre silicon environments and integrate results into continuous integration workflows. Additionally the engineer must build observability tools such as dashboards that track build health test coverage and pipeline performance along with alerting systems that notify teams of regressions. A significant focus will be on identifying and removing friction in development workflows such as slow build times or complex release steps using data driven insights to prioritize improvements that accelerate team productivity. The role also involves solving novel problems like bridging disconnected environments and orchestrating synchronized releases across multiple domains. About the team We're part of the SoC Software organization within Annapurna Labs (AWS). Our three software teams - uCode, HAL (Hardware Abstraction Layer), and Modeling - build the firmware, drivers, and virtual platforms for AWS's custom ML accelerator chips. We operate like a startup: small teams, high ownership, direct impact on AWS's most strategic silicon programs. This DevOps engineer will work across all three teams, with a mandate to improve velocity, quality, and developer experience for the entire SoC software organization. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. BASIC QUALIFICATIONS - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience programming in Python and at least one of: Bash, Go, C++, or Java - Experience with infrastructure-as-code (CDK, CloudFormation, Terraform, etc.) - Experience with AWS services (Lambda, S3, EC2, CloudWatch, IAM, Secrets Manager, etc.) - Experience with Linux-based build and development environments PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with Amazon's internal build and release systems (Brazil, Pipelines, CRUX, Apollo, etc.) - Experience building cross-environment or cross-account automation (e.g., bridging corporate and isolated/air-gapped environments) - Experience with Jenkins pipeline development and administration - Experience with hardware-in-the-loop testing or supporting hardware/silicon development teams - Experience building observability infrastructure: dashboards, metrics pipelines, alerting (CloudWatch, QuickSight, or similar) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually USA, TX, Austin - 168 400.00 USD annually
09/14/2026
Full time
The Senior SoC Software DevOps Engineer role centers on enabling the rapid and reliable development of software for AWSs most advanced custom machine learning chips. This position is critical to supporting the Trainium and Inferentia families of silicon which power large scale AI training at AWS. The engineer will serve as the primary owner of infrastructure that directly affects how quickly software teams can iterate on code for both pre silicon simulation environments and post silicon production deployments. By building robust automation and tooling the role ensures that tape outs for new chips stay on schedule and that software is ready to function immediately when first silicon becomes available. This work has a direct impact on AWSs ability to deliver advanced ML infrastructure to its largest customers. This role operates at the intersection of hardware and software requiring deep expertise in infrastructure engineering to solve unique challenges such as coordinating releases across isolated environments and validating firmware on real silicon. It is a foundational position for the SoC software teams as it frees engineers from infrastructure burdens allowing them to focus on feature development. Success in this role will be measured by improvements in development velocity release quality and the stability of systems that support multiple teams. The position demands a proactive approach to identifying bottlenecks and a strong ability to operate within novel technical contexts without prior domain knowledge in machine learning or chip design. Key job responsibilities The engineer will own the end to end CI/CD pipelines and release processes for all SoC software components including firmware hardware abstraction layers and modeling tools. This involves designing maintaining and evolving systems that produce reliable releases for both internal verification teams and external AWS services. A key task is ensuring these pipelines function across heterogeneous environments such as Corp networks and VPC. The role requires building qualification workflows that guarantee software meets strict quality standards before reaching customers or verification teams. Another core duty is developing hardware in the loop test infrastructure that validates SoC software on actual silicon in laboratory and automated testing settings. This includes creating frameworks to run tests on real chips simulate pre silicon environments and integrate results into continuous integration workflows. Additionally the engineer must build observability tools such as dashboards that track build health test coverage and pipeline performance along with alerting systems that notify teams of regressions. A significant focus will be on identifying and removing friction in development workflows such as slow build times or complex release steps using data driven insights to prioritize improvements that accelerate team productivity. The role also involves solving novel problems like bridging disconnected environments and orchestrating synchronized releases across multiple domains. About the team We're part of the SoC Software organization within Annapurna Labs (AWS). Our three software teams - uCode, HAL (Hardware Abstraction Layer), and Modeling - build the firmware, drivers, and virtual platforms for AWS's custom ML accelerator chips. We operate like a startup: small teams, high ownership, direct impact on AWS's most strategic silicon programs. This DevOps engineer will work across all three teams, with a mandate to improve velocity, quality, and developer experience for the entire SoC software organization. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. BASIC QUALIFICATIONS - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - Experience programming in Python and at least one of: Bash, Go, C++, or Java - Experience with infrastructure-as-code (CDK, CloudFormation, Terraform, etc.) - Experience with AWS services (Lambda, S3, EC2, CloudWatch, IAM, Secrets Manager, etc.) - Experience with Linux-based build and development environments PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with Amazon's internal build and release systems (Brazil, Pipelines, CRUX, Apollo, etc.) - Experience building cross-environment or cross-account automation (e.g., bridging corporate and isolated/air-gapped environments) - Experience with Jenkins pipeline development and administration - Experience with hardware-in-the-loop testing or supporting hardware/silicon development teams - Experience building observability infrastructure: dashboards, metrics pipelines, alerting (CloudWatch, QuickSight, or similar) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually USA, TX, Austin - 168 400.00 USD annually
Software Development Engineer III, Annapurna Labs
Annapurna Labs (U.S.) Inc. New York, New York
About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be the technical lead for a team building AI agents and tools that simplify AWS Neuron adoption, and drive the team's vision and strategy in this space critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a senior member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: - Research implementations that deliver the best possible experiences for customers. - Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron. - Solve challenging technical problems, often ones not solved before, at every layer of the stack - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Potentially contribute intellectual property through patents - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. - Exert technical influence over the team, increasing their productivity and effectiveness by sharing your deep knowledge and experience. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - Hands-on technical experience working in the Generative AI space - Excellent written and verbal communication skills with the ability to present complex technical information concisely to executives and non-technical leaders. - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Master's degree or above in computer science or equivalent - 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization space or related areas - Domain-level knowledge of AWS services - Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually
09/14/2026
Full time
About the Team The Neuroboros team was recently created to pursue the ambitious goal of leveraging and expanding Generative AI technologies to help customers benefit from the scale and price/performance equation offered by Amazon Machine Learning hardware. The creation of the team in NYC is key to Annapurna Labs' location strategy, with the goal of creating an additional hub attracting top talent with varied backgrounds to work on challenging problems, using and building state-of-the-art tooling. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our team's breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrock, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. Job Summary You will join a dynamic team working at the cutting edge of the GenAI revolution by applying AI to AI. You will work on building agents, tools, and models to simplify and accelerate customer adoption of Neuron, the software stack supporting Amazon's Machine Learning silicon: Trainium. Partnering with external and internal customers, you will identify key obstacles and opportunities to accelerate their migration to AWS's ML silicon. You will be the technical lead for a team building AI agents and tools that simplify AWS Neuron adoption, and drive the team's vision and strategy in this space critical to AWS's Generative AI business. Key job responsibilities This role requires collaborating with other Neuron Software teams, Science, AWS AI Services, external partners and customers with a potential high impact on AWS's top and bottom line. As a senior member of the team applying Generative AI to accelerate Neuron adoption, you will play a key role in shaping this space with the following technical responsibilities: - Research implementations that deliver the best possible experiences for customers. - Deliver on goals to improve the time and effort it takes to port and optimize Machine Learning workloads on Neuron. - Solve challenging technical problems, often ones not solved before, at every layer of the stack - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Potentially contribute intellectual property through patents - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. - Exert technical influence over the team, increasing their productivity and effectiveness by sharing your deep knowledge and experience. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - Hands-on technical experience working in the Generative AI space - Excellent written and verbal communication skills with the ability to present complex technical information concisely to executives and non-technical leaders. - Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math. PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Master's degree or above in computer science or equivalent - 2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms - Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization space or related areas - Domain-level knowledge of AWS services - Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually
Software Development Engineer III, Annapurna Labs
Annapurna Labs (U.S.) Inc. Seattle, Washington
Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Senior SDE, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will design and implement a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: - Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where you're always working on the most important stuff. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually
09/14/2026
Full time
Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of Amazon innovation and one of several Amazon tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Senior Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Senior SDE, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will design and implement a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: - Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. - Build high-quality, highly available, always-on products. - Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers. - Work in a startup-like development environment, where you're always working on the most important stuff. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually
Software Development Engineer, Annapurna Labs
Annapurna Labs (U.S.) Inc. Cupertino, California
AWS Networking builds the infrastructure that powers every customer workload in the cloud. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. We are looking for a Software Development Engineer to join the ENA Express team. You will design, build, and own features across the full ENA Express software stack: Firmware on the Nitro-Card, user-space libraries, control plane components, and the performance analytics systems that help our customers get the most out of their network. This is high-ownership work - your code runs on a fleet of millions of EC2 instances, supporting customers who demand the absolute best from their network. Key job responsibilities • Design and develop features across the AWS Networking software stack on Nitro Cards. • Deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • Collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • Partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • Drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team We are a team of senior engineers with deep expertise in systems software, networking protocols, and EC2 infrastructure. Our work spans the full stack - from the Firmware on the driver Card, and NIC driver layer up through the EC2 control plane - and we collaborate closely with hardware, firmware, and platform partners. We care deeply about technical craft, operational quality, and each other's growth. BASIC QUALIFICATIONS - 2+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - Background in systems programming (C / C++) in performance-critical, production environments PREFERRED QUALIFICATIONS - Experience in Linux and Networking protocols, or experience in Linux OS and network troubleshooting - Experience in Linux and Networking protocols, or experience in Network protocols like DNS/DHCP/TCP and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience with virtualization (Hypervisors, VMware, Xen), or experience in managing and troublshooting network and experience in Network protocols like DNS/DHCP/TCP - Experience working with software teams to tightly define the HW/SW interface, including control/status registers and error handling Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually
09/14/2026
Full time
AWS Networking builds the infrastructure that powers every customer workload in the cloud. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. We are looking for a Software Development Engineer to join the ENA Express team. You will design, build, and own features across the full ENA Express software stack: Firmware on the Nitro-Card, user-space libraries, control plane components, and the performance analytics systems that help our customers get the most out of their network. This is high-ownership work - your code runs on a fleet of millions of EC2 instances, supporting customers who demand the absolute best from their network. Key job responsibilities • Design and develop features across the AWS Networking software stack on Nitro Cards. • Deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • Collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • Partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • Drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team We are a team of senior engineers with deep expertise in systems software, networking protocols, and EC2 infrastructure. Our work spans the full stack - from the Firmware on the driver Card, and NIC driver layer up through the EC2 control plane - and we collaborate closely with hardware, firmware, and platform partners. We care deeply about technical craft, operational quality, and each other's growth. BASIC QUALIFICATIONS - 2+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - Background in systems programming (C / C++) in performance-critical, production environments PREFERRED QUALIFICATIONS - Experience in Linux and Networking protocols, or experience in Linux OS and network troubleshooting - Experience in Linux and Networking protocols, or experience in Network protocols like DNS/DHCP/TCP and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience with virtualization (Hypervisors, VMware, Xen), or experience in managing and troublshooting network and experience in Network protocols like DNS/DHCP/TCP - Experience working with software teams to tightly define the HW/SW interface, including control/status registers and error handling Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually
Software Development Engineer, Neuron Foundation Tools
Annapurna Labs (U.S.) Inc. Seattle, Washington
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Tools, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
09/14/2026
Full time
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Engineer for the Neuron Foundation Tools Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will work on design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Tools, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
ASIC Test Engineer, Annapurna Silicon Operations
Annapurna Labs (U.S.) Inc. Austin, Texas
Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers, utilizing the latest process nodes and massively scaled server clusters to provide the best hardware platform to customers for both inference and training workloads. We are seeking a mid-career semiconductor test engineer with a background in classic ATE platforms to create a clean running extremely low DPPM product-line forming the foundation to our servers. As our final product is a server, not just the silicon, you will find yourself stretching beyond structural testing and incorporating a lot more mission profile testing, utilizing a variety of external controlling ICs, porting server management and customer run-time software, including the use of virtualized machines and specific microcontrollers found in the end application. As such a curious mindset and an urge to learn system architecture will greatly benefit you in this role. We are a nurturing and supporting group that will ensure you have access to all tools, code and mentorship needed to become effective in this exciting new way of working! Key job responsibilities - Hardware development for probe, final test, system level test. - Software development for each insert - General tool development support A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. - Work in a startup-like development environment, where you're always working on the most important stuff. About the team Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering or a related field - Experience in C/C++ and/or Microsoft VBA/VBT and terminal shell environments - Experience with Advantest 93K, Teradyne IGXL based testers or other system level testers PREFERRED QUALIFICATIONS - Familiar with Lua, Python, shell scripting - Compilers, generating SOs and DLLs from large code bases - Experience with JMP, Optimal plus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 136 000.00 USD annually
09/14/2026
Full time
Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers, utilizing the latest process nodes and massively scaled server clusters to provide the best hardware platform to customers for both inference and training workloads. We are seeking a mid-career semiconductor test engineer with a background in classic ATE platforms to create a clean running extremely low DPPM product-line forming the foundation to our servers. As our final product is a server, not just the silicon, you will find yourself stretching beyond structural testing and incorporating a lot more mission profile testing, utilizing a variety of external controlling ICs, porting server management and customer run-time software, including the use of virtualized machines and specific microcontrollers found in the end application. As such a curious mindset and an urge to learn system architecture will greatly benefit you in this role. We are a nurturing and supporting group that will ensure you have access to all tools, code and mentorship needed to become effective in this exciting new way of working! Key job responsibilities - Hardware development for probe, final test, system level test. - Software development for each insert - General tool development support A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: - Build high-impact solutions to deliver to our large customer base. - Participate in design discussions, code review, and communicate with internal and external stakeholders. - Work cross-functionally to help drive business decisions with your technical input. - Work in a startup-like development environment, where you're always working on the most important stuff. About the team Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. BASIC QUALIFICATIONS - Bachelor's degree in Electrical Engineering or a related field - Experience in C/C++ and/or Microsoft VBA/VBT and terminal shell environments - Experience with Advantest 93K, Teradyne IGXL based testers or other system level testers PREFERRED QUALIFICATIONS - Familiar with Lua, Python, shell scripting - Compilers, generating SOs and DLLs from large code bases - Experience with JMP, Optimal plus. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Austin - 136 000.00 USD annually
Neuron Runtime Software Development Engineer , Neuron Runtime
Annapurna Labs (U.S.) Inc. Seattle, Washington
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
09/14/2026
Full time
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually
Manager, Software Development, ENA Express Team, Annapurna Labs
Annapurna Labs (U.S.) Inc. Cupertino, California
AWS Networking builds the infrastructure that powers every customer workload in the cloud. We are seeking a hands-on Software Development Manager to lead the ENA Express team. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. Key job responsibilities • The team under your leadership will design and develop features across the AWS Networking software stack on Nitro Cards. • Together with the team you'll deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • You'll collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • You'll partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • You'll mentor junior and mid-level engineers, lead design reviews, and champion engineering best practices across the team •You'll drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 3+ years of C or C++ or Rust development experience - 5+ years of hands-on engineering experience, maintaining active programming proficiency - Hands-on experience with Network packet processing, embedded environment (on NIC development) PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
09/14/2026
Full time
AWS Networking builds the infrastructure that powers every customer workload in the cloud. We are seeking a hands-on Software Development Manager to lead the ENA Express team. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol - developed by AWS - to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. Key job responsibilities • The team under your leadership will design and develop features across the AWS Networking software stack on Nitro Cards. • Together with the team you'll deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization. • You'll collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer • You'll partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem • You'll mentor junior and mid-level engineers, lead design reviews, and champion engineering best practices across the team •You'll drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - 3+ years of C or C++ or Rust development experience - 5+ years of hands-on engineering experience, maintaining active programming proficiency - Hands-on experience with Network packet processing, embedded environment (on NIC development) PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 212 700.00 USD annually
Sr. Software Development Engineer, Annapurna Labs
Annapurna Labs (U.S.) Inc. Seattle, Washington
In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads. Key job responsibilities Provide technical leadership to the Neuron Core Tools team Work closely with the frameworks and compiler teams. Collect requirements from various other teams including training, inference and runtime. Collaborate with the compiler performance team to ensure timely release of the core performance tools. Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually USA, WA, Seattle - 168 400.00 USD annually
09/14/2026
Full time
In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads. Key job responsibilities Provide technical leadership to the Neuron Core Tools team Work closely with the frameworks and compiler teams. Collect requirements from various other teams including training, inference and runtime. Collaborate with the compiler performance team to ensure timely release of the core performance tools. Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. About Amazon Annapurna Labs: Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. About AWS Utility Computing (UC): AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. About AWS Neuron: AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually USA, WA, Seattle - 168 400.00 USD annually

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