Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. The Mission: Power the Next Generation of AI We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA. The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests. This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science. Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence. Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards. Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering. What You'll Bring You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity". You thrive when: Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job. AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible You bring: Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems. Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward What You'll Create AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery Your Qualifications Technical Mastery: 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies Expert-level proficiency in Golang, Python, and C/C++ Deep understanding of Linux kernel development, file systems, and distributed systems Experience with performance analysis, optimization techniques, and building quantitative models Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases Mindset & Approach: Bold Ideas, Grounded Execution: You dream big but ship with precision Relentless Curiosity: An insatiable desire to understand how things work and how to make them better Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback AI Fluency: Confidence in using AI tools to accelerate all aspects of your work Preferred Experience: Building or optimizing storage systems for AI/ML workloads Working with high-performance computing (HPC) environments or GPU clusters Knowledge of network protocols, RDMA, and high-speed interconnects Experience with agile methodologies and rapid prototyping Education: Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate . click apply for full job details
05/26/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. The Mission: Power the Next Generation of AI We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA. The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests. This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science. Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence. Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards. Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering. What You'll Bring You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity". You thrive when: Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job. AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible You bring: Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems. Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward What You'll Create AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery Your Qualifications Technical Mastery: 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies Expert-level proficiency in Golang, Python, and C/C++ Deep understanding of Linux kernel development, file systems, and distributed systems Experience with performance analysis, optimization techniques, and building quantitative models Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases Mindset & Approach: Bold Ideas, Grounded Execution: You dream big but ship with precision Relentless Curiosity: An insatiable desire to understand how things work and how to make them better Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback AI Fluency: Confidence in using AI tools to accelerate all aspects of your work Preferred Experience: Building or optimizing storage systems for AI/ML workloads Working with high-performance computing (HPC) environments or GPU clusters Knowledge of network protocols, RDMA, and high-speed interconnects Experience with agile methodologies and rapid prototyping Education: Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate . click apply for full job details
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a Principal Product Manager to lead the definition and evolution of NetApp's AI Data Infrastructure (AIDI) portfolio. This role owns a broad, end-to-end AI infrastructure strategy, spanning ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full-stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on enabling ONTAP and complementary data services across diverse system architectures, including high-performance file and block platforms, scale-out systems, and object storage, as well as validated reference architectures. The role supports both Neocloud providers and Strategic Enterprise customers, shaping solutions that enable training, fine-tuning, inference, and emerging AI workloads across hybrid and on-prem environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the holistic AIDI product strategy, centered on ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long-term architectural evolution. Identify and prioritize AI workload use cases (training, fine-tuning, inference, multi-tenant AI platforms), and map them to storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead co-development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain validated reference architectures and certified AI designs (e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field-ready. Act as the product interface between NetApp storage platforms (ONTAP-based systems, E-Series, StorageGRID) and external partner ecosystems. Platform & Ecosystem Definition Drive platform and system architecture decisions, including storage platforms, interconnects, and system-level tradeoffs, in close partnership with architecture and engineering. Define end-to-end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define fulfillment and delivery models, including: Meet-in-the-channel offerings OEM- and ODM-based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from Neocloud providers and large enterprise customers, addressing performance, scale, multi-tenancy, and operational simplicity. Translate customer needs into clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are consumable, supportable, and aligned with real-world deployment models. Monetization & Business Models Define monetization strategies for AIDI offerings, including software licensing, subscriptions, consumption-based models, and bundled platform offerings. Partner with finance and GTM teams to assess revenue impact, pricing, margin, and cost structure across solution types. Cross-Functional Leadership Serve as the single point of accountability across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to executive leadership and field organizations. Influence long-term platform decisions that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with enterprise infrastructure, storage platforms, or cloud-adjacent systems. Strong understanding of on-prem and/or cloud infrastructure and modern data center architectures. Proven experience partnering with architecture and engineering teams to translate technical concepts into market-ready products. Experience defining product roadmaps, phased releases, and go-to-market strategies. Preferred Experience working with hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with OEM/ODM ecosystems, multi-vendor platforms, and channel-based delivery models. Background in defining monetization and licensing models for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our AI Data Infrastructure business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in AI-ready data platforms and solutions, while working closely with senior leaders across the company. Education IC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
05/26/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a Principal Product Manager to lead the definition and evolution of NetApp's AI Data Infrastructure (AIDI) portfolio. This role owns a broad, end-to-end AI infrastructure strategy, spanning ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full-stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on enabling ONTAP and complementary data services across diverse system architectures, including high-performance file and block platforms, scale-out systems, and object storage, as well as validated reference architectures. The role supports both Neocloud providers and Strategic Enterprise customers, shaping solutions that enable training, fine-tuning, inference, and emerging AI workloads across hybrid and on-prem environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the holistic AIDI product strategy, centered on ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long-term architectural evolution. Identify and prioritize AI workload use cases (training, fine-tuning, inference, multi-tenant AI platforms), and map them to storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead co-development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain validated reference architectures and certified AI designs (e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field-ready. Act as the product interface between NetApp storage platforms (ONTAP-based systems, E-Series, StorageGRID) and external partner ecosystems. Platform & Ecosystem Definition Drive platform and system architecture decisions, including storage platforms, interconnects, and system-level tradeoffs, in close partnership with architecture and engineering. Define end-to-end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define fulfillment and delivery models, including: Meet-in-the-channel offerings OEM- and ODM-based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from Neocloud providers and large enterprise customers, addressing performance, scale, multi-tenancy, and operational simplicity. Translate customer needs into clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are consumable, supportable, and aligned with real-world deployment models. Monetization & Business Models Define monetization strategies for AIDI offerings, including software licensing, subscriptions, consumption-based models, and bundled platform offerings. Partner with finance and GTM teams to assess revenue impact, pricing, margin, and cost structure across solution types. Cross-Functional Leadership Serve as the single point of accountability across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to executive leadership and field organizations. Influence long-term platform decisions that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with enterprise infrastructure, storage platforms, or cloud-adjacent systems. Strong understanding of on-prem and/or cloud infrastructure and modern data center architectures. Proven experience partnering with architecture and engineering teams to translate technical concepts into market-ready products. Experience defining product roadmaps, phased releases, and go-to-market strategies. Preferred Experience working with hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with OEM/ODM ecosystems, multi-vendor platforms, and channel-based delivery models. Background in defining monetization and licensing models for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our AI Data Infrastructure business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in AI-ready data platforms and solutions, while working closely with senior leaders across the company. Education IC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. The Mission: Power the Next Generation of AI We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA. The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests. This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science. Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence. Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards. Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering. What You'll Bring You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity". You thrive when: Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job. AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible You bring: Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems. Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward What You'll Create AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery Your Qualifications Technical Mastery: 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies Expert-level proficiency in Golang, Python, and C/C++ Deep understanding of Linux kernel development, file systems, and distributed systems Experience with performance analysis, optimization techniques, and building quantitative models Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases Mindset & Approach: Bold Ideas, Grounded Execution: You dream big but ship with precision Relentless Curiosity: An insatiable desire to understand how things work and how to make them better Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback AI Fluency: Confidence in using AI tools to accelerate all aspects of your work Preferred Experience: Building or optimizing storage systems for AI/ML workloads Working with high-performance computing (HPC) environments or GPU clusters Knowledge of network protocols, RDMA, and high-speed interconnects Experience with agile methodologies and rapid prototyping Education: Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate . click apply for full job details
05/26/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. The Mission: Power the Next Generation of AI We are standing at an inflection point. AI is transforming every industry, but beneath every breakthrough model lies a critical foundation that few see and even fewer master: the data infrastructure that makes intelligent systems possible. These positions require 3 days in office per week in one of the following offices: Boulder, CO or Pittsburgh, PA or Raleigh, NC or San Jose, CA. The Office of the Chief Platform and Technology Officer is assembling an elite team of AI Infrastructure Engineers to build the future of intelligent data systems. We don't just store data-we architect the substrate that powers AI factories, from GPU clusters running training workloads to real-time inference pipelines serving billions of requests. This is not a maintenance role. This is a creation role. You will design the systems that enable enterprises to deploy AI at an unprecedented scale, leveraging NetApp's new AI Data Engine (AIDE) and AFX disaggregated storage architecture. The Opportunity: Shape what comes next and oin us to solve challenges that exist at the absolute frontier of computer science. Build AI-Native Infrastructure Lead the architecture of next-generation storage systems optimized for AI workloads. Design high-performance data pipelines for massive-scale model training, implement intelligent caching for KV stores, and optimize data planes for GPU clusters. Your work will directly accelerate how quickly organizations can move from data to deployed intelligence. Pioneer Forward-Looking Research Work at the intersection of distributed systems, AI, and storage. Investigate novel approaches to scalable AI inferencing systems, semantic data discovery, and data curation systems. Turn proof-of-concepts into production systems that redefine industry standards. Amplify Your Impact with AI We don't just build AI-we use it. Leverage Cursor, Claude Code, and emerging AI development tools to accelerate your workflow, automate repetitive tasks, and focus on solving problems that matter. You'll operate at the cutting edge of "vibe coding" while maintaining the rigor of production-grade engineering. What You'll Bring You are a generalist with depth-someone who moves fluidly between AI technologies and distributed system architectures, who gets energy from ambiguous problems, and who possesses what we call "fearless curiosity". You thrive when: Ownership is total: You own problems end-to-end, from architecture to production operations, and take pride in systems that run flawlessly at scale Change is constant: You view rapid technological shifts as opportunities to add structure and clarity, not as obstacles Learning is relentless: You have a rich life of "side quests"-self-driven projects that demonstrate your curiosity beyond your day job. AI is a multiplier: You view AI coding assistants and generative tools as force multipliers that let you tackle complexity that was previously impossible You bring: Deep systems expertise: Mastery of Golang, Python, and C/C++, with an intuitive understanding of file systems, advanced data structures, and algorithms. You understand that storage isn't just about bits on disk-it's about enabling the next wave of intelligent applications AI infrastructure fluency: Deep knowledge of AI Infra: Kubernetes, operating systems, Storage systems and distributed systems. Quantitative intuition: The ability to build simplified performance models, identify bottlenecks through deep analysis, and design for scalability from first principles Growth mindset: For yourself, your team, and the organization. You balance optimism with realism, make smart bets, and understand that some experiments will fail fast while others will drive the company forward What You'll Create AI Data Architectures: Design storage and networking systems that connect structured and unstructured data to LLMs with unprecedented performance, enabling real-time inference and massive-scale training Intelligent Storage Systems: Build the next generation of ONTAP capabilities, focusing on AI-specific optimizations like vector store integration, semantic search, and automated data curation High-Performance Infrastructure: Develop systems capable of TB/s throughput and EB-scale data management, supporting the world's most demanding AI factories AI-Augmented Engineering: Pioneer internal tooling and workflows that use AI to accelerate development, from automated code review to intelligent debugging systems Cross-Functional Impact: Partner with hardware engineers, product managers, and researchers to deliver groundbreaking intelligent storage solutions that power everything from autonomous vehicles to pharmaceutical discovery Your Qualifications Technical Mastery: 8+ years of software development experience with a focus on systems, infrastructure, or storage technologies Expert-level proficiency in Golang, Python, and C/C++ Deep understanding of Linux kernel development, file systems, and distributed systems Experience with performance analysis, optimization techniques, and building quantitative models Familiarity with AI/ML infrastructure concepts: GPU computing, model serving, data pipelines, vector databases Mindset & Approach: Bold Ideas, Grounded Execution: You dream big but ship with precision Relentless Curiosity: An insatiable desire to understand how things work and how to make them better Collaborative Excellence: You elevate everyone around you through mentorship, knowledge sharing, and constructive feedback AI Fluency: Confidence in using AI tools to accelerate all aspects of your work Preferred Experience: Building or optimizing storage systems for AI/ML workloads Working with high-performance computing (HPC) environments or GPU clusters Knowledge of network protocols, RDMA, and high-speed interconnects Experience with agile methodologies and rapid prototyping Education: Bachelor's or master's degree in computer science, Engineering, or equivalent experience. We value what you've built and what you know over credentials alone. This is a pipeline requisition used to recruit for multiple openings across Levels 3, 4, and 5. Candidates will be evaluated and assigned to the appropriate level based on their qualifications, skills, and years of relevant experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate . click apply for full job details
HII Mission Technologies Division
California, Maryland
Requisition Number: 27748 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $128,989.00 - $185,000.00 Security Clearance: Top Secret Level of Experience: Senior This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness. HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: Summary HII Mission Technologies is seeking a Senior Software Engineer to support development and integration of advanced modeling and simulation capabilities within the Joint Simulation Environment (JSE) at NAS Patuxent River, MD. JSE is a high fidelity, continuously evolving synthetic battlespace used for training, test, threat replication, analysis, and R&D across the Navy and joint forces. As part of an on site team supporting NAWCAD, you will design, enhance, and maintain critical software components used across the JSE ecosystem-including NGTS, DIADS, GRID, and other constructive and virtual simulation frameworks. This role is ideal for an experienced C++ engineer who enjoys solving complex technical problems, contributing to large scale simulation systems, and working closely with operators, engineers, and mission stakeholders. Impact Your work directly strengthens the Navy's ability to train, test, and evaluate next generation capabilities in realistic multi domain environments. Your engineering contributions will improve simulation accuracy, system performance, interoperability, and threat representation used by aviators, analysts, and test organizations. You will play a key role in advancing JSE as a mission critical training and test environment for the Department of Defense. Key Responsibilities Design, develop, integrate, and maintain software modules for the JSE synthetic environment and related systems. Implement C++/C software features supporting constructive entities, threat systems, visualization components, and environmental behaviors. Evaluate and review C++ code, ensuring high-quality, scalable, and maintainable designs. Develop multi-threaded or parallel-processing components and inter process communication solutions. Use Git for daily development, including branching, merging, pull requests, and resolving conflicts. Work in Linux (Bash) and Windows environments; interact with remote repositories and CI/CD infrastructure. Collaborate with other engineers and system architects to design new capabilities and support integration of NGTS, DIADS, GRID, and related toolsets. Participate in software testing, debugging, documentation, and customer demonstrations. Support training, troubleshooting, and operational use of JSE components alongside government personnel. What you must have 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience. Strong experience in object oriented software development, primarily in C++. Hands-on experience using Git (branching, merging, conflict resolution). Proficiency in Linux command-line environments (Bash). Ability to manage multiple tasks and priorities in a collaborative team setting. Strong communication, troubleshooting, and organizational skills. Current or active (or interim) Secret clearance, with ability to obtain and maintain a DoD Top Secret clearance. U.S. Citizenship is required. Preferred Qualifications Active Top Secret/SCI clearance. Experience with NGTS, GRID, DIADS, ART, WSCE, FIAB, VATS, or related simulation frameworks. Experience with object oriented programming in Java or Python. Experience contributing to system architecture, design reviews, or integration planning. Background in Agile development practices. Advanced Git usage, including release management, branching strategies, and multi repo workflows. Familiarity with Red Hat Enterprise Linux (RHEL). Experience supporting Special Access Program (SAP) environments. Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press for HII Mission Technologies.
05/26/2026
Full time
Requisition Number: 27748 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $128,989.00 - $185,000.00 Security Clearance: Top Secret Level of Experience: Senior This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness. HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: Summary HII Mission Technologies is seeking a Senior Software Engineer to support development and integration of advanced modeling and simulation capabilities within the Joint Simulation Environment (JSE) at NAS Patuxent River, MD. JSE is a high fidelity, continuously evolving synthetic battlespace used for training, test, threat replication, analysis, and R&D across the Navy and joint forces. As part of an on site team supporting NAWCAD, you will design, enhance, and maintain critical software components used across the JSE ecosystem-including NGTS, DIADS, GRID, and other constructive and virtual simulation frameworks. This role is ideal for an experienced C++ engineer who enjoys solving complex technical problems, contributing to large scale simulation systems, and working closely with operators, engineers, and mission stakeholders. Impact Your work directly strengthens the Navy's ability to train, test, and evaluate next generation capabilities in realistic multi domain environments. Your engineering contributions will improve simulation accuracy, system performance, interoperability, and threat representation used by aviators, analysts, and test organizations. You will play a key role in advancing JSE as a mission critical training and test environment for the Department of Defense. Key Responsibilities Design, develop, integrate, and maintain software modules for the JSE synthetic environment and related systems. Implement C++/C software features supporting constructive entities, threat systems, visualization components, and environmental behaviors. Evaluate and review C++ code, ensuring high-quality, scalable, and maintainable designs. Develop multi-threaded or parallel-processing components and inter process communication solutions. Use Git for daily development, including branching, merging, pull requests, and resolving conflicts. Work in Linux (Bash) and Windows environments; interact with remote repositories and CI/CD infrastructure. Collaborate with other engineers and system architects to design new capabilities and support integration of NGTS, DIADS, GRID, and related toolsets. Participate in software testing, debugging, documentation, and customer demonstrations. Support training, troubleshooting, and operational use of JSE components alongside government personnel. What you must have 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience. Strong experience in object oriented software development, primarily in C++. Hands-on experience using Git (branching, merging, conflict resolution). Proficiency in Linux command-line environments (Bash). Ability to manage multiple tasks and priorities in a collaborative team setting. Strong communication, troubleshooting, and organizational skills. Current or active (or interim) Secret clearance, with ability to obtain and maintain a DoD Top Secret clearance. U.S. Citizenship is required. Preferred Qualifications Active Top Secret/SCI clearance. Experience with NGTS, GRID, DIADS, ART, WSCE, FIAB, VATS, or related simulation frameworks. Experience with object oriented programming in Java or Python. Experience contributing to system architecture, design reviews, or integration planning. Background in Agile development practices. Advanced Git usage, including release management, branching strategies, and multi repo workflows. Familiarity with Red Hat Enterprise Linux (RHEL). Experience supporting Special Access Program (SAP) environments. Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press for HII Mission Technologies.
Location: 25663 Smotherman Rd, Suite, Frisco, Texas, 75033 and various unanticipated locations throughout the U.S Position Title: Lead Database Administrator (TIS16) Job Description: Manage installation and configuration of database platforms. Provide database server configuration and server requirements. Create, enhance, and coordinate migrations of database schema implementations. Perform code reviews and performance monitoring. Work with lower level Database Administrators to develop database architectures, coding standards, and quality assurance policies and procedures. Responsible for managing multiple project teams and project architecture. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client sites. 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. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client sites. 40 hours/week, 9:00am-5:00pm, Salary: $138,965/year. Email resume with cover letter to; Job TIS16; EOE
01/15/2026
Location: 25663 Smotherman Rd, Suite, Frisco, Texas, 75033 and various unanticipated locations throughout the U.S Position Title: Lead Database Administrator (TIS16) Job Description: Manage installation and configuration of database platforms. Provide database server configuration and server requirements. Create, enhance, and coordinate migrations of database schema implementations. Perform code reviews and performance monitoring. Work with lower level Database Administrators to develop database architectures, coding standards, and quality assurance policies and procedures. Responsible for managing multiple project teams and project architecture. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client sites. 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. Travel/relocate to various unanticipated locations throughout the U.S. for long and short term assignments at client sites. 40 hours/week, 9:00am-5:00pm, Salary: $138,965/year. Email resume with cover letter to; Job TIS16; EOE
Data Analyst 1 - Hybrid Opportunity School of Humanities and Sciences, Stanford, California, United States Information Analytics Nov 06, 2025 Post Date 107534 Requisition # This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze. The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: Big Local News, situated in the journalism program in the Department of Communication at Stanford, allows journalists - whether freelancers, reporters from one company or collaborators across multiple news organizations - to share data and work together as they report out stories. Our work is designed to be journalist-driven and transformative, to help find solutions for local newsrooms' ability to produce accountability journalism and create impact. The Stanford Journalism program's mission is to serve the public's need for facts in a just, self-governed society. We develop tools to make it easier to discover important stories and lower the cost of accountability journalism through better use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and engineering. Position Summary: The Department of Communication is seeking a Data Analyst 1. The Data Analyst 1 will work under general supervision of the director of Big Local News within the department and conduct data collection, analysis and training in service of Big Local News' mission of supporting local journalism and partnering where applicable with researchers on data analyses for that purpose. This is a 95% FTE, 2-year fixed-term exempt position. This position will be based on the Stanford campus and will be considered for an option of telecommuting (hybrid of working on-site and off-site), subject to operational need. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences. CORE DUTIES: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity. Research and reconcile data discrepancies occurring among various information systems and reports. Collaborate with data managers to define and implement data standards and common data elements for data collection. Identify new sources of data and methods to improve data collection, analysis and reporting. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Lead the implementation of data standards and common data elements for data collection. Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics. Other duties may also be assigned. EDUCATION AND EXPERIENCE: Bachelor's degree and one year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS, AND ABILITIES: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external customers. WORKING CONDITIONS: Constantly perform desk-based computer tasks. Frequently stand/walk, sit, use a telephone, and grasp lightly/fine manipulation. Occasionally grasp forcefully, writing by hand. Rarely sort/file paperwork; lift/carry/push/pull objects that weigh up to 10 pounds. The expected pay range for this position is $80,148.00 to $99,773.00 per annum. The actual pay will be prorated based on the 95% FTE. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Part-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 107534 Work Arrangement : Hybrid Eligible, On Site
01/14/2026
Full time
Data Analyst 1 - Hybrid Opportunity School of Humanities and Sciences, Stanford, California, United States Information Analytics Nov 06, 2025 Post Date 107534 Requisition # This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze. The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: Big Local News, situated in the journalism program in the Department of Communication at Stanford, allows journalists - whether freelancers, reporters from one company or collaborators across multiple news organizations - to share data and work together as they report out stories. Our work is designed to be journalist-driven and transformative, to help find solutions for local newsrooms' ability to produce accountability journalism and create impact. The Stanford Journalism program's mission is to serve the public's need for facts in a just, self-governed society. We develop tools to make it easier to discover important stories and lower the cost of accountability journalism through better use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and engineering. Position Summary: The Department of Communication is seeking a Data Analyst 1. The Data Analyst 1 will work under general supervision of the director of Big Local News within the department and conduct data collection, analysis and training in service of Big Local News' mission of supporting local journalism and partnering where applicable with researchers on data analyses for that purpose. This is a 95% FTE, 2-year fixed-term exempt position. This position will be based on the Stanford campus and will be considered for an option of telecommuting (hybrid of working on-site and off-site), subject to operational need. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences. CORE DUTIES: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity. Research and reconcile data discrepancies occurring among various information systems and reports. Collaborate with data managers to define and implement data standards and common data elements for data collection. Identify new sources of data and methods to improve data collection, analysis and reporting. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Lead the implementation of data standards and common data elements for data collection. Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics. Other duties may also be assigned. EDUCATION AND EXPERIENCE: Bachelor's degree and one year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS, AND ABILITIES: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external customers. WORKING CONDITIONS: Constantly perform desk-based computer tasks. Frequently stand/walk, sit, use a telephone, and grasp lightly/fine manipulation. Occasionally grasp forcefully, writing by hand. Rarely sort/file paperwork; lift/carry/push/pull objects that weigh up to 10 pounds. The expected pay range for this position is $80,148.00 to $99,773.00 per annum. The actual pay will be prorated based on the 95% FTE. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Part-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 107534 Work Arrangement : Hybrid Eligible, On Site
Data Scientist, Stanford Law School School of Law, Stanford, California, United States Research Mar 10, 2025 Post Date 102373 Requisition : This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.As a Data Scientist, you will: Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.Support training of research fellows on best practices and technical skills Core Duties: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.Research and reconcile data discrepancies occurring among various information systems and reports.Collaborate with data managers to define and implement data standards and common data elements for data collection.Identify new sources of data and methods to improve data collection, analysis and reporting.May test prototype software and participate in approval and release process for new software.Other duties as assigned. Minimum Requirements: This is a one-year fixed term position, with the option of renewal. Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering. Knowledge, Skills and Abilities: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external stakeholders. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Application Instructions: We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application: CVCover LetterProject and code samples or GithubTranscript (if graduated within 3 years) The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 102373 Work Arrangement : Hybrid Eligible, On Site
01/14/2026
Full time
Data Scientist, Stanford Law School School of Law, Stanford, California, United States Research Mar 10, 2025 Post Date 102373 Requisition : This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.As a Data Scientist, you will: Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.Support training of research fellows on best practices and technical skills Core Duties: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.Research and reconcile data discrepancies occurring among various information systems and reports.Collaborate with data managers to define and implement data standards and common data elements for data collection.Identify new sources of data and methods to improve data collection, analysis and reporting.May test prototype software and participate in approval and release process for new software.Other duties as assigned. Minimum Requirements: This is a one-year fixed term position, with the option of renewal. Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering. Knowledge, Skills and Abilities: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external stakeholders. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Application Instructions: We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application: CVCover LetterProject and code samples or GithubTranscript (if graduated within 3 years) The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 102373 Work Arrangement : Hybrid Eligible, On Site
Space Data Manager School of Medicine, Stanford, California, United States Information Analytics Dec 18, 2025 Post Date 107709 Requisition # The mission of the Office of Facilities Planning and Management (OFPM) in the School of Medicine is to plan for and manage the facilities needs of the School of Medicine community in the areas of facilities operations, capital planning and budgeting, projects from programming through occupancy, space inventory, and facility assets. In pursuit of this mission, the department is seeking a Space Data Manager who will oversee and manage space data analytics and reporting for the School of Medicine (SoM). The Space Data Manager will serve as the primary contact and subject matter expert on all SOM space and occupancy information. This position actively participates in strategic space planning and presents SoM space analyses and recommendations to various senior leadership space and planning committees. This position is a hybrid position. Duties include : Serve as primary contact and subject matter expert on all SoM space and occupancy information. Serve as subject matter expert for all SoM space data classification, coding, and reporting requests. Create and perform space planning scenario modeling for large SoM planning projects for existing and proposed future locations. Contribute to Stanford Medicine integrated space planning scenario modeling for joint planning projects for existing and proposed future locations. Maintain high level schedule of large planning projects and critical dependencies. Develop and implement a consistent and continuous process across SoM to input and maintain accurate and complete space data in our Stanford University (SU) space data systems. Design and utilize space data reporting to inform in strategic space planning. Utilize reporting to effectively communicate and advocate for School of Medicine interests on various space and planning committees. Utilize considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Provide advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end-users. Develop and collect data for space metrics and Key Performance Indicators (KPIs) for the monthly Tableau dashboard. Analyze data for key strengths and trends. Lead annual Space Data Certification process across SoM. Facilitate the annual Inter-entity Reporting process representing SoM. Create tracking system to track all space MOU's involving SU/Stanford Medicine entities. Manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Effectively manage multiple requests from internal and external customers. Lead and supervise the OFPM Space Management Team by managing their professional development and providing strategic direction for driving the implementation of the Space Management team goals. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with space management and/or space planning required. Able to develop insightful business intelligence reports (KPI's, metrics, ad hoc queries) and/or dashboards. Able to examine data problem areas, find process redundancies, and automate or standardize the data collection process. Must have experience in space database management (e.g. Archibus). Advanced Microsoft Office (Excel, PowerPoint, etc.) skills. Experience in AutoCAD, Excel Visual Basic, PLSQL, Oracle Database, OBIEE, Tableau. Have a broad understanding of system integration, database structures, and table field mappings. Previous Stanford or University experience a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Advanced ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Advanced experience utilizing complex statistical tools and techniques. Considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of complexity, quality, and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Effectively manage multiple requests from internal and external customers. Demonstrated experience in leading projects with users/clients. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. Occasionally write by hand, twist, bend, stoop and squat. Rarely stand, walk, reach or work above shoulders and use a telephone. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours during peak business cycles. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $132,498 to $157,989 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a positionupon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4746 Employee Status: Regular Grade: J Requisition ID: 107709 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Space Data Manager School of Medicine, Stanford, California, United States Information Analytics Dec 18, 2025 Post Date 107709 Requisition # The mission of the Office of Facilities Planning and Management (OFPM) in the School of Medicine is to plan for and manage the facilities needs of the School of Medicine community in the areas of facilities operations, capital planning and budgeting, projects from programming through occupancy, space inventory, and facility assets. In pursuit of this mission, the department is seeking a Space Data Manager who will oversee and manage space data analytics and reporting for the School of Medicine (SoM). The Space Data Manager will serve as the primary contact and subject matter expert on all SOM space and occupancy information. This position actively participates in strategic space planning and presents SoM space analyses and recommendations to various senior leadership space and planning committees. This position is a hybrid position. Duties include : Serve as primary contact and subject matter expert on all SoM space and occupancy information. Serve as subject matter expert for all SoM space data classification, coding, and reporting requests. Create and perform space planning scenario modeling for large SoM planning projects for existing and proposed future locations. Contribute to Stanford Medicine integrated space planning scenario modeling for joint planning projects for existing and proposed future locations. Maintain high level schedule of large planning projects and critical dependencies. Develop and implement a consistent and continuous process across SoM to input and maintain accurate and complete space data in our Stanford University (SU) space data systems. Design and utilize space data reporting to inform in strategic space planning. Utilize reporting to effectively communicate and advocate for School of Medicine interests on various space and planning committees. Utilize considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Provide advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end-users. Develop and collect data for space metrics and Key Performance Indicators (KPIs) for the monthly Tableau dashboard. Analyze data for key strengths and trends. Lead annual Space Data Certification process across SoM. Facilitate the annual Inter-entity Reporting process representing SoM. Create tracking system to track all space MOU's involving SU/Stanford Medicine entities. Manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Effectively manage multiple requests from internal and external customers. Lead and supervise the OFPM Space Management Team by managing their professional development and providing strategic direction for driving the implementation of the Space Management team goals. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with space management and/or space planning required. Able to develop insightful business intelligence reports (KPI's, metrics, ad hoc queries) and/or dashboards. Able to examine data problem areas, find process redundancies, and automate or standardize the data collection process. Must have experience in space database management (e.g. Archibus). Advanced Microsoft Office (Excel, PowerPoint, etc.) skills. Experience in AutoCAD, Excel Visual Basic, PLSQL, Oracle Database, OBIEE, Tableau. Have a broad understanding of system integration, database structures, and table field mappings. Previous Stanford or University experience a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Advanced ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Advanced experience utilizing complex statistical tools and techniques. Considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of complexity, quality, and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Effectively manage multiple requests from internal and external customers. Demonstrated experience in leading projects with users/clients. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. Occasionally write by hand, twist, bend, stoop and squat. Rarely stand, walk, reach or work above shoulders and use a telephone. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours during peak business cycles. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $132,498 to $157,989 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a positionupon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4746 Employee Status: Regular Grade: J Requisition ID: 107709 Work Arrangement : Hybrid Eligible
Position: Quality Assurance Engineer III (multiple positions available) Location: New York, NY Multiple Positions Available: 1. Create appropriate quality plans, define test strategies, and drive test execution processes; 2. Execute functional, regression, performance, and accessibility testing; 3. 3. Develop and maintain testing strategies, including manual and automation testing; 4. Develop scripts and automated test cases, increasing efficiency; 5. Gather and report relevant and actionable quality metrics; 6. Participate in design and specification reviews, as well as use this information to design test plans; 7. Promote QA productivity through automation, tools, and other best practices; 8. Ensure comprehensive test coverage by working closely with the product and engineering teams to prioritize testing execution and report on test execution progress and results; 9. Advise project management and development teams on technical issues related to planning, developing, implementing, and modifying testing procedures. Requirements: Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field and 1 year of experience in the job offered, or Programmer/Analyst, Quality Assurance Engineer, Software Test Developer related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field followed by five progressively responsible years of experience in the job offered, or Programmer/Analyst, Quality Assurance Engineer, Software Test Developer related occupation. as equivalent to the Master's degree and one year of experience. Must have 1 year of experience in the following skill(s): 1. Collaborating with development teams, product managers and technical managers on day-to-day basis to deliver complex features to customers with high quality. 2. Testing large-scale software systems, including test planning, test design, test strategy, and test execution. 3. Developing test plans and test cases independently for largescale software systems using Java or Shell Scripts in a Windows, UNIX, or Linux environment; 4. Coding/scripting experience using languages such as Java or C# 5. Web and mobile application user interface automation testing tools such as Selenium/Appium to automate test cases 6. Test case documentation tools such as Testrail and defect tracking tools such as JIRA 7. Versioning tools: GIT, SVN. The base pay range for this position in New York City is USD $150,280 - $198,400 (hr/yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.
12/17/2025
Position: Quality Assurance Engineer III (multiple positions available) Location: New York, NY Multiple Positions Available: 1. Create appropriate quality plans, define test strategies, and drive test execution processes; 2. Execute functional, regression, performance, and accessibility testing; 3. 3. Develop and maintain testing strategies, including manual and automation testing; 4. Develop scripts and automated test cases, increasing efficiency; 5. Gather and report relevant and actionable quality metrics; 6. Participate in design and specification reviews, as well as use this information to design test plans; 7. Promote QA productivity through automation, tools, and other best practices; 8. Ensure comprehensive test coverage by working closely with the product and engineering teams to prioritize testing execution and report on test execution progress and results; 9. Advise project management and development teams on technical issues related to planning, developing, implementing, and modifying testing procedures. Requirements: Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field and 1 year of experience in the job offered, or Programmer/Analyst, Quality Assurance Engineer, Software Test Developer related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field followed by five progressively responsible years of experience in the job offered, or Programmer/Analyst, Quality Assurance Engineer, Software Test Developer related occupation. as equivalent to the Master's degree and one year of experience. Must have 1 year of experience in the following skill(s): 1. Collaborating with development teams, product managers and technical managers on day-to-day basis to deliver complex features to customers with high quality. 2. Testing large-scale software systems, including test planning, test design, test strategy, and test execution. 3. Developing test plans and test cases independently for largescale software systems using Java or Shell Scripts in a Windows, UNIX, or Linux environment; 4. Coding/scripting experience using languages such as Java or C# 5. Web and mobile application user interface automation testing tools such as Selenium/Appium to automate test cases 6. Test case documentation tools such as Testrail and defect tracking tools such as JIRA 7. Versioning tools: GIT, SVN. The base pay range for this position in New York City is USD $150,280 - $198,400 (hr/yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.
Nokia of America Corporation
Sunnyvale, California
SALARY RANGE: $150,229 - 223,105 per year WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m.5:00 p.m.) JOB REQUIREMENTS: Masters degree or foreign equivalent in Computer Science, Electrical Engineering, Electronics Engineering, Telecommunications, or a related field. Education or Experience in: Scripting languages: C or C++; TCL, Python, or Bash; Routing protocols, including OSPF or BGP used to carry traffic on the internet from layers 2-7 of the OSI model with particular emphasis for L2 and L3 networking layers; Routing Technologies functionalities; Virtualized Networks, Data Networks and Computer Networking; and Operation of software defined and virtualized networks. Telecommuting from a location within commuting distance of Sunnyvale, CA may be permitted up to 40%. Skills may be gained through experience or academic coursework. Qualifying education, coursework, and/or experience may have been gained concurrently. QUALIFIED APPLICANTS: Interested applicants should email their CV to & specify Requisition in the subject line. If offered employment, must have legal right to work in the U.S. EOE. Nokia of America Corporation offers a comprehensive compensation and benefits package. No phone calls or agencies please. Nokia of America Corporation is an equal opportunity employer.
12/17/2025
SALARY RANGE: $150,229 - 223,105 per year WORK SCHEDULE: 40 hours per week, M-F (9:00 a.m.5:00 p.m.) JOB REQUIREMENTS: Masters degree or foreign equivalent in Computer Science, Electrical Engineering, Electronics Engineering, Telecommunications, or a related field. Education or Experience in: Scripting languages: C or C++; TCL, Python, or Bash; Routing protocols, including OSPF or BGP used to carry traffic on the internet from layers 2-7 of the OSI model with particular emphasis for L2 and L3 networking layers; Routing Technologies functionalities; Virtualized Networks, Data Networks and Computer Networking; and Operation of software defined and virtualized networks. Telecommuting from a location within commuting distance of Sunnyvale, CA may be permitted up to 40%. Skills may be gained through experience or academic coursework. Qualifying education, coursework, and/or experience may have been gained concurrently. QUALIFIED APPLICANTS: Interested applicants should email their CV to & specify Requisition in the subject line. If offered employment, must have legal right to work in the U.S. EOE. Nokia of America Corporation offers a comprehensive compensation and benefits package. No phone calls or agencies please. Nokia of America Corporation is an equal opportunity employer.
