IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Principal Scientist – Fault-Tolerant Quantum Algorithms to lead the technical development in utilizing IonQ’s quantum computers to create highly differentiated quantum solutions that will bring value to society. As a Principal Scientist – Fault-Tolerant Quantum Algorithms, you’ll be be a visionary and pace-setter for a cross-functional team whose mission is to lead IonQ on a multi-generational journey to solve the world’s most complex problems using the world’s best quantum computers built at IonQ. As a world-renowned leader on fault-tolerant algorithms, you will help discover the next generation of quantum applications that are poised to deliver results exceeding state-of-the-art classical methods. You will play a key role in developing core IP, computational resource models, long-term roadmaps and end-to-end workflows that have the potential to disrupt the field of computing. You will also work closely with product, engineering, marketing, sales, operations, and external customers/partners to brainstorm new ideas, propose complex, multi-year initiatives and represent IonQ at high-visibility technical conferences (often all in a single day)! Responsibilities: Lead the conception, implementation and optimization of fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals Drive multi-disciplinary teams to identify, define and solve challenging problems using IonQ trapped-ion quantum computers. Inspire and influence IonQ stakeholders as well as external luminaries in academia / industry / government to contribute to moonshot collaborations. Be a go-to expert to do SWOT analyses of FTQC algorithms, especially as they compare to NISQ algorithms and classical HPC algorithms. Communicate the current state-of-the-art, competitive landscape, scaling behaviors, trade offs, cross-over points using language that is appropriate for technical, business and general audiences. Develop a portfolio of foundational IP, commercially relevant applications and high-impact-factor peer-reviewed publications. Contribute toward IonQ’s technical roadmap and share externally with academics, customers, press, investors, etc. You’d be a good fit with: PhD in Mathematics, Computer Science, Physics or another STEM domain, or equivalent work experience Professional work experience in the quantum computing field solving the toughest challenges for society World-class expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value. Current portfolio of invited talks, repos, licenses, publications and/or patents Renowned contributor within the FTQC algorithm community including the development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI) and ecosystem (economic development, standards) Relentless dedication to optimizing quantum algorithms (accuracy, time-to-solution) through first-principles/elegant theoretical equations as well as engineering optimization; documented performance gains Mastery of key mathematical techniques used in quantum computing. Ability to communicate complex concepts to audiences ranging from domain experts to investors to the general public Ability to deliver excellence across all scales: technical leader, team player and IC You’d be a great fit with: 10+ years of professional work experience developing FT quantum algorithms that align with realistic industry problems such as computer-aided engineering, phase transitions, reaction modeling, etc. Ability to supervise and review codes in Python and Qiskit or similar quantum SDKs; working knowledge of C++. Ability to bring the best out of team members working in a customer-focused, rapidly changing environment Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus. Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US or Canada. Travel: Up to 10% Job ID: 1372 The approximate base salary range for this position is $221,925 - $290,558 . The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at ionq.co/jobs . Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

The AI Solutions Architect is responsible for partnering with business units across the organization to identify operational bottlenecks, evaluate automation and AI opportunities, and architect solutions that drive measurable efficiency gains across multiple service lines. This role combines deep technical expertise in AI, data engineering, and platform architecture with strong business acumen and stakeholder engagement skills. Meet regularly with business unit leaders to understand operational pain points, inefficiencies, and automation opportunities. Translate business problems into technical solution designs that leverage AI, automation, and modern platform capabilities. Facilitate cross-functional alignment to ensure solutions serve multiple business units and avoid duplicative efforts. Evaluate and recommend AI/ML tools, platforms, and frameworks that align with enterprise objectives and security requirements. Develop and maintain a solutions roadmap that ties automation initiatives to measurable business outcomes such as efficiency gains and EBITDA impact. Stay current on emerging AI capabilities and assess their applicability to organizational challenges. Design scalable, secure architectures for AI and automation solutions across cloud and hybrid environments. Define technical standards, integration patterns, and data pipeline architectures that support repeatable, cross-functional solution delivery. Ensure all solutions align with enterprise security posture, regulatory obligations, and compliance frameworks including CMMC, NIST, and DFARS. Lead objective assessments of commercial platforms versus custom-built solutions, considering cost, scalability, security, and long-term maintainability. Develop business cases and technical recommendations for executive review. Manage vendor evaluation processes and proof-of-concept efforts where applicable. Oversee data infrastructure design, including pipelines, storage, and integration layers that support AI and automation workloads. Ensure data quality, governance, and accessibility standards are maintained across solutions. Partner with engineering teams to implement and optimize data flows that feed AI models and automation tools. Ensure all AI and automation solutions are designed with security-first principles, including secure data handling, access controls, and threat modeling. Evaluate the security posture of third-party AI platforms and tools prior to adoption, ensuring alignment with organizational security standards. Collaborate with cloud security and compliance teams to ensure solutions meet CMMC, NIST SP 800 series, DFARS, ITAR, and other applicable regulatory requirements. Define and enforce security guardrails for AI model deployment, data ingestion, and API integrations across all solution architectures. Support internal and external security assessments by providing architectural documentation and evidence of control implementation. Provide regular updates to executive leadership on solution progress, business impact, and roadmap status. Document solution designs, architectural decisions, and technical standards for organizational transparency and audit readiness. Champion a culture of AI adoption and operational efficiency across the organization.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Join Airbnb’s Relevance and Personalization team, where you’ll have a unique opportunity to shape the discovery experience for over 150M global users! As a Machine Learning Engineering Manager on the team, you’ll lead a group of ML engineers and set direction for projects that power search and recommendations across the entire Airbnb platform—directly influencing how guests and hosts connect in meaningful ways. Come lead the design and deployment of state-of-the-art ranking algorithms and build resilient, high-performing teams and systems that optimize Airbnb’s most important business goals. The Difference You Will Make: Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation. In this role, you’ll amplify impact through technical leadership—setting strategy, raising engineering quality, and ensuring the team delivers reliable results at scale. You’ll still stay close to the work—guiding architecture and critical technical decisions—while enabling engineers to do their best work. Collaboration lies at the heart of our culture. You’ll partner with talented engineers, data scientists, product managers, and designers from across Airbnb to develop holistic solutions that ensure a vibrant and equitable marketplace. You’ll also be accountable for team health: hiring, coaching, performance management, and building an inclusive culture. Together, we’re dedicated to advancing Airbnb’s mission to create a world where anyone can belong anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home A Typical Day: Work with large scale structured and unstructured data, provide technical leadership to build and continuously improve cutting edge Machine Learning (ML) models for Airbnb product, business and operational use cases. Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, set team priorities and roadmap, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact. Lead the delivery of ML/AI models and pipelines at scale, including both batch and real-time use cases, ensuring operational excellence (on-call health, reliability, cost, latency, and model quality). Leverage third-party and in-house ML/AI tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep, and drive adoption of best practices across the team. Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection. Hire, coach, and develop engineers; set clear expectations; conduct performance management; and build a strong, inclusive team culture. Your Expertise: 10+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields. 3+ years of engineering management experience, with 8+ years of relevant software development industry experience in a fast paced tech environment. Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills, with demonstrated ability to guide design reviews and architecture decisions for ML systems. Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection) with the ability to translate technical tradeoffs into product and business outcomes. Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive) Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML models, including leading multi-quarter initiatives and coordinating delivery across teams. Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models) and experience establishing engineering standards (reviews, testing, observability, incident response). Experience with test driven development, familiar with A/B testing, incremental delivery and deployment, and ability to create team processes that improve execution predictability and quality. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

At Infoblox, every breakthrough begins with a bold “what if.” What if your ideas could ignite global innovation? What if your curiosity could redefine the future? We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500 , and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career. Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: recognized as CybersecAsia’s Best in Critical Infrastructure 2024 — evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every “what if” into “what’s next”. In a world where you can be anything, Be Infoblox . Director, AI We have an opportunity for a Director, AI to join our AI Pillar within the CIO organization, based in Santa Clara, CA (HQ), Tacoma, WA or US-based remote, reporting to the Senior Director, IT. In this pivotal role, you will own and drive the enterprise AI agenda for Infoblox, translating AI ambition into execution and delivering measurable improvements in how the company operates every day. Working at the intersection of AI advancements, enterprise technology strategy, operating model design and change leadership, you will define our AI north star, select and govern enterprise AI platforms (such as Copilot, Glean and LLM vendors) and embed AI safely, responsibly and at scale into real workflows across Sales, Finance, Support, HR and other business functions. You’ll help shape the future of enterprise technology at Infoblox by joining a collaborative, execution-oriented team that values practical innovation, continuous learning and provable business impact over hype. Be a Contributor — What You’ll Do Lead the enterprise AI strategy and roadmap for Enterprise Business functions (AI for IT and AI for business), aligned with IT modernization, business transformation objectives and the executive vision Translate AI strategy into an executable portfolio of initiatives, connecting use cases to business outcomes and sequencing work for maximum impact. Define AI architecture and patterns, including where we use assistive AI, automation and agentic “digital employees,” ensuring solutions are scalable, secure, compliant and aligned with enterprise architecture standards. Evaluate, select and operationalize and iterate on AI platforms and tools such as Microsoft Copilot, Glean, custom agents and third-party LLMs, partnering with Infrastructure, Enterprise Apps, Data & Analytics and Security to integrate them into a cloud-first environment Design and guide deployment of AI-enabled solutions that improve functional business operations, IT development and operations, cybersecurity and service delivery across Sales, Finance, Support, HR and Business Operations Establish practical, lightweight AI governance in conjunction with Legal, Infosec, HR and other stakeholders, including decision rights, responsible AI guidelines, risk and ethics guardrails and clear boundaries between human accountability and AI execution. Create and refine intake, prioritization and operating rhythms for AI work, including a simple scoring on value and feasibility, regular demos of working AI and transparent scorecards for adoption and impact. Partner deeply across the company including Business Operations, Sales, Finance, Support, HR, Legal, Infosec, Data & Analytics, Infrastructure and Enterprise Apps to shape high-value use cases and land change in real workflows. Define and oversee the lifecycle for “digital employees” or agentic workflows, including design, deployment, monitoring, hand-off criteria and retirement. Measure and communicate business outcomes and ROI for AI initiatives, defining success metrics and regularly briefing the executive stakeholders on progress, lessons learned and next investments. Uplevel AI fluency across IT and the business by mentoring teams, contributing to enablement programs and helping leaders understand where AI is ready for production today and where it remains experimental. Be Prepared — What You Bring 10 plus years of progressive experience in enterprise technology roles in IT and/or consulting, leading AI, automation, data or architecture initiatives and delivering outcomes at scale. 5 plus years in strategic technology leadership roles such as enterprise IT transformation, data and ML or AI initiatives, influencing cross-functional roadmaps and operating models. Proven experience rolling out AI in internal business and IT contexts, including deploying GenAI and LLM platforms, enabling adoption and navigating vendor claims versus real capabilities. Strong enterprise architecture and integration skills with the ability to design reusable, scalable AI solution patterns that integrate with SaaS platforms such as Salesforce, Oracle and ServiceNow and custom applications across a multi-cloud environment. Ability to translate complex AI and ML concepts into clear business value, build credibility with senior stakeholders and manage competing priorities in a fast-moving environment. Experience with AI governance, security and model lifecycle management, including responsible AI practices, risk mitigation, monitoring and clear human ownership of AI-driven work, including vendor-hosted solutions. Deep cross-functional collaboration skills, comfortable operating across Infrastructure, Enterprise Apps, Data & Analytics, Security and Infosec, Legal, HR, Finance, Sales and Business Operations, and partnering with Engineering where appropriate. Executive presence and strong communication skills with the ability to brief E-staff, represent the AI agenda autonomously and engage confidently with both technical and non-technical audiences. Bias toward experimentation and learning with a demonstrated habit of staying current on GenAI, LLMs and agentic patterns, paired with the judgment to separate durable value from hype. Education: Bachelor’s degree in Computer Science, Engineering, Data or a related field or equivalent practical experience. Be Successful — Your Path First 90 Days: Quickly immerse yourself in Infoblox’s culture, AI Pillar charter and IT operating model, establish strong partnerships across IT and business leadership and gain a clear understanding of existing enterprise AI platforms and active use cases. Define and publish the enterprise AI north star and near-term roadmap, align on governance guardrails and rapidly iterate on current platforms while delivering visible AI improvements embedded in real workflows. Six Months: Enhance and optimize existing enterprise AI platforms with improved architecture, security, governance and usability, and deliver multiple high-impact AI capabilities across IT and business operations with measurable adoption and business value. Establish a consistent execution and reporting cadence while expanding advanced automation and agentic workflows across priority areas. One Year: Enterprise AI operates as a mature, scalable capability embedded across core IT and business systems, driving sustained improvements in efficiency, service quality and cost to serve. Standardized AI patterns and advanced workflows run at scale with clear ROI, positioning Infoblox for continued AI-driven operational transformation. Belong— Your Community Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here. Be Rewarded — Benefits That Help You Grow, Thrive, Belong Comprehensive health coverage, generous PTO, and flexible work options Learning opportunities, career-mobility programs, and leadership workshops Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations Charitable Giving Program supported by Company Match We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $200,000.00 - $250,000.00 plus bonus. Ready to Be the Difference? Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis #LI-EC1 #LI-Hybrid