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Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.

Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role You will play a pivotal role in driving the overall development and integration of our satellite bus for mission success. You will be primarily responsible for successful K2 missions, acting as a deputy program manager internally and with customers. You will work across engineering, production, and business development to deliver reliable flight systems on time. You will own bus-level design integration and champion technical readiness from concept through launch. In this role, you will collaborate with a highly skilled, cross-disciplinary team to develop innovative solutions for complex challenges, ensuring alignment with mission requirements and customer expectations. Our fast-paced, startup environment demands a proactive, adaptable leader who thrives in high-stakes scenarios, navigates ambiguity, and delivers results under aggressive timelines. If you are a self-starter with a passion for innovation in space systems, a drive to solve previously unsolved problems, and a commitment to delivering world class satellite solutions, we want you on our team. Responsibilities Program Leadership: Develop and manage engineering and program schedule, vehicle design, critical performance trades, resource allocation, and mission success Strategic Development: Define bus-level milestones, requirements, and long-term objectives in collaboration with stakeholders Program Execution: Drive engineering and flight readiness activities to meet mission and contract commitments Cross-Functional Integration: Work closely with engineering teams to assess vehicle readiness, manage technical changes, and mitigate risks Systems Development: Establish and improve engineering processes, reviews, and analysis frameworks to support K2 growth Design Reliability: Support internal design reviews and development ensuring adherence to requirements and high reliability Operate effectively in a rapidly evolving startup where agility, autonomy, and proactive problem-solving are essential Qualifications Bachelor's degree in electrical, aerospace, mechanical, computer, or other relevant engineering discipline 6+ years of experience in technical aerospace or manufacturing 3+ years of experience managing projects, technical trades, and/or technical teams Strong understanding of launch vehicles, spacecraft, or other aerospace systems Exceptional written and verbal communication skills Nice to Have Master's degree or PhD in an engineering or science discipline 10+ years of experience in technical aerospace or manufacturing 5+ years of experience managing projects or technical trades Active Top Secret or TS/SCI clearance Experience leading Spacecraft mission design, development, integration, test, and/or launch across multiple departments Proven ability to innovate in process improvement and system architectures Skilled in generating executive summaries to drive decision making through senior leadership discussions Familiarity with contracts and mission requirements evaluations Demonstrated track record of project ownership, responsibility for execution, and successful outcomes Ability to travel up to 25% of the time Compensation and Benefits Base salary range for this role is $175,000 - $200,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

The electrical power industry is among the most safety-conscious groups in the world. Powell's core philosophy, to be Powered by Safety , ensures our products are designed to reinforce this position by bringing safety-related features to our customers. Compared to our peers, we deliver the highest value to our customers by producing products and systems that function with the highest degree of safety while providing the ultimate in efficient operation and design. Join our team of experts! As a Mechanical Engineer (MEP), you will use your skills to act as a partner between Powell Project Managers and our customers on projects. You will design and create layouts and documentation within a BIM environment for electrical and mechanical building systems that meet project and technical specifications. You will use computer-aided design (Autodesk Revit) and other specialized software tools to coordinate & generate detailed layout plans, schematics, schedules and drawings for electrical and mechanical systems. You will maintain accurate and complete change and version control on all design files, documents, and drawings. You will incorporate best practices to address design space constraints and ensure compliance with industry standards, safety requirements, and building codes. You will collaborate with engineers and other project members, and you may conduct or participate in site visits to inspect installations or troubleshooting problems. Our engineers and designers are the technical experts for Powell projects. Essential Responsibilities • Achieve a detailed understanding of the project scope of work documents (drawings and specifications), phasing plans, MEP systems interrelationships, construction sequencing and project schedule. • Facilitate problem solving and coordination, as may arise, between MEP Subcontractors during construction. • Validate design issues related to MEP and suggest alternative solutions. • Incorporate all MEP changes and as-built information on field drawings. • Assist in the scope review, budgeting and justification of MEP change work order. • Creation, coordination and administration of MEP related materials, systems and shop drawings submittals. • Ensure that all MEP coordination activities adhere to relevant Quality documentation/record requirements. • Incorporation of Client markups & comments into relevant deliverables. • Download drawings and information from the Web, SharePoint, or project websites (FTP, ACC, etc.). • Must have solid working knowledge of the most current modeling applications software in use by Powell, including being able to create, manipulate, and coordinate Revit families, views, browser structure, sheets, schedules, filters, and similar Revit functions. • Order materials. • Interface with sales, customers and the shop. • Ability to take verbal and general written direction well and turn that direction into appropriate, working design documents. • Ability to type, proofread, spell check work without supervision. • Ability to receive and transmit documents on behalf of the design team, either via posting to website or the Internet or via hard copy. • Fluency for integrating data, such as spread sheets, photos, images, and word processing files into Revit projects & deliverables. Minimum Qualifications • BS Degree in Mechanical Engineering, Mechanical Technology or related area. • Minimum five (5) years' experience in a similar MEP coordination role within a BIM environment. • Fluency in the current version of Revit software. • Fluency in reading 2D plans, electronically or hard copy. • Fluency in Autodesk Navis Works, Autodesk Design Review and working knowledge of 3D layout and design. Preferred Qualifications • Basic understanding of power systems. • Advanced drafting/CAD skills. Skills, Abilities, and other requirements • Basic computer skills using Oracle, Word, Excel. • Ability to create Revit work sets and an understanding of Revit work sharing process via ACC or similar. • Ability to order materials electronically. • Document and archive work pursuant with Powell retention requirements. • Acknowledgement of any/all Powell confidentially and/or Non Disclosure requirements pursuant to this position. The protection of Proprietary or Intellectual company property. • Proficient in using a computer and Microsoft Office (Outlook, Word, Excel, etc.); Oracle preferred. • Ability to prioritize and manage multiple tasks, changing priorities as necessary. • Ability to work under time pressure and adapt to changing requirements with a positive attitude. • Effective oral and written communication skills as required for the position. • Ability to be self motivated, proactive and an effective team player. • Ability to interact effectively and professionally with all levels of employees, both management and staff alike, vendors, clients, and others. Working & Environmental Conditions The employee typically performs duties in a normal office environment. There will be some work in the shop environment and exposure to the elements of our shop. Additionally, there may be some work performed in the field with exposure to construction sites or active customer facilities. It is the policy of Powell Industries to promote safe working conditions for ALL employees, to make available where necessary special equipment to protect employees against specific hazards, to reduce accidents through prevention programs and to establish rules that are designed for the safety of all. It is the responsibility of each employee to adhere to this policy, as well as to observe all safety practices and exercise every precaution for the safety of accidents. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, feel, carry or operate objects, tools or controls and reach with hands and arms. The employee frequently is required to stand; talk or hear; walk; sit. Specific vision abilities required by this job include close vision and the ability to adjust focus. In our 75+ year history, Powell has always known that our employees are at the heart of our success. Without question, we have the most talented people in all parts of our organization. As a manufacturer, we recruit and hire experienced and knowledgeable applicants to ensure our product is engineered, fabricated, and assembled to customer specifications! Powell's culture has and will always be founded in our "can do" attitude. If we can imagine it, we can do it. Become a part of our story and let us help you write yours. Hard work pays off in all our teams, with opportunity for advancement and promotion without sacrificing work-life balance. Successful candidates must have a legal authorization to work in the United States on a full-time basis, with only those candidates selected for interview contacted. Powell offers comprehensive health insurance for you and your family, 401k savings, annual bonus potential, generous paid time off, professional development opportunities, company-sponsored wellness programs, and a collaborative work environment. EOE Protected Veterans/Disability If you need an accommodation in the hiring process, you may contact . Application status inquiries will not be accepted in this manner.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MA / NY / PA WHAT YOU'LL DO Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement, adapting the conversation to each audience instead of delivering the same presentation Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time, and the real cost of the current environment Support research workloads end to end, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive Help customers work through data management questions: lifecycle and retention, reproducibility, sponsor and funding agency data sharing expectations, research data governance, and security requirements such as NIST 800-171 and CMMC where they apply Partner closely with account managers, specialists, channel partners, and higher education purchasing consortia and contract vehicles Take ownership of evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity Author responses to RFIs, RFPs, and RFQs, which in this segment are frequent and detailed Stay current on the competitive landscape and make sure our positioning reflects it honestly Follow market and research computing trends closely enough to bring that thinking back into our organization Lead by example living the Pure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first WHAT YOU'LL BRING Required 8 or more years of relevant experience across technology, solution design, and customer-facing communication Pre-sales or customer-facing technical experience Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications. A career built entirely inside storage is not what we are looking for A track record of selling on value: uncovering what the customer is trying to accomplish and connecting technology to business, operational, and financial outcomes The ability to hold credible conversations with engineers, architects, executives, finance teams, and procurement, and to adjust the message for each Comfort with ambiguity, and the judgment to challenge assumptions and help customers think through complicated decisions Curiosity, empathy, an open mind, and a genuine appetite for continuous learning Excellent verbal and written communication skills BS in CS, EE, another technical degree, or equivalent experience Helpful, but not required Experience with higher education, research computing, academic medical centers, or the public sector Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, object) and file systems Linux, NFS, and distributed Linux environments VMware, Ethernet, TCP/IP, and general networking AWS, Azure, or GCP, and hybrid or cloud-native architectures Containers, Kubernetes, and microservices Data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles If you meet most of the required list and few of the second list, we would still like to hear from you. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $234,500 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MD / VA WHAT YOU'LL DO Develop a real understanding of what drives each institution: research priorities, funding cycles, capital versus operating constraints, and who actually makes the decision Connect technology, including the Everpure portfolio and the broader ecosystem, to measurable research and institutional outcomes Move fluently between principal investigators, research computing staff, central IT, CIOs, finance, and procurement, adapting the conversation to each audience instead of delivering the same presentation Build the business case alongside the technical one: total cost of ownership, power and cooling, data center footprint, staff time, and the real cost of the current environment Support research workloads end to end, from instrument and sequencer output through HPC and AI pipelines to long-term retention and archive Help customers work through data management questions: lifecycle and retention, reproducibility, sponsor and funding agency data sharing expectations, research data governance, and security requirements such as NIST 800-171 and CMMC where they apply Partner closely with account managers, specialists, channel partners, and higher education purchasing consortia and contract vehicles Take ownership of evaluations, benchmarks, proofs of concept, and system configurations, and secure the technical win Capture requirements and translate them into solutions that help institutions grow their research capability rather than just their capacity Author responses to RFIs, RFPs, and RFQs, which in this segment are frequent and detailed Stay current on the competitive landscape and make sure our positioning reflects it honestly Follow market and research computing trends closely enough to bring that thinking back into our organization Lead by example living the Pure Values: Persistence, Creativity, Teamwork, Ownership and Customer-first WHAT YOU'LL BRING Required 8 or more years of relevant experience across technology, solution design, and customer-facing communication Pre-sales or customer-facing technical experience Broad technical depth across two or more of: cloud, HPC, AI and machine learning infrastructure, data management, core infrastructure, analytics, or financial and business applications. A career built entirely inside storage is not what we are looking for A track record of selling on value: uncovering what the customer is trying to accomplish and connecting technology to business, operational, and financial outcomes The ability to hold credible conversations with engineers, architects, executives, finance teams, and procurement, and to adjust the message for each Comfort with ambiguity, and the judgment to challenge assumptions and help customers think through complicated decisions Curiosity, empathy, an open mind, and a genuine appetite for continuous learning Excellent verbal and written communication skills BS in CS, EE, another technical degree, or equivalent experience Helpful, but not required Experience with higher education, research computing, academic medical centers, or the public sector Familiarity with HPC and AI environments: parallel and distributed file systems, GPU-attached storage, schedulers such as Slurm, and data pipelines for genomics, imaging, or simulation Knowledge of current and emerging storage architectures (FC, iSCSI, NAS, SAN, object) and file systems Linux, NFS, and distributed Linux environments VMware, Ethernet, TCP/IP, and general networking AWS, Azure, or GCP, and hybrid or cloud-native architectures Containers, Kubernetes, and microservices Data-intensive applications such as structured databases (SQL, Oracle) and analytics platforms Experience with grant-funded procurement, consortium purchasing, or public sector contract vehicles If you meet most of the required list and few of the second list, we would still like to hear from you. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $141,400 - $212,100 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

AWS Secure Connection Services (SCS) is looking for an experienced Software Development Engineer to join our growing team that will be building solutions to complex problems that will scale for Amazon Dedicated Cloud (ADC). ADC's bring AWS cloud solutions to a broad range of customers, countries, or organizations. Successful candidates will be able to grasp complex scenarios and find ways to innovate on behalf of the customer to deliver innovative solutions. At Amazon Web Services, we like to "work backwards": start by understanding what customers need and using that to guide our software engineering. We're looking for a software engineer who is experienced in listening to customers, synthesizing their needs, and rapidly iterating our services to quickly put features into customers' hands. Our best ideas become even better when we get feedback from real customer use. The sooner we can get that feedback, the more quickly we can grow. This position requires that the candidate selected must be a US Citizen and obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities - Working with business teams to understand customer issues and to investigate, prototype and deliver new and innovative solutions - Developing solutions to complex problems through improvements to processes or automation - Manage and grow innovative, production-quality tools to solve real operational problems, in Python, Perl, Ruby, Shell, Java, etc. - Closely coordinating with engineers and product managers across the organization to ensure we are delivering the highest value solutions to meet our customer's needs A day in the life As an SDE, you will be responsible for designing, developing, testing, and deploying scalable solutions. You will collaborate closely with a team of developers to influence our overall strategy and define the team's roadmap. You will also help drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. In this role you will: - Challenge themselves and teammates: Personal and professional growth is a key component of every day life at Amazon. The right candidate will be willing to take on hard problems and drive innovative automated solutions. - Have excellent communication and documentation skills: Able to communicate design and concepts to both technical and non-technical audiences from interns to directors, through clearly documented coding, writing and verbally. - Have keenness to explore: We are not blatant path followers. The right candidate will be comfortable taking a contrarian view point when it makes sense for our customers. - Be a Proactive thinker: Thinking critically about long term growth and scaling to meet a global demand is key. The right candidate will be willing to thoughtfully consider all aspects of choices and outcomes. - Have patience and persistence: Global impact is an iterative process. The right candidate will have an ingrained improvement loop of setting goals based on customer feedback, designing solutions, executing, refining and continuously improving. About the team About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Why AWS? Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 4+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 143 400.00 USD annually

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models Analyze and optimize system-level performance across multiple generations of Neuron hardware Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks Implement optimizations such as fusion, sharding, tiling, and scheduling Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. Work directly with customers to enable and optimize their ML models on AWS accelerators Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of non-internship professional software development experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers . click apply for full job details

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access. 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. We are looking for a Senior Technical Program Manager (TPM) to lead the core network integration for the Leo direct-to-device (DTD) system. This is a high-impact role where your work will directly influence how quickly and reliably we deploy the DTD network and enable service to our customers. As a Senior Technical Program Manager for NTN Core Network Integration, you will own the end-to-end technical program strategy for DTD core networking for Leo DTD systems, from architecture and design through verification and deployment. Join us in shaping the future of satellite communications at Leo. Key job responsibilities As a Senior Technical Program Manager on our Leo DTD team, you'll lead technical program management of DTD core network integration across the Leo DTD constellation, ensuring our Leo NTN solutions perform flawlessly in real-world environments. Drive programs from early architecture and design through integration and qualification testing, ensuring these critical systems meet performance, reliability, and schedule requirements. You'll develop mechanisms and processes connecting Leo engineering and business teams, core network vendors and partners, network operators, and software vendors to build the Leo NTN solution. Serve as the central program leader across a diverse set of cross-functional teams-from business development, communication systems, networking software, to systems integration and test-to ensure network connectivity and performance are delivered for Leo NTN. Success requires deep technical judgment, strong program leadership, and the ability to align complex engineering organizations. Develop and maintain program plans that track major milestones across feature development, design reviews, integration activities, qualification testing, and end-to-end network readiness. You will proactively identify technical and programmatic risks, build mitigation strategies, and communicate clear status updates to engineering leaders and stakeholders to ensure alignment across the organization. Help transition from early development of DTD core network into a large-scale DTD solution supported by the Leo DTD constellation, device ecosystem, and core networks. You will collaborate with engineering teams as well as hardware and software vendors for networking, and test equipment vendors to scale the DTD network. BASIC QUALIFICATIONS - 5+ years of technical product or program management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Bachelor's degree in engineering, computer science or equivalent - Experience with wireless and mobile networks PREFERRED QUALIFICATIONS - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment - Experience leading large-scale verification, validation, and certification programs for wireless communications networks Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Redmond - 148 200.00 USD annually

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work-work that changes the world-is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking a high-caliber Business Development Manager to join our team, focused on managing and expanding our footprint within the Hyperscale and Cloud Service Provider (CSP) market. This is a high-impact customer-facing role that combines technical hardware knowledge with operational excellence to support some of the world's largest data center customers. The ideal candidate understands the unique cadence of the data storage industry-where hardware lifecycles, lead times, and capacity planning are critical to customer success. WHAT YOU'LL DO Hyperscale Account Management: Act as the primary operational partner for large-scale accounts. You will manage day-to-day requests, track deliverables, and ensure our products meet the rigorous deployment schedules of hyperscale clients. You will be responsible for complex opportunity management, tracking multi-year hardware forecasts, and building reporting that provide visibility into the hyperscale pipeline. Internal Cross-Functional Alignment: Coordinate between Supply Chain, Engineering, Product Management, Business Operations, and Finance to ensure technical specifications and delivery timelines align with customer requirements. You'll bridge the gap between "what was sold" and "what is being built." Partner Management: Coordinate with server ODM and rack integration partners to ensure customer success Strategic Business Development: Proactively identify and pursue new commercial opportunities while nurturing and growing existing client partnerships. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING Hardware Sales/Operations: Experience in the hardware or semiconductor sector is essential. Knowledge of NAND, SSD, HDD, or server architecture is highly preferred. Hyperscale Experience: An understanding of how "The Big Five" and other CSPs operate-including their procurement cycles and large-scale deployment hurdles-is a significant plus. Experience with server ODM / rack integrators is also a plus. Program Management & Operations: Experience working together with these functions is vital. You must be able to track long-tail projects with dependencies (e.g., NPI phases, product lifecycles). A background in Ops or Program Management is a plus. CRM Expertise: Advanced proficiency in Salesforce (SFDC). You should be comfortable managing complex data sets and understanding how sales data impacts manufacturing forecasts. Analytical Skills: Strong analytical skills are required to track and manage demand, supply, and other key business metrics, and to synthesize key information for internal and external stakeholders. Relationship Building: Ability to develop strong relationships across a diverse personas at varied seniority levels, including procurement, engineering, quality, operations, and product management. Strong Communication: Effective written and verbal communication, and ability to manage complex meetings Education: Bachelor's Degree in Business, Finance, Economics, Computer Science, Electrical Engineering, or a quantitative discipline. Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations. This role may be eligible for incentive pay and/or equity. There is no application deadline and we accept applications on an ongoing basis until the job is filled. The annual base salary range is: $153,000 - $230,000 USD WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology , Fortune's Best Workplaces in the Bay Area , and certified as a Great Place to Work ! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out for more information. ACCOMMODATIONS AND ACCESSIBILITY: Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at if you're invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We're forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn't just accepted but embraced. That's why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. Join us and bring your best. Bring your bold. Pure and simple.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. AWS Enterprise Support provides our customers with one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers; Enterprise support provides a designated technical account manager to the customer and provides entitlements such as architecture review, operations support to design, build, and operate cloud environments leveraging AWS best practices; and a designated Support Concierge for administrative and billing inquiries. Enterprise customers rely on Support when running their business critical workloads on the AWS platform, and our technical account managers and cloud support engineers are the primary daily touch-point for those customers. Customers include very large Enterprises, Public Sector companies, as well as fast growing businesses and Internet companies. Unlike most support organizations, AWS Support is a self-standing business with revenue and P&L responsibility and one of the fastest growing businesses within AWS. As Premium Support BDM, you will be part of the Enterprise Support organization. You will support the Premium Support strategy and own driving the go-to-market (GTM) efforts for Support, with the objective to increase adoption for paid support offerings amongst AWS customers while maintaining target margin performance, and using Support to accelerate AWS platform adoption for the customers. You will engage our customers to understand why they need Premium Support solutions (or why not; e.g. Enterprise Support or Unified Operations), what are the pain points and obstacles in their current support offering. You will identify areas for sharpening our Support proposition (e.g. a differentiated offering, value and return on investment vs price) and design and execute controlled experiments driving commercial innovation. You will quantify the impact of Support in driving AWS platform adoption, estimate the ROI, and design and execute initiatives to help accelerate our customer cloud adoption journey. You will enable the sales team to drive the day-to-day interactions with prospects, selling the Support value proposition, in order to build long-term business opportunity. You will engage partners to develop and pilot new Support offerings via the partner ecosystem. The ideal candidate will possess a keen business sense and exceptional analytical skills, is able to articulate and communicate a clear value proposition across customers, partners, and within the AWS organization, and is comfortable working across internal functions and geographies. The candidate will be naturally curious, going beyond the obvious to discover unexpected insights and translate those into tangible business value. Key job responsibilities • Engage customers, partners, and field teams to deeply understand and measure customer value and pain points in adoption of Enterprise Support Services (Enterprise Support, Unified Operations, Migration Services, plus other new products launched throughout the year) • Analyze drivers of Enterprise Support Services adoption and identify levers for improvement • Identify, design and execute controlled experiments in driving Enterprise Support Services adoption • Review and analyze Enterprise Support Services pricing and costing, ensuring savings are passed on to our customers • Quantify impact of Enterprise Support Services adoption on AWS Platform adoption, estimate the ROI of Support investments in accelerating AWS platform adoption • Develop and refine sales collateral, reference cases and value proofs for customers and partners • Drive commercial innovation in Support, e.g. differentiated support offerings per customer segment. In conjunction with Field Enablement, create Support related training programs and material for the field team so that they can properly articulate the Support value proposition • Work with stakeholders across Commercial/Public Sales, Premium Support, and Enterprise • Prepare and present business reviews to the senior Sales and BD management team • Drive Enterprise Support Services deals end to end with Sales About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of developing, negotiating and executing business agreements experience - Bachelor's degree - Knowledge of publisher ad tech stacks and/or advertising technology - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience selling enterprise software or cloud-based applications PREFERRED QUALIFICATIONS - Experience interpreting data and making business recommendations - Experience identifying, negotiating, and executing complex legal agreements Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Francisco - 162 200.00 USD annually USA, NY, New York - 162 200.00 USD annually

AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets-all without sharing or copying one another's underlying data. AWS Clean Rooms' provides a broad set of data controls that help protect sensitive data, including query controls, query output restrictions, query logging, cryptographic computing tools, and built-in differential privacy techniques. This secure foundation enables businesses to unlock deeper customer understanding, enhance segmentation accuracy, and measure cross-channel campaign effectiveness. Key job responsibilities - Recruit and develop top talent to achieve the team's objectives. - Establish and steer the team's long-term vision. - Manage resource allocation to meet both business objectives and career development targets. - Participate in strategic planning to achieve technical and business goals. - Collaborate closely with engineers to design and implement optimal technical designs and strategies. - Ensure project timelines are met, prioritizing tasks and managing team workload effectively. - Foster a culture of innovation and continuous improvement within the team. - Maintain close collaboration with cross-functional teams to align software development with overall company goals. - Monitor and ensure adherence to quality standards and best practices in software development. - Provide regular performance feedback and career development guidance to team members. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually

AWS Clean Rooms helps companies and their partners more easily and securely analyze and collaborate on their collective datasets-all without sharing or copying one another's underlying data. AWS Clean Rooms' provides a broad set of data controls that help protect sensitive data, including query controls, query output restrictions, query logging, cryptographic computing tools, and built-in differential privacy techniques. This secure foundation enables businesses to unlock deeper customer understanding, enhance segmentation accuracy, and measure cross-channel campaign effectiveness. Key job responsibilities - Recruit and develop top talent to achieve the team's objectives. - Establish and steer the team's long-term vision. - Manage resource allocation to meet both business objectives and career development targets. - Participate in strategic planning to achieve technical and business goals. - Collaborate closely with engineers to design and implement optimal technical designs and strategies. - Ensure project timelines are met, prioritizing tasks and managing team workload effectively. - Foster a culture of innovation and continuous improvement within the team. - Maintain close collaboration with cross-functional teams to align software development with overall company goals. - Monitor and ensure adherence to quality standards and best practices in software development. - Provide regular performance feedback and career development guidance to team members. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of working directly within engineering teams experience - 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience - 8+ years of leading the definition and development of multi tier web services experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually

AWS Secure Connection Services (SCS) is looking for an experienced Software Development Engineer to join our growing team that will be building solutions to complex problems that will scale for Amazon Dedicated Cloud (ADC). ADC's bring AWS cloud solutions to a broad range of customers, countries, or organizations. Successful candidates will be able to grasp complex scenarios and find ways to innovate on behalf of the customer to deliver innovative solutions. At Amazon Web Services, we like to "work backwards": start by understanding what customers need and using that to guide our software engineering. We're looking for a software engineer who is experienced in listening to customers, synthesizing their needs, and rapidly iterating our services to quickly put features into customers' hands. Our best ideas become even better when we get feedback from real customer use. The sooner we can get that feedback, the more quickly we can grow. This position requires that the candidate selected must be a US Citizen and obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities - Working with business teams to understand customer issues and to investigate, prototype and deliver new and innovative solutions - Developing solutions to complex problems through improvements to processes or automation - Manage and grow innovative, production-quality tools to solve real operational problems, in Python, Perl, Ruby, Shell, Java, etc. - Closely coordinating with engineers and product managers across the organization to ensure we are delivering the highest value solutions to meet our customer's needs A day in the life As an SDE, you will be responsible for designing, developing, testing, and deploying scalable solutions. You will collaborate closely with a team of developers to influence our overall strategy and define the team's roadmap. You will also help drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. In this role you will: - Challenge themselves and teammates: Personal and professional growth is a key component of every day life at Amazon. The right candidate will be willing to take on hard problems and drive innovative automated solutions. - Have excellent communication and documentation skills: Able to communicate design and concepts to both technical and non-technical audiences from interns to directors, through clearly documented coding, writing and verbally. - Have keenness to explore: We are not blatant path followers. The right candidate will be comfortable taking a contrarian view point when it makes sense for our customers. - Be a Proactive thinker: Thinking critically about long term growth and scaling to meet a global demand is key. The right candidate will be willing to thoughtfully consider all aspects of choices and outcomes. - Have patience and persistence: Global impact is an iterative process. The right candidate will have an ingrained improvement loop of setting goals based on customer feedback, designing solutions, executing, refining and continuously improving. About the team About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Why AWS? Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 4+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 143 400.00 USD annually

Job Description Job Description Senior Physical Electronic Security Technician - Data Centers Location: Texas Department: Physical Security / Critical Infrastructure Employment Type: Full-Time Position Summary We are seeking an experienced Senior Physical Electronic Security Technician with extensive expertise in enterprise electronic security systems, specifically the LenelS2 OnGuard platform, to install and commision critical security infrastructure within new construction data center environments. The ideal candidate will possess deep technical knowledge of integrated access control, IP video surveillance, intrusion detection, intercom systems, and security networking. This individual will lead installation, commissioning, troubleshooting, preventative maintenance, and lifecycle upgrades while ensuring the highest standards of security, reliability, and compliance expected within hyperscale and enterprise data centers. This role requires a technician who can work independently, lead field activities, mentor junior technicians, and interact professionally with customers, vendors, project managers, and security operations teams. Key Responsibilities Electronic Security Systems Install, commission, troubleshoot, and maintain enterprise electronic security systems. Perform basic programming, configuration, and diagnostics of Lenel OnGuard access control systems. Configure and maintain: Intelligent Controllers Access panels Card readers Electric locking hardware Request-to-exit devices Door position switches Elevator control integrations Maintain enterprise IP video surveillance platforms and associated hardware. Configure camera networks, recording servers, storage systems, and video analytics. Diagnose hardware, firmware, software, and communication failures. Data Center Security Infrastructure Support physical security systems protecting mission-critical data center facilities. Maintain strict compliance with customer security standards and change management processes. Work within highly controlled production environments with zero-tolerance for unnecessary downtime. Perform maintenance activities while minimizing operational impact. Understand redundancy requirements for: Controllers Network infrastructure Power systems Security servers Support security upgrades during maintenance windows. Systems Integration Integrate security platforms with: Video Management Systems (VMS) Intrusion Detection Systems (IDS) Visitor Management Systems Building Management Systems (BMS) Fire Alarm Interfaces Configure TCP/IP communications between enterprise security devices. Troubleshoot network communication issues involving switches, VLANs, PoE, and fiber infrastructure. Installation & Commissioning Lead field installation activities for new security deployments. Read and interpret: Construction drawings Security risers Wiring diagrams Floor plans Sequence of operations Install and terminate: Cat6 Fiber optic cabling Composite security cable RS-485 communications Low-voltage power circuits Perform commissioning, acceptance testing, and system turnover. Maintenance & Service Perform preventative maintenance inspections. Respond to emergency service calls. Diagnose complex system failures. Replace defective hardware. Perform firmware and software upgrades. Document repairs and maintain accurate service records. Leadership Mentor junior technicians. Lead small installation and service teams. Coordinate with project managers and security operations personnel. Provide technical guidance during complex troubleshooting activities. Ensure installations meet company quality standards and applicable codes. Required Qualifications 5+ years of experience installing and servicing enterprise electronic security systems. 3+ years of experience with Lenel OnGuard . Extensive experience supporting security systems in mission-critical data center environments. Strong understanding of: Access Control IP Video Surveillance Intrusion Detection Security Networking Low Voltage Systems Experience with enterprise security server architecture. Strong knowledge of: TCP/IP networking VLANs PoE Fiber optics Windows Server environments SQL fundamentals Ability to independently diagnose complex hardware and software issues. Experience working under formal change control procedures. Ability to read electrical and low-voltage construction drawings. Excellent customer communication and documentation skills. Preferred Qualifications Current LenelS2 OnGuard Certification (Associate, Professional, or Expert) Experience with: Genetec Security Center Milestone XProtect Avigilon Control Center Honeywell Pro-Watch Software House C•CURE 9000 Experience with intelligent locking hardware from manufacturers such as: ASSA ABLOY Allegion Knowledge of data center operational standards. OSHA 10 or OSHA 30 certification. Manufacturer certifications for enterprise access control or VMS platforms. Experience working in hyperscale cloud data centers. Technical Skills Enterprise Access Control Lenel OnGuard Administration Intelligent Controllers IP Camera Systems Video Management Systems Fiber Optic Installation Low Voltage Cabling Door Hardware Integration Network Troubleshooting TCP/IP SQL Databases Windows Server Power Supplies UPS Systems Security Networking System Commissioning Preventative Maintenance Root Cause Analysis Physical Requirements Lift up to 50 pounds. Work from ladders and lifts. Travel between customer sites as required. Work in active construction and mission-critical operational environments. Ability to participate in after-hours maintenance windows and on-call rotations. What Success Looks Like The successful candidate consistently delivers reliable, high-quality electronic security solutions with minimal disruption to critical operations. They serve as the technical expert for Lenel OnGuard systems, proactively resolve complex issues, ensure compliance with data center security standards, and provide leadership that enhances team performance and customer confidence. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work. Company Description At Justified Technology, we believe our people are our greatest strength. We foster a collaborative, supportive culture where every team member is valued, respected, and empowered to succeed. From leadership to the field, we encourage open communication, continuous learning, and teamwork, ensuring employees have the resources and support they need to grow professionally. We are committed to creating an inclusive workplace built on equality, where diverse perspectives are welcomed, opportunities are earned through merit, and everyone is treated with fairness and respect. Our culture is centered on integrity, accountability, and helping one another succeed-making Justified Technology a place where careers thrive and people enjoy coming to work.

Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer? GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PId3db67961ac9-6984

AI Engineer 4 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).