222 jobs found

National Radio Astronomy Observatory Title: Systems Engineer Location: NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 261 Job Family: Systems Engineer Pay Type: Salary Required Education: PPM Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. The North American ALMA Support Center, located at the NRAO headquarters in Charlottesville, VA, is working with ALMA partners to upgrade the ALMA Radio Telescope located in the Chilean Andes Mountains. Already the most capable millimeter-wave telescope ever built, ALMA is currently initiating a system-wide upgrade that will substantially increase its capabilities. We are seeking an experienced Systems Engineer for the NA ALMA program's responsibilities. You will have the opportunity to combine your extensive systems engineering expertise with your passion to contribute to the future of millimeter wave astronomy. This is a 3-year term position with a potential extension. The location for this position will be at the NRAO HQ in Charlottesville, VA. International travel will be required 10%. What You Will be Doing: Oversee and participate in the implementation of systems engineering processes across the life cycle of multiple projects across the ALMA Wideband Sensitivity Upgrade (WSU) program Review and communicate system architecture, system requirements, subsystem designs, and other technical documents Develop and collaborate on integration, verification, and validation plans, interface control documents, and similar documents Prepare and execute system reviews and assisting in managing subsystem design reviews, serve as member of project controls team Guide the systems engineering management processes, including configuration management, baselining, change management and document management processes and facilitate these processes across projects with our international partners Participate in system integration and testing activities Work Environment Work is typically performed in an office or laboratory environment. Occasional domestic and international travel will be required. Position Requirements: You have a bachelor's degree in engineering or related field At least 10 years working as a systems engineer in integrated projects , preferably in scientific R&D environments Demonstrated experience with core systems engineering principles, including requirements capture, verification and validation plans, full project lifecycle planning, and scheduling and running effective meetings with geographically dispersed teams Experience working across life cycle phases from design to operations Experience working with international teams Experience in an application domain for the establishment of high-tech, large-scale infrastructure that is related to radio astronomy, such as radar, communication systems or optical telescopes is preferred Exposure to the following technology domains: electromagnetic, RF, digital signal processing, mechanical, software engineering and civil engineering Excellent verbal and written communication Proactive and independent work ethic Enthusiasm to work in a team with subject matter experts, engineers, and scientists across domains and projects Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $ 114,019 -$ 138,024. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply Now" button. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position. Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 24 Yearly Salary PI504d3ce5-

National Radio Astronomy Observatory Title: Microassembly Technician - Technical Specialist Location: NRAO Central Development Lab, 1180 Boxwood Estate Rd, CHARLOTTESVILLE, Virginia, United States of America Requisition Number: 228 Job Family: Technical Specialist Pay Type: Hourly Required Education: NET Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting a full-time, microassembly technician to join the Integrated Receiver Development (IRD) group at the Central Development Laboratory (CDL) in Charlottesville, VA. The IRD group is involved in the design and development of low-noise receivers, components, and novel concepts for radio astronomy instrumentation in the centimeter-wave, millimeter-wave, and submillimeter-wave frequency ranges, and is currently designing integrated receiver modules for the next generation Very Large Array (ngVLA). This position requires experience working under a microscope, handling and mounting bare semiconductor die, wire-bonding, soldering, and surface-mount circuit-board assembly. The position will also require probing custom chips and substrates using a wafer probe station, operating and maintaining a cryogenic refrigeration and measurement system, and testing microwave components using vector network analyzers, spectrum analyzers, oscilloscopes, and power meters. The location for this position will be based at the Central Development Laboratory located in Charlottesville, Virginia. What You Will be Doing: Assemble multichip integrated receiver modules: Obtain quotes and order parts for integrated receiver modules from an engineer-provided design. This may include compiling a Bill-of-Materials (BOM) and exporting manufacturing files (e.g. Gerber, DXF, GDS) from given design models and layouts. Organize and maintain stock of commonly used components as well as project-specific custom parts. Interface with the in-house machine shop and chemistry lab for the fabrication of custom housings, brackets, and chassis. Populate circuit boards with surface-mount components as small as 0402 in size. Construct multichip modules from engineering design drawings, including picking chips from diced wafers with tweezers, attaching bare die using silver epoxy, wire-bonding, and micro-soldering, as-needed. Test multichip integrated receiver modules: Use a wafer probe station to characterize custom chips and substrates. Use commercial VNAs, signal generators, spectrum analyzers, power meters, and other microwave test equipment characterize components, both on-wafer and in-package, both at room temperature and in a cryogenic environment. Construct custom test cable harnesses, fixtures, and mounting brackets as-needed. Record and analyze test Maintain detailed records of test results, assembly procedures, and performance characteristics. Document measurement conditions, test setups, and any observed anomalies. Monitor, track, and maintain laboratory inventory: Monitor inventory levels of critical lab supplies, including electronic components, adhesives, wire bonding materials, and test equipment accessories. Collaborate with engineers to refine assembly and testing procedures: Collaborate with engineers, scientists, and other technical personnel to refine assembly and test procedures. Provide feedback to engineers to improve custom designs, especially as it concerns manufacturability and measurement procedures. Work Environment Work is mission driven, team oriented and typically performed in a laboratory within a research and development environment. Who You Are: Education You have an associate's degree or an equivalent combination of education and experience. While not required, a bachelor's degree in a related field is preferred. Experience You have 10 years of experience in electrical/electronic technology, or a closely related field. While not required, you may have: Professional experience fabricating radio frequency or microwave components or systems. Experience with common RF and microwave measurement equipment. Experience assembling microwave or millimeter-wave components. Skills and Competencies Must be a methodical, motivated team player comfortable in an R&D environment. Must be able to sit or stand at a bench for sustained periods. High level of competency in Microsoft software products to manage and graph measurement results as well as other web-based systems. Attention to detail is critical Highly organized Excellent communication skills to keep records and documentation Physical Requirements The candidate must be able to sit or stand at a bench for sustained periods. Visual acuity and manual dexterity are required, and this position requires lifting and carrying 50 pounds. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary/hourly rate of this position is between $33.66-$43.62 per hour. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 33.66-43.62 Hourly Wage PI3d4495e5-

The Senior Field Support Engineer (FSE)/Depot Services Manager provides technical support to customers of MaxCyte instruments and supports the day-to-day operations of MaxCyte's Depot Services. The FSE/Depot Service Manager will work closely with Field Applications Scientists, Business Development Managers, Quality, Technical Support and Engineering teams to ensure an unrivalled customer experience. While this individual will spend time in the field, the position is located at MaxCyte's headquarters to best support our in-house repair operations. Works under general direction. Job Responsibilities: Field Service Provides technical support for MaxCyte product lines and services by responding to customer technical inquiries; inquiries may be received via telephone, email, and/or web chat, or routed through our Technical Support (TAS) team Conducts installations and training at customer sites Performs instrument calibrations, upgrades, and repairs Troubleshoots and documents customer issues with recommended solutions Accurately records pertinent information from customer interactions and follows up to ensure the highest level of customer satisfaction Coordinates maintenance tasks throughout the region involving FSEs, FAS, and Business Development Managers Provides guidance to other FSEs and FAS, and identifies and executes process improvements to field support activities. Makes recommendations to the internal teams for future software and hardware design improvements Conducts software usability testing Presents technical updates to colleagues and participates in team meetings Packs and ships instruments for return to MaxCyte's headquarters for service or upgrades from customer sites Works collaboratively across the business to build partnerships with colleagues Complies with all aspects of MaxCyte's Quality System by following standard operating procedures and submitting required documentation Complies with all applicable policies regarding health, safety, and the environment Depot Service Support Support the development and day-to-day operation of MaxCyte's Depot Service model. Help implement and manage intake/triage procedures, RMA workflows, repair tracking, release documentation, and customer communications. Track key depot KPIs such as turnaround time, backlog, repeat repair rate, and repair quality. Partner with Operations and Supply Chain to support logistics, spare parts planning, replenishment, and service readiness. Escalation Support & Technical Execution Support complex service issues and escalations in partnership with FSEs, Engineering, Product Development, and Quality. Help ensure customer issues receive timely follow-up, clear communication, and proper closure. Identify recurring issues and assist in driving corrective actions, process improvements, and documentation updates. Train TAS on instrument processes as needed to be able for them to support frontline customer support Cross-Functional Collaboration & Service Readiness Work closely with Service, Engineering, Product Development, Field Applications, Sales, Quality, IT, Operations, and Supply Chain to support strong service execution. Help maintain clear escalation paths, handoffs, and communication channels across teams. Support Voice of Customer feedback loops by capturing field and customer insights and sharing them with internal stakeholders. Partner with Product Development and other functions to support service readiness for new product launches, including training, documentation, and support model preparation. BS in biomedical engineering or related field, and at least 8+ years of experience in service operations, technical support, field service, or customer-facing operations in life sciences tools, diagnostics, capital equipment, or a similar environment. Demonstrated troubleshooting skills Basic understanding of Local Area Networks (LAN) and how they are configured Strong written, verbal, and interpersonal skills; ability to communicate effectively with customers and internal teams Able to work cross-functionally and build strong working relationships across technical and commercial teams. Proactive; works under minimal supervision Hands on experience with multimeters, wrenches, screwdrivers, torque wrenches, scales, drills, cutting tools, etc. Must be able to lift 35 pounds Ability to travel 50% (domestic and international) MaxCyte also offers a competitive base salary, comprehensive benefits package including health, dental, vision, life, and disability insurance and generous time off. MaxCyte is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status. PI903310e4f5-

National Radio Astronomy Observatory Title: Software Engineer Group Lead, Online Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 155 Observatory Rd, Green Bank, WV 24944, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA Requisition Number: 251 Job Family: Software Engineer Pay Type: Salary Required Education: ENG J Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting a full-time Software Engineering manager, who will directly supervise software staff. The Online Group Lead supervises a team of software engineers, while providing planning and technical leadership for software products and shared software infrastructure that support online operating systems for the VLA, VLBA, and GBT notably data acquisition, dynamic telescope scheduling, and observation preparation. The data acquisition process includes preparing the antenna arrays for scientific observations and dynamically selecting and executing the most suitable scheduling blocks based on the current array configuration and weather conditions. Observation Preparation Tools support calls for proposals for use of the NRAO telescopes. The Online software group will develop and maintain software capabilities and infrastructure components that can be applied across multiple NRAO systems and new projects. The Software Engineering Group Lead will supervise software engineering staff and guide short- and long-term planning, coordinate development activities, and help establish engineering practices that improve interoperability, reliability, maintainability, and operational effectiveness. The role includes leading work related to shared software models, system integration, and other software infrastructure needed to support more uniform scientific computing environments. This position requires close collaboration with scientists, software engineers, systems engineers, operations staff, and project stakeholders to ensure that common software infrastructure is aligned with current operational needs and future observatory capabilities. The group will help identify opportunities to standardize reusable components, reduce duplication, improve system consistency, and support the evolution of NRAO software systems over time. This position can be based at any of our NRAO locations, including Albuquerque, NM, Socorro, NM, Charlottesville, VA, or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing As the Online Software Engineer Group Lead, you will be responsible for the overall personnel and technical management of software teams responsible for 1) data acquisition software systems, 2) dynamic telescope scheduling systems, 3) observation preparation tools, and 4) software system integration. You will also be responsible for regular reporting on management status and compliance with deadlines to senior management at NRAO and other participating organizations, and you may be asked to present that status to other stakeholders or advisory bodies in formal or informal reviews. Personnel management involves building and maintaining a culture of trust, mutual collaboration, accountability, and excellence within the Online Software group and with its stakeholders. This includes: Seeking to increase the technical diversity and expertise of the group through robust recruiting and onboarding practices. Professional development for existing staff and succession planning. Ensuring a professional working environment and efficient work processes are maintained through direct line management of staff. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. With guidance from the Observatory Human Resource Department, coordinating and advising on personnel matters, ensuring compliance with applicable policies such as affirmative action. Advising staff on planning, technical, and operational matters, instructs and orienting new employees as necessary. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Programmatic management involves oversight of all aspects of the lifecycle of software for which the group is responsible, including: Gathering of requirements, planning development, assigning tasks, tracking progress, coordinating integration, testing, acceptance, and release while fulfilling high standards of quality. Managing stakeholder relationships, establishing priorities based on stakeholder needs, and maintaining effective communications. Ensuring the delivery of high-quality software products by the team that meets stakeholder expectations and schedules. Technical management involves interacting directly with all group members: Developing the software infrastructure. Guiding the integration of software components. Maintaining a consistent view and quality of implementation across all of the software. Approving technical direction within the team. Interacting with a team of expert developers and improving on present practices whenever and wherever appropriate. Work Environment Work is typically performed in a research and development office environment. Occasional travel (domestic and international) may be required. Who You Are: Education A Bachelor's degree in computer science, physics, astronomy, or related field. Advanced degree preferred. Experience You must have at least three or more years of experience directly supervising a software team of three or more people. Additionally, you have at least seven years of experience in software development. Equivalent relevant experience may be considered. Preferred Experience Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Skills and Competencies As a Software Engineer Group Lead, you are expected to have demonstrated experience leading software development groups, preferably within the domain of astronomy. To be successful, you shall also have experience leading a distributed team of developers and be familiar with management, planning, and reporting aspects. You should be prepared to deal with already ongoing activities, while also having the ability to formulate a long-term direction. You should have experience balancing the maintenance, improvement, and enhancement of operational software. Planning skills and appropriate management of a team of expert developers and scientists are essential. Competency and experience dealing with the development process from requirements gathering, to development, testing and the formalism needed Strong interpersonal and group communications skills, oral and written. Familiarity with a wide variety of technologies, such as Java, C, C++, Python, testing frameworks, threading, parallelization. Ability to translate science requirements into software requirements. Understanding of software architecture and the implications it has for development. Must possess strong leadership and delegation capabilities. Ability to maintain and develop productive collaborations across organizations, anticipate and mitigate political and technical issues. Ability to establish firm, professional, and respectful interactions with staff and stakeholders. Demonstrated strong initiative in refining and clarifying requirements, defining and implementing QA processes, plan definition and monitoring, defining technical direction, and facilitating alignment. Ability to learn new areas and apply learning. Strong troubleshooting and problem-solving abilities. Familiarity with project management concepts and techniques. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $123,000 and $153,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities . click apply for full job details

Senior AI Engineer Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer 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).

Senior AI Engineer Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer 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).

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational 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 - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection 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, MA, Boston - 168 400.00 USD annually

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational 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 - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Senior Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) Overview: 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. In this role, you will: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Mgr, AI Engineering McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering 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).

Senior AI Engineer (AI Foundations) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer 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).

GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics

Lead AI Engineer (IFX) Overview 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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, or Java Preferred Qualifications: 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, 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 Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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 Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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).

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational 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 - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational 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 - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection 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, MA, Boston - 168 400.00 USD annually

Amazon Robotics (AR) is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfilment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, high-degree-of-freedom movement, and state-of-the-art AI. We collaborate with teams across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) organization enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology & Development team is a cross-functional organization of Software Development Engineers, Technical Program Managers, Program Managers, and Business Intelligence Engineers responsible for GO-AI's technical strategy, platform capabilities, and delivery. As a Senior Technical Program Manager on GO-AI's Technology & Development team, you will partner with product, science, software engineering, data engineering, operations, and other Amazon Robotics teams to accelerate the evaluation, deployment, and scaling of AI solutions across Amazon Robotics. You will own complex, cross-functional programs spanning solution definition, experimentation, operational readiness, deployment, and continuous improvement. Success in this role requires balancing technical depth with strong program ownership. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Partner with other Amazon teams to understand AI automation-based use cases, evaluate partnership opportunities, and define GO-AI's technical and operational plans to support them. • Build trusted partnerships with business and technical teams, serving as the primary GO-AI partner throughout the program lifecycle. • Design and lead human-in-the-loop solutions and AI workflows that bridge science, engineering, and operations. • Partner with GO-AI Software, Science, Data, and Business Intelligence Engineering teams to identify capability gaps, prioritize features, and influence long-term platform roadmaps. • Define success metrics, monitor program health, and use data to drive decisions, identify risks, and evaluate trade-offs. • Drive senior leadership reviews through clear written and verbal communication of program strategy, risks, trade-offs, and recommendations. • Drive process simplification by eliminating inefficiencies and building scalable mechanisms. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. BASIC QUALIFICATIONS- 6+ years of technical product or program management experience - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Bachelor's degree in engineering, computer science or equivalent - Experience defining technical requirements and partnering with engineering teams to deliver scalable technical solutions. - Demonstrated ability to drive clarity and define program structure in ambiguous domains. - Excellent verbal and written communication skills. PREFERRED QUALIFICATIONS- Experience with computer vision, human-in-the-loop systems, or model evaluation and deployment. - Experience influencing product or platform roadmaps across multiple engineering teams. - Track record of coaching and mentoring other Technical Program Managers. - Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows. - Experience working with applied science teams and foundation model technologies. 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, MA, Boston - 148 200.00 USD annually USA, MA, North Reading - 148 200.00 USD annually USA, MA, Westboro - 148 200.00 USD annually

We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize the latest models to run really fast on the Trainium hardware. As a Sr. Software Development Engineer on the Inference Model Enablement team, you will onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. Key job responsibilities Deliver high-performance models using distributed inference libraries Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem Mentor team members and provide technical leadership across multiple work streams Drive architectural decisions that impact the entire Neuron serving stack Collaborate with customers, product owners, and engineering teams to define technical strategy Author technical documentation, design proposals, and architectural guidelines A day in the life You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve: Leading design reviews and architectural discussions Debugging complex performance issues across the stack in collaboration with the compiler and runtime teams Mentoring junior engineers on system design and model optimization across model enablement teams Driving technical decisions that shape the future of Neuron's inference stack About the team The inference model enablement team releases its models in the vLLM Neuron plugin: BASIC QUALIFICATIONS - 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - 5+ years of non-internship professional software development experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually

US Telecommuter Telecommuter AR Telecommuter ID Telecommuter HI Telecommuter NE Telecommuter CA Telecommuter MN Telecommuter MO Telecommuter TX Telecommuter NV Telecommuter KY Telecommuter NM Telecommuter OK Telecommuter SD Telecommuter IL Telecommuter UT Telecommuter KS Telecommuter TN Telecommuter IA Telecommuter CO Telecommuter MI Telecommuter WA Telecommuter OR Telecommuter MT Telecommuter AZ Telecommuter WY Full time R77526 The 'Apply with SEEK option' will be utilized for International applicants, mainly Australia. If this does not apply to you please use the 'Apply' option. IF YOU CARE, THERE'S A PLACE FOR YOU HERE EFI Global is a full-service engineering, fire investigation, environmental, health and safety, and specialty consulting services firm serving a variety of industries in both the public and private sectors. Over the last four decades, we have grown from a boutique firm specializing in handling insurance fraud and arson cases and providing expert witness testimony, into a recognized global leader in engineering failure analysis, origin-and-cause investigations, environmental consulting, laboratory testing and specialty consulting. Our forensic investigation, engineering and environmental services teams around the world share a dedication to expertise, quality and demonstrating to customers that caring counts . Each of our more than 700 professional engineers, fire investigators, architects and scientists was selected for their technical proficiency, in-depth industry knowledge and commitment to professional integrity. Together, our diverse backgrounds and collective insights empower clients to make better-informed business decisions. EFI's combination of global solutions and local expertise has earned the firm a reputation for delivering timely responses that consistently meet our clients' expectations-anytime, anywhere. Click here to learn more about EFI Global. PRIMARY PURPOSE The Regional Business Development Manager develops relationships and identifies business development opportunities through industry engagement, networking, and market intelligence. Evaluates prospective opportunities, assesses alignment with organizational capabilities, and provides recommendations that support client engagement, territory growth, and business development objectives. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Industry Events & Association Engagement Represents the organization at industry conferences, trade shows, association meetings, and networking events within an assigned territory. Increases company visibility and strengthens relationships within targeted industry sectors. Participates in professional associations and industry communities. Outbound Networking Analyzes organizational priorities, service capabilities, and market opportunities to identify potential areas for business development engagement. Evaluates prospective opportunities against established business development criteria and provides recommendations. Documents findings and provides business development recommendations to internal stakeholders. Business Development Analysis & Opportunity Development Conducts discovery conversations to understand organizational capabilities, priorities, and alignment with prospective client needs. Qualifies opportunities against established business development criteria. Analyzes key findings and communicates insights to stakeholders. Facilitates and advances business development opportunities. Supports territory growth strategies through targeted outreach, lead generation, and relationship development efforts. Manages and analyzes business development activities and opportunity data. Lead Nurturing & Relationship Development Develops and executes follow-up plans for contacts established through events, conferences, and association activities. Leverages multiple communication channels to cultivate relationships. Builds and manages relationships with prospective clients. Market & Competitive Intelligence Researches and analyzes industry trends, market developments, and competitor activities. Gathers intelligence from conferences, events, and professional networks. Shares relevant market insights. ADDITIONAL FUNCTIONS AND RESPONSIBILITIES Performs other duties as assigned. Travel as required. QUALIFICATIONS Education & Licensing Bachelor's degree in business, Marketing, Communications, Public Relations, or related field preferred. Experience Two (2) years of experience in business development, sales support, account management, client engagement, customer success, or similar role. Skills & Knowledge Strong verbal, written, and interpersonal communication skills. Ability to engage professionally with executives, clients, industry leaders, and stakeholders. Relationship-building and active listening skills. Familiarity with CRM platforms and sales engagement tools. Experience with Microsoft Dynamics CRM, HubSpot, LinkedIn Sales Navigator, or similar preferred. Strong organizational and time-management skills. WORK ENVIRONMENT Mental: Clear thinking, judgment, problem solving, ability to meet deadlines. Physical: Computer keyboarding, travel as required. Auditory/Visual: Hearing, vision and talking. NEXT STEPS If your application is selected to advance to the next round, you will receive an e-mail notification or phone call from a recruiter to schedule an initial call. As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is $100,000 - $ 110,000 . A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. Always accepting applications. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Diego Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, the California Fair Chance Act, and all other applicable laws. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace Our business is founded on people with the best technical skills and outstanding industry knowledge and we strive to employ and retain exceptional talent. EFI Global is an equal opportunity employer welcoming applications from all qualified persons. If you are interested in working for us, please visit our job board.

US Telecommuter Telecommuter AR Telecommuter ID Telecommuter HI Telecommuter NE Telecommuter CA Telecommuter MN Telecommuter MO Telecommuter TX Telecommuter NV Telecommuter KY Telecommuter NM Telecommuter OK Telecommuter SD Telecommuter IL Telecommuter UT Telecommuter KS Telecommuter TN Telecommuter IA Telecommuter CO Telecommuter MI Telecommuter WA Telecommuter OR Telecommuter MT Telecommuter AZ Telecommuter WY Full time R77526 The 'Apply with SEEK option' will be utilized for International applicants, mainly Australia. If this does not apply to you please use the 'Apply' option. IF YOU CARE, THERE'S A PLACE FOR YOU HERE EFI Global is a full-service engineering, fire investigation, environmental, health and safety, and specialty consulting services firm serving a variety of industries in both the public and private sectors. Over the last four decades, we have grown from a boutique firm specializing in handling insurance fraud and arson cases and providing expert witness testimony, into a recognized global leader in engineering failure analysis, origin-and-cause investigations, environmental consulting, laboratory testing and specialty consulting. Our forensic investigation, engineering and environmental services teams around the world share a dedication to expertise, quality and demonstrating to customers that caring counts . Each of our more than 700 professional engineers, fire investigators, architects and scientists was selected for their technical proficiency, in-depth industry knowledge and commitment to professional integrity. Together, our diverse backgrounds and collective insights empower clients to make better-informed business decisions. EFI's combination of global solutions and local expertise has earned the firm a reputation for delivering timely responses that consistently meet our clients' expectations-anytime, anywhere. Click here to learn more about EFI Global. PRIMARY PURPOSE The Regional Business Development Manager develops relationships and identifies business development opportunities through industry engagement, networking, and market intelligence. Evaluates prospective opportunities, assesses alignment with organizational capabilities, and provides recommendations that support client engagement, territory growth, and business development objectives. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Industry Events & Association Engagement Represents the organization at industry conferences, trade shows, association meetings, and networking events within an assigned territory. Increases company visibility and strengthens relationships within targeted industry sectors. Participates in professional associations and industry communities. Outbound Networking Analyzes organizational priorities, service capabilities, and market opportunities to identify potential areas for business development engagement. Evaluates prospective opportunities against established business development criteria and provides recommendations. Documents findings and provides business development recommendations to internal stakeholders. Business Development Analysis & Opportunity Development Conducts discovery conversations to understand organizational capabilities, priorities, and alignment with prospective client needs. Qualifies opportunities against established business development criteria. Analyzes key findings and communicates insights to stakeholders. Facilitates and advances business development opportunities. Supports territory growth strategies through targeted outreach, lead generation, and relationship development efforts. Manages and analyzes business development activities and opportunity data. Lead Nurturing & Relationship Development Develops and executes follow-up plans for contacts established through events, conferences, and association activities. Leverages multiple communication channels to cultivate relationships. Builds and manages relationships with prospective clients. Market & Competitive Intelligence Researches and analyzes industry trends, market developments, and competitor activities. Gathers intelligence from conferences, events, and professional networks. Shares relevant market insights. ADDITIONAL FUNCTIONS AND RESPONSIBILITIES Performs other duties as assigned. Travel as required. QUALIFICATIONS Education & Licensing Bachelor's degree in business, Marketing, Communications, Public Relations, or related field preferred. Experience Two (2) years of experience in business development, sales support, account management, client engagement, customer success, or similar role. Skills & Knowledge Strong verbal, written, and interpersonal communication skills. Ability to engage professionally with executives, clients, industry leaders, and stakeholders. Relationship-building and active listening skills. Familiarity with CRM platforms and sales engagement tools. Experience with Microsoft Dynamics CRM, HubSpot, LinkedIn Sales Navigator, or similar preferred. Strong organizational and time-management skills. WORK ENVIRONMENT Mental: Clear thinking, judgment, problem solving, ability to meet deadlines. Physical: Computer keyboarding, travel as required. Auditory/Visual: Hearing, vision and talking. NEXT STEPS If your application is selected to advance to the next round, you will receive an e-mail notification or phone call from a recruiter to schedule an initial call. As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is $100,000 - $ 110,000 . A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. Always accepting applications. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Diego Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, the California Fair Chance Act, and all other applicable laws. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace Our business is founded on people with the best technical skills and outstanding industry knowledge and we strive to employ and retain exceptional talent. EFI Global is an equal opportunity employer welcoming applications from all qualified persons. If you are interested in working for us, please visit our job board.