65 jobs found

AI Solutions Engineer Lead Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The AI Solutions Engineer Lead(Engineer Lead Senior) is responsible for leading the end to end application system development and maintenance on large complex enterprise wide technology platforms. This role requires a strong hands-on engineer with deep experience building AI-enabled systems and using AI agents and coding assistants across the SDLC (planning, design, implementation, testing, deployment, and production support). The ideal candidate will drive adoption of AI capabilities across the portfolio, establish best practices, and mentor teams to scale AI-enabled engineering. How You Will Make an Impact Primary duties may include, but are not limited to: Lead development and architecture of agentic AI solutions, including orchestration, tool integration, and reusable enterprise patterns. Daily or weekly use of AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar. Define and implement model evaluation frameworks (quality, accuracy, safety, and performance metrics) and guide teams on continuous improvement. Demonstrates knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information. Improve AI output quality through prompt optimization and model tuning. Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business. Anticipates broad technical change and ensures that company technology stays ahead of the curve. Understands the entire architecture for a major part of our business and is able to articulate the scaling and reliability limits. Owns the change request process and coordinates with other teams as necessary. Develops and owns list of final enhancements. Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written. Performs technical design reviews and code reviews. Ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan. Responsible for delivery of application technology solutions and data information planning effort. May participates in developing the multi-year technology strategy for critical areas of the business that may encompass multiple systems. Partners with technical and non technical stakeholder to identify the long term technical trajectory of the technology infrastructure. Creates architecture and anticipates future technology needs. Leads the conversations internally about the direction of major areas of the technology, drives wide-team consensus to the adoption of this direction, and uses this direction when engaging engineers. Coordinates and manages on-call support and owns the system monitoring process. Reviews and monitors initiatives for end to end impact and coordination. Participates in review and decision making for enterprise solutions. Minimum Requirements: Requires a BA/BS degree in Information Technology, Computer Science or related field of study, and a minimum of 9 years experience; experience with multi dimensional platforms, and business and technical applications required; or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Capabilities, and Experiences: Experience mentoring others, driving teams to achieve results, leading multiple and/or large projects, and provide troubleshooting support strongly preferred. Multi database and/or multi language strongly preferred. Experience with US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security experience. Project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE). Knowledge of Agile/SAFe delivery and portfolio management tools. Strong communication skills and ability to explain AI concepts to non technical audiences. Experience integrating AI into tools such as JIRA or similar delivery platforms. Strong software engineering fundamentals including, cloud-native development, APIs and microservices, CI/CD, automated testing, and secure SDLC strongly preferred. Experience building or integrating AI agents, tool/function calling, RAG, memory, model routing, evaluations, guardrails, observability, and secure API/tool access strongly preferred. Experience building LLM or SLM applications. Ability to review, test, and harden AI-generated code.

Job Description Job Description Description: Company Description: ASG is a Minority- and Woman-Owned, Physician-Owned small business with over 15 years of experience in federal government contracting. We deliver a wide range of technology services, including software development, mobile apps, AI/ML, analytics, data science, big data, DevSecOps, digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified and holds ISO 9001:2015, 20000-1:2018, and 27001:2022 certifications . Job Description: ASG is seeking an experienced Security Lead to own the Program security posture, compliance artifacts, and coordination with Program Security Oversight leadership. This role shares leadership of the security team with a Co-Lead and directs the work of the Information Security Specialist team, ensuring compliance documentation, vulnerability management, and ATO artifacts are complete, current, and defensible in a complex federal healthcare IT environment. The ideal candidate brings deep federal cybersecurity experience, a track record of leading security teams, and the judgment to represent the program's security posture to executive and government stakeholders. What You Will Do: Own Task 3 security management deliverables, including compliance documentation, risk register maintenance, and coordination with the Program Security Oversight Leader. Direct and coordinate the Information Security Specialist team, including workload distribution and quality oversight of security deliverables, alongside the Sr. Information Security Specialist (Co-Lead). Support Authorization to Operate (ATO) maintenance, continuous Assessment & Authorization (A&A) activities, and FISMA/FedRAMP compliance documentation for Client-managed systems. Author and review security documentation, including System Security Plans (SSPs), Risk Assessments, and Security Impact Analyses (SIA), prior to submission to Program Security Oversight leadership. Oversee vulnerability scanning, remediation tracking, and security findings reporting across enterprise tools; review results and recommended corrective actions from the Information Security Specialist team. Serve as the primary security point of contact with Program Security Oversight Leadership, and maintain collaborative relationships with federal ISSOs, CSPs (e.g., AWS, Azure), system owners, and vendors. Coordinate with the Tools Management team through the combined Security/Tools scrum cadence. Track and maintain the centralized Security Risk Register, map vulnerabilities to POA&Ms, and support FISMA/FedRAMP compliance efforts across the program. Provide guidance and privacy/security insight to Agile teams across projects, and support Privacy and Security Compliance through all stages of the systems development lifecycle (SDLC). Work within Client system repositories such as CFACTS and BOX. Oversee declared game day events, ensuring after-action reports and other required game day artifacts are completed by the security team. Develop and maintain standard operating procedures (SOPs) for repeatable security processes across the team. Perform additional duties as assigned by the Program Security Oversight Leader. Perform additional duties assigned. Requirements: What We Need : Bachelor's degree or higher in Computer Science, Information Technology, Cybersecurity, Systems Engineering, or a related field (or equivalent professional experience). 8+ years of information security experience in a federal or enterprise environment, including team leadership. Experience with FISMA compliance, ATO processes, and continuous Assessment & Authorization (A working understanding of NIST 800-53/37. Experience co-leading or managing a multi-person security team, including workload distribution and quality oversight of deliverables. Working knowledge of vulnerability scanning and compliance/POA&M platforms, Jira, Confluence, and FISMA/ATO documentation standards and processes. Ability to obtain and maintain Program EUA access and required Public Trust clearance. Strong communication skills and ability to coordinate across multi-disciplinary teams and government stakeholders. Even Better: Prior Program or HHS security program experience strongly preferred. Relevant security certification (CISSP, CISM, CEH, CCNA Security, or Security+). Familiarity with federal control tracking systems (e.g., CFACTS and BOX). Working knowledge of cloud environments (AWS, Azure) and associated security controls. Exposure to pen testing, application security, and CDN security services (e.g., Akamai). Experience providing security and privacy input within Agile development environments. Knowledge about emerging industry or technology trends such as Artificial Intelligence (AI) frameworks. Clearance Requirement: Ability to obtain and maintain public trust background investigation/clearance per client requirements. Additional Information: At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to . We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks: At ASG, we want you to be well and thrive. Our benefits package includes: Healthcare Benefits Life Disability Paid Time Off 401k Matching Employee Referral Bonus Education Assistance Learning and Development resources EOE, including Disability/Veterans

Job Description Job Description: Job Description Crossflow Technologies has an exciting opportunity for a Configuration Manager located in Kettering, OH (WPAFB/Dayton, OH area) to support our EPASS GB contract. As part of the AFLCMC/GB Business and Enterprise Systems Directorate (BES), the Acquisition Business Systems Branch (GBBX). All GBBX programs/applications are merging towards a Common Portal Environment (CPE), in which all programs/applications will be accessed through a central dashboard. Furthermore, GBBX is migrating. all development activities towards an agile, Dev, Sec, Ops methodology, requiring the user community and functional sponsor representatives to be "hands-on" during the development process. The Configuration Manager will provide support ranging across the Configuration Management (CM), Quality Assurance (QA), Program Planning (PP), Risk Management (RM), and System Engineering (SE) activities which will vary depending upon the current activities of the program/system, scope of the current development/sustainment cycle, and other corporate and program initiatives. The contractor shall provide resources with progressive experience in technical writing, critical thinking and analysis, managing configuration of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits to enable government ownership of the program technical baseline. The contractor shall provide skills and experience necessary to perform the following tasks: • Provide and maintain CM of all relevant system artifacts, e.g., documentation, source code, build files, scripts, etc., to allow the government the capability to build and release a working copy of the system to the appropriate production environment;• Archive acquisition documentation; • Review and evaluate the Development/Sustainment Contractor's CM program and data deliveries for accuracy, completeness, and compliance; • Maintain CM files including configuration identification, change control, and status accounting records; • Implement CM plans; • Participate in cross-functional change control boards meetings such as, but not limited to, Configuration Control Board (CCB), Change Control Board (CCB), Functional Review Board (FRB), Requirements Review Board (RRB), etc., to record and manage proposed and approved changes; • Review the change control boards' membership list for currency and completeness; • Support Engineering Assessments; • Prepare for, conduct, and/or support major audits such as Physical Configuration Audits (PCAs) and Functional Configuration Audits (FCAs); • Record and maintain assessment and audit findings, minutes, and action items; • Report the Development/Sustainment Contractor's required software delivery status; • Support pre- and post-contract award data reviews via meeting attendance and capturing meeting minutes; • Review and evaluate the Development/Sustainment Contractor's conformance to CDRL requirements; • Manage Government and Development/Sustainment Contractor correspondence • Support the establishment of work flows; • Ensure configuration items are properly identified and documentation is accomplished; • Track configuration item deliverables and responses; • Support development/sustainment of paper and automated archival systems of all covered documentation; • Work closely with program management, systems engineers, quality managers, draftsmen and design/manufacturing engineers in an integrated product team environment; • Develop and administer configuration management plans; • Maintain design traceability and integrity; • Convene and manage change control boards; • Assist the Government with configuration control for ERP and IT systems. This shall include configuration planning, maintenance of configuration documentation and data, and maintaining inventory/configuration status accounting; • Manage configurations of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits with the required skills and experience necessary to work closely with program management, systems engineers, quality managers, and design engineers in an integrated product team environment; • Support requirements and change control boards via meeting attendance and capturing meeting minutes; • Track and manage proposed and approved changes, e.g., Engineering Change Proposals (ECPs), Change Requests (CRs), and Discrepancy Reports (DRs) / Problem Reports (PRs), throughout system development & sustainment lifecycle; • Ensure integrity of the baseline including major releases, minor releases, patches, and software maintenance; • Provide QA checks on system baselines, i.e., Functional, Allocated, Product; • Support Licensing tasks and packaging and delivering of software to users; • Maintain the CM library and software repository; • Manage and control system baselines; • Recommend and document comprehensive configuration management plans for software, hardware, firmware, and peripherals for IT systems; • Evaluate data and preparing plans and briefings in support of software-driven systems; • Evaluate and monitor effectiveness of configuration management plans to identify potential and existing problems and make recommendations for resolution; • Audit and review IT system configurations for compliance to required specifications; • Control the configuration of IT systems; and/or, • Develop and manage access and change control guidelines and procedures to avoid unauthorized access and changes to system configurations. Required Qualifications: The Configuration Manager has the knowledge, experience and recognized ability to be considered highly skilled in their technical/professional field. Possesses the ability to perform tasks independently and oversee the efforts of junior and journeyman contractor personnel within the technical/professional discipline. Demonstrates advanced knowledge of their technical/professional discipline as well as possess a comprehensive understanding and ability to apply associated standards, procedures and practices in their area of expertise (Program Office, Enterprise and Staff Level Support interface). • IT Configuration Management experience within the Department of Defense environment; • Formal training and knowledge of configuration management directives, standards, principles (Plan, Identify, Control, AuditNerify, Status Accounting), and techniques; • Experience performing HW and SW configuration audits; • Experience performing the technical administrative activities necessary to manage CM tools, e.g., Git, Gitlab, Jira, Confluence, Bitbucket, AWSConfig, Azure DevOps Server, Insight, Star Team, for inventory control, version control, data duplication, media labeling; • Experience producing release notes and CM reports; • In-depth understanding of the configuration change control process, the role of the Configuration/Change Control Board, and change control documentation; • Experience performing baseline administrative activities for multiple environments; • Performing written and oral communications; • Experience developing briefings for management • Understanding of all phases of the software development life cycle; • Ability to enter and manage system configuration items in a database; • Ability to provide critical analysis in the realm of problem identification and analysis, interpretation and understanding of links between ideas, research, identification of inconsistencies and errors, relevance confirmation, explanation and presentation, creative and open mindedness, evaluation and problem-solving; • Extensive technical writing experience to provide accurate, concise, and clear document designs, collaboration, presentation, and research skills needed to design productive workplace documents and presentations for a variety of purposes and audiences; and/or, • Assist in developing and administering configuration management plans, maintaining design traceability and integrity, convening and managing change control boards, and preparing for and attending major events such as, but not limited to, TIMs, PDRs, CDRs, PCAs, FCAs, and CCBs. Candidate must be a US Citizen - REQUIRED Candidate must possess and be able to maintain a T1/NACI - REQUIRED Master's or Doctorate Degree in a related field and ten years of experience in the respective technical/professional discipline being performed, five years of which must be in the DoD OR, Bachelor's Degree in a related field and 12 years of experience in the respective technical/professional discipline being performed, five of which must be in the DoD OR, 15 years of directly related experience with proper certifications as described in the PWS labor category performance requirements, eight of which must be in the DoD. Preferred Qualifications: Possessing any of the following certifications would be beneficial, but not required: • Certification in Software Configuration Management - Desired. • Certification in Agile Development - Desired, or • Scrum Master Certification - Desired Schedule: (M-F; 8-5) Work Location: Kettering, OH (Dayton/WPAFB)- Onsite Travel: 0-10% Relocation Assistance Available: No Position Contingent Upon Award of Contract: No Equal Opportunity/Affirmative Action Employer: Crossflow ensures that employment decisions and personnel actions are administered fairly, equitably, and in compliance with the federal, state, and local laws and regulations governing EEO and personnel management. All qualified individuals will receive consideration for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Why Crossflow? Crossflow Technologies is proud to offer such wonderful benefits and perks to our employees; however, we feel the biggest perk is our company culture . click apply for full job details

Our Client is developing software-based products that will require security engineering. The Senior Product Security Engineer within the team will identify security related requirements, assist with threat models, help architect secure solutions, analyze software designs and implementations from a security perspective, and develop and maintain compliant documentation associated with product security. This role requires technical expertise, knowledge of safety critical systems, and the ability to work in a team environment to ensure security and resilience of our current and developing digital products.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Battery Management System Engineer role is responsible for delivering defined engineering assignments with guidance, while expanding the breadth of technical knowledge and starting to deepen expertise in specific technology area. As a member of the Electrical & Electronics Architecture (EEA) Division, this position is expected to design vehicles' electrical and electronics infrastructure, integrate and package the battery related software including input from other systems and divisions. The position is responsible for Battery Management and Charge Balance system and the correct parameter application among other responsibilities. Role requires heavy correlation with counterparts in Japan side (4MOC) as well as counterparts within the electrical division. Key Accountabilities Project and team management: Breaking down project concept details into required development activities and deciding the overall ECU development plan with Technical Leadership's guidance and support, correlating technical project details with key stakeholders and negotiating the schedule for deliverables. Informing technical leadership of project status often is expected. Engineering specification design including electrical circuit hardware and software. Setting the direction to create design concepts before converting to requirements and functional specifications, then conducting design reviews with technical leadership. Engineering troubleshooting, root cause analysis and solution design: Working hands-on in prototype or mass production level vehicles to identify responsible system(s) functional issues and deciding the steps required for resolution. Testing and verification of ECU specifications related to hardware and software: Performing testing in prototype or mass production level vehicles related to electromagnetic compatibility (EMC) or verification of technical change points to ensure proper electrical functional performance, quality and reliability. Accountable to create test result reports and conduct verification reviews with technical leadership. Improvement and innovation: Identify shortcomings and suggest improvements to existing processes, systems and procedures in order to increase efficiency and other key metrics. Documentation: Management of multiple concurrent developments with the ability to recognize problems in advance and navigate the unknown, with the experience to see the next step and create a decision matrix for solving a problem or troubleshoot with multiple options. Report concern(s) items to Technical Leadership and identify/propose C/Ms for resolution after conducting thorough root cause analysis Work with suppliers to coordinate requirements, schedule activities, and address issues in a timely manner Qualifications, Experience, and Skills Minimum educational qualifications: Must have at least an Associate level college degree / diploma in engineering in any of these fields of study, e.g. - Electrical / Electronics / Mechanical / Chemical / Control Systems / Mechatronics / Physics / Materials Science or a related STEM field of study. A 4-year Bachelors degree in aforementioned fields of study preferred. Minimum work experience: At least 3 years relevant experience working in the automotive industry or an industry with similar applications / technologies. Other job-specific skills: Effective communication skills (written, verbal and presentation). Ability to cultivate and manage relationships of varying levels in/out of the organization, including supplier. Ability to acclimate to new environments, negotiate through unknowns and meet new people. Ability to manage time effectively and productively. Solid quantitative/analytical problem-solving and decision-making skills Computer skills, such as PowerPoint, Excel, MS Project, Word, CANalyzer etc. Ability to multi-task and work independently Acute attention to detail Strong collaboration skills Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: Approx 10% annually - largely domestic and rarely international May have to work overtime on a need basis Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Job Description: Providing air traffic control and airport surface safety and efficiency systems and tools, we are dedicated to creating aviation systems and services that enable safe, predictable and efficient operations. We deliver innovative solutions to Air Navigation Service Providers (ANSPs), airports and airlines at over 100 locations in more than 45 countries. As a global leading partner and provider of proven Air Traffic Monitoring (ATM) solutions, we transform operations, turning innovative ideas into reality and supporting stakeholders from solution conception through long-term support. We are currently seeking a motivated, enthusiastic Senior Staff Systems Engineer interested in designing, deploying, integrating, tuning, and commissioning advanced ATM systems as part of our Automation and Surveillance team. This position offers opportunities to travel internationally, acquire a diverse range of practical engineering experience, and interact with customers around the world. Currently, we are seeking an engineer to support the execution of ATM projects for several airports in Australia. Job Responsibilities include: Understand customer requirements (including safety and security standards) and decompose them to generate system designs and architectures, hardware requirements, and software requirements. Perform design analysis and trade studies. Lead small, interdisciplinary teams to develop detailed designs and technical and programmatic artifacts. Develop technical documentation and presentation materials for design reviews. Lead programmatic and technical discussions with customers. Help integrate, configure, and test systems in the factory and in the deployed environment. Work collaboratively with customers, prime contractors, and subcontractors to integrate systems and subsystems. Analyze and reduce large datasets to quantify system performance, investigate anomalies, and develop solutions. Support proposal activities by analyzing requirements, assessing compliance/NRE, providing cost and schedule input, and providing/editing technical written material. Utilize and improve existing Saab processes, policies, and products. Provide mentoring and oversight to less-experienced engineers. Compensation: $132,000 - $171,600 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: A bachelor's degree in engineering, physics or computer science from an accredited institution or relevant military education & training 15+ years of relevant experience Opportunity for international travel (up to 10%) Computer programming experience in a high-level language such as Matlab, C/C++, Java, etc. The ability to work effectively in a dynamic, fast-paced, team environment. Strong interpersonal and teamwork skills. Demonstrated personal time management, planning, and organizing skills. Technical project planning skills (including providing cost and schedule estimates). Drive to take ownership of project execution. Desired Expertise: Knowledge of Air Traffic Surveillance and Control systems including international ATC terminology, standards and procedures Familiarity with Linux and Windows operating systems Familiarity with IP networks including Firewalls The successful candidate will have: Strong analytical thinking and problem-solving skills. Ability to identify, understand, and proactively manage risks. The ability to effectively communicate (written and verbal), including presenting to and collaborating with both technical and non-technical colleagues and customers. The ability to generate high-quality technical documentation, including architecture documents, test plans and procedures, reports, and white papers. An interest in international travel and the ability to work with technical counterparts from different countries and cultures around the world. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

Job Description: Saab, Inc. is seeking a highly skilled Lead Program Performance Management Analyst to support our rapidly growing organization. This position is eligible for full-time remote. This key role requires a candidate skilled in MS Project and has a proven track record of success managing complex schedules and partnering with stakeholders to ensure program execution. Responsibilities include: Program Planning and Performance Analysis: The analyst will lead the development of the program cost and/or schedule baselines within the contract parameters, the analysis of program performance (historical and predictive), the monitoring of the contract/program Estimate at Complete while reviewing results with and making recommendations to program teams. Serves as a subject matter expert (SME) in the guidance and mentoring of program teams and Program Performance Management (PPM) staff in program management tools and processes. Integrates subcontractor and material cost and schedules data into program data. Advanced analysis in the contract/program Estimate at Complete (EAC), Management Reserve, Risk and Opportunity Management. Prepares and presents accurate and timely program review documents to senior leadership. Reconciles program data with the latest contract modifications. Defines requirements to solve common business problems. Fosters an environment of trust and teamwork: build collaborative relationships internally and externally. Interfaces with multiple IPT leads and PMs across multiple geographic locations. Demonstrates EVMS compliance through audits. Communicates professionally and effectively with team members and customers. Supports other programs with expertise during critical time frames. Works on multiple projects simultaneously in a fast-paced environment. Responsible for coordination and accuracy of timely program deliverables. Acts as change agent, challenges the status quo. Leads the development of the detailed IMP and IMS to meet all contract and program objectives and supports the integration of cost and schedule data. Ensures advanced schedule techniques (health and quality checks, resource loading, critical path analysis, and risk analysis) are applied effectively to drive proactive decisions. Ensures major projects and program schedules are horizontally and vertically integrated and resolves network logic conflicts. Creates and analyzes program milestone charts. Creates and manages WBS, IMP, and IMS for proposals. Technical Guidance and Process Innovation: Mentors and trains employees in planning and scheduling best practices. Leads efforts to automate processes to solve common business problems. Leads the design of tests to evaluate new EVMS and/or schedule tools, analyze test results, and makes recommendations to support operational improvement. Leads the incorporation of new EVMS and/or schedule tools. Leads tool re-design to improve performance. Trains analysts in the EVMS and schedule tools. Serves as a senior resource to other analysts in developing solutions that meet complex business requirements. Leads process changes to improve overall efficiency of program performance management function. Typical Salary Range: $115,700 - $150,500 for our Syracuse, NY, New York Remote, Orlando, FL, Remote Florida, Remote Arizona locations. $138,900 - $180,600 for our Washington, DC Remote, Quincy, MA, locations. The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Experience: BA/BS degree in a business, engineering or related discipline 8+ years' experience in a technical, business, military, professional or U.S. Government Contractor environment. Required Skills : MS Project, MS Office Suite, Deltek Cobra, Integrating Scheduling Data with Manpower, EVMS, and Proposal Support Systems IMP/IMS Development and Maintenance on DoD programs with EVM requirements Critical Path Analysis and Slack Management Variance Analysis EVMS Concepts including Analysis and Corrective Actions Ability to Function at a Positive & High Level in a Team Environment Desired Skills : Schedule Risk Analysis Risk and Opportunity Management Open Plan Scheduling Software Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.

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

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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 Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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 Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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 Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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 Staff AI Engineer - Agentic AI Platform (Remote Eligible) 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. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff 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).

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER II- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements Active U.S. Government Secret Security Clearance THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $223,025-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: . click apply for full job details

Job Description Job Description Ricondo is seeking a Simulation Consultant to join our team of talented aviation consultants in our Denver office. Ricondo team members are passionate about working alongside airport management to solve the complex issues facing the aviation industry today. They provide strategic planning services at airports around the world, including operational and physical planning, master planning, environmental reviews, and business advisory services. We are seeking a self-motivated individual with an intellectual curiosity for technical challenges, strategic and independent thinking, and a desire to work in a team environment across multiple disciplines. Joining our team of aviation consultants provides opportunities for individuals to assist in determining the future of the largest and fastest-growing airports around the world. As a Simulation Consultant, you will work collaboratively with our diverse team of aviation professionals located in offices across the country on airport planning projects. Core Responsibilities Coordinate with fellow employees and senior staff concerning the compilation, interpretation, and presentation of research data for airport planning studies. Learn and run operational simulation modeling software (on the job training will be provided). Collect and analyze data in support of airport planning studies. Prepare draft sections of reports and deliverables based on verbal and written input from others as well individual efforts. Assist in developing, formatting, publishing, and distributing tables, charts, manuals, and maps that deal with existing and proposed airport planning studies. Develop and maintain electronic datasets and file structures. Respond to requests for data and information from internal staff and external clients, organizations, various agencies, and the public. Requirements Bachelor's degree in a field that provides a strong foundation for aviation consulting, such as Engineering (with a focus on Transportation and/or Operations Research), Aviation Management (with a focus on Air Traffic Control and/or Airport Operations), Mathematics, or Statistics. Familiarity with analytical techniques and related tools including statistical and spreadsheet (Microsoft Excel) applications. Experience with computer programming languages (e.g., Visual Basic, C++, Python). 0-3 years of increasingly responsible experience in airport planning or related field. Possesses a familiarity with the aviation industry or a desire to learn and grow in the aviation industry. Excellent analytical skills. Excellent verbal, interpersonal, and written communications skills. High level of proficiency in Microsoft Office applications (Word, Excel, and PowerPoint). Willingness to travel to support Ricondo & Associates, Inc.'s, global project portfolio. Additional Preferred Technical Skills Master's degree in a field that provides a strong foundation for aviation consulting, such as Engineering (with a focus on Transportation and/or Operations Research), Aviation Management (with a focus on Air Traffic Control and/or Airport Operations), Mathematics, or Statistics. Extensive knowledge of best practices, methods, and principles utilized in strategic planning, infrastructure and facilities planning, and operational research for airports. Familiarity with airfield/airspace/aircraft operations at commercial service airports. Ability to apply advanced professional knowledge of the principles of management, business, marketing and administration in directing, supervising, and coordinating large and complex airport planning projects. Extensive knowledge of analytical techniques and related tools including statistical, spreadsheet (Microsoft Excel), database (Microsoft Access), and simulation (AirTOp, CAST, SIMMOD, TAAM, etc.) applications. Advanced experience applying computer programming languages (e.g., Visual Basic, C++, Python). Ability to establish and maintain effective working relations with senior executives and staff at client organizations. Competitive Benefits Package Employee Stock Ownership Plan (ESOP) 401(k) retirement savings plan with employer match, depending on company performance medical, dental, and vision insurance provided at no premium cost to the employee (including dependents) generous paid time-off program for sick leave and vacation time company-paid holidays tuition reimbursement program professional certification, licensure, and association membership funding professional conferences and seminars internal workshops and webinars short- and long-term disability insurance coverage life insurance (survivor benefits) team member referral bonus program flexible spending accounts (medical and dependent care) transit commuter benefit (based upon location) The base pay range for this role is $62,000 - $88,000. The base salary range/hourly rate established for a job offer is dependent on job-related, non-discriminatory factors, such as experience, education, and skills. Our Team Ricondo has served the aviation industry for over 35 years. Our team of nearly 160 consultants represents the brightest and most well-respected professionals in aviation today, working together to meet our clients' needs with ideas, expertise, and transformative solutions. Advance your career with our talented team and help shape the built airport environment. We strive to be a responsible business-one that adheres to high legal, moral, and ethical professional standards. Our pride is in our people, as evidenced by our extremely competitive benefits. We are committed to equality, diversity, cross-disciplinary training, and staff development. We emphasize quality and accountability in a respectful, collaborative, and congenial environment. Ricondo is an equal-opportunity employer. Powered by JazzHR fIUU3fXEwT

Job Description Job Description Request ID: 71382-1 Duration: 12 months with possible extension Tax Work Location: US - WA - Redmond Onsite 5 days a week. Job Title: Core Engineering - Test Engineer II Job Description: Title: Acoustic Test Engineer Role summary Seeking an acoustic test engineer to execute hands-on acoustic measurements on wearable audio devices and document the results in our quality records system. The role involves running an established, documented test process on a calibrated acoustic measurement bench and producing traceable test reports within a regulated quality environment (e.g., medical-device / ISO-style design controls). There will be close collaboration with a senior engineer who owns the test requirements, calibration methodology, and quality standards. Execution will be against those defined procedures. Responsibilities - Execute acoustic test protocols on devices under test - including gain, output level, frequency response, and calibration measurements - precisely following procedures - Set up and operate the measurement bench: head-and-torso simulators (HATS) / acoustic couplers, audio interfaces, acoustic calibrators, and device mounting/fitting - Run the acoustic measurement software end-to-end: audio-device and channel configuration, microphone and speaker calibration, measurement capture, and data archiving - Honor acceptance criteria and gating - flag out-of-tolerance results, calibration faults, and anomalies for review; never pass questionable data silently - Produce and file traceable test reports in the team's quality records system: test identifiers, device serial numbers, calibration records, and raw + processed data - Maintain meticulous lab records, equipment calibration status, and device logs - Escalate measurement-judgment and calibration questions to the supervising engineer Required qualifications - 1-3 years of hands-on acoustic/audio measurement or lab-test experience: sound-pressure-level, frequency-response, gain, and level measurements - Willingness and aptitude to learn real-ear / insertion-gain measurement methods - Comfort operating measurement hardware - audio interfaces, acoustic calibrators, acoustic test fixtures/couplers (or demonstrated ability to ramp quickly) - Exceptional attention to detail and documentation discipline; able to follow written procedures precisely and reproducibly - Basic scripting comfort (Python and/or MATLAB) to operate measurement tools and run analysis scripts - Reliable, organized, and able to work independently within a structured process - Comfortable on macOS or able to ramp quickly Preferred (nice to have) - Audiology / hearing-device measurement background (real-ear measurements, dynamic-range compression, insertion gain) - Experience in a regulated / quality-controlled environment (e.g., FDA, ISO 13485, medical-device design verification) - Familiarity with an electronic quality management system (eQMS) Education Associate's or Bachelor's degree in acoustics, audio/electrical engineering, physics, audiology/hearing science, music/audio technology, biomedical engineering, or a related technical field or equivalent hands-on lab/test experience Logistics

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Job Description Why Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection-between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Core Platform is a platform team. Our customers are Charlie Health's other engineering teams, and our job is to make them faster, safer, and more consistent. We don't ship product features. We build the patterns, services, and guardrails that other engineering teams depend on. As the Principal Platform Engineer on Core Platform, you will be the technical lead for the team building the platform underneath everything Charlie Health ships next: a federated GraphQL front door that fronts every client surface, the event substrate that carries every signal, the identity layer that authenticates every human and every AI agent, and the real-time world model state layer that gives our services and agents a live picture of care. You will be foundational in a replatforming effort, and the primitives you design become the platform's paved roads. This is a technical leadership role without direct reports. You own the team's technical direction, roadmap, and delivery. You will set direction for a team of Staff and Senior Platform Engineers, make the hardest design calls of the replatforming, and stay hands-on in the work. We build with AI as the default. Specs are the primary artifact, agents draft most of the implementation, and the quality gates this team owns are what make that safe in a HIPAA-regulated clinical business. Responsibilities Own the team's roadmap and intake. Balance incoming platform requests and near-term developer pain against long-term architectural investment, with support from the Director of Platform Engineering and the CTO Set the technical direction for the Core Platform team and break the north star architecture into projects the team ships quarter by quarter Run the team's delivery: planning, refinement, and the sprint cadence, with epics scoped to clear milestones and target dates Architect the federated GraphQL supergraph and govern its schema, including subgraph onboarding standards, contract enforcement, and caching and persisted query posture Build authentication and authorization for the platform, including agent identity: scoped, short-lived, audited credentials for non-human principals Design, build, and operate the centralized event substrate, including schema governance, dead-letter conventions, and the producer and consumer patterns that make async the default integration path between services Guide the technical execution of our strangler-fig migration through to cutover, working with product squads as they move onto the new platform Deliver the real-time world model state layer: the stream processing that turns events into state, and the live, low-latency state graph that services and agents query Facilitate the Architecture Advice Guild rituals and provide technical direction on architecture decision records for cross-team decisions and standards Raise the bar for spec writing and agent orchestration on the team, and review specs and agent output with the same rigor you would apply to a senior engineer's work Keep the platform services the team operates reliable: SLOs, monitor-gated deploys, incident leadership, and a seat in the on-call rotation Drive the technical evaluation for procurement and renewals of our critical platform vendors: evaluations, proofs of concept, usage and cost data, and build versus buy recommendations, partnering with the Director who owns the commercial side Mentor Staff and Senior engineers toward larger scope Requirements 10+ years of software engineering experience, including ownership of platform or distributed systems architecture at company scale. You have designed, operated, and evolved systems that other teams build on Hands-on experience with GraphQL federation at scale and with event streaming systems such as Kafka, covering design, schema governance, and production operation rather than just consumption Experience with skills, MCPs, harnesses, agentic tooling ecosystems, or agent orchestration for software development A track record of technical leadership without people authority. You have aligned multiple teams behind architectural outcomes and developed senior engineers Experience owning a team roadmap: intake, prioritization, and delivery planning alongside the architecture work You build with AI agents as part of your daily work. You write specs agents can implement, run agents for real delivery, and know where agent output needs human judgment Proficiency in the stack we run: TypeScript and/or Python services, Postgres, and AWS managed primitives Comfort operating production critical-path systems, including on-call, in a regulated environment Clear, direct communication with engineers, leadership, clinicians, and compliance This role requires 4 days per week in our NYC office. Nice to Haves Real-time stream processing (Flink, Spark, KsqlDB, or similar) and graph databases (Memgraph, Neo4j, Amazon Neptune, Dgraph, or similar) Healthcare data standards (FHIR, HL7v2) and engineering in a HIPAA-regulated environment Time as a people manager for senior or staff level engineers A strangler-fig migration or large platform cutover you have led Prior work on a platform engineering team Fluency with domain-driven design or event storming Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $225,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values Connection: Care deeply & inspire hope. Congruence: Stay curious & heed the evidence. Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: -openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent email addresses. Legitimate emails will never originate from or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.