22 jobs found

In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs and security researchers to codify security analytics into the service. These researchers apply advanced statistics, machine learning, and deep learning algorithms to build new detections across a range of domains - including cloud security, network security, and the emerging field of AI security - and you will help turn that research into production systems at AWS scale. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Own the full software development lifecycle, including scoping, planning, conception, design, implementation, testing, documentation, delivery, and maintenance. - Conduct design and code reviews for other engineers, providing feedback on architecture, integration, scalability, and performance. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and build fault-tolerant systems that minimize operational load. - Participate in root cause analysis and long-term improvements so we don't get paged for the same issue twice. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 10+ years of practical work applying ML to solve complex problems experience - Experience with any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing - Experience with security and systems that handle sensitive data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually

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

Job Description Job Description Description: Senior MES Engineer $145K-$180K + Bonus Raleigh, NC Hybrid Life Sciences MES / Industrial Automation Elizabeth Banzhaf, LPN Co-Founder & COO Heartline Staffing Call or Text: LinkedIn: View Elizabeth's LinkedIn Prefer a confidential conversation instead of applying? Call or text Elizabeth directly at . Heartline Staffing is recruiting a Senior MES Engineer for a senior-level Life Sciences manufacturing technology opportunity based in Raleigh, North Carolina. This position combines MES solution architecture, technical leadership, customer engagement, systems integration, project leadership and business development. The Senior MES Engineer will work directly with customers and lead engineering teams through requirements identification, MES platform evaluation, specification development, implementation, testing, commissioning and qualification. The role requires extensive MES experience, including at least 4 years of Life Sciences MES experience, and the ability to develop integrated manufacturing solutions across controls, MES and enterprise systems. COMPENSATION • $145,000-$180,000 Base Salary • Discretionary Bonus That Could Be 20%-35% • Relocation Assistance: No • Visa Sponsorship: No WORK MODEL • Hybrid Position Based In North Carolina • Candidate Must Live In North Carolina • Raleigh Office Presence Required Regularly, Particularly When Starting • Work Will Include Raleigh Office, Home Office And Client Sites Over Time • Up To 25% Travel MES SOLUTION ARCHITECTURE • Conceptualize, Detail And Implement MES Solutions For Industrial Processes And Machinery • Develop MES Strategies Integrating Process Knowledge, Equipment Design, Quality Standards And Information Technology • Design Solutions To Reduce Downtime, Support Regulatory Compliance And Improve Manufacturing Efficiency • Evaluate MES Platforms And Develop Technical Specifications • Lead Implementation, Testing, Start-Up, Commissioning And Qualification Activities • Support Whitefield And Brownfield System Architecture LIFE SCIENCES MES • Work With MES Solutions In Regulated Life Sciences Manufacturing Environments • Apply cGMP And 21 CFR Part 11 Requirements • Support Integrated EBR Recipe Design And Implementation • Apply GAMP5, S88 And S95 Standards • Understand GMP Warehouse And Inventory Management • Evaluate Manufacturing Processes And Recommend Optimal System Configurations MES PLATFORMS & SYSTEM INTEGRATION • Work With MES Platforms Including Werum PAS-X, Sepasoft And POMS • Coordinate Systems From Controls Through ERP • Integrate PLC / DCS Systems • Work With Historian Technology And Reporting Systems • Work With Relational Databases Including SQL And Oracle • Support Interfaces With Systems Such As DeltaV, SAP, LIMS, PI And Maximo • Apply Strong IT / OT Networking Knowledge TECHNICAL & PROJECT LEADERSHIP • Act As Technical Lead On MES Projects • Lead And Support Engineering Teams • Guide And Mentor Less Experienced Engineers And Technicians • Develop Project Execution Plans And Work Breakdown Structures • Support Project Budgets, Scheduling, Task Prioritization And Time Tracking • Support Financial Tracking And Reporting • Identify Project Problems Early And Support Conflict Resolution • Oversee Daily Project Operations And Activities On Projects Up To $1M • Support Overall Project Profitability • May Act As Project Manager On Smaller Projects CUSTOMER & BUSINESS DEVELOPMENT • Interact Directly With Customers • Build Strong Customer Partnerships • Support New And Existing Customer Relationships • Develop Repeat Business • Participate In Trade Shows And Associations • Contribute To Business Development And New Business Generation WORKING ENVIRONMENT • Standard Office Environment • Onsite Office Environment • Diverse Industrial Environments • Frequent Computer And Office Equipment Use • Position Includes Driving, Lifting, Pushing, Pulling And Mounting / Dismounting Equipment Requirements: • Bachelor Of Science Degree In Engineering, Computer Science Or Applied Sciences REQUIRED • Greater Than 8-10 Years Of Overall MES Experience REQUIRED • At Least 4 Years Of Life Sciences MES Experience REQUIRED • Ability To Live And Work In North Carolina REQUIRED • Ability To Travel Up To 25% REQUIRED • Ability To Act As A Solution Architect And Conceptualize, Detail And Implement MES Solutions For Industrial Processes And Machinery REQUIRED • Ability To Work Independently And Serve As Technical Lead While Guiding Lower-Level Engineers And Technicians REQUIRED • Familiarity With Life Sciences Regulatory Requirements Including cGMP And 21 CFR Part 11 REQUIRED • Experience Coordinating Multiple Systems From Controls Through ERP, Including PLC / DCS, Historian Technology, Reporting Systems, Relational Databases And ERP Systems, With Ability To Create Interfaces REQUIRED • Proven Experience Across MES Project Phases Including Conceptual, Basis Of Design, Implementation, Testing, Start-Up And Commissioning In The Life Sciences Industry REQUIRED • Whitefield And Brownfield System Architecture Experience REQUIRED • MES Solution Deployment Experience With Platforms Such As Werum PAS-X, Sepasoft Or POMS REQUIRED • Business Development Aptitude And Ability To Bring In Business REQUIRED PREFERRED • Experience Working For A Systems Integrator Or Similar Integration Environment • Interest And Capability To Grow Into Leadership Of An MES Office In North Carolina Not ready to formally apply? That's completely fine. Many senior MES professionals prefer a confidential conversation first. Call or text Elizabeth directly at .

Job Description Job Description Position: Integrated Photonics Engineer I Position Details Salary Range: $75,000-$95,000 annually. Location (Non-Negotiable): This is an on-site, full-time exempt, entry-level role based in Rome, NY, with work performed at AFRL and the Innovare Advancement Center at the Rome Griffiss Institute campus, working under the guidance of more senior engineers. Candidates must be located, or re-locate, within a commutable distance to Rome, NY by their agreed upon start date. Due to the clearance required for this position, only U.S. citizens are eligible to apply; as outlined in Executive Order 12968: Access to Classified Information, eligibility for access to classified information may only be granted to employees who are United States citizens. Visa sponsorship is not available for this position. Responsibilities and Duties The Integrated Photonics Engineer I supports research conducted by the Technergetics Quantum Team, assisting with the development and characterization of photonic systems for heterogeneous quantum networks, optical sensing and communication, and the enhancement of quantum systems through novel technologies: Assist with independent and team-based research to develop and advance key components of a wide-area, heterogeneous quantum network, under the guidance of senior engineers Assist with the design, simulation, and optimization of integrated photonic devices and circuits tailored for quantum information processing, sensing, and communication applications Support senior engineers in designing photonic circuits that support quantum algorithms and protocols Assist with the integration of photonics with light sources, detectors, and control systems Support system-level design and optimization tasks for data transfer, processing, and quantum entanglement in integrated photonics setups Observe and assist with the tape-out process for integrated photonic circuits under the direction of more senior engineers and fabrication teams Participate in the design and testing of integrated photonic devices, learning to use photonic simulation software (e.g., Ansys Lumerical, COMSOL, or similar) Learn and begin using layout software (e.g., GDSFactory, KLayout, or similar) to support the design of integrated photonic circuits Develop foundational expertise in integrated photonics and quantum technologies through hands-on work and mentorship Education and Certifications: This project requires at minimum a Bachelor's degree from an accredited college or university in physics, applied physics, or closely related technical field. Required Qualifications: 1 year of professional or research experience; relevant internship, thesis, or coursework-based project experience is welcomed in place of professional experience Basic familiarity with photonic device design concepts, gained through coursework, research, or lab experience Willingness to learn photonic device design software (e.g., Lumerical, COMSOL, ADS, or equivalent) on the job Foundational knowledge of quantum optics and quantum information science, gained through academic coursework Strong attention to detail and eagerness to learn integrated photonics fabrication and testing concepts Desired Qualifications: Exposure to integrated photonics fabrication concepts through academic or internship project experience Familiarity with optical testing and characterization techniques (e.g., spectroscopy, microscopy, or interferometry) Coursework or project experience touching quantum algorithms, quantum computing, or quantum communication Demonstrated ability to work well in a collaborative, mentorship-driven team environment Clearance: Applicants selected will be subject to a background check and security investigation and must meet and maintain eligibility requirements for, at minimum, Secret access to classified information. Travel: This position is not expected to require travel. Benefits: Our benefits package includes health, life, disability, dental, and vision insurance coverage and a 401(k) policy with a 3% company contribution & 3% company match. Other perks include generous Paid Time Off (including a PTO "gift day" for your birthday), 11 Federal Holidays per year, three weeks paid maternity/paternity leave, and annual technology "allowances". Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once specific requirements are met), and flexible daily start and stop times for most projects and positions. Company Description Technergetics is a US-based company headquartered in Utica, NY, with employees and clients located throughout the country. The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business & Technology Park's tenants and facilities, including the Air Force Research Lab (AFRL). At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more. Beware of fraudulent job offers and postings! Technergetics will never extend an offer of employment without a thorough interview process involving face to face interviews either in-person or a virtual Teams meeting from an official Technergetics email address ( ). If you receive any correspondence from an email other than , it is a scam. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.

Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.

Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.

Job Description Job Description Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team responsible for taking ideas from concept to production - building intelligent systems and user experiences that blend cutting-edge AI capabilities with the high standards of quality, aesthetics, and usability expected in the architecture and community. This is a senior-level individual contributor role focused on applied AI product development. You will work across the stack to architect and deploy scalable AI systems that enhance how users discover, understand, and engage with products, materials, and creative content. Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking for someone who not only understands modern AI systems technically, but also has strong product instincts, visual sensibility, and genuine passion for building AI experiences that feel thoughtful, polished, and useful. AI will play a foundational role in the future of Material Bank's platform, and you will help define and build that future. What you'll do Design, build, and deploy end-to-end AI-powered product experiences from concept through production. Architect and implement scalable AI systems leveraging LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and modern data infrastructure. Build production-grade multi-agent workflows and orchestration systems using frameworks such as LangGraph, LangChain, Mastra, and custom tooling. Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. Build multimodal AI workflows that analyze and reason over images, creative assets, and visual datasets using modern multimodal LLMs, embedding models, and specialized tooling such as SAM2/SAM3. Create AI-assisted experiences for search, discovery, content generation, personalization, and creative workflows across Material Bank's platform. Evaluate, refine, and improve AI-generated outputs for quality, tone, accuracy, and creative alignment through testing, iteration, and human-in-the-loop evaluation strategies. Partner closely with Product, Design, Engineering, Data, and Executive Leadership to identify high-impact opportunities and translate ambiguous ideas into production-ready AI capabilities. Make architectural decisions that balance speed, scalability, latency, cost, accuracy, and long-term maintainability. Continuously evaluate emerging AI technologies, models, frameworks, and workflows to identify opportunities that create meaningful business and user value. What you'll bring 8+ years of experience building and shipping production software, including significant full-stack engineering experience. Demonstrated success designing and deploying production-grade AI/ML systems and AI-powered product experiences. Deep hands-on experience with LLMs, embeddings, multimodal AI systems, RAG architectures, and multi-agent frameworks such as LangGraph, LangChain, Mastra, or equivalent custom tooling. Strong engineering fundamentals across backend systems, APIs, data pipelines, cloud infrastructure, and modern JavaScript/TypeScript and Python ecosystems. Experience working with multimodal models, visual analysis systems, and image-based AI workflows at scale, including familiarity with modern image-generation tooling and services. Strong systems thinking with the ability to balance trade-offs across latency, cost, scalability, accuracy, reliability, and user experience. Proven ability to independently take ambiguous problems from idea to shipped product with minimal oversight. Strong product instincts, visual sensibility, and a high bar for quality, usability, and craftsmanship in AI-generated experiences. Genuine interest in creative industries such as architecture, design, fashion, media, photography, or art, with an appreciation for aesthetics and taste. Open-source contributions, side projects, or publicly demonstrable AI work that reflects curiosity, experimentation, and passion for applied AI are strongly preferred. Strong communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. What you'll get from us: Our people : We are a growth-driven team that values efficiency, builds smart automation, operates in small empowered teams, and moves quickly from idea to execution. Relaxation and Celebrations : Flexible PTO, Sick Days, Paid National Holidays, and even more (ask us about this when we connect). Health Benefits : We contribute to your medical, dental, vision and short-term/long-term disability plans and have a strong employee assistance program. Plan for your Retirement : 401(k) eligible after your first 90 day's employed! Giving Back : We sponsor multiple events throughout the year to help out our communities. Growth : We'll help you take your career to the next level. We want you to be creative and take initiative which will allow you to grow and create within the company. Most importantly, be the best at what matters! Flexible Work Schedules : With business units and employees across the globe, Material Technologies has embraced a hybrid working model allowing department leaders to decide on the best approach for their respective teams, whether that be remote, in person, or a little of both. Material Bank is proud to be an equal opportunity employer. We value diversity, and all applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status or other status protected under any applicable federal, state or local law.

Job Description Job Description Lead / Principal Process ML Engineer Job Title: Lead / Principal Process ML Engineer Job Type: Full-time Location: San Diego, CA Summary We are building AI platforms that run on real factory floors, predicting, optimizing, and controlling manufacturing processes in real time. This role is needed to expand our process optimization capability - we need a technical leader who can own the full lifecycle of ML-driven process optimization products, from causal modeling to productization and customer deployment. Currently there is no dedicated technical lead for this product area, and growing customer demand requires a senior leader to set the technical vision and drive execution. Roles and Responsibilities Own the technical direction for key projects - set vision, define what to build, manage priorities, and be accountable for delivery Lead development of ML-driven process optimization products - from causal modeling to productization and customer deployment Make architecture decisions: select modeling approaches, define system boundaries, and evaluate trade-offs between physical fidelity, inference speed, and product constraints Define modeling strategy - decide which physics to encode, which architectures to use, and how to validate against real process data Drive architecture reviews and technical decision-making across the process optimization team Hire, mentor, and grow engineers - build a high-performing team through hiring, code reviews, and technical coaching Coordinate across HQ (Seoul) and overseas R&D labs - aligning research with product roadmaps across time zones Own production-grade delivery - models must run reliably inside equipment operating 24/7 on customer lines Requirements Doctorate (Ph.D.) Mechanical Engineering, Physics, Computer Science, Electrical Engineering, or a related field 8+ years of industry experience post-Ph.D. Proven track record of shipping process optimization or control products from problem definition through customer-facing deployment Experience leading a technical team - setting direction, managing delivery, and making architecture decisions Strong physics foundation (fluid dynamics, thermodynamics, heat transfer, mechanics) Strong ML skills (PyTorch, custom architectures, PINNs, neural operators, surrogate models) Ability to bridge physics and product - translate process understanding into model design and product features Comfort with ambiguity: able to define the problem and the approach, not just execute a spec Experience shipping ML-driven process optimization or control products in an industry setting Experience leading or managing a technical team (ML or applied science) Experience with production software systems - ML integration, data pipelines, deployment infrastructure Preferred Requirements Prior role as Tech Lead, Staff Engineer, or Team Lead in an ML or applied science team Experience productizing process optimization as a commercial product deployed on customer sites Hands-on manufacturing process experience - semiconductor, SMT, electronics assembly, or precision manufacturing Experience coordinating technical direction across distributed teams (HQ + overseas R&D) Published work in scientific machine learning, computational physics, or neural operators Experience with SPC, Cpk analysis, or 3D inspection/metrology systems Benefits • Health/Dental/Vision/Life Insurance at no employee premium (including dependent coverage) • 401K retirement plan with 5% matching • Generous PTO and paid holidays

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details

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

About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PI5810b4bf9b36-6921

About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PI7e7d82f519b2-6921

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). Preferred Qualifications: 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

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 Senior Technical Consultant (ServiceNow AI) DETAILS Location: Remote Travel: Up to 25% travel, as needed Position Type: 6M+ Contract Hourly / Salary: to $145W2+ (based on experience level) JOB SUMMARY Vaco is currently seeking multiple AI Senior Technical Consultants for a 6M+ Contract opportunity that will be remote. The AI Senior Technical Consultants will lead the end-to-end development of AI-enabled solutions across the ServiceNow platform utilizing capabilities such as Now Assist, AI Agents, Predictive Intelligence, AI Search, Agentic AI Workflows, and GenAI-powered automation. The AI Senior Technical Consultants will guide technical implementation efforts by mentoring Technical Consultants, partnering with Principal Technical Consultants and Solution Architects, and delivering secure, scalable AI solutions across ServiceNow product suites including ITSM, ITOM, ITAM, SecOps, IRM, CSM, HRSD, SPM, and ESM. The AI Senior Technical Consultants will translate business requirements into intelligent automation solutions by combining deep ServiceNow platform engineering expertise with applied AI technologies, enabling organizations to successfully adopt enterprise AI and agentic workflows. JOB REQUIREMENTS ServiceNow Platform Engineering Designing / Developing Enterprise Solutions on the ServiceNow Platform ServiceNow Product Expertise - ITSM / ITOM / ITAM / SecOps / IRM / CSM / HRSD / SPM / ESM ServiceNow Development (advanced / hands-on) - Scripting / Workflow Development / Flow Designer / AI Agent Configuration / Skill Development Building / Testing / Deploying Enterprise ServiceNow Solutions ServiceNow AI / Agentic AI Developing AI Solutions via Now Assist / AI Agents / Predictive Intelligence / AI Search / Agentic AI WFs Building Intelligent Automation Solutions Across the ServiceNow Platform AI Enablement Across Multiple ServiceNow Product Suites AI / GenAI Technologies GenAI / LLM Concepts / Prompt Engineering / AI Governance Developing AI-Driven Business Solutions via Modern AI Capabilities Responsible AI / Security / Governance Best Practices Platform Integration / Data Foundations Developing Integrations with Enterprise Apps / APIs / Enterprise Data Platforms / 3rd Party Technologies Building AI Solutions utilizing Enterprise Data Foundations Supporting Enterprise Workflow Automation / Cross-Platform Integrations Technical Leadership Leading Technical Development Activities Across Enterprise AI Projects Mentoring Technical Consultants / Junior Developers Partnering with Principal Technical Consultants / Solution Architects Translating Business Requirements into Secure / Governed / Scalable AI Solutions Collaboration / Communication Collaborating with Business Stakeholders / Architects / Cross-Functional Technical Teams Communicating Technical Solutions / Risks / Project Status Throughout Delivery Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. 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Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer? GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PI8e60c03ec5-