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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

Job description: Join an exciting FinTech/Payments company as it builds a new technology platform and business offering from the ground up. We seek Senior Full Stack Java Developers with 10-20 years of experience designing and delivering high-quality software products. These positions will consist of about 80% backend and 20% front-end. LOCATION REQUIREMENTS: Candidates must be based in the St. Petersburg, FL metro area (Tampa Bay) Please do not apply outside of these markets unless you are willing to relocate at your own expense. This is a hybrid role requiring work to be completed onsite three days per week (Tuesday, Wednesday, and Thursday). We seek software engineering professionals who: Lead through technical expertise rather than title. Have a passion for clean, maintainable, scalable software. Think architecturally while remaining pragmatic. Understand SOLID principles, Enterprise Integration Patterns, Design Patterns (Gang of Four), and Agile methodologies. Enjoy mentoring and developing engineers. Thrive in a fast-paced, collaborative environment where innovation is encouraged. OVERALL DUTIES: Part of a team to lead the architecture and design of a modern technology platform. Develop highly scalable, secure, cloud-native applications utilizing Java and the Spring ecosystem. Partner with executive leadership to align technical strategy with business objectives. Define software engineering standards, architectural patterns, and development best practices. Mentor and coach software engineers while fostering a collaborative engineering culture. Lead technical design reviews and provide architectural guidance across development teams. The current tech stack includes Java 25, React 19, Spring Boot 4.1, Spring Framework, Hibernate, REST APIs, PostgreSQL, Git, Maven, Claude Code, and AWS. Qualifications: Approximately 10-20 years of professional software engineering experience. Extensive experience designing and building enterprise Java applications. AI-enabled development experience Deep expertise with: Java Spring Boot and Spring Framework Hibernate REST APIs React Maven AWS Cloud Services (ECS/Fargate preferred) Strong understanding of distributed systems and cloud architecture. Experience designing highly available, scalable software platforms. PREFERRED: Payment processing or financial services technology PCI DSS v4 compliance SOC 2 Type II controls Secure software development Event-driven architecture RabbitMQ, Kafka, or JMS messaging Kotlin Building software within regulated environments U.S. Citizens or Green Card holders only, please. We are unable to accept 3rd party candidates, transfer a visa, or provide sponsorship. Why is This a Great Opportunity: You will join a small yet dynamic and growing technology company providing credit card/debit card payment processing services. The company will also be designing and developing a payment gateway. The leadership team has deep experience in the payments industry.

Job description: We are looking for an experienced Firmware Engineer to contribute to the development of products on our Research and Development Division in Herndon VA. As part of our R&D division, you would join our firmware team to develop, integrate, and test our firmware products in our spaced-based, electro-optical systems. Essential Job Duties Lead and contribute to firmware architecture and implementation for space-based electro-optical payloads and laser systems Perform end-to-end firmware development lifecycle: from requirements analysis through design, coding, simulation, verification, and validation Collaborate closely with hardware, systems, software, and optical engineers in cross-functional teams to define interfaces, resolve design issues, and ensure seamless system integration Participate in task-based iterative development cycles, incorporating rapid feedback, frequent integration points, and incremental testing to meet mission reliability goals Conduct lab-based debugging, hardware-in-the-loop testing, and system-level validation using diagnostic tools and protocols Support peer code reviews, knowledge sharing, and continuous improvement of development processes and best practices Apply high-reliability and space-grade techniques (e.g., fault tolerance, radiation mitigation) in a collaborative, team-oriented environment Contribute to documentation, design reviews, and risk identification throughout the product lifecycle Job Requirements Experience and Expertise Required 7+ years relevant experience BS/MS in EE or equivalent Expertise with firmware engineering, VHDL (RTL), System Verilog (Testing) Expertise with Digital Signal Processing, precision timing, optical comms (modems), LIDAR Experience with Xilinx, Microchip, and Lattice FPGAs and their associated development tools Experience developing test benches and running simulations to exercise the design and to verify compliance Experience interfacing and working with hardware designers during development, integration, and test phases Experience using schematics and block diagrams as inputs for firmware design Experience in high-speed serial links: GTY/GTM, JESD204B/C, Ethernet, SpaceWire Experience in standard peripheral interfaces: SPI, I2C, UART, LVDS, etc. Experience in memory interfaces: DDR3/4, QDR, FRAM, etc. Experience with GitHub, CI/CD for FPGA flows, code reviews, automated linting, synthesis, regression testing, timing closure, bitstream generation, release tagging Bonus Areas Experience in Python for build/testing automation and data analysis Experience with Linux, scripting, Docker containers, and automation Experience developing Hi-Rel/Space programs and TMR coding Experience developing code (C, C++) for microcontrollers Experience with VS Code We are a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. Qualifications: Job Requirements Experience and Expertise Required 7+ years relevant experience BS/MS in EE or equivalent Expertise with firmware engineering, VHDL (RTL), System Verilog (Testing) Expertise with Digital Signal Processing, precision timing, optical comms (modems), LIDAR Experience with Xilinx, Microchip, and Lattice FPGAs and their associated development tools Experience developing test benches and running simulations to exercise the design and to verify compliance Experience interfacing and working with hardware designers during development, integration, and test phases Experience using schematics and block diagrams as inputs for firmware design Experience in high-speed serial links: GTY/GTM, JESD204B/C, Ethernet, SpaceWire Experience in standard peripheral interfaces: SPI, I2C, UART, LVDS, etc. Experience in memory interfaces: DDR3/4, QDR, FRAM, etc. Experience with GitHub, CI/CD for FPGA flows, code reviews, automated linting, synthesis, regression testing, timing closure, bitstream generation, release tagging Bonus Areas Experience in Python for build/testing automation and data analysis Experience with Linux, scripting, Docker containers, and automation Experience developing Hi-Rel/Space programs and TMR coding Experience developing code (C, C++) for microcontrollers Experience with VS Code We are a leading developer of laser and electro-optic systems for the aerospace community, with key contributions to lasers for atmospheric sensing, laser communications, and lidar sensors for NASA, DoD, and commercial customers. Why is This a Great Opportunity: We are looking for an experienced Firmware Engineer to contribute to the development of products on our Research and Development Division in Herndon VA. As part of our R&D division, you would join our firmware team to develop, integrate, and test our firmware products in our spaced-based, electro-optical systems. Salary Type : Annual Salary Salary Min : $ 140000 Salary Max : $ 210000 Currency Type : USD

Description: Company Overview At Opus IVS, our mission is to drive advancement in the automotive industry by assisting customers with complex vehicle repairs. Guided by our core values of Customer Focus, Innovation, Collaboration & Teamwork, and a Results-Driven approach, we continually strive to develop advanced technology that empowers us to fulfill our mission. Opus IVS technology & products has been a leader in the industry since the late 90's. Opus IVS offers modern collision shops an integrated platform of leading diagnostics and calibration solutions, anchored by expert technicians and cutting edge, patented technology. Position Summary The Senior Hardware Engineer will help develop state of the art vehicle diagnostic equipment and communication devices. This individual will work directly with Opus IVS's various technology departments to develop world-class diagnostic tools that meet and exceed our customers' needs. Responsibilities: Develop new embedded automotive diagnostic pass-thru products (PC boards and firmware). Build diagnostic systems including PC hardware, vehicle communication hardware, and battery management hardware. Develop new products/devices, features, and improve quality for new and existing hardware, firmware, and software. Improve code quality through writing unit tests, automation and performing code reviews. Design and develop product and protocol validation tests. Build product tools using C, C++, & C#. Test new designs and find solutions to issues. Create test systems for the new products. Implement new vehicle protocols and create test suites to confirm their operation. Interface with customers to collect information on the performance of our products. Other duties as assigned. Skills & Abilities : Customer Focus: Ability to understand and respond to the needs of customers with professionalism and care. Innovation: Ability to generate and apply creative ideas that improve work processes or add value. Collaboration & Teamwork: Ability to build cooperative relationships and contribute to group success. Results Driven: Ability to maintain a strong focus on achieving goals and delivering impactful results. Technical Aptitude: Ability to understand and use specific tools, systems, or technologies relevant to the role. Detail Oriented: Ability to focus on details, ensuring accuracy and precision in work tasks. Analytical Thinking: Ability to examine data and issues logically to draw insightful conclusions. Requirements: Qualifications: Bachelor's Degree in Hardware Engineering or related field; or equivalent experience plus education/training 7+ years' experience in hardware design or development Experience developing products using the ARM family of processors Strong understanding of electronic design for EMC / EMI compliance Strong knowledge of hardware design and components including MPUs, UART, CAN, LIN, A/D, D/A converters, RAM/Flash memories, and other digital electronics Experience with designing processors, power supplies, communication, analog, and digital electronic circuits Strong knowledge and experience of C, C++, and C# programming languages Ability to debug electronic circuits Ability to solder surface mount components onto a PC board Has knowledge about OBD (On Board Diagnostics) Experience with batteries and battery maintenance circuits Familiar with the SAE J2534 specification Some experience with USB, Bluetooth, and Wi-Fi connections Knowledgeable of Automotive diagnostic protocols Familiarity with Jira and Confluence WHAT WE OFFER: Competitive Pay: We know your value and we're not afraid to pay for it. We offer a competitive total compensation plan including salary, bonuses, tuition reimbursement, and a match contribution to your 401k. Time Off: Besides our competitive paid time off package, employees receive paid holidays and floating holidays. Benefits: We offer a comprehensive benefits package, including all the necessities such as medical, dental, and vision. Opportunity: to be a part of a fast-growing company working to make the world safer! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other characteristic protected by state, federal, or local law. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of the job, the employee is regularly required to use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; talk or hear. The employee frequently is required to stand, walk and sit. The employee is occasionally required to stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and the ability to adjust focus. The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Compensation details: 00 Yearly Salary PI1a60726f76cb-0987

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 Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. 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 . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Design Expert Job Type: Contractor Location: Remote Schedule: Flexible / Self-Directed Job Overview We are seeking senior Product Design and AI-Assisted Development Experts to create evaluation tasks for AI systems working across rapid prototyping, product design, and human-AI collaboration. Experts may contribute to either or both tracks: Vibecoding: AI-assisted software development, natural-language-to-code workflows, and rapid prototyping. Design: Product design, UX/UI, design systems, component libraries, research, and usability. No formal credential is required; demonstrated expertise and shipped work are highly valued. Key Responsibilities Create realistic scenarios covering rapid prototyping, iteration, design systems, and product-design-engineering collaboration . Develop tasks involving AI coding tools such as Cursor, Claude Code, v0, and Replit . Create Design-track tasks using Figma, Framer, prototyping tools, and design-system platforms . Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping methodologies. Produce reference prototypes, code artifacts, design specifications, and usability evaluation reports. Develop detailed rubrics that distinguish senior-level product judgment from generic or template-driven work. Collaborate on task refinement and evaluation standards. Required Skills Product Design UX/UI Design Rapid Prototyping Design Systems Vibecoding / AI-Assisted Development Human-Centered Design User Research & Usability Testing Figma / Prototyping Tools Design Critique Product Judgment AI-Assisted Coding Evaluation & Rubric Development Preferred Qualifications 5+ years of experience as a product designer, design lead, or AI-native engineer/vibecoder. Experience at a product- or design-focused company, startup, or notable independent product. Direct ownership of shipped product designs, design systems, or AI-assisted development workflows . Strong fluency with relevant design or AI development tools. Portfolio of shipped work strongly preferred. Experience creating rubrics, training materials, design critiques, or evaluation frameworks is a plus. Contract & Payment Independent contractor engagement. Fully remote with a flexible schedule. Project duration may vary based on business needs and performance. Weekly payments via Stripe or Wise based on services rendered. Screening Questions How many years of product design, UX/UI, or AI-assisted development experience do you have? Which track do you specialize in: Vibecoding, Design, or both ? What products, design systems, or AI-assisted workflows have you shipped? Which tools do you use regularly (e.g., Figma, Framer, Cursor, Claude Code, v0, Replit)? Do you have a portfolio of shipped work? What experience do you have creating design critiques, rubrics, or evaluation frameworks? How soon can you start?