27 jobs found in Alpine

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Chemistry PhD Coding Experts Type: Contract Compensation: $70/hour Location: Remote Duration: 6 weeks Commitment: 20+ hours/week Role Responsibilities Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios. Write scientific prompts based on the input to challenge current AI models. Build grading criteria that define correct answers for scientific tasks. Calibrate tasks against frontier models, ensuring they are challenging for strong models. Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field. Demonstrated depth in both quantum chemistry and computational chemistry . Working proficiency in Python , R , or another relevant programming language for scientific computing. Comfortable with Git/GitHub and running code in Docker . Preferred Publications in peer-reviewed journals. Prior scientific software or research engineering experience. Start Date Immediate Application Process (Takes 20-30 mins to complete) Upload resume and application form A 25-minute conversational interview covering your background, experience, and motivations Follow up within a few days with next steps and onboarding Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. 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) . click apply for full job details

Job Description Job Description Start date - ASAP - Candidate MUST be local to San Diego Area! Why Work Here? FaceTec is the world leader in 3D Face Authentication software; anchoring digital identity, creating trust, and stopping fraud on any smart device, in any country. As digital transformation has accelerated, the need for Liveness Detection and Face Verification AI is growing faster than ever before. Joining FaceTec is your opportunity to play a major role in the global digital identity revolution and work with the most forward thinking brands and government agencies. Who This Role is For Diligence, curiosity and tenacity are must haves for aspiring biometric security R&D experts. You will thrive in this role if: You take immense pride in contributing something provably good for other people. You care deeply about quality, and how Users feel when using technology you helped to develop. You feel energized when learning the technical details of complex systems, and when proving or disproving those details. You are intrigued and excited to learn more after reading . Job Roles FaceTec is seeking a Software Quality Assurance (QA) Tester in the San Diego Area. This position requires a team player that is proactive and passionate about ensuring the quality of software deliverables, and can communicate what is required to achieve this effectively. This role will work with FaceTec Software Developers and other Testers to accurately create and execute a broad range of testing. Your will be responsible for testing FaceTec Products and Internal Tools, reporting issues, using Bug Tracking software, reproducing reported issues, writing and improving product specs and documentation, and overall ensuring a World Class Product! You will be testing Android, iOS, and Browser Apps across a wide range of devices. Must have 2-5+ Years Experience Testing Software. Job Functions Author and execute mostly manual test cases to ensure product requirements are met. Ensure complete and timely reporting on bugs and test results. Ensures quality integration into the overall functions of software development and product/tool features. Provides quality support for software project teams throughout the software lifecycle, from design through launch. Analyzes test results to ensure existing functionality and requirements are met, and if necessary, recommends corrective action. Identify bugs, file bugs using Bug Tracking software, and validate fixes. Requirements Bachelor's Degree MUST have EXTREMELY HIGH attention to detail. MUST be EXTREMELY quick on a computer, hotkeys, typing, etc. This is a MUST! MUST have STRONG ANALYSIS skills. MUST be comfortable performing manual testing as a primary job function. Knowledge of mobile app technologies. Clear and concise verbal and written communication skills. Experience with implementing regression testing for software. Knowledge of Agile Development methodologies. Nice To Have Bachelor's Degree in a technical domain. Familiarity with MacOS, Visual Studio Code, Xcode, iOS and Android Apps. HTML, CSS, Javascript, and Database skills are a plus. Any other programming experience is a plus. More Information For more information please visit & Interested? Please submit your resume and we will contact you! About FaceTec, Inc.: Company Description Company Description

Job Description Job Description Senior RF Antenna Technician Location: San Diego, CA (On-site) Position Type: Full-Time Compensation: $80,000-$115,000+ DOE. Relo to beautiful sunny San Diego a possibility. About the Opportunity Our client is an established engineering and technology company developing advanced RF and wireless hardware. They are seeking an experienced Senior RF Technician to support the development, testing, and optimization of sophisticated RF systems. This position is ideal for someone who enjoys hands-on work in a laboratory environment and has extensive experience building, testing, troubleshooting, and refining RF hardware while collaborating closely with engineering teams. Responsibilities As a Senior RF Technician, you will provide technical leadership in the assembly, testing, and validation of RF hardware throughout the product development cycle. Responsibilities include: Build, modify, tune, troubleshoot, and validate RF hardware and prototype assemblies. Perform RF measurements using Vector Network Analyzers, spectrum analyzers, signal generators, power meters, and other laboratory equipment. Support engineers with prototype development, design verification, and performance optimization. Assist in evaluating RF performance and documenting test results for engineering review. Troubleshoot hardware issues to component level and recommend corrective actions. Support integration of RF assemblies into larger electromechanical systems. Maintain calibration standards, test procedures, and laboratory equipment. Coordinate laboratory activities while mentoring less experienced technicians as needed. Work closely with engineering, manufacturing, and quality teams to support product development and production readiness. Minimum Qualifications 10+ years of hands-on experience testing, troubleshooting, and supporting RF hardware (15+ years preferred). Associate degree in Electronics, Electrical Engineering Technology, or a related technical discipline, or equivalent industry experience. Extensive experience using: Vector Network Analyzers (VNA) Spectrum Analyzers Signal Generators Oscilloscopes Standard RF laboratory equipment Strong understanding of RF measurements, impedance matching, calibration techniques, and troubleshooting methodologies. Experience supporting prototype development in a collaborative engineering environment. Excellent communication skills and the ability to work effectively across multidisciplinary teams. U.S. Citizenship with the ability to obtain and maintain a U.S. Security Clearance. Preferred Qualifications Experience supporting antenna, microwave, or other RF subsystem development. Familiarity with electromagnetic simulation tools such as HFSS, CST, ADS, or similar software. Experience with RF PCB troubleshooting and hardware debugging. Exposure to high-frequency communications, wireless systems, aerospace, defense, or other high-reliability electronic products. Experience documenting test procedures and supporting engineering validation activities. Compensation & Benefits Base Salary: $80,000-$100,000+ DOE Comprehensive medical, dental, vision, retirement, paid time off, and professional development benefits. Why Apply? This opportunity offers the chance to work alongside experienced RF engineers on technically challenging hardware development projects in a collaborative laboratory environment. You'll have significant hands-on involvement throughout the development lifecycle while helping bring innovative RF technologies from concept through validation.

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 Are you a passionate and innovative aerospace engineering leader looking to develop next-generation autonomous aircraft? Are you eager to make a positive difference in the world and work alongside mission-driven, values-focused teammates? Shield AI is just the place for you. As the Air Vehicle Lead for a new aircraft program you will serve as the senior technical leader responsible for the design, development, integration, and maturation of the air vehicle. You will own the technical integrity of the aircraft and lead the multidisciplinary engineering effort required to take the vehicle from requirements and architecture through detailed design, build, ground test, flight test, and production. This is a highly technical, hands-on leadership role. You will work across aerodynamics, flight sciences, structures, mechanical systems, propulsion, avionics, electrical systems, flight controls, manufacturing, and test to ensure the aircraft performs as an integrated system. You will be expected to make difficult technical trades, challenge assumptions, manage risk, and drive the team toward simple, robust solutions at speed. What you'll do: Own the Air Vehicle: Serve as the technical leader for the aircraft, with responsibility for overall vehicle architecture, technical performance, integration, and design integrity throughout the development lifecycle. Lead Multidisciplinary Engineering: Provide technical direction across aerodynamics and flight sciences, structures, mechanical systems, propulsion, avionics, electrical systems, flight controls, and other air vehicle disciplines. Drive System-Level Trades: Lead first-principles engineering trades across performance, weight, range, payload, cost, reliability, manufacturability, schedule, and technical risk. Ensure subsystem decisions optimize the aircraft as a whole rather than individual components. Lead Design Execution: Drive the aircraft from requirements and conceptual design through preliminary and critical design, hardware release, build, integration, ground test, and flight test. Establish clear technical priorities and rapidly resolve issues that threaten program execution. Stay Hands-On: Remain deeply engaged in the engineering work. Participate directly in design reviews, technical problem solving, root-cause investigations, test activities, and critical design decisions. Own Technical Risk: Identify the technical problems most likely to prevent mission success and drive them to closure. Establish appropriate engineering rigor while balancing analysis, test, schedule, and speed. Build-Test-Learn: Create a rapid development environment that uses prototypes, ground testing, flight testing, and real-world data to retire risk and continuously improve the aircraft. Drive Integration: Ensure interfaces between structures, propulsion, avionics, flight controls, payloads, software, and other systems are understood, controlled, and successfully integrated. Design for Production: Partner closely with Manufacturing, Supply Chain, Quality, and Operations to ensure the aircraft can transition from development into repeatable production. Drive designs that balance performance with producibility, cost, reliability, and maintainability. Lead Suppliers and Partners: Provide technical leadership for critical suppliers and externally developed systems, ensuring supplier designs and hardware meet aircraft-level requirements and program objectives. Set the Engineering Standard: Establish a culture of technical ownership, first-principles thinking, urgency, disciplined engineering judgment, and accountability. Mentor engineers and technical leaders while raising the overall technical capability of the program. Required qualifications: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Master's degree or higher preferred. 15+ years of relevant aircraft development experience , including significant technical leadership responsibility on complex aerospace programs. Demonstrated experience leading the development of an air vehicle or major aircraft system through multiple phases of the development lifecycle , ideally including design, build, integration, ground test, flight test, and production. Broad technical understanding of aircraft development with demonstrated ability to make informed trades across multiple disciplines such as aerodynamics, structures, propulsion, flight controls, avionics, mechanical systems, and vehicle integration . Proven ability to operate as a hands-on technical leader , diving deeply into engineering problems while simultaneously maintaining system-level perspective. Demonstrated record of making difficult technical decisions with incomplete information, identifying the highest-value risks, and driving teams toward solutions at speed. Strong understanding of aircraft design principles, system integration, verification and validation, and the relationship between engineering decisions and aircraft-level performance. Experience partnering closely with manufacturing and suppliers to transition complex aerospace hardware from development into production. Demonstrated track record of taking ownership of complex development efforts and delivering hardware , navigating technical challenges and development cycles to achieve program milestones. Ability to obtain and maintain the security clearance required for the program A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and treating others with kindness and respect. 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 Job Description Are you a passionate and innovative aerospace engineering leader looking to develop next-generation autonomous aircraft? Are you eager to make a positive difference in the world and work alongside mission-driven, values-focused teammates? Shield AI is just the place for you. As the Air Vehicle Lead for our new Air Force Ranger program, you will serve as the senior technical leader responsible for the design, development, integration, and maturation of the air vehicle. You will own the technical integrity of the aircraft and lead the multidisciplinary engineering effort required to take the vehicle from requirements and architecture through detailed design, build, ground test, flight test, and production. This is a highly technical, hands-on leadership role. You will work across aerodynamics, flight sciences, structures, mechanical systems, propulsion, avionics, electrical systems, flight controls, manufacturing, and test to ensure the aircraft performs as an integrated system. You will be expected to make difficult technical trades, challenge assumptions, manage risk, and drive the team toward simple, robust solutions at speed. What You'll Do Own the Air Vehicle: Serve as the technical leader for the aircraft, with responsibility for overall vehicle architecture, technical performance, integration, and design integrity throughout the development lifecycle. Lead Multidisciplinary Engineering: Provide technical direction across aerodynamics and flight sciences, structures, mechanical systems, propulsion, avionics, electrical systems, flight controls, and other air vehicle disciplines. Drive System-Level Trades: Lead first-principles engineering trades across performance, weight, range, payload, cost, reliability, manufacturability, schedule, and technical risk. Ensure subsystem decisions optimize the aircraft as a whole rather than individual components. Lead Design Execution: Drive the aircraft from requirements and conceptual design through preliminary and critical design, hardware release, build, integration, ground test, and flight test. Establish clear technical priorities and rapidly resolve issues that threaten program execution. Stay Hands-On: Remain deeply engaged in the engineering work. Participate directly in design reviews, technical problem solving, root-cause investigations, test activities, and critical design decisions. Own Technical Risk: Identify the technical problems most likely to prevent mission success and drive them to closure. Establish appropriate engineering rigor while balancing analysis, test, schedule, and speed. Build-Test-Learn: Create a rapid development environment that uses prototypes, ground testing, flight testing, and real-world data to retire risk and continuously improve the aircraft. Drive Integration: Ensure interfaces between structures, propulsion, avionics, flight controls, payloads, software, and other systems are understood, controlled, and successfully integrated. Design for Production: Partner closely with Manufacturing, Supply Chain, Quality, and Operations to ensure the aircraft can transition from development into repeatable production. Drive designs that balance performance with producibility, cost, reliability, and maintainability. Lead Suppliers and Partners: Provide technical leadership for critical suppliers and externally developed systems, ensuring supplier designs and hardware meet aircraft-level requirements and program objectives. Set the Engineering Standard: Establish a culture of technical ownership, first-principles thinking, urgency, disciplined engineering judgment, and accountability. Mentor engineers and technical leaders while raising the overall technical capability of the program. Required qualifications: Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline. Master's degree or higher preferred. 15+ years of relevant aircraft development experience , including significant technical leadership responsibility on complex aerospace programs. Demonstrated experience leading the development of an air vehicle or major aircraft system through multiple phases of the development lifecycle , ideally including design, build, integration, ground test, flight test, and production. Broad technical understanding of aircraft development with demonstrated ability to make informed trades across multiple disciplines such as aerodynamics, structures, propulsion, flight controls, avionics, mechanical systems, and vehicle integration . Proven ability to operate as a hands-on technical leader , diving deeply into engineering problems while simultaneously maintaining system-level perspective. Demonstrated record of making difficult technical decisions with incomplete information, identifying the highest-value risks, and driving teams toward solutions at speed. Strong understanding of aircraft design principles, system integration, verification and validation, and the relationship between engineering decisions and aircraft-level performance. Experience partnering closely with manufacturing and suppliers to transition complex aerospace hardware from development into production. Demonstrated track record of taking ownership of complex development efforts and delivering hardware , navigating technical challenges and development cycles to achieve program milestones. Ability to obtain and maintain the security clearance required for the program A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and treating others with kindness and respect. 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 ABOUT US E-commerce got real-time data infrastructure decades ago. Physical stores still have not. RADAR is changing that. RADAR is building the data infrastructure layer for the physical world, starting with retail. Our hardware-enabled SaaS platform uses proprietary overhead sensors, software, and AI-powered analytics to locate every product in a store, continuously, down to the fixture. We are deployed across 1,500+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale. RADAR is one of the best-funded companies in retail technology, backed by a recent Series B financing at a $1 billion valuation. Inventory accuracy is only the beginning. We believe RADAR can become foundational infrastructure for the physical economy, powering new AI-driven commerce experiences across retail and beyond. Join us if you want to work on a large, unsolved, technically challenging problem with an ambitious team building category-defining technology. OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue-everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB We're looking for a Staff iOS Engineer to shape Radar's mobile and cross-platform technical strategy and influence engineering direction well beyond the iOS team. We're redesigning and rebuilding our mobile apps from the ground up, and you'll be the technical leader shaping it. This is a senior individual contributor role with no formal management duties. You'll lead through deep technical expertise, sound judgment, and influence. You'll work with significant autonomy to set long-term architecture, drive innovation, and guide major cross-functional initiatives with product, design, Android, platform, and backend leaders. You'll stay hands-on in the code while multiplying the impact of engineers across the organization. Responsibilities: Define the multi-year mobile architecture and technical strategy. Co-lead cross-platform strategy, including shared code and Kotlin Multiplatform adoption, in partnership with Android and backend leaders. Drive innovation by finding new technical bets and platform capabilities that open up product opportunities. Guide major cross-functional initiatives across mobile, platform, and backend teams from concept to measurable outcome. Stay hands-on: design and build the most complex, highest-leverage parts of the iOS codebase in Swift and SwiftUI. Set engineering standards for architecture, quality, performance, and reliability, and get them adopted across teams. Mentor Staff and Senior engineers and help grow Radar's next generation of technical leaders. Help drive the technical vision and architecture as we rebuild Radar's mobile apps, a rare chance to define the foundation of our next-generation product. Plan and drive the migration of existing customers from legacy apps to the new app, keeping the experience smooth and low-risk with minimal disruption. Keep supporting and improving Radar's legacy products, balancing their stability and customer needs against investment in the new platform. ABOUT YOU Required : You have extensive experience building and shipping iOS applications, including setting the technical direction for large-scale, widely used apps. You have deep expertise in Swift, SwiftUI, UIKit, and Apple platform internals, including concurrency, performance, and memory management. You have set technical strategy across multiple teams or an organization, with clear influence on product and business outcomes. You have led major, multi-quarter initiatives across functions and delivered measurable results. You are able to define your own priorities and problem space with little direction, and you work with a high degree of autonomy. You are skilled at influencing without authority and can get senior engineers and leaders aligned on complex technical decisions. You are an excellent communicator who explains complex tradeoffs clearly to technical and non-technical audiences. You are a proven mentor to senior engineers and a multiplier who raises the bar for everyone around you. You are energized by ambiguity and high ownership in a fast-moving startup. Preferred: You have worked as a Staff+ engineer, or in an equivalent technical leadership role, at a company through a period of significant scale. You have led a major app rewrite or re-platforming and migrated existing users to it successfully. You have hands-on experience with Kotlin Multiplatform or other cross-platform code-sharing approaches on iOS. You have experience with modular app architecture, and build-system optimization You have shipped features using newer Apple capabilities such as widgets, Live Activities etc. You are passionate about design detail, accessibility, and delightful user experiences. You have experience developing and shipping a configurable UI You have experience building iOS apps on gRPC and Protocol Buffers, including API contract design, streaming, and network performance tuning. WHAT YOU'LL DO In your first 30 days, you will: Learn Radar's mission, technology stack and core values. Complete onboarding and security compliance training. Meet engineering, product, design, and leadership stakeholders to understand company priorities, and ship your first production change. In your first 60 days, you will: Get familiar with Radar's legacy apps: their architecture, customer usage, and technical debt. Make significant contributions to a feature in the rebuilt app. Lead architecture and design reviews and begin mentoring Staff and Senior engineers. In your first 90 days, you will: Deliver measurable progress on the rebuild, with core foundations in place and the team building on them. Contribute to a new feature in the legacy app, keeping it valuable to customers. Get engineering standards and best practices adopted across multiple teams. Become a go-to technical authority across Radar whose input shapes key product and engineering decisions. At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $172,000 - $250,000 . Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training. You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Job Description Job Description Staff Engineer - CPU design, RTL development Experience: 4-10 years Location: San Diego, CA Job Summary Qualcomm is seeking a highly skilled Staff Engineer with strong experience in CPU design, RTL development, and/or Physical Design (PD) to work on next-generation high-performance, low-power SoCs and CPU architectures. The ideal candidate will have hands-on experience in ASIC/SoC development, strong understanding of CPU microarchitecture and digital design, and the ability to work across RTL, synthesis, physical implementation, timing, power, and area optimization. The engineer will collaborate closely with Architecture, RTL, Design Verification, Physical Design, DFT, CAD, Power, and Post-Silicon teams. Key Responsibilities Design and optimize high-performance CPU/SoC blocks from microarchitecture through RTL and physical implementation. Develop, review, and refine Verilog/SystemVerilog RTL. Participate in microarchitecture definition and design trade-offs targeting Power, Performance, and Area (PPA). Work closely with Physical Design teams on synthesis, floorplanning, placement, CTS, routing, timing closure, and signoff. Analyze and resolve timing, congestion, power, area, and design-closure issues. Support RTL-to-GDS implementation and identify RTL changes required for physical convergence. Perform or support STA/MMMC analysis, constraint development, and timing optimization. Collaborate with verification teams on functional verification, coverage, debugging, and design quality. Work with DFT, CAD, and implementation teams to resolve complex design issues. Develop automation and productivity solutions using Python, Tcl, Perl, or Shell. Participate in design reviews and provide technical leadership on critical design problems. Mentor junior engineers and contribute to methodology and flow improvements. Required Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. 4-10 years of experience in ASIC/SoC, CPU, RTL, or Physical Design. Strong understanding of digital design and ASIC development flows. Hands-on experience with Verilog/SystemVerilog . Strong understanding of CPU/microprocessor architecture is highly preferred. Experience with one or more of: RTL design Logic design Synthesis Physical Design Static Timing Analysis Timing closure PPA optimization SoC integration Experience working in Linux/Unix environments. Strong scripting/programming skills in Python, Tcl, Perl, or Shell. Strong debugging, analytical, and problem-solving skills. Preferred Qualifications CPU / RTL Experience with CPU pipeline architecture, including Fetch, Decode, Rename, Execute, Load/Store, Cache, MMU, or Branch Prediction. Experience with out-of-order execution, memory hierarchy, or processor microarchitecture. Strong RTL coding and microarchitecture implementation experience. Knowledge of CDC, lint, synthesis, formal verification, and low-power design. Physical Design Experience with complete RTL-to-GDSII flow. Floorplanning, power planning, placement, CTS, routing, and timing closure. Experience with Cadence Innovus and/or Synopsys Fusion Compiler. Experience with PrimeTime STA. MMMC timing analysis and advanced-node implementation. Experience with IR drop, EM, signal integrity, crosstalk, ECOs, and physical verification. Knowledge of UPF and low-power implementation.

Job Description Job Description Title: Lead Hardware Engineer Term: Long-Term Contract/Perm Location: San Diego, Ca, Irvine, Ca, Los Angeles, Ca, Virginia Start Date: ASAP Required: US Citizen or Green Card Holder Only Experience designing high-speed digital boards (>1GHz signals) with DDR, FPGAs, Networking, etc. Experience with Altium schematic capture Experience with EMC mitigation techniques and testing Signal Integrity simulation experience. Power Integrity simulation experience A Plus! Some experience with FPGA design and toolsets A Plus! Quality candidates will have experience with: Bringing up circuit boards. With technical equipment such as but not limited to power supplies, function generators, DMMs, Oscilloscopes with specialized probes. Working in a professional laboratory setting. With test execution, including test case generation, execution, and reporting. Debugging and problem-solving skills to identify root causes and provide detailed analysis. Knowledge of verification methodologies and standards relevant to the space industry. Requirements Additional Requirements: Verilog / VHDL/SystemVerilog/Vitis, Versal Experience with latest versions of some Xilinx / Altera devices such as: Kintex, Artix, Zynq, Cyclone V, Cyclone V SoC, Stratix, Arria Experience with Vivado and/or latest version of Quartus Schematic Capture with OrCAD, DxDesigner, or Altium Use of signal integrity tools such as HyperLynx a plus Benefits A2e Technologies is an equal opportunity employer and federal contractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, protected veteran status, or any other characteristic protected by applicable law. If you are a qualified individual with a disability or a protected veteran and need a reasonable accommodation to complete any part of the application process, please contact . No Recruiters Please A2e Does NOT work with Staffing Firms, A2e Does NOT Accept Unsolicited Resumes, A2e will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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 Hivemind Enterprise Team is seeking a Senior Application Security Engineer for our Hivemind Enterprise product. The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms. Hivemind Enterprise is a highly technical software product providing tools and user interfaces to support multiple user personae, ranging from AI developers to test engineers. What you'll do: As an application security engineer for Hivemind you will join our cybersecurity engineering team to help define our application security policies, deploy and configure scanning tools within our CI/CD pipelines, review scanning results and work directly with our developers to identify and fix security issues in or code. In addition, you will have the opportunity to help solve security issues before they start by working with our architecture team to design a secure-by-default software product, performing threat modeling, and validating designs meet our secure coding standards. Required qualifications: Bachelor's degree with approximately 5+ years of relevant experience, or Master's degree with approximately 4+ years of relevant experience, in cybersecurity, software engineering, or a closely related technical field Experience developing or testing cyber secure code Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes Familiarity with threat modeling Experience with software analysis tools, including static analysis, dynamic analysis, dependency mapping, CVE scanning, etc. Comfortable working in a Linux development environment Strong organizational, communication, and cross-functional collaboration skills Basic understanding of key cryptography concepts Preferred qualifications: Previous experience on an application security team for a large, complex software product Experience as a DevSecOps engineer, especially in a GitLab environment Experience writing software or testing Python, C/C++, and/or Go Red-teaming experience Software reverse engineering skills 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 Strata Information Group (SIG) is a trusted leader in higher education technology consulting, supporting colleges and universities with ERP/SIS modernization, digital transformation, CRM, cybersecurity, and strategic advisory services. As a long standing and deeply embedded partner within the higher education sector, SIG brings together technical depth, operational insight, and a culture rooted in integrity, collaboration, and exceptional client service. Our heritage is built on hands on expertise, genuine relationships, and a commitment to delivering value with humility and excellence-values that continue to define us as we scale. Position Summary We're seeking a versatile and self-directed Colleague ERP Technical Consultant to support, enhance, migrate, and integrate Ellucian's Colleague ERP systems for our clients. This role is ideal for professionals with strong skills in either programming or system administration/integration -along with a willingness to expand into the other area. You'll collaborate directly with clients to understand their needs, configure solutions, and provide ongoing technical support. The position offers two primary paths of specialization: 1. Programming and Development Focus Ideal for candidates with experience in Colleague programming, especially using Envision and UniBasic. Familiarity with or a willingness to learn modern tools such as JavaScript and React for Ellucian Experience SDK card development is highly valued. 2. System Administration and Integration Focus Suited for professionals skilled in system administration, integrations, and managing Colleague environments. Experience with release management, API configuration, and light Envision/UniBasic programming is a plus. Full and Part-Time opportunities are available. Key Responsibilities Implementation and Configuration : Collaborate with and assist clients with implementing Colleague software suite and connected applications. Client Consultation : Engage with clients to understand their specific requirements, provide recommendations, and ensure that solutions align with their business processes. Technical Support: Provide ongoing technical support and troubleshooting for the Ellucian Colleague system, resolving issues promptly and efficiently. Project Management : Manage multiple project timelines and deliverables, setting priorities and ensuring that all milestones are met and client expectations are exceeded. Troubleshoot: Offer innovative solutions to clients' technical requests on their Colleague software suite. Required Qualifications: Ellucian Colleague Knowledge : Strong understanding of Colleague's functional and technical aspects, with the ability to configure, extend, and integrate system capabilities effectively. Programming Expertise (if applicable): Ability to work with or learn Envision and UniBasic for Colleague programming Ability to work with or learn JavaScript, React, PostgreSQL, etc. for Ellucian Experience, Data Connect, Insights and others. Understanding of APIs, JSON, XML and other next generation technologies and data mappings. System Administration & Environment Management (if applicable): Experience with Colleague system administration, setup, and proactive monitoring. Proficient in managing system backups, updates, and new release installations. Experience with Colleague release installations, updates, and troubleshooting, ensuring smooth version transitions. Ellucian Self-Service and Core Tools : Proficiency in Colleague Self-Service, Envision, Workflow, ELF programming, and Colleague Studio. Customer-Centric Problem-Solving : Strong communication skills with a customer-service approach, capable of translating technical issues into clear, actionable terms for users. Troubleshooting and Support : Ability to diagnose and resolve complex technical and functional Colleague issues. Preferred Qualifications Data Conversion and Migration : Hands-on experience with data migration/conversion processes geared towards SaaS migrations. SQL Proficiency : Advanced skills in SQL for data queries, manipulation, and reporting. API Integrations : Proficiency in configuring and troubleshooting API integrations (REST, SOAP). Cloud and SaaS Solutions : Experience with cloud technologies (e.g., Azure, AWS) and SaaS deployments. Single Sign-On (SSO) : Experience with SSO implementation (SAML, OAuth). Ethos Tools Expertise : Ellucian Experience : Custom card development, UI enhancements. Data Connect : Creation and management of integration pipelines. Intelligent Processes : Automated workflows to streamline processes. Insights : Leveraging data insights for decision-making. Intelligent Learning Platform (ILP) : Integration with learning management systems. Travel Requirements : Willingness to travel up to 10% for on-site support and client engagement Pay and Benefits (Full Time) The salary range is $90,000 to $120,000 + Annual Bonus Health, Vision, Dental & Life Insurance Short & Long Term Disability Paid Parental Leave 3 Weeks Vacation, Sick Leave & Paid Holidays 401(K) with a 5% Employer Contribution Pet Insurance Opportunities for professional development and a collaborative team of experts. Flexible and supportive work-life balance culture. Exposure to innovative projects within the higher education sector. Apply today to learn more! The listed salary range for this position is indicative and subject to adjustment based on the candidate's unique skills and location. Final compensation will be determined through mutual agreement between the successful candidate and SIG. SIG is an Equal Employment Opportunity employer California Consumer Privacy Act Notice

Job Description Job Description Overview We are seeking an experienced Informatica Developer with strong hands-on expertise in Informatica Cloud Data Integration (CDI), complemented by experience in B2B/EDI integration and working knowledge of Cloud Application Integration (CAI). The role involves designing, developing, deploying, and supporting batch and file-based data integrations, EDI partner integrations, and application interfaces using Informatica Intelligent Data Management Cloud (IDMC). The ideal candidate will have experience in data mapping and transformation, EDI standards and protocols, secure file transfer, and integration with enterprise applications and databases. Exposure to CAI will be beneficial for implementing API-based and event-driven integration scenarios. Responsibilities Design, develop, test, and maintain CDI mappings, mapping tasks, taskflows, and integration workflows. Implement data extraction, transformation, and loading processes for batch, file-based, and database integrations. Design and maintain B2B/EDI integrations using Informatica Cloud B2B Gateway and related IDMC capabilities. Develop and support EDI transaction processing using ANSI X12 and EDIFACT standards, including document parsing, validation, transformation, and partner-specific mapping. Configure and support EDI partner connectivity using AS2, SFTP, FTP, and other supported file-transfer mechanisms. Implement inbound and outbound EDI workflows, including envelope processing, acknowledgments, control numbers, and transaction-level error handling. Integrate EDI transactions with enterprise applications, databases, and downstream systems using XML, JSON, flat files, and relational data formats. Develop and maintain REST/SOAP integrations and support CAI-based processes where application orchestration is required. Configure, monitor, and troubleshoot Secure Agent runtime environments, connections, and integration jobs. Implement exception handling, logging, reconciliation, and audit mechanisms to ensure reliable transaction processing. Analyze production issues, identify root causes, and implement corrective and preventive actions. Optimize CDI mappings and workflows for performance, scalability, and efficient resource utilization. Support deployment and promotion of integration assets across development, QA, and production environments. Collaborate with business analysts, solution architects, application teams, and external trading partners to gather requirements and deliver integration solutions. Maintain technical documentation, mapping specifications, interface definitions, partner configuration details, and operational procedures. Skill Requirements Minimum 3 years of hands-on experience in Informatica CDI/IDMC development , or equivalent experience appropriate to the position. Strong experience in CDI mappings, mapping tasks, taskflows, transformations, parameters, and runtime configuration. Hands-on experience with data integration patterns involving relational databases, flat files, XML, JSON, and delimited files. Understanding of ANSI X12 and/or EDIFACT EDI standards, including transaction structure, segments, elements, envelopes, and control numbers. Experience with B2B/EDI integration processes, including inbound/outbound transaction handling, partner onboarding, and transaction validation. Working knowledge of AS2, SFTP, FTP, and secure file transfer concepts. Strong SQL skills and experience with relational databases such as Oracle, SQL Server, or PostgreSQL. Experience with REST/SOAP APIs, XML, XSD, and JSON. Understanding of IDMC Secure Agent configuration, connectivity, monitoring, and troubleshooting. Experience implementing error handling, logging, auditing, and recovery mechanisms. Strong analytical, troubleshooting, and problem-solving skills. Good communication skills and the ability to work with cross-functional teams. Other Requirements Hands-on experience with Informatica Cloud B2B Gateway, including partner configurations, EDI processing, and transaction monitoring. Experience with multiple EDI transaction sets, such as X, 855, 856, 810, 860, 997/999, or equivalent EDIFACT messages. Exposure to Informatica CAI for API-based integrations, service connectors, process orchestration, and event-driven workflows. Experience integrating EDI transactions with ERP, supply chain, warehouse management, or transportation management systems. Familiarity with application integration patterns involving systems such as SAP, Oracle, or Oracle Transportation Management (OTM). Experience with IDMC deployment, migration, version management, and CI/CD practices. Knowledge of XML transformation techniques, XSLT, XPath, and XQuery. Scripting knowledge in Python or Shell for automation and operational support. Exposure to Informatica Cloud Data Quality (CDQ). Informatica IDMC certifications in CDI, B2B, or CAI. Technical Tool/Skill Technical Area Expected Competency Self Rating Informatica Cloud Data Integration (CDI)Data Integration / ETL / ELT5Informatica Cloud B2B GatewayB2B Integration / EDI4EDI Standards (ANSI X12 / EDIFACT)EDI Mapping / Partner Integration4EDI Protocols (AS2 / SFTP / FTP)B2B Connectivity / Secure File Transfer4Data Mapping and TransformationData Processing / Mapping5SQL & Relational DatabasesData Management / Querying4REST/SOAP APIs and Web ServicesApplication Integration3

Job Description Job Description Saalex Corporation is seeking multiple Configuration Manager Analyst II in Tidewater, VA and San Diego, CA. Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. Saalex offers competitive compensation, career development, flexible work schedules and excellent benefits. Position Type: Contingent on Contract Award. Salary: $65k-$115k (depending on experience) The Configuration Manager Analyst II supports the Navy by managing configuration control processes, system baselines, and change management activities for IT, cybersecurity, and engineering systems in distributed environments. Essential Functions: Manage configuration management (CM) processes for IT systems, networks, and cybersecurity assets. Maintain and control system baselines and configuration items (CIs). Support and facilitate Configuration Control Boards (CCBs) and formal change management processes. Ensure compliance with DoD, Navy, and program configuration management standards (e.g., EIA-649). Track, document, and audit system changes, versions, and releases. Collaborate with engineering, cybersecurity, and program teams to validate configurations. Support audits, inspections, and reporting activities. Requirements Required: 3-5 years of experience in configuration management, IT, or related field. Experience with configuration management principles, tools, or documentation processes. Familiarity with CM tools (e.g., SharePoint, ServiceNow, CMDBs, or version control systems). Desired: Experience supporting DoD or Navy programs. Familiarity with EIA-649, ITIL, or similar configuration management frameworks. Experience supporting audits, compliance activities, or system baselines. Education: Bachelor's degree in Information Technology, Engineering, Business, or related field (or equivalent experience). Security Clearance: Must be eligible to obtain a Secret, Top Secret, or TS/SCI clearance. Active clearances preferred. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits Employer Paid Health Care Plans for Employees & Family Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Benefit

Job Description Job Description Saalex Corporation is seeking multiple Configuration Manager Analyst I in Tidewater, VA and San Diego, CA. Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. Saalex offers competitive compensation, career development, flexible work schedules and excellent benefits. Position Type: Contingent on Contract Award. Salary: $89k-$119k (depending on experience) The Configuration Manager Analyst I supports the Navy by managing configuration control processes, documentation, and system baselines for IT, cybersecurity, and engineering systems supporting global Live Virtual Constructive (LVC) environments. Essential Functions: Support configuration management (CM) activities for IT systems and documentation. Assist in maintaining configuration baselines and tracking configuration items (CIs). Support documentation of system changes, updates, and version control. Assist with configuration control processes and change tracking. Maintain CM records, logs, and documentation repositories. Collaborate with technical teams to gather and update configuration data. Other duties as assigned or required. Requirements Required: 1-3 years of experience in configuration management, IT, engineering, or related field. Bachelor's degree in Information Technology, Engineering, Business, or related field (or equivalent experience). Experience with configuration management principles, tools, or documentation processes. Familiarity with CM tools (e.g., SharePoint, ServiceNow, CM databases, or version control systems). Desired: Experience supporting DoD or Navy programs. Familiarity with EIA-649, ITIL, or similar configuration management frameworks. Experience supporting audits, compliance activities, or system baselines. Security Clearance: Must be eligible to obtain a Secret, Top Secret, or TS/SCI clearance. Active clearances preferred. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Benefits Employer Paid Health Care Plans for Employees & Family Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development Wellness Resources Stock Option Benefit

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 Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. As part of the Release Management team at Zoox, you will own all aspects of the software release process and help accelerate our product development by leading various weekly / fortnightly / monthly releases focused on ensuring we are shipping the safest and most reliable software possible. As developers build new features, the release management team will be responsible for tracking and knowing the content of each release, updating testing strategies, measuring system performance, and escalating issues seen during on-vehicle and offline testing. These efforts are critical to maintaining our code quality and ensuring our service capabilities are operating as intended. You will coordinate with cross-divisional teams to accelerate releases, increase the quality of our autonomous driving products, and optimize resource efficiency. Your ability to understand the overall system design and component interaction to help guide test methodology for functional and safety sign-off is crucial to the overall success of the release team. Accountability and integrity are core to Zoox teams. In this role, you will: Work with all stakeholders in Development, QA, and vehicle operations to assemble cross-organizational project teams, tracking progress and delivering towards release milestones Multiply the impact of release teams across Zoox by turning what works into shared tooling and practices, accelerating how quickly software reaches the fleet Track results of all required tests, analyze release blockers, and enable successful resolution Coordinate release readiness across integration, QA, and component teams, tracking readiness indicators and securing the approvals that confirm each release is production-ready including hands-on experience enforcing SLAs for release blockers, and driving fast mitigation strategies. Build and scale automation that removes manual release work, from branch management and merge workflows to release visibility and metrics. Qualifications: Bachelor degree with 3-5 years of experience in release engineering, build engineering, or release management for large, complex software products. Proficiency with Git, including branch management and conflict resolution and experience building and operating CI/CD pipelines (with tools such as Buildkite, Jenkins, or Bamboo) Excellent communication (Written and Verbal) and organizational skills Programming experience in Python or another scripting language, including automating release or build workflows. Excellent communication skills and ability to quickly adapt to changes Bonus Qualifications: Experience with developing automated functional test software on Hardware-in-the-Loop infrastructure. Experience managing release pipelines that combine simulation regression testing with physical hardware. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 Principal AI Engineer Summary: Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery. Develop which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks. Communicating to high-level stakeholders internally and externally. Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques. Guide and mentor scientists to support their career development. Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas. Requirements: Excellent software engineering skills, experience in Python, Rust and/or C++. Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion). Real-world experience with distributed systems and concurrency. Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation. Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects. MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields. Requires full-time, on-site presence at the office in San Diego, CA. Willingness to travel up to 10%.

Job Description Job Description Sigma Defense is seeking a Network Security Engineer II to join our team in San Diego, CA. Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Requirements 3 - 10 years of experience. Must be a U.S. citizen. Computer Programs/Software: ACAS Trellix ESS Spork/Spork+ NetIQ SIEM Sentinel Mandatory Certifications: Security+ CE or CISSP At minimum one of the following operating system/platform certifications: Linux Windows VMware Cisco Personnel Clearance Level: Candidate must possess or have the ability to obtain an active Secret security clearance or higher. Education Requirements: Bachelor's degree from an accredited college or university. Essential Job Duties (not all-inclusive): Implement and enforce DoD cybersecurity policies (STIGs, RMF, NIST SP 800-53) across CANES systems. Design, Develop, implement and troubleshoot solutions for vulnerabilities within the CANES system. Lead efforts to harden Windows/Linux systems, applications, network devices, and various hardware within the CANES environment. Assist with IAVM compliance, log analysis, and audit readiness tasks. Perform patch management, system scanning, and incident response coordination. Maintain system documentation, cybersecurity artifacts, and baseline reports. Support system validation during test events, site assessments, and production installations. Design, develop, and automate configurations on the following platforms: RHEL expertise/Admin (RHEL 7+ ideal) Windows expertise/Admin (Win2019/2020 -> 2025+ SIEM/SOAR, (ArcSight/Splunk/Sentinel etc. Sentinel & Splunk experience Preferred!) ACAS (engineering, not just user experience) ESS (Trellix) Engineering (not admins) Submit configuration updates via GitLab/GitHub, Spork/Spork+. Salary Range : $95,000 - $136,000 annually. Benefits Dental and Vision Insurance Medical Insurance to Include HSA, FSA, and DFSA Plans Life and AD&D coverage Employee Assistance Program (EAP) 401(k) Plan with Company Matching Contributions 160 Hours of Paid Time Off (PTO) 12 (Floating) Holidays Educational Assistance Highly Competitive Salary

Job Description Job Description Sigma Defense is seeking a Network Security Engineer III to join our team in San Diego, CA. This position supports the enforcement of DoD cybersecurity policies (STIGs, RMF, NIST SP 800-53) across CANES environments while leveraging expertise in ACAS, Trellix ESS, NetIQ Sentinel, and Splunk. This role requires hands-on system hardening, vulnerability management, and configuration automation via GitLab, GitHub, and Spork/Spork+. Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Requirements 5 - 10 years of experience. Must be a U.S. citizen. Computer Programs/Software: ACAS Trellix ESS Spork/Spork+ NetIQ SIEM Sentinel Mandatory Certifications: Security+ CE or CISSP At minimum one of the following operating system/platform certifications: Linux Windows VMware Cisco Personnel Clearance Level: Candidate must possess or have the ability to obtain an active Secret security clearance or higher. Education Requirements: Bachelor's degree from an accredited college or university. Essential Job Duties (not all-inclusive): Implement and enforce DoD cybersecurity policies (STIGs, RMF, NIST SP 800-53) across CANES systems. Design, Develop, implement and troubleshoot solutions for vulnerabilities within the CANES system Lead efforts to harden Windows/Linux systems, applications, network devices, and various hardware within the CANES environment. Assist with IAVM compliance, log analysis, and audit readiness tasks. Perform patch management, system scanning, and incident response coordination. Maintain system documentation, cybersecurity artifacts, and baseline reports. Support system validation during test events, site assessments, and production installations. Design, develop, and automate configurations on the following platforms: RHEL expertise/Admin (RHEL 7+ ideal) Windows expertise/Admin (Win2019/2020 -> 2025+ SIEM/SOAR, (ArcSight/Splunk/Sentinel etc. Sentinel & Splunk experience Preferred!) ACAS (engineering, not just user experience) ESS (Trellix) Engineering (not admins) Submit configuration updates via GitLab/GitHub, Spork/Spork+. Salary Range : $120,000 - $150,000 annually. Benefits Dental and Vision Insurance Medical Insurance to Include HSA, FSA, and DFSA Plans Life and AD&D coverage Employee Assistance Program (EAP) 401(k) Plan with Company Matching Contributions 160 Hours of Paid Time Off (PTO) 12 (Floating) Holidays Educational Assistance Highly Competitive Salary

Job Description Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Pharmacokinetics & Systems Biology Expert Type: Contract Compensation: $70-$85/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities Design challenging computational problems to test AI systems using real scientific software. Develop problems requiring the skilled use of specialized software like libRoadRunner , Tellurium , or SBML-based tools . Evaluate and refine problems through testing loops against state-of-the-art AI models . Collaborate to ensure problems require strategic thinking and smart reasoning. Work independently to refine problem designs based on feedback. Operate comfortably in a Linux/terminal environment with remote compute sandboxes. Qualifications Must-Have Graduate-level training in a relevant STEM field ( MS, PhD, or equivalent research experience ). Proven proficiency with at least one of the listed scientific software libraries. Strong Python skills. Ability to work independently and refine problem designs. Comfortable in a Linux/terminal environment . Preferred Experience across multiple listed domains or tools. Familiarity with benchmark or evaluation design. Background in scientific teaching or exam/problem-set design. Experience with computational reproducibility and containerized environments. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description We are partnered with a wonderful organization seeking a Senior Application Engineer with technical expertise and strong functional knowledge of hospital Revenue Cycle operations. This individual will play a critical role in designing, developing, and maintaining applications and data solutions that support financial and operational workflows within a healthcare environment. The ideal candidate combines hands-on engineering capabilities with a strong understanding of patient accounting, billing processes, and reporting requirements within a hospital setting. This is a remote 2-year contract that is salaried only. Must work West Coast business hours. What will I be doing? Design, develop, and maintain scalable applications and data solutions supporting Revenue Cycle operations Collaborate with business stakeholders to translate operational and reporting requirements into technical solutions Optimize and support SQL Server environments, ETL processes, and reporting platforms Build and maintain integrations and automated workflows across systems Support Epic Clarity reporting and data extraction needs related to Hospital Billing (HB) Troubleshoot complex issues across applications, databases, and reporting layers Ensure data accuracy, integrity, and security across all solutions Partner with cross-functional teams including IT, finance, and operations to drive continuous improvement What requirements do I need? Healthcare / Revenue Cycle: Strong knowledge of hospital Revenue Cycle operations, including patient accounting, billing, claims, and collections processes Experience working with healthcare data models and financial workflows Database Administration: Proven experience performing core MS SQL Server DBA tasks, including: Indexing Performance tuning Backup and recovery Security management ETL Engineering: Minimum 5 years of Extensive experience designing, building, debugging, and optimizing complex SSIS (SQL Server Integration Services) packages Strong ability to manage complex queries and data transformations and workflows Web Development: Minimum 5 years of experience in .NET C# web application development Experience with application architecture and deployment in IIS environments Business Intelligence & Reporting: Minimum 5 years of experience developing advanced SSRS reports, including: Matrix and highly formatted reporting layouts Experienced with both scheduled and triggered SSRS reports Job Scheduling / Automation: Minimum 1 year of Experience developing and managing enterprise workflows using JAMS Scheduler, including job scheduling, monitoring, and troubleshooting Epic Certification: Active Epic Hospital Billing (HB) Clarity Report Writer certification is required Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. If you have the skills required for this role, we want to speak to you. Apply today!

Job Description Job Description At Zoox, the release teams handle the complex orchestration of releases spanning vehicle, cloud, and client code bases. From first commit to full production, our mission is to make every release predictable, transparent, and fast. We build the tooling and automation that improves the release lifecycle for our own teams and for teams across Zoox. We are seeking a technical expert in version control, continuous integration, and build systems who is equally comfortable driving a release end to end and engineering the systems that streamline it. You will work closely with our customers, from the teams whose components we release to the downstream consumers of each build, translating their needs into a better release experience and serving as a force multiplier within our team and beyond. In this role, you will: Own the end-to-end release process for a portfolio of vehicle software components, from branch cut through validation, hotfixes, and deployment to production Coordinate release readiness across integration, QA, and component teams, tracking readiness indicators and securing the approvals that confirm each release is production-ready Build and scale automation that removes manual release work, from branch management and merge workflows to release visibility and metrics Partner closely with our customers, the teams whose components we release and the downstream consumers of each build, turning their needs into process improvements Multiply the impact of release teams across Zoox by turning what works into shared tooling and practices, accelerating how quickly software reaches the fleet Qualifications: 3-5 years of experience in release engineering, build engineering, or release management for large, complex software products Bachelor's or Master's degree in engineering or computer science, or equivalent experience Proficiency with Git, including branch management and conflict resolution Experience building and operating CI/CD pipelines with tools such as Buildkite, Jenkins, or Bamboo Programming experience in Python or another scripting language, including automating release or build workflows Excellent communication skills and ability to quickly adapt to changes Bonus Qualifications: Experience with Bazel Experience releasing embedded, firmware, or safety-critical software Familiarity with cloud platforms such as AWS or Azure Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. 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 About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Government / public administration Evaluator Type: Contract Compensation: $80-$120/hour Location: Remote Role Responsibilities Evaluate AI-generated artifacts against domain-specific quality rubrics. Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks . Provide clear, structured written feedback to improve AI model outputs . Collaborate with AI research teams to enhance training data quality. Work independently and asynchronously to meet deadlines. Qualifications Must-Have 5+ years of relevant professional experience in Government / public administration . Native or professional fluency in English . Highly proficient in Microsoft Office and Google Workspace , especially Slides . Preferred Advanced degree ( Master's or higher ) from a reputable institution. Application Process (Takes 20-30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Job Description Principal AI Engineer Summary: Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery. Develop which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks. Communicating to high-level stakeholders internally and externally. Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques. Guide and mentor scientists to support their career development. Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas. Requirements: Excellent software engineering skills, experience in Python, Rust and/or C++. Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion). Real-world experience with distributed systems and concurrency. Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation. Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects. MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields. Requires full-time, on-site presence at the office in San Diego, CA. Willingness to travel up to 10%.

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: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 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 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 This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. About the Role: We are seeking a Platform Engineer with an active Top Secret/SCI clearance to play a pivotal role in automating and orchestrating our critical infrastructure. This position is ideal for a technical expert passionate about deploying, managing, and optimizing system infrastructures using the latest technologies in system automation, container orchestration, and open-source applications. You'll be based in San Diego, Ca and work on projects vital to national security and technological advancement. Key Responsibilities: Implement and manage system automation using Ansible and Puppet, ensuring efficient configuration across RHEL and Windows platforms Deploy and maintain Kubernetes clusters with RKE2 and Rancher, focusing on scalability, reliability, and security Manage a wide array of open-source applications (NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn, Grafana, Prometheus, Loki, Promtail, GitLab), enhancing our capabilities in data processing, storage, and monitoring Ensure the highest level of system performance and security across all platforms and technologies Collaborate with teams to understand project requirements, providing technical solutions that align with strategic goals Maintain comprehensive documentation on system configurations, deployments, and operational practices Required Qualifications: Bachelor's degree in Computer Science, IT, Engineering, or related field 7 years of experience with Ansible, Puppet, Kubernetes (RKE2 and Rancher), RHEL, and Windows system management Strong problem-solving skills and adaptability in a fast-paced environment Excellent communication and teamwork abilities Preferred Skills: Masters Degree in Computer Science, IT, Engineering, or related field Familiarity with NiFi, Kafka, Zookeeper, MinIO, Keycloak, Longhorn, Grafana, Prometheus, Loki, Promtail, and GitLab Experience with containerization technologies System performance optimization experience Clearance Requirements: Active Top Secret with ability to obtain and maintain SCI Work Type: Onsite at San Diego, Ca May require up to 10% travel Salary Range: $120,000 - $185000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) with company match Take as you need PTO + 14 paid holidays Generous Referral Bonuses And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are . We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. Your Rights: California residents have the right to request information about personal data collected and to request deletion, subject to certain exceptions. Note that employment-related information is subject to specific exemptions under CCPA. Contact Us: For questions about this notice or to exercise your privacy rights, contact: or . We're 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 or disability status.