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Position Summary The Operations Business Analyst serves as a key liaison between business stakeholders and technical teams to support operational initiatives, regulatory reporting, compliance activities, and business process improvements. This role is responsible for gathering and documenting business requirements, coordinating cross-functional projects, analyzing existing processes, and helping implement solutions that improve operational efficiency and regulatory compliance. This role also serves as a liaison for coordinating reporting requirements, audit requests, and operational initiatives between the organization and its banking partners, ensuring regulatory obligations and business objectives are met accurately, efficiently, and on time. The ideal candidate is highly organized, detail-oriented, and comfortable working with stakeholders across Compliance, Accounting, Operations, Information Technology, Data Analytics, and external banking partners. This individual will possess strong analytical, communication, and project coordination skills and be capable of translating complex business needs into clearly documented requirements and actionable project plans. Key Areas of Focus Business & Systems Requirements Gathering Business Process Analysis & Continuous Improvement Cross-Functional Project Coordination Consumer Finance Product Support Compliance & Audit Support Support of Operational Reporting & Data Analysis efforts Business Process & Technical Documentation What You'll Do Serve as the primary point of coordination among Compliance, Accounting, Operations, Information Technology, Data Analytics, to facilitate business initiatives, regulatory reporting, system enhancements, and audit activities. Gather, analyze, document, and validate business requirements for: Regulatory and compliance reporting Internal and external audit requests Operational initiatives System enhancements Process improvements Business reporting Serve as the primary coordinator between cross-functional groups for reporting requirements and audit requests received from the company's banking partner, ensuring timely and accurate completion of recurring daily, monthly, quarterly, and annual deliverables, as well as ad hoc requests. Analyze business processes and identify opportunities to improve efficiency, accuracy, controls, and automation. Create and maintain process maps, workflow documentation, business requirements documents, standard operating procedures, and other technical documentation. Facilitate meetings with business stakeholders to define requirements, resolve issues, and communicate project status. Partner with Information Technology and Data teams to translate business requirements into system enhancements and reporting solutions. Develop and maintain documentation supporting consumer finance products, operational workflows, accounting processes, compliance requirements, and reporting procedures. Assist with user acceptance testing (UAT), solution validation, and implementation of new processes and system enhancements. Build strong working relationships across the organization and serve as a trusted resource for cross-functional initiatives. What You'll Bring: Required Qualifications Bachelor's degree in Business Administration, Accounting, Information Systems, Project/Change Management, or a related field, or equivalent professional experience. Experience in business analysis, business systems analysis, project coordination, operations, or process improvement. Strong analytical and problem-solving skills with the ability to evaluate complex business processes. Excellent written and verbal communication skills with the ability to communicate effectively with both technical and non-technical audiences. Exceptional organizational skills and attention to detail. Ability to manage multiple priorities and projects simultaneously in a fast-paced environment. Experience documenting business requirements, workflows, business processes, and standard operating procedures. Proficiency with Microsoft Office, particularly Excel, Word, Visio, and PowerPoint. Experience using project management and collaboration tools such as Microsoft Project, Jira, or Asana. Familiarity with relational databases and general data management concepts. Preferred Qualifications Experience within the consumer finance, lending, banking, or broader financial services industry. Experience serving as a liaison between business stakeholders and technical teams, translating business needs into functional requirements and coordinating implementation efforts. Experience supporting regulatory reporting, compliance activities, and internal or external audit functions. Working knowledge of SQL sufficient to understand database structures, interpret queries, validate data, and participate in technical discussions. Familiarity with accounting and financial reporting processes. Experience working with data reporting, business intelligence, and operational analytics initiatives. Project management or business analysis certifications such as PMP, CAPM, CBAP, PMI-PBA, Lean Six Sigma Green Belt, or Lean Six Sigma Black Belt. Core Competencies Business Analysis Business Process Analysis & Improvement Requirements Gathering & Documentation Project Coordination Cross-Functional Collaboration Stakeholder Relationship Management Regulatory Compliance & Audit Support Business Process Documentation Technical Documentation Data Analysis Critical Thinking & Problem Solving Organizational Excellence Continuous Improvement Success in This Role Success in this role means becoming the trusted bridge between business stakeholders, technical teams, and the organization's banking partner. The Operations Business Analyst will drive successful cross-functional initiatives by ensuring business requirements are clearly defined, accurately documented, effectively communicated, and successfully implemented. This individual will play a critical role in improving operational efficiency, supporting compliance and audit activities, strengthening reporting processes, and helping the organization continuously improve its products, systems, and business operations. PI89817c8dccbd-8025

The Hollister Group seeks a Vice President and Chief Information Officer to lead technology strategy for a growing professional, scientific, and technical services firm. This executive will own the IT vision, driving secure, scalable systems that power recruiting, consulting, and internal operations. Responsibilities include defining the technology roadmap, overseeing applications, infrastructure, and cybersecurity, and aligning digital initiatives with business goals. The CIO will mentor a high-performing team, optimize vendor partnerships, manage budgets, and champion innovation in a collaborative, values-driven culture. Responsibilities Provide strategic leadership for all technology, data, and information systems across the firm Develop and execute an IT roadmap aligned with business, recruiting, and consulting priorities Oversee enterprise applications, infrastructure, cybersecurity, and data governance Partner with executive leadership to drive digital transformation and operational efficiency Evaluate, select, and manage technology vendors and key platforms Establish IT policies, standards, and risk management practices to ensure compliance Lead, mentor, and develop a high-performing IT and security team Define and track KPIs to measure system performance and business impact Ensure reliable, secure systems that support internal teams and client-facing solutions Manage IT budgets, forecasting, and capital planning Required Skills IT strategy Enterprise architecture Cybersecurity management Cloud platforms (AWS/Azure) Data governance and analytics ERP/HRIS/CRM systems Vendor and contract management IT risk and compliance Budgeting and financial management People and organizational leadership

Job Description Job Description We're hiring experienced Architecture Modeling Engineers from junior to senior levels to play a key role in developing the designs that will bring our next-generation AI processors to life. About Us: Mythic is building the future of AI computing with breakthrough analog technology that delivers 100 the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications - whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from -40 ree;C to ree;C, making it ideal for industrial, automotive, aerospace, and defense. We've raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. The salary range for this position is $120,000-$225,000+ annually. Actual compensation depends on experience, skills, qualifications, and location. Architecture Modeling at Mythic: At Mythic, architecture modeling is at the core of how we design and deliver breakthrough AI hardware. Our models allow us to quantify the real-world performance of new architectures-capturing critical tradeoffs in throughput, latency, and efficiency -before a single chip is built. Modeling plays a central role in active design development, predicting how AI workloads generated by the Mythic compiler will run on silicon. These models serve as a golden reference for verifying RTL implementations and enable our software teams to begin developing validation and customer-facing code long before hardware is available. Even after silicon arrives, our modeling tools remain invaluable, offering deeper insight into performance bottlenecks and guiding ongoing software optimization. Responsibilities Architect and create various types of hardware models with varying goals - e.g. transaction-level, cycle-accurate. Create or build on top of existing hardware models to simulate functionality of custom AI software. Create prototyping models for estimating power, performance and area of new chip architectures. Create cycle-accurate models of the hardware (C++/SystemC). Collaborate with peer engineering teams to co-design and co-verify the hardware implementation. Investigate new architectural ideas, many co-designed with other system components. Requirements Bachelor's, Master's, or Ph.D. degree in Electrical Engineering, Computer Engineering, or Computer Science. 5+ years experience required creating performance models for architectural investigations. This experience can include time spent in academic work including papers, thesis, and dissertation work. The years required can be reduced if prior modeling experience is related to systems for AI. Academic and working knowledge of a variety of hardware concepts such as CPUs, memory systems, bus interconnects, security, chip interfaces, etc. Proficiency and experience with C++/SystemC as used in modeling. Proficiency and experience with hardware modeling for performance and/or power. Strong communication skills, both written and spoken. At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

Job Description L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Program Scheduling Job Code: 47059 Job Location: Cincinnati, OH or Huntsville, AL Job Schedule: 4/10 - Employees work 10 hour days, 4 days a week About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customer's mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea, and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000+ employees, with customers in more than 100 countries. L3Harris Fuzing and Ordnance Systems (FOS), a division of L3Harris Technologies, provides precision electronic components, subsystems, and systems for the US government and international allies. FOS, located in eastern Cincinnati, OH, is the established leader in design and manufacturing of fuzes, ignition safety devices, and height of burst sensors for US military weapons systems. We offer competitive benefits, an alternative 4/10 work schedule, and the opportunity to work with a talented and diverse group of professionals focused on warfighter success and safety. What We Do Matters. Job Description: L3Harris Fuzing and Ordnance Systems is seeking an experienced Program Scheduler that must understand project management processes and specialize in translating functional plans into detailed resource-loaded Integrated Master Schedules (IMS). Administers the controls of schedules on development and production contracts, some requiring Earned Value Management. Will work with general supervision within established guidelines and procedures, plans for the orderly completion of objectives on assigned programs. Essential Functions: Develop, baseline, & maintain complex resource-loaded integrated master schedules (IMS) using SOW, WBS, and other program information. Perform regular Critical/Driving Path Analysis, Schedule Risk Analysis, Schedule Health Analysis, Variance metrics, Earned Value Management and other project management techniques to gauge progress and identify performance variances to facilitate focus and intervention on critical areas and identify and resolve critical path and network logic conflicts. Communicate within and outside of own function to gain cooperation on operational processes, practices, and procedures; responsibility for communicating with parties external to the organization (ex: customers, vendors, etc.) when necessary. Contribute to achievement of departmental goals and operating plans with direct impact on the departmental results; make/recommend substantial improvements to systems and processes. Ensure program schedules and resource plans are integrated across company functional groups including finance, engineering, material, manufacturing, and quality. Ensure compliance with internal program procedures and project control system guidelines. Conduct extensive investigation to understand root cause of problems. Span a wide range of difficult and unique issues across the function and/or business area. Work to influence others to accept individual or team's views or practices and changes to concepts, practices, and approaches. Create and present project-level reports, lead presentations, briefings to reflect risk and status to program management and senior management relating to matters of importance to their function or business area (visuals may include Gannts, PERT, Network Diagrams, Summary Schedules, and Milestone Charts, etc.). Attention to detail and focus on quality of product/deliverables. High level of Critical thinking and problem solving. Prior experience working in MS Office (Excel, Word, Outlook, PowerPoint). Qualifications: Bachelor's Degree and a minimum of 6 years of prior relevant experience; Or Graduate Degree and a minimum of 4 years of prior related experience; Or, in lieu of a degree, a minimum of 10 years of prior related program scheduling experience. Preferred Additional Skills: Experience working within complex engineering and/or production environment within Aerospace and Defense Industry. Experience in administration of PWA/MS ProjectOnline/MS ProjectServer and SharePoint. Working knowledge of Planning & Scheduling Excellence Guide (PASEG), EVMS Standard (EIA 748-D), Integrated Product and Process Development (IPPD)/ Engineering Lifecycle Stages & Gates, Integrated Program Management Report (IPMR), Monte Carlo Risk Analysis (Schedule Risk Analysis). EVMS - Earned Value Management Systems. Familiarity with scheduling ad-on tools such as Structured Solutions - SSI tools management, Office Timeline or similar scheduling support software. Ability to work within a team and on their own. Experience in creating and/or maintaining an Integrated Master Schedule (IMS) and any Supporting Schedules on assigned projects/programs. Experience in MS Project, minimum of 3 years of use (will consider P6 experience). L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Job Description Job Description Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. We are looking for a Senior Backend Software Engineer to help build and maintain the backend platform powering our connected-device products. You will work across cloud services, APIs, data pipelines, fleet management, and real-time device communications. This is a hands-on role for an engineer who enjoys building production systems, solving practical problems, and working closely with embedded, hardware, frontend, and product teams. What you will do: Backend Development Build, maintain, and improve Python/FastAPI backend services, REST APIs, and WebSocket endpoints. Develop features for device provisioning, fleet management, telemetry, events, device status, firmware management, and OTA updates. Design and maintain PostgreSQL schemas, migrations, indexes, queries, and data-retention strategies. Build and improve data-ingestion services using AWS IoT Core, MQTT, Lambda, RDS, Redis, and S3. Work with infrastructure-as-code and deployment tooling to maintain cloud infrastructure. Quality and Reliability Write unit, integration, and end-to-end tests alongside feature development. Investigate and resolve production issues across APIs, databases, cloud infrastructure, and device integrations. Improve the reliability of telemetry ingestion through appropriate retries, idempotency, monitoring, and error handling. Participate in code reviews and contribute to clear, maintainable engineering practices. Help improve CI/CD, logging, metrics, and operational documentation. Collaboration Work closely with embedded, hardware, frontend, and product teams to deliver end-to-end features. Participate in technical design discussions and communicate implementation tradeoffs clearly. Share knowledge and help establish sensible backend patterns as the team and platform grow. What we are looking for: Required 5+ years of backend software development experience in production systems. Strong Python experience and hands-on experience with FastAPI, Django, Flask, or comparable backend frameworks. Strong knowledge of PostgreSQL, SQL, schema design, migrations, query optimization, and data lifecycle management. Experience with AWS services-or comparable cloud platforms-with hands-on AWS experience preferred, especially EC2, Lambda, S3, Cognito, and infrastructure-as-code. Experience with MQTT, WebSockets, message-driven architecture, or real-time data delivery. Experience designing and building REST APIs. Strong automated-testing skills, including unit, integration, and end-to-end testing. Experience with Git workflows, CI/CD, code review, and production deployment practices. Clear communicator who can work effectively across engineering disciplines. Experience with Linux. Nice to Have Experience building cloud-connected IoT, device-management, telemetry, or other event-driven systems. Experience with AWS IoT Core, IoT Jobs, Device Shadows, or IoT fleet provisioning. Experience building firmware OTA, device telemetry, or fleet-management platforms. Experience with Redis, RDS Proxy, queues, stream processing, or event-driven architectures. Experience with AWS CDK, Terraform, or other infrastructure-as-code tools. Familiarity with embedded systems, wireless communications, or sensor-rich hardware. Experience with security-focused systems, audit logging, or operational compliance. Experience in aerospace, satellite, industrial IoT, or other mission-critical environments. Additional Requirements This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected. This is a full time, exempt position, based out of our Saratoga office. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. In your first 90 days, you will have mapped the current embedded software architecture, identified the highest-priority gaps, and shipped at least one meaningful feature end-to-end. Within six months, you will have established a team testing standard, introduced measurable improvements to firmware reliability, and built strong working relationships with hardware and systems engineering. How We Work • On-site, collaborative environment. We build physical hardware - presence matters. • Small teams with high autonomy. You own your area end-to-end. • Fast iteration cycles. We prototype, test, and revise quickly. • Direct feedback culture. We expect candor and respect in equal measure. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference • Sustainability at our core • Fair and honest workplace • Innovative thinking is encouraged • Competitive salaries • Continuous learning and development • Health and wellness care options • Financial solutions for the future • Optional legal services (US only) • Paid holidays • Paid time off 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 Ready to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. The SIM Management 5G Core Engineer will analyze, design, implement, and verify the configuration and integration of subscriber data management nodes(UDR / UDM), networks, and systems across our 5G infrastructure. Your scope of work includes introduction, upgrade, expansion, functionality, and capacity scenarios on modern cloud-native UDM and UDR deployments. You will be a key contributor to the convergence of subscriber databases as platform evolves - and your work will directly shape the reliability and scalability of the networks our partners depend on. Key Responsibilities As part of the 5G Core team, you will own the subscriber data management platform across our network generations. Your responsibilities include: Manage and operate UDR, and UDM nodes across 5G core domain, ensuring high availability and data integrity for subscriber profiles. Design and maintain subscriber provisioning workflows, including IMSI/MSISDN management, service profiles, and roaming configurations. Implement and verify HTTP/2-based (N8, Nudm) interfaces connecting subscriber data nodes to AMF and other core elements. Use and build dashboards to monitor subscriber node KPIs, quickly surface abnormal conditions, and identify patterns before they become outages. Own incident management for the subscriber data domain: follow communications procedures for internal escalation and external vendor coordination, ensuring SLAs are met. Perform maintenance, security audits, patching, and emergency response for UDM/UDR platforms. Undertake fault handling and corrective actions at node, service, and infrastructure level, including protocol trace analysis (Wireshark/tcpdump) on HTTP/2 signaling. Lead and contribute to project activities: E2E introduction of new subscriber management nodes, capacity expansions, software upgrades, and feature activations. Support onboarding by configuring subscriber data repositories, IMSI ranges, and roaming agreements in UDM/UDR systems. Collaborate with teams to resolve cross-domain subscriber authentication and registration issues. Key Qualifications At least 10 years of experience in core network engineering with a focus on subscriber data management in 5G Core networks. Technical - Subscriber Data Management Deep operational knowledge of HSS/HLR or UDR/UDM platforms. Hands-on experience with configuration and troubleshooting. Practical experience with 5G UDM and UDR, including cloud-native deployments (containerized/Kubernetes -based NFs) and HTTP/2 SBI interfaces (N8, Nudm_SubscriberDataManagement, Nudr_DataRepository). Solid understanding of subscriber profile structures: 5GS subscription. Experience with IMSI/MSISDN range management, number portability (NP/MNP) integration, and SIM/eSIM provisioning workflows. Technical - Network & Systems Working knowledge of 5G SA (AMF/SMF/UDM/UDR/AUSF/UDSF) core architectures and their subscriber data flows. Familiarity with 3GPP standards governing subscriber data: TS 29.503/29.504 (UDM/UDR SBI), TS 23.502 (5G procedures). Comfortable with Linux/Unix-based systems - able to navigate shells, interpret logs, manage processes, and perform basic system administration on telecom NF hosts. Hands-on with Wireshark, tcpdump, and vendor-specific trace tools for deep analysis of MAP, Diameter, and HTTP/2 subscriber signaling. Experience with high-availability configurations for subscriber databases: active/standby, geo-redundancy, and database replication/synchronization. Familiarity with cloud-native telecom platforms (Kubernetes) and Helm-based NF lifecycle management. Education & Background Bachelor's or Master's degree in Telecommunications, Computer Science, or equivalent; post-graduate studies are a plus. 10+ years of core telecommunications network experience, with a minimum of 5 years hands-on with HLR, HSS, UDR, or UDM platforms. Bonus Points for the Following Experience with 3GPP NTN core adaptations (Rel-17/18): satellite access node (SAN) architecture, timer and window parameter adaptation for high-latency links, or UPF placement in non-terrestrial topologies. Background in MVNO core architecture: roaming interfaces (N32/SEPP, Diameter S6a/S9), multi-PLMN federation, MVNO interconnect, or eSIM/SM-DP+ integration. Familiarity with 3GPP SA2/CT4 specifications or direct standards contribution experience. Experience with NEF or network exposure APIs and B2B API gateway architecture. Background in SIM provisioning platforms, subscription management, or UDM/HSS data modelling. Experience in a startup or fast-paced R&D environment where architectural decisions move at product speed. Additional Requirements This is a fast-paced, high-impact environment - flexibility to occasionally work extended hours or weekends during critical periods is expected. This is a full time, exempt position, based out of our Santa Clara, CA office. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. The Company is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. Why E-Space is right for you As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference • Sustainability at our core • Fair and honest workplace • Innovative thinking is encouraged • Competitive salaries • Continuous learning and development • Health and wellness care options • Financial solutions for the future • Optional legal services (US only) • Paid holidays • Paid time off 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 About the role DataAnnotation is looking for experienced computational biologists and bioinformaticians to evaluate how frontier AI models handle real biological data analysis: differential expression, variant interpretation, single cell workflows, multiomics integration, statistical genetics. You bring the judgment to know when a result is real. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic analysis tasks drawn from your own practice, such as a QC and interpretation exercise on an RNA seq count matrix, a variant prioritization report, a batch effect diagnosis, or a pipeline audit, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic computational biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, reference annotations, analysis notebooks, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the analysis report, annotated table, figure set, or notebook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct analysis must contain, such as the right normalization, the right multiple testing correction and the right biological reading, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p values, misused reference or annotation version, silently dropped samples, fabricated results, code that does not do what the narrative claims, and off brief interpretation of the ask. Contribute across genomics and variant interpretation, bulk and single cell transcriptomics, proteomics and multiomics, statistical and population genetics, and machine learning applied to biology, and review and refine tasks built by other experts. Domain qualifications 3+ years hands on analyzing real biological data in industry, an academic lab, or a research institute (lab or institute time counted after undergraduate education). You write, debug, and can explain your own analysis code in Python and/or R (strong proficiency in both preferred, at least one required). Depth of experience in at least one of: genomics and variant interpretation; bulk or single cell transcriptomics; proteomics, metabolomics, or multiomics integration; population and statistical genetics; machine learning applied to biology; clinical genomics; metagenomics or phylogenetics. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a genomics specialist who also understands transcriptomics pipelines and how machine learning is applied to biological data), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have independently owned a multistep analysis end to end, from raw or messy data, through cleaning and processing, to a final interpretation, rather than picking up a clean dataset mid pipeline. Familiar with reproducible research practices (notebooks, scripts, version control, workflow tools). You can judge whether a result is real and say what it means: normalization choices, batch effects and confounding, multiple testing correction, statistical power, and biological interpretation. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. For this role, directly related fields also include biostatistics, computer science, or statistics when paired with substantial biological data experience. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Job Description Billing Services Co-op The Billing Services Co-op supports Oglethorpe Power's monthly wholesale power billing operations while gaining hands-on experience in utility billing, business and systems analysis, application development, and project management. Working with Billing Services staff, the co-op will help modernize legacy billing applications, develop and test billing intelligence tools, validate billing data, document processes, and support projects that help ensure accurate and timely bills for OPC's Electric Membership Corporations. Job Duties Assist with monthly wholesale power billing activities, including collecting, reviewing, reconciling, and validating data used to calculate EMC bills. Support the modernization, development, testing, and documentation of billing applications, billing intelligence tools, databases, dashboards, and related solutions. Assist with assigned departmental projects using SQL, Java, Sencha, systems analysis, and project management skills. Learn the agreements, documents, data flows, generating assets, and business processes that support billing calculations. Prepare and maintain process documentation, test results, data analyses, status updates, and other materials. Collaborate with Billing Services staff, Family of Companies personnel, IT resources, and other data providers to research issues and support process improvements. Rotate among department team members to gain broad exposure to billing functions and support cross-training. Perform other related duties and special projects as assigned, including occasional overtime during monthly billing cycles when required. Required Qualifications Strong attention to detail, accuracy, organization, and follow-through. Strong analytical and problem-solving skills, including the ability to review data and identify discrepancies. Excellent written and verbal communication skills. Ability to manage multiple assignments and adapt to changing priorities. Ability to work effectively in a collaborative, team-oriented environment. Professional judgment and discretion when working with confidential business and billing information. Initiative, curiosity, and a willingness to learn complex utility billing processes, systems, agreements, and data flows. Education Currently enrolled and in good academic standing at an accredited four-year college or university, preferably pursuing a bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, Data Analytics, Accounting, Finance, or a related field. Experience Candidates should have completed foundational coursework related to data analysis, software applications, business processes, or project management and be eligible to participate in their institution's cooperative education program. Specialized Skills Basic proficiency with Microsoft Office and general computer applications. Interest in learning SQL, Java, Sencha, databases, dashboards, and related tools. Basic project management and documentation skills, or the ability to develop these skills through training and experience. Background & Drug Screen Disclaimer Job Posted by ApplicantPro

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Job Description Ranger, Revolutionizing Software Testing We're building Ranger to change the status quo of QA. Our mission is to power testing for the world's most ambitious engineering, product, and design teams so they can get back to building. How We're Already Changing the Game: Intelligent Test Generation Leveraging advanced LLMs, we automatically generate reliable and efficient Playwright tests. Self-Healing Tests Our system proactively identifies and resolves flaky tests, ensuring consistent and reliable test suites. Improved failure insights Get automated failure reports with likely causes, and easy-to-follow steps to reproduce the issue. Some of the fastest growing companies in the world (Clay, Suno, Dust, and more) use Ranger. We also collaborated with OpenAI, which you can read about here. Join Our Team To accelerate our mission we're incredibly excited to announce $8.9M in total funding over two rounds of funding led by XYZ and General Catalyst. Among the many other fantastic backers, they are joined by some of our earliest customers (Clay Co-founder Varun Anand, Suno Co-founder Martin Camacho, Dust Co-founder Stan Polu). Let's fix the way software teams test their products. We're embarking on an exciting journey and we hope you join us as Ranger leads the way. What we are looking for Getting back on defense for each other: No one at Ranger works on an island. When someone needs to step out or gets overwhelmed, we reach out to help rather than look to blame. We always put the team above ourselves out of trust that our teammates would do the same. Creative problem solving: we are an early stage start-up, everyone is expected to work together to solve problems even if it might not usually fall within your job description. Pride in your work: it is still critical to be proud of the work you and your peers are producing. Our pride should stem from craftsmanship and the value it brings customers. Part of this is preferring code to be live over perfect and finding the right tradeoffs to get there. What we are looking for in the role 6-10+ years of professional experience in software engineering. Strong desire to lead, execute, and own their own projects. Track record of learning new languages, technologies, and patterns on the job. Comfortable working and reasoning across the stack - frontend, backend, and infrastructure. Willingness to work a hybrid schedule with a minimum of 3 days in-office. What would set you apart Experience at an early-stage startup Experience with DOM parsing and manipulation Familiarity with LLM APIs and experience using them in a production environment Experience with any of our tech stack: Express+NodeJS, PostgreSQL, MongoDB, Playwright, FFmpeg, GCP What you should expect An opportunity to influence company culture. We are just beginning to invest in our hybrid offices - we would look to partner with you to help establish our culture. Technical leadership opportunities with an opportunity to drive green-field projects from infrastructure to frontend, ensuring its in our customers hands. Trust, respect, and responsibility. We treat one another as the full people we are and trust one another to make decisions in consideration of ourselves, our teammates, and the company. In addition to a base salary, employees will receive stock options. Benefits for full-time team members include: Comprehensive medical, dental & vision plansPaid holidays & flexible paid time off (PTO) Pursuant to various state laws, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range. The expected base salary range that we are targeting for this position can be adjusted up or down based on individual qualifications. Individual salary is determined by qualifications, role, level and location. Note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Description L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Sr. Specialist, Electrical Engineering - FPGA/ASIC Hardware Engineer Job Code: 46813 Job Location: Cincinnati, Ohio Job Schedule: 4/10 Job Description: As a Hardware Engineer at L3Harris you will be responsible for architecture, design and development of next generation Electronic Safe and Arm Devices utilizing the latest state of the art technologies.The ideal candidate for this role would share our passion for creating and innovating newtechnologies in a highly dynamic, fast-paced environment. We are looking for highly talented, motivated, and versatile engineers that can create the next generation fuzing solutions. ASIC / FPGA designs will include various sensor interfaces, sequence verification, A/D and D/A interfaces, communication protocols, state machines, timer chains, etc. used in Electronic Safe and Arm Devices (Fuzes) for DOD weapon systems. Microsemi / Actel is our targeted FPGA and QuestaSim is our simulation tool. The primary responsibilities will focus on Verilog FPGA design, System Verilog UVM verification and C# based microcontroller development. Essential Functions: Analysis of the requirements, architecture definition, design and debug of FPGA and associated hardware and microcontroller products and associated firmware. Developing Verilog HDL targeting Antifuse and enhanced Flash FPGA's. Performing effective analysis of functional issues or performance profiling with the hardware and firmware in test environments or target host systems. Contribute to process improvements to ensure hardware-firmware quality and time-to-market. Qualifications: Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. Preferred Additional Skills: Knowledge using Verilog for Logic Design. Programming experience in C for embedded systems, including development of algorithms, manipulation of data structures, and implementing highly optimized code. Experience with lab tools: Logic Analyzers, oscilloscopes, JTAG/ICE debuggers and protocol analyzers Familiar with hardware, software and firmware development methodologies to ensure quality and time-to-market (design verification, code reviews, unit testing, prototyping and product testing). Familiar working with code version control repository tools, such as Subversion (SVN), GIT or TFS. Digital Design practices and principles, logic design and architecture and experience with HDL's (i.e Verilog, VHDL). Knowledge using SystemVerilog for verification with AVM, VMM, OVM, or UVM a plus Developing C# source code targeting Bare-Metal Microcontroller Development. Good English knowledge (speech and writing); Be action-oriented and organized; Ability to handle short notice needs/requests L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Job Description Java Developer Employment Type: Full-Time Department: Information Technology CGS is seeking a Java developer/programmer to join a team working on the enhancement of data utilization for a large, state-run project. The developer will be asked to aggregate data from several different existing sources and prepare plans for how this data can be collected, processed, stored, and reported on. The candidate for this position should have a strong understanding of large-scale enterprise systems and have a demonstrated expert knowledge of Java coding and web applications including Java Server Faces Framework. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting edge technology. To carry out our mission, we are seeking candidates that are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - Collaborate with business analyst and developers to produce software designs - Provide work estimates to project manager, provide frequent status updates and track progress against the project work plan - Formulate program specifications and basic prototypes - Transform software designs and specifications into high functioning code in the appropriate language - Integrate individual software solutions to higher level systems - Use web-based tools to create and advance applications - Test code periodically to ensure it produces the desirable results and perform debugging when necessary - Collaborate with business, development, and QA teams to develop testing and acceptance procedures - Perform upgrades to make software and systems more secure and efficient - Collaborate with business analyst to provide training, knowledge transfer, and documentation for user support Qualifications: - Three (3) Years of experience developing Java web applications using the Java Server Faces Framework - Five (5) Years of experience in Java web application user interface design and implementation including HTML, CSS, and Javascript - Three (3) Years of experience integrating Java web applications with SQL databases using Hibernate - Three (3) Years of SQL relational database design and coding experience - Five (5) Years of experience developing software both independently and in a team environment - Ability to demonstrate superior organizational skills with an acute attention to detail - Ability to work effectively under pressure in time-sensitive situations and prioritize multiple projects with similar deadlines Our commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting edge technology with world-class personnel to deliver customized solutions that fit our clients' specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years we've been growing our government-contracting portfolio, and along the way we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran Join our team and become part of meaningful government innovation! Explore additional job opportunities with CGS on our Job Board: -our-team/ For more information about CGS please visit: or contact: Email: 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 Senior Software Engineer - Modeling and Simulation Location: Onsite in Columbia, South Carolina. Or remote only in the following locations: Fayetteville, Arkansas; Washington, DC; or Philadelphia, PA. What we do Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs at the speed of relevance. Company Benefits Base salaries which exceed local & national industry averages. Year-end performance-based bonuses. 401(k) with company matching that vest immediately. Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Meaning Integer standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving its employee's thousands of dollars annually. Relocation assistance available. Paid vacation, sick leave, and holidays. Paid bereavement and parental leave. Hybrid schedule: Mondays and Fridays are optional to work from home or in the office. Company Perks Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company. Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth. Friendly atmosphere where people enjoy not only their work and what they're creating but enjoy helping each other as well. Bottomless Coffee About the Role Integer Technologies is seeking a Senior Software Engineer reporting to the Digital Twin and Controls Engineering Manager within the Digital Engineering Division. This role will implement the research and development of novel approaches for representing machinery system performance as part of a larger effort to improve the performance and cybersecurity of machinery controls for defense applications. Integer's products use digital engineering tools to support decision-making and optimization of large and complex integrated defense machinery systems. The Digital Twin and Controls team is focused on building digital twin-based controls platforms for advanced machinery applications. The goals of these controls platforms are optimizing system performance, improving system resilience, and reducing the cognitive burden of the users. This role will extend the development of the models and simulation frameworks to support the improvement of the performance and cyber-physical resilience of advanced digital twin controls systems and will require a balance of software engineering, cybersecurity, and multi-physics modeling and simulation of machinery systems. Objectives of this role: Analyze technical needs for digital twin control systems, elicit actionable system requirements and develop robust software focusing on emulating physical systems and simulating notional machinery. Create scalable software platforms and applications, as well as efficient networking solutions, that are unit tested, code reviewed, and checked regularly for continuous integration. Identify and resolve issues in hardware and software systems, collaborating with cross-functional teams as needed. Responsibilities Develop multi-physics computer models that accurately represent real-world systems Apply physics-based and data-driven modeling techniques Integrate models into full digital twin workflows for analysis and prediction Architect scalable software frameworks that support digital twin functions Collaborate using version control workflows with Git across multidisciplinary teams Ensure smooth integration with live data streams from physical assets, sensors, or emulated equipment Integrate models with analysis workflows to support real-time and faster-than-real-time decision making Optimize trade-offs between simulation speed, accuracy, and system resource constraints Conduct research on cutting-edge engineering topics where no current solutions exist Document findings in a clear, accessible format for both technical and non-technical audiences Work with teams of engineers and subject-matter experts on complex systems Demonstrate a growth mindset, continuously expanding technical and domain-specific skills Remain current with advancements in digital twin technologies and modeling tools Exhibit organization and detail orientation while managing complex tasks Required Qualifications Must be a U.S. Citizen with the ability to obtain and maintain a U.S. DoD Secret Clearance Bachelor's degree in software engineering, electrical engineering, mechanical engineering, computer science, or a related technical discipline 5+ years of professional software engineering experience-ideally building control systems, digital twins, or embedded applications Proficiency working with computer modeling and simulation environments (e.g., MATLAB/Simulink, Modelica, or similar) in one of the following domains: Electrical Power and Energy Systems Thermal-Fluid and Cooling Systems Machinery and Electromechanical Control Systems Proficiency in a high-level programming language such as Python, C/C++, Java or others, with experience using scientific computing and numerical libraries. Experience with software engineering principles, including object-oriented design, data management, multi-threading/multi-processing, and collaborative source control using Git. Experience with debugging and optimizing solver performance, including convergence and stability issues Experience writing software to interface with and process data streams from physical hardware, sensors, or network sources. Excellent problem-solving skills and attention to detail. Excellent communication and teamwork skills to collaborate effectively across departments. Desired Qualifications Masters or PhD in a relevant engineering or computer science discipline. Proficiency developing software solutions for defense applications. Proficiency in software engineering principles, including object-oriented design, data management, multi-threading/multi-processing, and collaborative source control using Git. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) or numerical optimization methods. Experience with database design and management (e.g., SQL, NoSQL). Experience designing software solutions utilizing multiple network communication protocols (e.g., TCP/IP, SSL, TLS, DDS, REST) or hardware interface standards (e.g., CAN bus, Modbus). Experience with parallel computing for high-performance simulations Experience with real-time simulation platforms (e.g., OpalRT, Typhoon HIL, Speedgoat). Experience with software testing methodologies, including unit testing, integration testing, and continuous integration (CI/CD). Experience with simulation solver technologies and numerical integration methods. Experience with front-end development for data visualization. Screening questions Are you able to gain and obtain a Government Security Clearance; which consists of being a US Citizen? Are you currently located or are you willing to explore relocation to Columbia, SC, and be in office on a Hybrid schedule (3 days a week)? How many years of experience do you have in software development? How many years of experience do you have in modeling and simulations development (e.g., physics-based simulations)

Job Description Job Description Software Engineering Manager City/State: Colorado Springs, CO USA Type and Schedule: Full-Time, Salary/Exempt, on-site with limited remote work flexibility. Annualized Salary Range: $170,000 - $215,000 commensurate with experience. About Us: Caliola is an award-winning woman-owned small business that is improving and protecting our Nation's way of life through secure collaboration and resilient communications. Our engineers, subject matter experts, and veterans are developing and delivering trusted solutions for mission-critical communications. We seek teammates who share our core values: I 3 for C 3 - Insight, Innovation, and Integrity for Command, Control, and Communications These values guide how we work every day. At Caliola, you will find technically challenging, mission-focused work within a flexible and collaborative culture that is uncommon in the defense industry. We offer flexible PTO, subsidized health insurance, 401(k) matching, professional development, and a competitive compensation structure designed to support long-term growth. Position Description: Caliola is seeking a Software Engineering Manager to lead and grow our software team as we scale our business and the mission-critical technologies we deliver. This is an exciting opportunity for a technically strong, people-focused leader who enjoys developing engineers, solving complex problems, and building the processes and practices that help great teams do their best work. You'll lead engineers developing innovative software for mission-critical communications, alternate positioning, navigation, and timing (A-PNT), and secure mesh networking. As Caliola continues to grow, you'll play a critical role in helping our software team scale with it. Working closely with the VP of Engineering, you'll strengthen development and testing practices, establish consistent and repeatable processes, develop technical talent, and improve how we plan, execute, and deliver software across multiple programs. You'll also help shape our approach to AI-enabled development and quality assurance, identifying opportunities to use emerging technologies to improve efficiency, consistency, and quality. We're looking for a leader who brings deep technical understanding, sound judgment, and a genuine passion for helping engineers succeed. Someone who can dive into technical challenges, identify and remove roadblocks, coach engineers through complex problems, and bring structure and accountability without sacrificing innovation or collaboration. If you're energized by growing a team, building scalable engineering practices, and helping shape the future of a growing defense technology company, this is an opportunity to make a meaningful and lasting impact. Essential Responsibilities: Leadership, Management & Accountability (LMA) Provide leadership, management, and accountability for the software engineering team, establishing clear expectations, monitoring performance, removing roadblocks, and ensuring alignment with organizational and program priorities. Coach, mentor, and develop software engineers and emerging technical leads, fostering a culture of technical excellence, collaboration, ownership, and continuous improvement. Partner with engineering leadership and HR on staffing, hiring, performance management, professional development, and organizational growth. Resource Planning Plan and allocate software engineering resources across active programs, future awards, and internal development efforts, balancing staffing, technical capabilities, schedules, budgets, and competing priorities. Monitor team capacity, project dependencies, and resource constraints, proactively identifying risks and adjusting assignments to support program commitments and organizational growth. Software Development Process Define, document, standardize, and continuously improve software development processes across the organization, including Agile practices, coding standards, code reviews, testing, quality assurance, and release management. Lead the adoption of consistent development and testing practices, providing training, guidance, and accountability to ensure processes are effectively implemented across teams and programs. Oversee software development execution, maintaining

Job Description About the role DataAnnotation is looking for experienced bench scientists to evaluate how frontier AI models handle real laboratory work: experimental design, assay QC, troubleshooting a failed run, reading raw instrument output, deciding whether data are usable. You bring the judgment you have built at the bench. We bring the model outputs that judgment is needed to grade. In this role, you will design challenging, realistic tasks drawn from your own practice, such as a plate QC and go or no go call on a cell based assay, a flow panel gating review, a cloning strategy check, or a Western blot interpretation with the raw images, run them through frontier AI agents, and evaluate what comes back against a professional standard. You will work with realistic professional files, the kind a scientist in your field actually handles: experimental data, protocols, records, reports and correspondence. Some you will assemble yourself; others will be provided. In every case the goal is the same: a task a competent scientist in your field would complete correctly and a frontier model currently gets wrong. This is not a traditional lab or analysis role. You will be helping build better AI by putting your knowledge to work in a structured, flexible, fully remote environment. The work is long form and self directed, and clear written reasoning matters as much as technical depth. Responsibilities Design challenging, realistic experimental biology tasks drawn from your own day to day workflows: the scenario, a prompt phrased the way you would brief a trusted colleague, and the supporting files an agent would need (plate maps and reader output, instrument exports, gel and blot images, flow summaries, protocols and SOPs, notebook entries, QC records, correspondence), using files you author yourself or files that are provided to you. Run those tasks through frontier AI agents and evaluate the deliverable they produce (the QC summary, experimental plan, troubleshooting memo, or results workbook) against the standard you would hold a colleague to. Compare two model outputs on identical prompts and files, decide which performed better, and document where each fell short. Write detailed grading rubrics that specify what a correct deliverable must contain, such as the right controls checked, the right wells excluded and the right diagnosis of a failed run, and explain in writing why a response passes or fails each one. Flag concrete failures with evidence: controls ignored or misread, edge effects and outliers missed, wrong normalization to a reference, a plausible sounding troubleshooting story the raw data contradict, fabricated values, ignored files, and off brief interpretation of the ask. Contribute across molecular and cell biology, protein biochemistry, immunology and flow cytometry, imaging and histology, microbiology and virology, in vivo and preclinical work, and laboratory operations and analytical sciences, and review and refine tasks built by other experts. Domain qualifications 3+ years designing and running experiments at a pharma or biotech lab or an academic research lab (counted after undergraduate education). Depth of experience in at least one of: molecular biology and cloning; cell culture and cell based assays; protein biochemistry; immunology and flow cytometry; imaging and histology; microbiology or virology; in vivo and preclinical work. Working understanding of several of the other areas above, enough to know what those workflows involve and how they are run (for example, a protein biochemist who also understands how a cell based assay is set up and controlled, and how a flow panel is designed and gated), so you can assess work in adjacent areas and point out what was done correctly or incorrectly. You have designed and troubleshot experiments, not only executed established SOPs. You can explain what each control is for and diagnose why a run failed. You generate and QC primary data. You can look at raw instrument output and judge whether a run is usable before anyone makes a figure from it. General requirements Master's or PhD, or a current PhD candidate, in Biology or a directly related field (molecular or cell biology, genetics, immunology, neuroscience, biochemistry, bioinformatics, or computational biology), completed in the U.S., Canada, Europe, or the UK. 3+ years of hands on experience in your subfield (see Domain qualifications above). Time in an academic lab or research institute counts after undergraduate education. Able to draw on your own real world experience and day to day workflows to craft scenarios that test whether an AI system can actually do the work. Hands on practitioner: you currently do (or recently did) the bench or analysis work yourself at an individual contributor level, not solely in a managerial capacity. Full professional or native level written and spoken English, with strong written communication. You can explain complex scientific reasoning clearly and concisely, and articulate why a result is wrong, not only that it is. Comfort with ambiguity and attention to detail. You can orient in a new set of files and build an accurate, deep working picture of it quickly, especially when the science sits partly or wholly outside your own specialization. You verify what a document claims against the underlying data. Capable of interpreting feedback, judging which parts of it are actually correct, and applying it without hand holding. When stuck, you look for the answer rather than waiting for one. Ability to ramp quickly on unfamiliar work from written material and instructions alone, including where that material is incomplete (for example, writing grading rubrics for the first time). General familiarity with AI and LLM tools. You have used models like Claude or ChatGPT in life sciences professional work and have the judgment to tell a well reasoned answer from a plausible sounding but incorrect one. Baseline tech literacy: comfortable with cloud file tools (e.g., Google Workspace), managing browser profiles, downloading and installing desktop apps (e.g., Claude), and everyday file handling (e.g., converting between Excel and Google Sheets, zipping files for sharing). Available at least 10 hours per week, with no weekly maximum. Consistent availability is valued and more hours are welcome. Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted). Compensation and terms Pay: $40 - $125/hr USD. Paid via PayPal on a regular cadence. Contract position. Fully remote. Minimum 10 hours per week with no weekly maximum. Flexible scheduling. Multi day task timers let you spread work across days. Access to Claude and ChatGPT is provided through the project; no personal subscription is required. What to expect Apply through the posting link and create your account. Complete the paid skills assessment (about 4 hours). It tests domain fit, careful reading, task design, rubric judgment and your response to feedback on a prompt. All work must be your own; submissions produced with AI tools are rejected, and this is the single most common reason candidates do not pass. Our team reviews your assessment. If you pass, you complete onboarding and a short training project that walks through how tasks, files, and rubrics are built. Propose a task from your professional experience: the scenario, the prompt, the files you will build or choose to use, and where you expect the model to fail. An expert reviewer reads it and sends written feedback either way. Once your proposal is accepted, build the task in full and run it against frontier models. Every completed task goes through expert review, and experienced contributors are invited to review and refine other experts' tasks. Each stage is a gate: work must be accepted before you move on. You are compensated for every step you complete, but not every submission is accepted. Feedback and revision are a normal part of the process. Support is available through platform instructions, onboarding materials, a dedicated Slack channel, and office hours. About DataAnnotation DataAnnotation works with frontier AI labs building the world's most advanced models, with the goal of enabling human aligned AI. Our expert programs bring together practicing professionals to evaluate and improve what these models can do in their fields. DataAnnotation believes that human expertise is essential to building trustworthy AI. We don't want AI training AI. We want real scientists in the room. If you have a strong life sciences background and want to put it to work in a new way, we'd love to hear from you.

Job Description Job Description Artificial intelligence is changing war - making decisions in combat quicker and more accurate, while enabling information to be shared more rapidly across both America's and her adversaries' militaries. Modern Intelligence builds Sovereign, the first defense-purpose foundation AI for unmanned systems, to be the standard battlefield AI on every Western unmanned system. Today, Sovereign allows drones as varied as unmanned vessels on water to backpack attack quadcopters to see, decide, and act even when jammed. We believe the responsibility of reliably and ethically building lethally autonomous AI is immense to our service members, the American people, and civilians everywhere. Modern Intelligence has worked with partners across the Department of War including the Air Force, Navy, Marine Corps, Special Operations Command (SOCOM), the Office of the Under Secretary of War for Research and Engineering, and countless unmanned systems hardware companies. We have raised more than $22M in venture capital from Exponential, Oxford Funds, Bedrock, Vine Ventures, Contrary, Air Street, Caffeinated, Champion Hill, Swell, Myelin, and others. Details Modern Intelligence is hiring its first dedicated designer to set the future brand direction across all digital and physical media. Working with the executive team and marketing team, you'll produce the following: Brand book and guidelines Presentation decks Video artifacts and assets Social and campaign graphics The marketing site Product pages Sovereign's operator app UI Trade-show booths and banners Digital and physical one-pagers Merchandise This role is on-site in Austin. Requirements 3+ years of professional experience as a designer (brand, visual, product, or hybrid), with shipped work in both digital and physical media. A portfolio of shipped work: decks or presentations, web or product UI, and some print, booth, or environmental pieces. Ability to design for a technical B2B or defense / dual-use product and explain choices to founders and engineers without design jargon. Experience working with marketing and with founders acting as marketing, on campaigns, events, and a brand system. Experience building digital pages with AI, such as standalone landing pages, product pages, a marketing site, or similar campaign pages. Proficiency in Figma, Canva, and Photoshop, from concept through production files. Must be a U.S. person (U.S. citizen, lawful permanent resident, or other protected individual as defined by 8 U.S.C. 1324b(a)(3 . This role may work with export-controlled technology and controlled messaging. Preferred Qualifications Experience at a defense, dual-use, aerospace, autonomy, robotics, or deep-tech company, or an agency whose clients were in those spaces. Prior or current title as Brand Designer, Visual Designer, Creative Designer, or a similar hybrid role. Experience with marketing-site layout systems, component pages, and light UI polish for an operator or enterprise app. Illustrator and InDesign for one-pagers, booth graphics, and merch. Relationships with printers, booth fabricators, or production partners you would bring with you. Presentation templates and masters in Google Slides and current AI presentation tools. Short-form motion for social and campaigns in After Effects or Jitter. Experience designing brand books and guidelines. Enough front-end literacy to build marketing and landing pages on your own. Compensation Specifics Final offer depends on demonstrated experience Equity is granted on top of base for every full-time role. Benefits Full medical for employee and family Full dental and vision for employee and partial coverage for your dependents. Generous and flexible PTO Paid Holidays: All federal holidays + last two weeks of the calendar year Paid Parental Leave: 12 weeks Modern Intelligence builds Sovereign: edge targeting software for unmanned systems. You'll be our first dedicated designer, setting visual direction across all mediums. If you're hungry and move with agency, apply with your portfolio. 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 Cybersecurity Operations Lead - Security Operations Center (SOC) Location:Columbia, SC Onsite Interview Process: 1 round, Virtual/Online Duration: 12 Months Employment Type: Contract Experience Required: 10+ Years Candidate location: Candidate MUST be a SC resident. No relocation allowed. Project Scope: We are seeking an experienced Cybersecurity Operations Lead to help mature and advance the organization's Security Operations Center (SOC) capabilities. The role will work directly with the Chief Information Security Officer (CISO) to drive innovation and strengthen cybersecurity threat detection, monitoring, and incident response capabilities across enterprise systems, including on-premises and cloud-based infrastructure and critical applications. The successful candidate will provide technical leadership, oversee security incident response, mentor SOC analysts, support advanced threat hunting, and continuously improve security operations processes and procedures. This is an ongoing project with aggressive timelines. Candidates must be productive, flexible, self-directed, and comfortable working in a fast-paced environment where responsibilities may evolve. Team members are expected to deliver quality work with minimal supervision. Key Responsibilities: Security Operations Leadership Drive innovation and maturity of Security Operations Center capabilities. Serve as an escalation point for SOC Analyst I, II, and III. Provide leadership, mentorship, and technical guidance to SOC analysts. Lead and mentor the Security Operations team, ensuring analysts are trained and motivated. Assist with staffing Security Operations personnel. Lead security team projects and continuous improvement initiatives. Threat Monitoring and Incident Response Oversee the identification, analysis, and response to security incidents. Ensure rapid incident containment, investigation, and resolution. Perform threat identification and analyze cybersecurity risks to the Medicaid Enterprise. Support the implementation and advancement of continuous monitoring and incident response processes. Assist with advanced threat hunting to identify potential attacker presence within the environment. Review and refine security playbooks, processes, and alerts to identify improvement opportunities. Security Collaboration and Compliance Work with IT, application development, and business teams to advance enterprise security initiatives. Collaborate with compliance teams to maintain audit-ready status. Support cybersecurity threat monitoring and incident response across on-premises and cloud-based systems. Help evaluate and implement effective security practices, tools, and technologies. Required Skills & Experience: 10+ years of IT experience working with Windows, Linux, and web-based applications. 5+ years of experience in enterprise infrastructure design and deployment. 5 years of related experience in a SOC Lead capacity. Broad understanding of enterprise cybersecurity operations, threat monitoring, and incident response. Experience leading or guiding Security Operations analysts. Strong understanding of security incident handling, threat identification, and response processes. Ability to work independently and manage multiple deliverables within defined deadlines. Preferred Skills: Experience identifying, testing, and leading remediation efforts related to: OWASP Top Ten CWE/SANS Top 25 Most Dangerous Software Errors Previous experience performing penetration testing and vulnerability assessments in organizations subject to FISMA or similar compliance requirements. Experience working with enterprise Governance, Risk, and Compliance (eGRC) systems. Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Cloud certification, such as CASP+. Network security certifications. Required Certifications Candidates must hold any one or a combination of the following certifications: Certified Information Systems Security Professional (CISSP) GIAC Certified Incident Handler (GCIH) CompTIA Security+

Job Description Job Description Start Date: Immediate JHNA, CTSi, and EXPANSIA have come together to form a Defense Technology platform named Aether Aerospace focused on delivering high-impact technologies, technology-enabled services and advanced manufacturing solutions to the U.S. Department of Defense and related national security customers. Backed by Falfurrias Management Partners, the platform brings together deep domain expertise across Army, Navy, and Air Force and Space Force programs, digital engineering, systems integration, and specialized manufacturing capabilities. The combined organization operates as a multi-entity aerospace and defense technology and tech-enabled services and manufacturing enterprise positioned for scalable growth, operational excellence, and long-term value creation OVERVIEW Full-time/Permanent Employee Location: Remote, preferred Boston, MA or Dayton, OH As an Information System Security Officer III, you will play a critical role in the certification and accreditation of computer networks and standalone information systems in accordance with government security standards. You will be responsible for developing, maintaining, and implementing System Security Plans while ensuring compliance with contractual and regulatory security requirements. Your role includes overseeing daily security operations for both classified and unclassified information systems, conducting vulnerability assessments, and implementing necessary security controls. You will collaborate closely with program managers and system security engineers to support all phases of the system development lifecycle. Additionally, you will be responsible for security compliance, risk assessments, and mitigation strategies to protect sensitive information. Your expertise in security measures and policies will help safeguard systems and ensure business continuity while maintaining compliance with government regulations. RESPONSIBILTIES Perform certification and accreditation of computer networks and standalone systems following government security standards Develop, maintain, and implement System Security Plans that align with customer contractual and regulatory requirements Oversee and manage daily security operations for classified and unclassified information systems Conduct vulnerability testing and security assessments to verify compliance with security controls and government standards Work closely with program managers and system security engineers throughout the system lifecycle to support security objectives Implement security measures in accordance with ICDs, NISPOM, and other government security regulations Provide security briefings and training to employees, stakeholders, and government officials regarding system security access Manage security compliance processes, ensuring all classified system components, environments, and locations adhere to government standards Assist the Information System Security Manager in reporting and mitigating security incidents and implementing corrective measures Implement procedures for marking, handling, controlling, transporting, sanitizing, reusing, and destroying classified media and equipment Maintain proficiency with security assessment tools such as WASSP, MBSA, and Nessus to strengthen security posture Develop and implement facility procedures that govern system security and ensure compliance with policies and best practices Provide technical support to operational strategies aligned within your program and initiatives that optimize processes, enhance productivity, and ensure quality across all program functions Ensure 100% of planned hours are worked and recorded Identify and forward to your leadership any opportunities that could lead to growth within your work area Participate in growth efforts as requested Ensure all contractual deliverables are met/exceeded to the customer's satisfaction Complete personal PDP and attend Company Meetings (with camera on) Within your program, build productive and positive professional relationships with clients Execute all contract requirements as assigned in accordance with the contract-specific LCAT and requirements Perform other related duties as assigned KEY QUALIFICATIONS Clearance: Active TS/SCI clearance Education and Years of Experience: Bachelor's (or equivalent) with 5 - 7 years of experience, or a Master's and 3 to 5 years of experience Strong knowledge of government security policies and standards, including NISPOM and ICDs Experience conducting security vulnerability assessments and implementing security controls Proficiency with security assessment tools such as Nessus, MBSA, and WASSP Ability to develop, implement, and manage System Security Plans and compliance documentation Strong background in the certification and accreditation process for classified and unclassified information systems PREFERRED ADDITIONAL QUALIFICATIONS CISSP or DoD 8570-1 certification (or actively working towards certification) Experience supporting classified information systems security programs Strong understanding of security risk management and mitigation techniques Knowledge of cybersecurity frameworks and incident response best practices Proficiency in security compliance reporting and documentation best practices There are a host of factors that can influence final salary including, but not limited to, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications. Our employees value the flexibility Aether Aerospace allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our unique mix of benefits options is designed to support and protect employees and their families. Employment benefits include health and wellness programs, income protection, paid leave and retirement and savings. Aether Aerospace is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.