Software Gigs

As a Data Developer, you will design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data platforms that integrate enterprise systems and support AI/ML initiatives for the U.S. Navy. You will perform data engineering tasks including cleansing, transformation, and optimization of SQL and Apache Spark workloads on AWS, while also developing predictive models and generative AI solutions using Python-based technologies. You will build interactive dashboards and visualizations in Tableau or Qlik, translating technical findings into actionable insights for stakeholders. An active Secret clearance, U.S. citizenship, and a bachelor's degree in a technical field (or 4+ years of relevant professional experience) are required.

This Senior AI Software Program Manager role owns end-to-end planning, execution, and delivery of AI-based product programs—managing schedules, scope, budget, and resources while translating organizational strategy into product roadmaps. The individual coordinates across product management, technology teams, systems, and software leads to ensure timely, quality delivery; manages risk mitigation and stakeholder reporting; and drives process improvements and compliance across interdepartmental efforts. The role requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, plus four years of related program or project management experience.

Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams. Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.

The Data Architect is a hands-on technical leader responsible for designing and modernizing enterprise data architecture across on-premises and cloud platforms. The role defines scalable data models, cloud-native integration patterns, and architectural standards supporting analytics, reporting, and digital banking applications. This position combines strategic architectural vision with practical expertise in designing, implementing, and optimizing modern data systems across structured, semi-structured, and unstructured workloads. The architect provides technical leadership to Data Engineers and cross-functional teams while ensuring secure, resilient, and high-performing data environments.

As a Performance Analyst on the Performance and Risk Adjustment team, you will conduct chart reviews to code for diagnoses and quality, generate reports on workflow, production, and performance metrics, and participate in improvement initiatives with Provider Relations and health plans. You'll audit charts for HCC diagnoses and quality codes, interface with coding vendors, monitor compliance with IHA/NCQA/CMS requirements, and serve as a user expert for department software systems. The role requires familiarity with healthcare coding standards, quality monitoring processes, and the ability to track audit data and recommend training opportunities to improve provider network performance.

Design and optimize video analysis and quality assessment algorithms for next-generation video codec hardware accelerators (FPGA/ASIC). Implement C-models and firmware for advanced video encoding, collaborating across algorithm, architecture, software, and hardware teams. Apply machine learning techniques including deep learning frameworks and transformer architectures for ROI detection, content understanding, and feature extraction. Integrate algorithms into production VOD/live streaming workflows and validate impact through A/B testing and objective quality metrics (VMAF, PSNR, SSIM).

As a Performance Analyst on the Performance and Risk Adjustment team, you will conduct chart reviews to code for diagnoses and quality, generate reports for workflow and performance monitoring, and participate in improvement initiatives with Provider Relations and health plans. You'll audit and interface with coding vendors, manage software systems testing, track compliance audit data, and stay current on IHA/NCQA/CMS requirements. The role requires familiarity with healthcare coding standards, data tracking systems, and quality assurance processes.

This role supports Naval Air Systems Command (NAVAIR) at NAS North Island, California, developing and maintaining configuration management systems, tools, and documentation for RDT&E lab environments. Responsibilities include managing cybersecurity configuration toolsets, creating and modifying CM plans and policies, maintaining configuration baselines and libraries, and collaborating with IT operations teams. The candidate will use tools such as Jira Projects, Jira Helpdesk, SharePoint, Microsoft Planner, and Power Apps to track controlled documentation and support change control processes across the system lifecycle.

As Business Systems Analyst at Luminize, you'll design and build automation infrastructure that enables the company to manage 80+ brands without proportional headcount growth. You'll partner with department leads to identify high-impact manual workflows, architect custom tools across Google Workspace (Apps Script, Sheets, Docs, Forms), and integrate platforms like Asana, HubSpot, Looker Studio, and Slack. You'll also identify and build production AI workflows using LLMs (Gemini, Claude, ChatGPT) for tasks like client feedback categorization and document parsing. The role requires 5+ years of business process improvement or systems integration experience, strong proficiency in Google Apps Script (JavaScript) and no-code platforms (Zapier or Make.com), and hands-on knowledge of REST APIs, webhooks, and LLM APIs.

Lead end-to-end product management for advisor-facing AI experiences within LPL Financial's AI Business Solutions team. Own product vision, roadmap, and delivery lifecycle from opportunity framing through commercialization and scaled adoption. Define advisor chat and agentic AI capabilities, evaluate third-party AI vendors, and ensure measurable business impact aligned to enterprise OKRs. Collaborate in a four-in-a-box model with Technology, Business, and Operations & Risk to co-design product definitions, data contracts, evaluation frameworks, and governance documentation.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and internal workflows. The role involves implementing end-to-end AI pipelines using AWS services (SageMaker, Lambda, ECS/EKS, S3), building feature engineering workflows in Snowflake, and collaborating with cloud and MLOps teams. Candidates need 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, proficiency in Python and frameworks like PyTorch or Hugging Face Transformers, and hands-on cloud deployment experience. The position requires monitoring model performance, ensuring security and compliance, and supporting AI architecture reviews.

Design and build large-scale multimodal foundation models that integrate high-dimensional biomedical imaging with molecular and language data. You will implement cross-domain data fusion strategies, develop high-performance ML pipelines for petabyte-scale datasets, and collaborate with scientists and engineers to translate biological complexity into scalable, production-ready code. The role requires deep expertise in Computer Vision architectures, distributed training frameworks, and expert Python proficiency. You will contribute through high-impact publications or open-source work and demonstrated ability to handle the noise and sparsity inherent in biological data.

As a Product Software Engineer, you will develop and integrate software for Qualcomm products spanning smartphones, computing devices, automotive infotainment, and IoT systems. You will own software integration tasks including component integration, build automation, version control management, and baseline releases. You will perform sanity testing on-target and in simulation environments, debug failures using tools like JTAG and ADB, automate test scenarios, and collaborate with cross-functional engineering teams on design and code reviews.

Qualcomm seeks a Machine Learning R&D leader to design and deliver Agentic AI systems for hardware design automation. The role combines hands-on technical execution with team leadership, requiring deep expertise in generative AI, large language models, and ML/AI product development. Responsibilities include architecting end-to-end ML solutions, coaching an interdisciplinary team of researchers and engineers, and bridging research prototypes into production design tools. The ideal candidate brings PhD-level credentials, 2+ years of industry ML/GenAI experience, and proven expertise in agentic AI frameworks, foundation models, and complex ML software pipelines.

This intermediate-level role develops AI-enhanced decision systems for government sponsors, applying machine learning, large language models, and decision science to mission-critical problems. You will design, prototype, and evaluate AI solutions in cross-functional teams, lead R&D initiatives, and work hands-on with modern AI techniques including deep learning, reinforcement learning, generative AI, and multi-agent systems. The role requires 2+ years of hands-on ML experience (or 1 year with a Master's degree) and proficiency in Python and/or C++, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

As Business Systems Analyst at Luminize, you will design and build automation infrastructure across Google Workspace, Asana, HubSpot, and Looker Studio to manage workflows for 80+ e-commerce brands without proportional headcount growth. You'll own process discovery and redesign, architect custom integrations using Google Apps Script, Zapier, and Make.com, and identify opportunities to deploy LLMs (Gemini, Claude, ChatGPT) for analysis, categorization, and document parsing. You will also drive adoption through documentation, SOPs, and end-user support while managing shared infrastructure governance with IT. The role requires 5+ years in business process improvement or systems integration, strong Google Apps Script and no-code platform skills, and hands-on experience with REST APIs, webhooks, and AI tools.

Design and optimize video analysis, quality assessment, and encoding algorithms for hardware-accelerated video codec solutions (FPGA/ASIC). Develop C-models and firmware for real-time video processing, implementing algorithms for ROI detection, content understanding, frame-level rate control, and objective quality metrics. Collaborate with infrastructure and platform teams to integrate algorithms into production VOD and live-streaming workflows, validate performance through A/B testing, and optimize end-to-end video quality. The role requires strong programming skills in C/C++ or Python, knowledge of video quality standards (VMAF, PSNR, SSIM), and ideally experience with deep learning frameworks, video codecs, or embedded real-time systems.

Configuration Management Analyst supporting Naval Air Systems Command at NAS North Island, responsible for developing and maintaining configuration management systems, CM plans, and cybersecurity toolsets for RDT&E lab environments. Duties include lifecycle management of hardware and software configuration items, maintaining a configuration management library (lab accreditation artifacts, change control, network diagrams, incident reports), and collaborating with IT operations to ensure accurate configuration information. Requires 3+ years of configuration management experience, proficiency with Atlassian Jira, Microsoft SharePoint, Planner, Office 365, and Power Apps, plus strong organizational and analytical skills.

Junior AI Software Developer supporting Navy cybersecurity and mission operations in San Diego. You will participate in problem discovery with mission stakeholders, contribute to technical solution design, and deliver hands-on implementation of scripts, APIs, automation, and AI/LLM-enabled workflows. Work involves integrating systems via REST/HTTP APIs, writing and testing Python code, using version control, and documenting technical solutions for both technical and non-technical audiences while adhering to RMF, security controls, and responsible AI practices in classified or controlled environments.

Senior AI Software Developer who will design, implement, and integrate AI/LLM-enabled solutions and automation for Navy cybersecurity and mission workflows. You'll work in small, multidisciplinary teams translating mission requirements into technical approaches, delivering hands-on code (Python, APIs, data integration), and ensuring solutions align with RMF, security controls, and compliance boundaries. The role blends advisory conversations with focused implementation of secure, deployable systems that reduce cyber risk and improve operational efficiency. Success requires 4+ years of software development or integration experience, Python proficiency, API and data store expertise, cloud or enterprise deployment knowledge, and ability to communicate across technical and non-technical stakeholders.

As a client-facing data analyst, you'll work with Department of the Navy clients to understand their data needs, transform complex structured and unstructured data into actionable insights, and advise on how findings impact DoD acquisition programs and IT modernization. You'll use tools like Tableau, Python, R, or SQL for data manipulation; Databricks or Spark for data engineering; and Power Apps/Power Automate for automation. You must hold or be able to obtain a Secret clearance and have 4+ years of DoD client experience.

As a Cybersecurity Engineer and Risk Analyst, you will develop and implement security solutions to protect military systems, performing vulnerability assessments, risk analysis, and security compliance testing across networks, systems, and applications. You'll work with DoD Risk Management Framework (RMF) processes, manage security assessment and authorization activities, and use tools like eMASS, ACAS, and STIG scanning to identify threats and implement infrastructure controls. The role requires 4+ years of IT experience with a DoD or government agency, 4+ years leading Navy RMF activities, and 3+ years implementing security controls and performing vulnerability remediation. You'll communicate security complexities to technical and non-technical audiences while supporting critical Navy mission areas.

Senior individual contributor responsible for end-to-end demand forecasting across Intuit's Global Business Solutions Group portfolio. Build and maintain predictive models incorporating time-series analysis, regression, causal inference, and ML techniques to translate business signals into accurate, decision-ready demand forecasts at multiple granularities. Conduct A/B/n experiments to validate modeling choices, quantify forecast risk through scenario analysis, and act as trusted partner between technical teams and business stakeholders (Workforce Management, Capacity Planning, Finance, Marketing, Product) to ensure forecasts drive downstream capacity and expense planning. Continuously advance forecasting methodology, evaluate where AI/ML meaningfully improves accuracy, and support real-time in-season re-forecasting and analytics.

An AI Software Developer at Booz Allen Hamilton will design, implement, and integrate AI-enabled automation and analytics solutions for Navy cybersecurity and mission workflows. The role requires hands-on Python development, API integration, and secure system design in classified or controlled environments, with close collaboration between cybersecurity specialists, engineers, and mission stakeholders. Success demands translating mission requirements into technical tasks, delivering credible implementations (not slide-only recommendations), and operating within RMF, compliance, and secure engineering practices. The ideal candidate combines software engineering rigor (version control, code review, testing) with AI/LLM experience and the ability to work in small, structured teams on multidisciplinary problem-solving.

Join Axos Bank's Data Engineer Rotational Program as a first-career technologist gaining multi-platform exposure in data engineering. You will focus on SQL-based solutions, creating SSIS packages for data transformation, writing and maintaining SQL jobs and stored procedures, and performing data quality validation and testing. Through rotations across database development, data quality, and business intelligence reporting, you'll develop enterprise-level solutions while working with cross-functional teams on Salesforce, Marketing Cloud, and omnichannel platforms. The role requires a bachelor's degree in IT, Computer Science, or related field, with basic to intermediate SQL Server knowledge.