R&D Software Engineer at webAI | Austin, TX

About Us:webAI is at the forefront of revolutionizing artificial intelligence, creating the first distributed AI infrastructure focused on personalized AI solutions. Understanding the dynamic requirements of a data-centric world, we are committed to enabling scalability and flexibility through edge computing, bringing computation closer to data sources. Our vision is to ensure that a company's critical data and intellectual property remain private, facilitating the deployment of extensive AI models on standard consumer hardware without compromising sensitive information. We are developing an all-encompassing platform that is secure, scalable, and entirely user-controlled, empowering businesses with AI that is tailored to their unique needs. Our team is driven by the values of integrity, accountability, perseverance, and humility. We invite passionate individuals who align with these principles to join us in shaping the future of AI.About the Role:As an R&D Software Engineer, you will play a pivotal role in driving innovation at webAI. You will swiftly transform groundbreaking research and conceptual ideas into effective prototypes. This position is perfect for a highly skilled and imaginative engineer who excels in dynamic environments and thrives amid uncertainty. Collaborating closely with research scientists, engineers, and product stakeholders, you will bring theoretical advancements in AI to fruition through proof-of-concept projects and feasibility assessments. Your contributions will significantly shape future product strategies and technical directions across our platform.Key Responsibilities:Quickly design, construct, and evaluate software and AI prototypes for novel technologies and product concepts.Convert theoretical AI and ML research into tangible, testable applications.Develop proof-of-concept demonstrations to validate feasibility and convey value to internal stakeholders.Perform feasibility studies, benchmarking, and performance assessments of new methodologies.Engage in cross-functional collaboration with research, engineering, and product teams to align prototypes with strategic objectives.Iterate and enhance prototypes based on feedback, testing insights, and evolving technical specifications.Document design processes, experimental outcomes, and technical findings for internal knowledge sharing.

Special Notice: This position is not dependent on project awards or funding sources. Join webAI for full-time employment.About Us: At webAI, we are pioneers in the field of artificial intelligence, focusing on distributed processing at the edge. Our goal is to create an environment where sensitive data and intellectual property remain secure, enabling the use of advanced AI models on standard consumer hardware without risk. We are on a mission to develop a comprehensive platform that prioritizes security, scalability, and user control, allowing businesses to leverage AI tailored to their specific needs.About The Role: We are seeking a talented Senior Systems Engineer skilled in Rust, or a Systems Engineer with extensive experience in P2P technologies, to advance our Public Sector projects. This role is essential in creating secure and resilient AI infrastructures. If you are proficient in backend systems languages but lack Rust experience, please consider our Peer to Peer Systems Engineer position. This role will also involve integrating our distributed AI technology with existing systems in various languages including Go, Swift, Python, and C++.Your responsibilities will include designing and implementing robust synchronization and networking systems that ensure reliable AI operations across diverse environments, from edge devices to secure government cloud systems, while maintaining the highest standards of performance, reliability, and data privacy.

webAI develops distributed AI infrastructure for personalized applications, with a focus on keeping computation close to where data originates. By doing so, the company helps protect sensitive information and intellectual property, allowing large AI models to run directly on consumer hardware without exposing critical data. The platform is designed to be secure and end-to-end, giving users control while meeting business operational needs. Core values at webAI include truth, ownership, tenacity, and humility. Role overview The AI Software Engineer role centers on high-performance computing and machine learning inference. The primary focus is to translate theoretical AI models into practical, efficient, and reliable software. This includes managing production environments, optimizing for low latency, maintaining system reliability, and ensuring data integrity throughout the process. What you will do Turn AI model concepts into operational, high-quality software Manage and monitor production environments for performance and reliability Optimize systems for low-latency inference and robust data handling Maintain data integrity and system stability in real-world deployments Requirements Experience in low-level systems programming Background in machine learning and practical inference Understanding of hardware-aware optimization Comfort working onsite at the downtown Austin, TX headquarters Alignment with webAI’s values: truth, ownership, tenacity, and humility

About Us:At webAI, we are at the forefront of revolutionizing artificial intelligence through the creation of the first distributed AI infrastructure designed specifically for personalized AI solutions. As data-driven needs evolve, we are committed to innovating scalable and flexible architectures, believing that the future of AI is rooted in distributed processing at the edge, which brings computation closer to the data source.Our mission focuses on safeguarding valuable data and intellectual property, facilitating the deployment of large-scale AI models on standard consumer hardware without compromising the integrity of the information within these models. We are constructing a comprehensive platform that is secure, scalable, and fully controllable by our users, empowering businesses with AI that comprehends their unique requirements.Our team is driven by core values of truth, ownership, tenacity, and humility, and we are looking for passionate individuals who align with these principles and are eager to contribute to the next generation of AI.About the Role:We are on the hunt for a Staff DevOps Engineer to design, build, and scale secure infrastructure for deploying AI workloads across both cloud and edge environments. This high-impact role will see you as a pivotal individual contributor, shaping infrastructure strategy, leading technical initiatives, and serving as a subject matter expert in cloud architecture, security best practices, and platform reliability.In this role, you will craft scalable, automated infrastructure solutions that ensure our AI platform operates seamlessly across a variety of deployment scenarios, from public cloud to on-premises and edge computing setups. Your deep technical expertise and architectural mindset will be crucial as you translate complex requirements into production-ready infrastructure automation.

About Us:At webAI, we are at the forefront of artificial intelligence, building a revolutionary distributed AI infrastructure focused on personalized AI solutions. We understand the urgent need for scalability and flexibility in a data-driven world and believe that the future of AI is rooted in distributed edge processing—bringing computation closer to data generation. Our mission is to create a landscape where companies can maintain the privacy of their valuable data and intellectual property while deploying powerful AI models on standard consumer hardware, all without compromising the integrity of the information within those models. We are constructing a comprehensive platform that prioritizes security, scalability, and user control, enabling businesses to harness AI that truly understands their unique needs. Our team is guided by principles of truth, ownership, tenacity, and humility, and we are in search of passionate individuals who share these values and are eager to shape the future of AI.About the Role:We are on the hunt for a talented Senior DevOps Engineer to architect, build, and enhance our secure infrastructure that supports AI workloads across both cloud and edge environments. This pivotal role requires a high-impact individual contributor who will influence our infrastructure architecture, enhance platform reliability, and establish security best practices across the organization.You will collaborate closely with engineering teams to deliver scalable, automated infrastructure solutions that facilitate the efficient operation of our AI platform in various deployment scenarios, ranging from public cloud to hybrid and edge environments. The ideal candidate will possess deep technical expertise, hands-on production experience, and the capability to convert complex requirements into robust infrastructure systems.

Special Notice:This position is a full-time opportunity with webAI and is not contingent on project awards or funding sources.About Us:At webAI, we are pioneering the future of artificial intelligence through innovative distributed processing solutions at the edge. Our vision is to ensure that valuable data and intellectual property remain private while enabling large-scale AI models to run on standard consumer hardware. We are building a secure and scalable end-to-end platform that empowers enterprises with AI tailored to their unique business needs.About The Role:We seek a talented Systems Engineer to support our Public Sector initiatives, focusing on creating secure, distributed, and resilient AI infrastructures. Ideal candidates will be well-versed in Peer-to-Peer (P2P) systems. A strong understanding of decentralized and distributed systems is essential, particularly in environments that prioritize trustless interactions. Experience with technologies resembling IPFS or torrents is highly desirable.Responsibilities:Utilize backend programming languages to design and implement synchronization and networking systems that facilitate reliable AI operations across diverse environments, including edge devices and isolated government systems, while ensuring optimal performance, reliability, and data privacy.Develop robust data synchronization frameworks using advanced techniques such as content addressable storage, Merkle trees, CRDTs, and erasure coding.Lead efforts in performance tuning, debugging, and optimizing distributed software under resource-constrained and intermittently connected conditions.Implement security-first designs through thorough threat modeling, secure key management, and integration of cryptographic principles and protocols.

webAI develops distributed AI infrastructure to support personalized solutions. The company emphasizes scalable and adaptable systems that process data near its source, helping protect both sensitive information and intellectual property. Its platform enables organizations to run large AI models on everyday consumer hardware while keeping embedded data secure. Integrity, accountability, resilience, and humility guide the team’s work, and webAI seeks individuals eager to shape the direction of AI technology. The AI Research Scientist role is based in downtown Austin within webAI’s Intelligence Lab. This position focuses on designing original AI models and tackling practical challenges in the field. Success depends on both creative problem-solving and the measurable impact of developed models. Collaboration with engineers and research leaders is central, and the team values frequent experimentation as they build efficient, privacy-conscious systems. Main Responsibilities Algorithm Development: Create and train new model architectures, including Transformers, State-Space Models, and Diffusion models, to address complex business needs. Experimental Design: Lead hypothesis testing, establish evaluation benchmarks, and define loss functions that align with human intent. Literature Engagement: Keep up with research on ArXiv and participate in conferences such as NeurIPS, ICML, and CVPR to apply or extend recent findings. Prototyping: Develop proof-of-concept models that demonstrate improvements in accuracy, speed, or reasoning. Knowledge Sharing: Document research outcomes and methodologies to support ongoing team learning and collaboration.

About Us:At webAI, we are at the forefront of artificial intelligence innovation, establishing a pioneering distributed AI infrastructure tailored for personalized AI solutions. We acknowledge the growing demands of a data-driven world that necessitates both scalability and flexibility. Our vision centers on distributed processing at the edge, which allows computation to occur closer to data generation sources. Our mission is to create a future where valuable corporate data and intellectual property are kept entirely confidential, enabling large-scale AI model deployment on standard consumer hardware without compromising sensitive information. We are building a comprehensive platform that is secure, scalable, and fully user-controlled, providing enterprises with AI solutions that cater to their specific business needs. Our team embodies the values of truth, ownership, tenacity, and humility, and we actively seek individuals who share these principles and are driven to shape the future of AI.About the Role:As an AI Research Scientist, you will play a vital role in the development of next-generation AI models and systems at webAI. Your responsibilities will include designing, training, evaluating, and optimizing cutting-edge machine learning models such as large language models, multimodal architectures, and on-device inference systems. You will collaborate closely with research leadership, applied AI teams, and platform engineering to push the boundaries of scientific discovery while ensuring that our innovations have a tangible impact in the real world.This position is ideal for someone who thrives on experimentation, enjoys tackling complex challenges, and is committed to creating powerful, efficient, and privacy-preserving AI technologies.

Join NODA AI as an Autonomy Engineer (AI)Location: Austin, TX (Hybrid with up to 20% travel)Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance.About NODA AINODA AI is a pioneering, veteran-owned technology firm dedicated to revolutionizing the collaboration of unmanned systems in complex, mission-critical scenarios. Our innovative solutions are at the forefront of autonomous orchestration across diverse domains, including air, sea, land, and space, serving essential functions in the defense, intelligence, and commercial sectors.Our autonomy engineers are vital in bridging the gap between high-level AI-driven mission objectives and effective real-world execution, enabling UAVs, USVs, and UUVs to operate seamlessly in challenging environments. By joining our team, you will contribute to transformative technology that redefines the limits of autonomy in a collaborative, fast-paced atmosphere.The RoleAs an Autonomy Engineer, you will be instrumental in designing and implementing the autonomy stack that drives adaptive multi-vehicle orchestration. Your expertise will focus on mission planning, path generation, behavior execution, and task allocation within diverse fleets.You will work at the convergence of AI reasoning frameworks, ROS2-based autonomy stacks, and distributed multi-agent systems to ensure mission intent is executed reliably and adapted to real-world conditions. Success in this role demands a robust technical foundation in robotics, practical systems thinking, and a fervor for delivering dependable autonomy solutions.Key ResponsibilitiesDesign and implement autonomy modules, including path planning, task allocation, behavior trees, and reactive execution models.Develop and maintain the autonomy framework that interconnects with orchestration (AI-driven mission planning) and world modeling.Ensure AI-generated plans are executable, explainable, and safe across multi-domain robotic platforms.Implement and validate navigation, control, and autonomy behaviors for UAVs, USVs, and UUVs using ROS2 and simulation environments.Profile and optimize autonomy performance for edge compute hardware (e.g., Jetson, Raspberry Pi-class devices).

About webAI webAI builds distributed AI infrastructure designed for personalized solutions. The company focuses on processing data at the edge, keeping computation close to where data is generated. This approach supports scalable, flexible systems that protect company data and intellectual property. The platform enables large-scale AI model deployment on standard consumer hardware while maintaining security and user control. webAI’s team values truth, ownership, tenacity, and humility, and seeks colleagues who share these principles. Role Overview: Director of Applied Artificial Intelligence The Director of Applied AI leads the design, development, and delivery of advanced AI solutions for public sector and enterprise clients. This leadership role involves managing a team of engineers and applied scientists, delivering essential AI capabilities, and building solutions on distributed AI infrastructure. The director works closely with clients to understand their needs and translate them into scalable, effective AI systems. Key Responsibilities Lead and mentor a multidisciplinary team of engineers and applied scientists Design, develop, and implement AI solutions tailored for enterprise and public sector clients Architect new approaches using distributed AI infrastructure Collaborate with clients to understand requirements and deliver impactful systems Guide applied research strategy and ensure alignment with customer missions and business goals What We Look For Strong technical background in AI and distributed systems Exceptional leadership and communication skills Proven experience delivering projects in high-stakes or rapidly changing environments Ability to mentor and develop team members Alignment with webAI’s values: truth, ownership, tenacity, and humility Location Austin, TX

About GoodLeap:GoodLeap is an innovative technology firm focused on providing premier financing and software solutions for sustainable products, including solar panels, batteries, and energy-efficient systems such as HVAC, heat pumps, roofing, and windows. With a mission to enhance accessibility and affordability in sustainable technology, we have successfully assisted over 1 million homeowners through our seamless technology. Thousands of professionals in the solar and home efficiency sectors utilize GoodLeap’s proprietary AI-driven applications and developer tools to foster transparent customer communication, gain deeper business insights, and streamline operations and payment processes. Since our inception in 2018, our platform has facilitated over $30 billion in financing for sustainable initiatives. Additionally, GoodLeap is proud to support our award-winning nonprofit, GivePower, which is dedicated to creating and deploying life-saving water and clean electricity solutions that have transformed the lives of more than 1.6 million individuals across Africa, Asia, and South America.Position OverviewWe are seeking a highly skilled Staff AI Engineer to join our dynamic team. In this role, you will be instrumental in developing, maintaining, monitoring, and scaling our AI products and components. You will leverage engineering best practices to cultivate a culture of software quality and operational excellence across the organization. Collaborating closely with Product Managers and stakeholders, you will contribute to defining the product roadmap and shaping our overarching technical strategy.

About MeritFirstAt MeritFirst, our mission is to transform the way organizations identify and evaluate talent, transcending traditional biases. We challenge outdated metrics of capability by implementing objective, merit-based assessments, and aim to reconstruct the meritocratic framework of opportunity from the ground up.Role OverviewAs a Software Engineer at MeritFirst, you will play a key role in designing, testing, and deploying innovative software solutions tailored to our users' needs. You will carry features from conception to live deployment, contributing to real-time assessments, AI workflows, and essential tools that empower hiring managers to build exceptional teams. Your contributions will redefine how organizations discover and nurture talent across various sectors, establishing a new benchmark for merit-based hiring.What You’ll DoTake full ownership of features: Collaborate with our CEO, partners, and end-users to define project scope and develop user experiences.Leverage Next.js and TypeScript to build applications, manage data with Postgres/Drizzle, deploy on Vercel, and continuously iterate.Influence product strategy: Suggest experiments, intelligently prioritize features, and utilize data and user feedback to inform future developments.Ensure system efficiency: Implement analytics, write tests, review pull requests, and enhance performance and developer experience.

Join us in transforming the connection to social care.At findhelp, we have developed an extensive suite of products and services designed to facilitate connections between individuals and essential resources. Our platform empowers users to navigate their journey and measure the impact of their engagements efficiently and effectively. Our unparalleled social care network encompasses over half a million local, state, and national programs, ensuring that every ZIP code in the nation has access to vital services, from rural communities to bustling cities.Headquartered in Austin, Texas, findhelp has been at the forefront of enabling healthcare, government, education, and various organizations to link individuals to the social care resources they require, with a commitment to privacy and security, since our inception in 2010.As a mission-driven entity, our focus remains on fostering positive impacts by connecting those in need with the programs that dignify and support them. Our proprietary technology has already assisted millions of Seekers in locating food, health, housing, and employment resources.As a Senior Staff Software Engineer at findhelp, you will be instrumental in enhancing our platform, seamlessly integrating our nationwide social services network. You will collaborate with a cross-functional development team, engaging closely with various departments to deliver high-quality products that meet user needs. Your leadership will be characterized by a positive attitude, a strong work ethic, and substantial contributions to both the technical and cultural dimensions of engineering, all driven by a profound understanding of user impact. You will also have the opportunity to mentor junior engineers, fostering their growth and the overall advancement of the company.

About webAI webAI develops distributed AI infrastructure designed for personalized solutions. The company focuses on processing AI closer to where data is created, aiming for scalability and flexibility while protecting data privacy and intellectual property. Enterprises use webAI’s secure platform to deploy AI models on standard consumer hardware without exposing sensitive information. Integrity, accountability, perseverance, and humility guide the team’s work. webAI welcomes those who share these values and want to help shape the next era of AI technology. Role Overview: Director of AI Research The Director of AI Research leads advanced research efforts at webAI, covering large language models, multimodal systems, edge inference, and distributed AI. This leader sets the scientific direction for core technologies and works closely with engineering leadership to bring new research into production. What You Will Do Supervise and mentor research teams Develop long-term research strategies Design new model architectures Drive innovations that shape the webAI platform and enhance model performance Collaborate with engineering to move research into production systems Who Thrives Here This position suits a proactive leader with a strong vision for the future of private, distributed AI. Individuals who value integrity, accountability, perseverance, and humility will find a strong fit with the webAI team. Location Austin, TX

Join our innovative team at findhelp as an Engineer II. In this role, you will play a vital part in developing cutting-edge solutions to enhance our platform. We are looking for a talented individual who thrives in a collaborative environment and is eager to contribute to meaningful projects that make a difference in our community.

AI/ML Engineer – NODA AILocation: Austin, TX (Hybrid work model, with up to 20% travel required)Clearance Requirement: U.S. Citizenship with eligibility to obtain a security clearanceAbout NODANODA is a veteran-owned, venture-backed technology firm dedicated to revolutionizing the collaboration of unmanned systems in intricate, mission-critical settings. We are at the forefront of developing cutting-edge solutions that facilitate the autonomous management of diverse unmanned systems across air, sea, land, and space, with essential applications in defense, intelligence, and commercial industries.As an AI/ML Engineer, you will be engaged in pioneering work in autonomous intelligence, crafting and deploying AI agents that effectively align mission intent with real-world execution through sophisticated reasoning frameworks and multi-domain orchestration capabilities.Joining NODA means becoming part of a team that values innovation, rapid iteration, and collaboration, working on impactful technology that advances the field of autonomy.The RoleWe are looking for a talented AI/ML Engineer to design and implement intelligent agents that facilitate adaptive mission planning and orchestration across multi-domain unmanned systems. This position will center on LLM orchestration frameworks, agent reasoning systems, and deploying AI models in edge computing environments on autonomous vehicles.You will develop systems that convert high-level mission objectives into actionable autonomous behaviors, adapt plans dynamically as situations evolve, and provide clear reasoning to human operators. Your contributions will integrate seamlessly with our ROS autonomy stack while ensuring dependable AI performance on resource-limited edge hardware.Key ResponsibilitiesDesign and implement LLM orchestration frameworks for mission planning and task decomposition across varied vehicle fleets.Create agent reasoning systems that connect high-level mission goals with executable autonomy commands.Optimize and quantize large language models and agent frameworks for deployment on edge computing hardware (e.g., Jetson, companion computers).Oversee the entire lifecycle of AI agents, including model versioning, prompt engineering, tool integration, and memory management.Develop human-in-the-loop workflows that ensure transparent and explainable AI reasoning for operators.

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

Join ICON as a Senior Software Engineer specializing in AI/ML within our innovative BuildOS team. ICON is at the forefront of transforming residential construction through advanced software solutions. The BuildOS platform integrates cutting-edge machine learning technologies into architectural design and construction, paving the way for the homes of tomorrow. Reporting to the Senior Director of Software, this position is based in vibrant Austin, TX.In this pivotal role, you will collaborate with some of the industry's most talented architects and engineers, gaining hands-on experience with state-of-the-art models to tackle unique challenges. Your contributions will significantly shape the future of housing by driving applied AI initiatives in building compliance and regulatory domains. You will leverage Natural Language Processing (NLP) and document reasoning techniques to streamline the evaluation of architectural designs against building codes in both commercial and governmental contexts, deploying multi-agent AI systems to navigate complex, domain-specific regulations.

About Us: At webAI, we are pioneering the first comprehensive private AI platform tailored for enterprises and governments, enabling them to harness AI capabilities directly on their data. Our unique approach to artificial intelligence emphasizes specialization, sovereignty, efficiency, and sustainability, addressing real-world challenges rather than simply increasing computational demands. Our innovative technology empowers the creation of robust AI systems using minimal data, defying the conventional belief that vast datasets are essential for unlocking AI's potential. Join us to be part of a rapidly expanding team that values a dynamic and growth-focused work environment, where your contributions can lead to meaningful advancements for society.About the Role: We are in search of a highly skilled Senior Staff Machine Learning Engineer specializing in Large Language Models (LLMs) and Mixture of Experts (MoEs). The ideal candidate will possess a solid history of developing and successfully deploying cutting-edge AI models.Responsibilities: Drive the advancement and refinement of Large Language Models and Mixture of Experts systems.Collaborate effectively with interdisciplinary teams to embed machine learning models into our platform.Engage in pioneering research within the machine learning domain, focusing on enhancing the performance and efficiency of LLMs.Keep updated with the latest trends and breakthroughs in AI and machine learning, applying insights to enhance our models and practices.Mentor junior engineers, fostering knowledge sharing and promoting best practices within the team.Qualifications: Ph.D. or advanced degree in Computer Science or a related discipline.Established track record of innovation and contributions to the field, evidenced by publications or substantial industry experience.A minimum of 6 years of hands-on experience in machine learning, with specialized knowledge in Large Language Models and Mixture of Experts.Proficient programming skills in Python along with experience using machine learning frameworks such as TensorFlow and/or PyTorch.Proven ability to lead complex projects and collaborate effectively in a team-oriented environment.

Join our dynamic and innovative team at leverdemo-8 in Austin, Texas, where we are dedicated to pushing the boundaries of technology.As a Software Engineer, you will play a crucial role in designing, developing, and maintaining software solutions that meet the needs of our diverse departments. This role involves collaborating with cross-functional teams, engaging in problem-solving, and contributing to the overall success of our engineering initiatives.