Trabajos kernel en New York, New YorkCrear alertas

Senior AI Engineer - Google AI & Generative Intelligence Job Number: 26-00855 Ready for a rewarding opportunity in the Financial Services Industry? ECLARO is looking for a Senior AI Engineer - Google AI & Generative Intelligence for our client in Paramus, NJ. ECLARO's client is a market-leading insurance company, providing property, casualty, and specialty insurance services within the United States. If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: A highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI. Brings 10–15 years of broad software engineering experience, with the last 4 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices. Responsibilities: Large & Small Language Model Engineering: Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks. Work with open-source/self-hosted LLMs including Mixtral (Mistral AI). Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments. Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA. Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development. Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. Google AI & Workspace Integration: Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse. Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK). Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping. Utilize Google Cloud Platform (GCP) services including: Vertex AI for ML model training, tuning, and deployment GKE (Google Kubernetes Engine) for container orchestration Cloud Run for serverless deployment Cloud Functions for event-driven AI tasks Vertex AI Vector DBs for semantic search and retrieval Design & Planning: Lead requirements gathering using Confluence for documentation and team collaboration. Create detailed system architecture diagrams and AI workflows using Lucidchart. Design UI/UX prototypes in Figma for AI-powered application interfaces. Manage project delivery and sprint planning using Jira. Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows. Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing. Leverage Hugging Face Model Hub for model comparison, selection, and download. Development Frameworks & Tools: Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph. Build multi-agent systems with Semantic Kernel, and LangGraph. Manage and optimize prompts using LangSmith and PromptLayer. Deploy models locally with Ollama or at scale with vLLM for efficient inference. Track experiments, metrics, and results with MLflow or Weights & Biases. Manage code and data versioning with Git. Vector Databases & Semantic Search: Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB. Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. Backend Development: Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js). Manage and secure APIs using Mulesoft, Apigee. Frontend Development: Build modern user interfaces using React or Angular. Utilize Material-UI for consistent, accessible, and modern UI components. Prototype and plan UI/UX workflows using Figma. Development Tools & Code Quality: Write and debug code in VS Code with Python and GitHub Copilot extensions. Leverage GitHub Copilot for AI-assisted code suggestions and productivity. Manage source code with GitHub or GitLab. Enforce code quality and standards using SonarQube, ESLint, and Pylint. Testing & Quality Assurance: Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation. Use LangSmith Evaluators for prompt testing and hallucination detection. Write and execute unit tests using pytest. Ensure output quality and reliability using LangChain Evaluators and custom metrics. Deployment & Infrastructure: Orchestrate containers at scale with Kubernetes (K8s), and Google GKE. Automate CI/CD pipelines using GitHub Actions or GitLab CI. Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. LLM Monitoring & Observability: Monitor LLM performance and usage with LangSmith and Weights & Biases. Track and optimize AI infrastructure costs using OpenMeter and custom dashboards. Set up continuous evaluation pipelines to ensure ongoing model quality and reliability. Monitor application and model performance end-to-end with LangSmith observability tools. Required Qualifications: 10–15 years of overall software engineering experience. 5 years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems. Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations. Proficiency in Python (primary) and familiarity with Node.js. Strong background in cloud-native development on GCP. Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks. Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices. Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph. Preferred Qualifications: Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect). Contributions to open-source AI/ML projects. Experience with edge AI deployments and hybrid cloud-edge inference. Familiarity with synthetic data generation pipelines. Prior experience mentoring junior engineers or interns in AI/ML domains. If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Henry Zuniga henry.zuniga@eclaro.com 2122582147 Henry Zuniga | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

VetsEZ is in search of a Senior VistA MUMPS Developer, a unique opportunity to contribute to the Department of Veterans Affairs (VA) Health Data Management (HDM) project. This role involves managing a diverse range of software products, middleware platforms, system integrations, and health data integrations, with a specific focus on the VistA electronic health record system. The candidate must reside within the continental US. Responsibilities: • Write, modify, and maintain clean, scalable MUMPS code for the VistA system., • Implement new functionalities based on user requirements and propose system enhancements., • Maintain system performance and address security vulnerabilities., • Address defects, produce bug fixes, and remediate POA&M’s., • Integrate VistA with other healthcare systems, ensuring seamless data exchange using HL7 and other protocols., • Design, develop, and manage databases within the VistA environment., • Provide technical support, troubleshoot issues, and communicate system functionalities to users., • Participate in code reviews, quality assurance activities, and enhance the M-Unit framework with the VistA-Kernel module., • Keep up to date with MUMPS programming and healthcare IT advancements. Requirements: • Bachelor’s degree in information technology, Computer Science, Electronics Engineering, or other Engineering or technical discipline., • 8 plus years of experience in IT and/or Federal Government contracting., • Proven experience as a MUMPS developer within VistA., • Kernel Experience to include: TaskMan, MenuMan, Alerts, KIDS, • Experience with FileMan and MailMan, • RPC Broker experience, to include the client and server. (Client is written in Delphi and is known as the Broker Development Kit, the server is written in Mumps), • Familiarity with Agile frameworks and regression testing., • Excellent analytical and organizational skills., • An ability to understand front-end users' requirements and a problem-solving attitude., • Results-oriented and committed to delivering high-quality software on time. Additional Qualifications: • Ability to obtain a government clearance., • SAFe/Scrum certification is preferred. Benefits: • Medical/Dental/Vision, • 401k with Matching, • Corporate Laptop, • PTO + Federal Holidays, • Training opportunities, • Remote work options Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

We are continuously expanding the capabilities of SentinelOne, actively listening to customers and responding to their needs. We are looking for a Senior macOS Software Engineer who will be directly involved in our core technology and help ensure we stay ahead of cybercriminals. At SentinelOne, you will be a part of a team of globally distributed system and kernel developers who work deeply within the 3 main OS’s of the world: Windows, Linux, macOS. The macOS team is responsible for researching and identifying emerging issues and providing appropriate responses. The engineering team will work closely with Product, Support, Sales, R&D, and Quality Assurance to ensure any new issues are quickly addressed and then made a part of the ongoing releases. You will be working directly on our macOS core technology in a role that will also involve responding to events that occur in the field, root causing them, and issuing patches when needed. You will participate in the implementation and design decisions for improving the agent architecture and developing new features. Required: • 4+ years of software development experience, with dedicated experience on macOS, • Strong proficiency coding in Objective-C, • Understanding of macOS user space and internals, • Experience in systematically root-causing complex OS systems Advantages: • Experience developing OS drivers & system extensions is a plus, • Experience managing escalations or issues requiring highly coordinated efforts to identify service restoration, • Experience with system performance analysis and mitigations, • Cybersecurity experience or exposure to macOS endpoint security platforms, • Experience with large-scale event processing systems, • Swift experience is beneficial but not required

VetsEZ is in search of a VistA MUMPS Developer, a unique opportunity to contribute to the Department of Veterans Affairs (VA) Health Data Management (HDM) project. This role involves managing a diverse range of software products, middleware platforms, system integrations, and health data integrations, with a specific focus on the VistA electronic health record system. The candidate must reside within the continental US. Responsibilities: • Write, modify, and maintain clean, scalable MUMPS code for the VistA system., • Implement new functionalities based on user requirements and propose system enhancements., • Maintain system performance and address security vulnerabilities., • Address defects, produce bug fixes, and remediate POA&M’s., • Integrate VistA with other healthcare systems, ensuring seamless data exchange using HL7 and other protocols., • Design, develop, and manage databases within the VistA environment., • Provide technical support, troubleshoot issues, and communicate system functionalities to users., • Participate in code reviews, quality assurance activities, and enhance the M-Unit framework with the VistA-Kernel module., • Keep up to date with MUMPS programming and healthcare IT advancements. Requirements: • Bachelor’s degree in information technology, Computer Science, Electronics Engineering, or other Engineering or technical discipline., • 8 plus years of experience in IT and/or Federal Government contracting., • Proven experience as a MUMPS developer within VistA., • Kernel Experience to include: TaskMan, MenuMan, Alerts, KIDS, • Experience with FileMan and MailMan, • RPC Broker experience, to include the client and server. (Client is written in Delphi and is known as the Broker Development Kit, the server is written in Mumps), • Familiarity with Agile frameworks and regression testing., • Excellent analytical and organizational skills., • An ability to understand front-end users' requirements and a problem-solving attitude., • Results-oriented and committed to delivering high-quality software on time. Additional Qualifications: • Ability to obtain a government clearance., • SAFe/Scrum certification is preferred. Benefits: • Medical/Dental/Vision, • 401k with Matching, • Corporate Laptop, • PTO + Federal Holidays, • Training opportunities, • Remote work options Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Sorry, we are unable to offer sponsorship at this time.

AI Engineer "Building financial foundations for families to empower them today and leave a legacy for tomorrow". Experior Financial Group Inc. is looking for a driven AI Engineer to join a small, high-impact AI development team focused on building intelligent systems, automation, and data-driven insights across our technology ecosystem. The ideal candidate is a strong hands-on developer with a deep curiosity for emerging AI technologies and a desire to contribute to the design and development of scalable AI solutions. As a member of our team, you will enjoy a positive work environment and be part of a dynamic group that values dedication and enthusiasm. We offer excellent opportunities for career development to those who are committed and strive for excellence. Responsibilities • Collaborate with the CTO, AI consultant, and development team to design and deploy robust, scalable AI/ML architectures, • Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms, • Experiment with new LLMs, embeddings, vector databases, and orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar), • Lead hands-on development/ prototyping of LLM-based applications, intelligent agents, and automation workflows, • Define AI architecture standards, establish model governance, and contribute to the long-term AI strategy in collaboration with the CTO, • Partner with business and technical leaders to translate strategic AI goals into actionable engineering initiatives, • Design systems for high availability, scalability, and efficient deployment in cloud environments (Azure, AWS, or GCP), • Create technical documentation, architecture diagrams, and playbooks for deployment and scaling of AI solutions, • Participate in code reviews, mentor junior developers, and foster a culture of innovation and excellence in AI engineering, • Stay at the forefront of emerging AI frameworks, APIs, and tools, bringing forward practical innovations to enhance our products and systems Qualifications • 5+ years of professional software development experience required, • 3+ years of building or designing AI/ML systems is required, • Proficiency in Python, C#, or similar programming languages, • Hands-on experience with LLMs, vector databases, embeddings, and prompt orchestration, • Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel, etc.) and cloud ecosystems (Azure AI, AWS SageMaker, GCP Vertex AI)., • Experience developing and integrating data pipelines, APIs, and AI inference service, • Strong analytical thinking, communication, and collaboration skills, • Ability to balance hands-on technical work with high-level system design and strategic planning, • Curiosity and drive to stay ahead of emerging AI tools, frameworks, and trends, • Must reside and be authorized to work in the USA What Experior Financial Group Inc. can offer you: • Work-life balance with paid vacation and sick days, • Competitive compensation, • Comprehensive medical, dental, and vision benefits, • Flexible work options, • Career growth and development opportunities, • Diverse team environment, • Straight day shifts with no weekends, • Company events and celebrations, • Tuition reimbursement, • Company-provided equipment Salary Range - $120,000 - $150,000 USD annually The compensation range reflects a data-driven estimate of starting base pay for full-time (40 hours per week) employment. Individual pay may vary based on geographic location, job related skills, knowledge, experience, education etc. Experior Financial Group Inc. has been certified a Great Place to Work 2025-2026!

Description: VAST Data is looking to add a V-Force Developer to our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. VAST Data is looking for a top debugger and developer to join the V-Force team in RTP, NC! The V-Force team is the tip of the sword addressing and debugging critical customer issues and implementing quick fixes and enhancements for our customers. The V-Force team is part of the R&D team and no only works on customer escalations, but also supports customer feature requests, customer POCs and is key to sales enablement. This job requires a special type of person that enjoys understanding complex customer issues and requirements. Requirements: VAST is building the highest-performing file system in the world. This requires innovating all the way into the Linux operating systems that require accessing data at unlimited bandwidth and low latency. We are forming a new team focused solely on Kernel development, collaborating with the upstream community, and setting new industry standards for fast file systems. Requirements System programming in C/C++. Solid networking knowledge (OSI network layers, TCP/IP) Python/Git- advantage Knowledge block-level Storage/file systems — advantage BSc/MSc degree in Computer Science, Engineering or equivalent

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: The OS Core Team at PsiQuantum works closely alongside engineers and scientists in the electronics, system architecture, and validation teams and is responsible for building the scalable, distributed, fault-tolerant control plane and operating system for utility scale photonic quantum computers. Our team is responsible for orchestration, scheduling, kernel architecture, co-design, calibration, validation, providing abstractions, systems, and operating software for the immense heterogenous fabric of co-processors, networks, and photonics that are critical to the success of our company’s goal of building the world’s first useful quantum computer. As a Senior Software Engineer, Calibration & Control you will design and implement algorithms, controls, and software that keep our quantum processors in spec 24×7x365. Responsibilities: The core of our system revolves around a high performance, scalable graph database which contains critical information to control and manage PsiQuantum computing systems. Your role is to scale and extend the current core database systems to support the massive increase in size complexity of our systems. Daily functions: Data systems design and implementation. Participate in design and code reviews. Collaborate across software, hardware, and research teams at PsiQuantum. Testing and maintenance of database software. Champion and serve as an exemplar of good software development practices at PsiQuantum. Experience/Qualifications: 15+ years experience with Python or C++ in a system software context. Design and implementation of large scale distributed storage systems, emphasis on graph databases. Proven track record of developing and shipping reliable, performant software in a high scale or mission critical context. Bachelors degree in a technical discipline preferred, or equivalent experience. Ways to stand out: Experience in graph database systems such as Nebula, neo4j. Experience in high performance computing and data design. Experience in computer architecture. Experience in high performance networking. Experience with highly scalable distributed systems in a reliability and up-time critical environment. PhD in a related technical discipline is a plus but not required. [We are open to adjusting the compensation to experience level] Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to _. We are not accepting unsolicited resumes from employment agencies. The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located. Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's qualifications including relevant education and training, competencies, experience, geographic location, and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future. U.S. Base Pay Range $180,000 - $205,000 USD Bay Area Pay Range $200,000 - $220,000 USD

The Opportunity We are hiring Senior ASP. NET Engineers to work on Code Builder, one of WISEcode’s most strategic and technically interesting products. Code Builder is a production-grade platform that allows complex nutrition logic — rules, formulas, thresholds, transformations, and AI-assisted interpretation — to be assembled, executed, and evolved across hundreds of thousands of real foods. It sits at the intersection of: • Large-scale, proprietary nutrition data• Deterministic computation and scoring pipelines• AI-assisted data acquisition and interpretation• Rich, stateful, data-intensive user interfaces built in _ Blazor. This is not a greenfield demo and not a thin UI over APIs. It is a serious system, already in active use, with real architectural depth and room to grow. We are looking for senior engineers who enjoy stepping into sophisticated systems, understanding how they work, and making them better. About the Role As a Senior Software Engineer, you will be a hands-on contributor to Code Builder and adjacent platform components, with a strong focus on and Blazor You will work in a mature, evolving codebase where: • Architectural patterns already exist• Data models are deep and nuanced• Correctness matters• Performance matters• Changes must be thoughtful, not reckless Senior Engineers at WISEcode are expected to get productive quickly, navigate complexity confidently, and deliver high-quality features without needing constant direction. You will collaborate closely with Principal Engineers who define system direction, while owning meaningful pieces of execution yourself. What You’ll Work On • Building and evolving rich, data-driven Blazor UIs that power Code Builder’s workflows• Implementing features that combine deterministic nutrition logic with AI-assisted insights• Working with complex domain models representing foods, ingredients, nutrients, processing, and health signals • Extending _ APIs and services that execute and orchestrate nutrition computations at scale• Integrating AI outputs responsibly into user-facing and internal workflows• Navigating and improving a large, long-lived production codebase• Debugging and optimizing behavior across UI, application logic, and database boundaries This is a role for engineers who enjoy thinking through real-world complexity, not abstract toy problems. What Success Looks Like Within the first few months, you are: • Comfortable navigating a large, sophisticated codebase• Shipping production features independently• Confidently working in Blazor without friction• Making sound decisions about when to refactor vs. extend existing systems• Contributing to a shared understanding of how Code Builder works and how it should evolve Required Qualifications • 6–10+ years of professional software development experience• Strong, hands-on experience with and modern C#• Production experience with Blazor (Server or WebAssembly)Experience working in large, long-lived codebases• Solid understanding of application architecture and layered systems• Experience with relational databases, ideally Postgres• Familiarity with Entity Framework Core or similar ORMs• Comfort reasoning across UI, API, and database layers• Ability to work independently while collaborating effectively with senior technical peers• Pragmatic engineering judgment — you value correctness, clarity, and maintainability Nice to Have • Experience working with complex domain models or rule-based systems• Exposure to AI/ML-powered features or data pipelines• Experience with performance tuning or profiling in _ / Blazor• Background in data-intensive or analytics-heavy products• Enterprise authentication and authorization systems• Microsoft Semantic Kernel, MCP Server SDK, Agent Framework Why This Is a Great Place for a Senior Engineer • Work on a mission-critical product built in _ Blazor, not a side UI• Solve real problems at the intersection of AI, data, and deterministic systems• Learn how large-scale, high-stakes computation platforms are designed and evolved• Collaborate with Principal Engineers who care deeply about architecture and clarity• Build systems that help make nutrition — and health — more transparent and understandable• Competitive compensation, benefits, and clear paths for growth WISEcode is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, please send a request to WISEcode Human Resources at _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions. We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. Join our Network Operating System team to build and optimize NOS platforms supporting both SONiC and FBOSS for Cornelis Networks' next-generation switch ASIC platforms. This role combines deep platform integration work—including hardware bring-up, BSP development, and ASIC driver integration—with NOS control plane and data plane development. You'll work collaboratively with hardware, firmware, and SAI/SDK teams to deliver high-performance, production-ready network operating systems. You'll work in an AI-first development environment, leveraging cutting-edge tooling to maximize productivity and impact. Key Responsibilities • NOS Platform Integration: Lead platform porting and BSP development for switch ASIC platforms, including hardware bring-up, driver integration, and platform-specific adaptations, • Hardware Integration: Integrate and validate ASIC drivers, optics/transceiver management, thermal/power management, and BMC/baseboard interfaces, • Multi-NOS Support: Design platform abstractions and implementations to support both SONiC and FBOSS architectures, • NOS Development: Design and implement control plane and data plane components for SONiC and FBOSS, ensuring seamless operation with underlying hardware, • Platform Services: Develop and maintain platform services and daemons for hardware monitoring, configuration, and management, • SAI/SDK Integration: Collaborate with SAI/SDK team to integrate switch abstraction layer with SONiC and FBOSS architectures, • Test Infrastructure: Build and maintain test frameworks, automation, and CI/CD pipelines for NOS platform validation; write comprehensive unit and integration tests, • Performance Optimization: Profile and optimize NOS performance for latency, throughput, and resource utilization, • Open Source Collaboration: Engage with the SONiC and FBOSS open-source communities, contribute improvements where applicable, and stay current with upstream developments, • Technical Collaboration: Work closely with hardware, firmware, and systems teams to resolve integration issues and define platform requirements, • AI-First Development: Leverage AI coding assistants and emerging tooling to accelerate development velocity and code quality Minimum Qualifications • BS in Computer Science, Computer Engineering, or related field, • 7-10 years of software engineering experience, • Strong proficiency in C/C++ and Python, • Linux systems programming and networking stack experience, • Switch/networking hardware experience OR network operating system development experience, • Strong debugging and problem-solving skills for complex hardware/software integration issues, • Excellent communication and collaboration skills, • Commitment to AI-first development practices and continuous learning of emerging AI tooling Preferred Qualifications • SONiC platform development experience (strongly preferred), • FBOSS experience (highly desirable), • Linux kernel and driver development experience, • Network protocol implementation experience (L2/L3 switching, routing, BGP, OSPF), • Switch ASIC/SDK integration experience, • Experience with platform services and daemons (SONiC platform daemons, FBOSS agents, or similar), • Hardware/ASIC architecture understanding, • Performance optimization and profiling experience (perf, gprof, valgrind, etc.), • Open-source contribution history (SONiC, FBOSS, or other networking projects), • Technical leadership and mentoring experience, • Experience with AI-assisted development tools (GitHub Copilot, Cursor, or similar), • Familiarity with test automation frameworks and CI/CD systems, • Experience with platform bring-up, BSP development, or embedded Linux systems Location: This is a remote position for employees residing in the United States. At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives. In addition to your base pay, you’ll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Work closely with the Head of AI to shape technical direction and AI strategy. LangChain, LlamaIndex, Semantic Kernel, or similar). This is a senior individual contributor role focused on rapidly prototyping LLM and agent-based workflows, architecting clean and reusable patterns, and partnering clos

Position Overview: As part of our ongoing efforts to improve the performance of our desktop software, we are moving key computational workloads to the GPU to significantly reduce latency. Our Senior Software Engineer, GPU will lead the introduction of GPGPU computing into our software stack, including evaluating and selecting appropriate GPU technologies and frameworks, and integrating them into our existing build and development systems. The role will play a critical part in designing, implementing, and optimizing GPU-accelerated components while establishing the foundations for scalable GPU development across the team. Evaluate and select the appropriate GPU computing technologies and frameworks (e.g., CUDA, Kokkos, or other modern GPU programming models) based on performance, portability, maintainability, and long-term architectural goals. Design and implement the GPU computing layer within our desktop software stack, introducing GPU acceleration for computationally intensive workloads. Integrate GPU development into the existing build and tooling ecosystem, including configuring the build system, dependency management, CI/CD workflows, and developer tooling to support GPU targets. Port and optimize mesh processing algorithms and other performance-critical components from CPU implementations to GPU-accelerated implementations. Analyze performance bottlenecks and apply GPU optimization techniques such as memory layout optimization, kernel design, and efficient data transfer between CPU and GPU. Establish best practices, documentation, and architectural guidelines for GPU development to enable maintainable and scalable use of GPU acceleration across the codebase. Collaborate with other engineers to identify additional opportunities for GPU acceleration and ensure seamless integration with the broader application architecture. • 5-8 years of experience Strong experience developing GPU-accelerated software using frameworks such as CUDA, Kokkos, OpenCL, or similar technologies. Solid understanding of GPU architecture and parallel programming concepts, including memory hierarchies, kernel execution models, synchronization, and performance optimization. Experience evaluating and comparing different GPU programming models and frameworks, and making informed technical decisions about trade-offs such as performance, portability, and developer productivity. Experience integrating GPU tooling and compilers into modern build systems and development environments. Strong C++ programming skills and experience working in performance-sensitive codebases. Ability to translate CPU algorithms into efficient parallel GPU implementations. Strong problem-solving and performance-analysis skills, including profiling and debugging GPU code. About the Company: Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc. With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire® metal AM production printer, Flow™ print preparation software, Assure™ quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation. Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards. Our job titles may span more than one career level. The starting base salary for this full-time position is between $150,000 and $200,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable. Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ We are constantly expanding our compute footprint in the cloud, and need to expand our observability and monitoring capabilities alongside. We currently use the built in AWS monitoring tools, but this doesn’t work with our on-premise stuff and aren’t user friendly. There are a number of options out there we could deploy, but all of them require some attention and work. Even if we go a vendored route, we still need at least one person to own this area. You Will..- Design and lead the architecture and development of Waabi’s monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.- Work with client teams to support their applications’ observability requirements.- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership. Qualifications:- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.- Proven track record of clear communication, writing design docs, and leading cross-functional efforts. Bonus: - Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). Key Responsibilities - Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, tra

Job Description Responsibilities: • Design, build, and deploy end‑to‑end agentic AI solutions, spanning frontend interfaces, backend services, and autonomous agent workflows., • Develop autonomous and semi‑autonomous agents capable of planning, task decomposition, tool selection, execution, and self‑correction., • Implement agent orchestration logic using modern agent frameworks, enabling multi‑step reasoning and coordinated agent behavior., • Design and maintain RAG pipelines, embeddings, vector databases, and memory/state management for contextual grounding., • Build secure and scalable backend APIs and services to support agent execution, tool calling, and workflow automation., • Develop user‑facing interfaces for agent interaction, monitoring, and feedback using modern web frameworks., • Integrate agents with enterprise systems and external tools via APIs, function calling, and workflow orchestration., • Deploy, monitor, and optimize agentic systems on cloud platforms, ensuring reliability, observability, performance, and cost efficiency., • Implement guardrails, evaluation, and monitoring to reduce hallucinations and ensure safe, predictable agent behavior., • Collaborate with cross‑functional and global teams to translate business problems into production‑ready agentic solutions., • Engage directly with stakeholders and clients, communicating agent capabilities, limitations, and solution outcomes clearly., • Continuously improve agent performance through experimentation, telemetry analysis, and iterative refinement Candidate Profile: • Bachelor's or Master's degree in Computer Science, AI, Engineering, Data Science, or equivalent hands‑on industry experience., • Proven experience delivering end‑to‑end agentic AI solutions, covering frontend, backend, and autonomous agent workflows., • Hands‑on expertise with agentic frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar., • Strong experience building autonomous or semi‑autonomous agents with planning, task decomposition, tool use, and self‑reflection., • Advanced prompt engineering skills for agent behavior, planning, constraints, and guardrails., • Practical experience with RAG pipelines, embeddings, vector databases, and agent memory/state management., • Ability to enable agents to take actions via APIs, function/tool calling, and workflow orchestration., • Strong backend development skills (Python/Java) and API‑driven system design., • Frontend experience using modern web frameworks (e.g., React, Angular) for agent interaction and monitoring., • Experience deploying agentic systems on cloud platforms (Azure, AWS, or GCP) with CI/CD, observability, and cost awareness., • Proficiency working with structured and unstructured data, including ingestion and retrieval optimization., • Experience integrating AI solutions into enterprise environments with security and access controls., • Strong client‑facing, communication, and problem‑solving skills., • Comfortable working in fast‑paced, evolving AI environments and global, cross‑functional teams.

Job Description Role: Senior AI Engineer (GenAI & Azure/ .NET Full-Stack Integration) Experience: 10–12 Years Location: United States Role Summary: We are looking for a Senior AI Engineer to build and maintain an automated insurance document processing system. You will bridge the gap between advanced GenAI capabilities and production-grade software, writing the code that extracts data from emails, enriches it via web scraping, and serves it through a modern React interface. Key Responsibilities: • LLM Implementation: Build and optimize prompts and "Agentic" workflows to convert complex insurance documents into precise JSON formats for storage in SQL/Cosmos DB., • Feature Development: Develop and maintain business logic within .NET Core APIs and create intuitive UI components in React for data validation and risk assessment., • Data Enrichment: Build web-scraping pipelines to gather external ratings and risk data, implementing fuzzy matching logic to reconcile customer identities., • Optimization: Implement Azure AI Foundry for model monitoring, focusing on reducing latency and costs in the RAG pipeline., • Maintenance: Debug complex interactions between the LLM orchestration layer and the core business logic, ensuring high reliability for the document submission lifecycle. Qualifications: • 10+ years of professional engineering experience with a heavy focus on GenAI integration., • Proficiency in .NET Core, React, and Python-based AI frameworks (LangGraph, Semantic Kernel, or FastAPI)., • Hands-on experience with Azure AI Search, RESTful API design, and CI/CD (GitHub Actions/Azure DevOps)., • Ability to translate complex business rules into both deterministic code and LLM prompts.

Work with hardware suppliers and engineering tool providers to identify and select solutions for challenging industrial and defense applications. Experience with Linux driver and kernel development.

Has shipped at least one production quality driver for Windows NT Strong knowledge of Win32 APIs and NT kernel internals Debugs memory corruption issues and improves end-to-end system performance Knowledge and experience with Portable Executable format, Reverse Engineering Experience with Windows Mi

Framework Ventures is seeking a Principal Performance & Kernel Engineer to work remotely.

Job DescriptionCompany Description For More Open Positions Visit us at: http://recruiting.woongjininc.com/ Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits • Medical Insurance, • Vision Insurance, • Dental Insurance, • 401(k), • Paid Sick hoursJob Description, • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practicesQualifications Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors What Success Looks Like • Deliver production-ready GenAI features that improve user experience and business outcomes, • Build reliable and scalable AI systems with strong quality, latency, and cost performance, • Establish best practices for evaluation, observability, and responsible AI development, • Help define the company’s long-term Generative AI architecture and roadma Additional Information All your information will be kept confidential according to EEO guidelines. * NO C2C *

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Role & Responsibilities Overview: Architecture & Technical Leadership • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers, • Design and govern agentic orchestration framework for multi-step workflows, • Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation Platform & Integration Design • Define integration architecture across - Lakehouse, ODS, document systems; Underwriting systems and third-party APIs, • Design configurable, metadata-driven framework for multi-LOB onboarding, • Define API/microservices patterns (Python/.NET hybrid) AI & GenAI Enablement • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows, • Establish multimodal integration approach combining structured, unstructured, and external data, • Design prompt lifecycle, evaluation, and optimization strategy Governance, Safety & ModelOps • Define AI safety and guardrails (PII, hallucination control, policy constraints), • Establish ModelOps and PromptOps frameworks, • Ensure explainability, auditability, and traceability of AI outputs Program Leadership • Lead technical execution across AI, data, and platform teams, • Guide engineers (AI, data, full-stack) and ensure alignment with architecture, • Drive technical decisions and stakeholder communication Candidate Profile: • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture, • Background: Strong experience in designing enterprise-scale platforms and distributed systems, • Domain (good to have): Insurance / reinsurance / financial services, • Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field, • Profile Type: Hands-on architect with ability to balance strategy + execution Technical skills: • GenAI & Agentic Frameworks - Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design, • Retrieval & RAG - Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management, • Tool Access & Integration - MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs, • AI Safety & Governance - NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control, • Evaluation & ModelOps - Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring, • DevOps & Observability - CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability

Job Description Role: AI Architect (Azure/.NET/React - GenAI & Agentic Systems) Experience: 12–15 Years Location: United States Role Summary: We are seeking a hands-on AI Architect to lead the design and evolution of our enterprise Document Submission and Intelligence platform. You will be responsible for defining how GenAI, Agentic frameworks, and RAG architectures transform raw insurance documentation (emails, PDFs, renewals) into structured, actionable business data. Key Responsibilities: • System Architecture: Define the end-to-end blueprint for a multi-layered AI platform, integrating LLM orchestration (LangGraph/Semantic Kernel) with a .NET Core and React ecosystem., • Data Intelligence: Design robust RAG (Retrieval-Augmented Generation) strategies using Azure AI Search and vector databases to enable deep-context searching across customer risk profiles., • Tooling & Connectivity: Architect the Model Context Protocol (MCP) layer to enable AI agents to perform web scraping for risk rating enrichment and fuzzy matching against enterprise databases., • Safety & Governance: Establish rigorous guardrails (NVIDIA NeMo, Microsoft Presidio) for PII masking and hallucination control., • Evaluation Framework: Define "LLM-as-a-judge" metrics to ensure high accuracy in extracting JSON schemas from unstructured insurance documents. Qualifications: • 12+ years in software/data engineering with 5+ years specializing in AI/ML architecture., • Proven experience designing high-throughput document processing pipelines (Unstructured LLM SQL/Cosmos)., • Deep expertise in Azure OpenAI, vector search optimization, and agentic workflows., • Strong background in financial services or insurance domains is highly preferred.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $90–$130/hour Location: Remote Role Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics., • Design challenging, domain-relevant tasks across multiple specializations. Write accurate and well-structured solutions to MLOps and ML systems problems., • Evaluate MLOps tasks and solutions. Provide clear, written technical feedback., • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 5+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization., • Hands-on production experience with JAX and/or PyTorch at scale, including distributed training strategies (FSDP, tensor parallelism, pipeline parallelism), memory optimization, and framework-level debugging., • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton, including tiling strategies, memory layout design, and kernel fusion., • Demonstrable career progression., • Ability to engage reliably for at least 30 hours/week during weekdays., • Strong written communication skills and the ability to explain complex technical decisions clearly. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Equal Employment Opportunity employer. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Low-Latency Developer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort. Position Highlights: We are modernizing our trading and research platform to scale our alpha trading business. This platform will enable researchers to explore, test, and deploy sophisticated signals, models, and strategies across asset classes in a robust, fully automated manner while maintaining competitive latency targets. As a Low-Latency Developer, you will be responsible for designing, optimizing, and maintaining high-performance trading systems to minimize latency. Your Mission and Goals: • Analyze and optimize the performance of low-latency trading systems by identifying bottlenecks and inefficiencies in the code, and implementing effective solutions., • Develop and adapt the platform to support the demands of a fast-paced trading environment, while effectively managing technical debt. Requirements • Over 5 years of experience as a low-latency developer with a focus on performance optimization in a high-frequency trading (HFT) environment., • Experience with multiple components of an HFT platform or system, particularly those on the critical path., • Experience working at an HFT firm during its startup phase and/or on a trading team is a significant plus. Technical Skills: • Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading, inter-process communication, and strategy APIs., • Proven low-latency development and performance optimization in HFT., • Strong proficiency in C++., • Excellent understanding of CPU caches and cache efficiency., • Experience with multithreaded and multi-process synchronization., • Good understanding of networking protocols., • Skilled in performance profiling and optimization tools., • Advanced knowledge of Linux operating systems, including kernel-level device mechanisms. About You: • Practical decision-making skills., • Excellent communication skills., • Strong analytical and problem-solving skills., • Passion for trading., • Ability to work independently and as part of a team. Benefits • Competitive compensation package, • Performance-based bonus opportunities, • 401k plan, • Mental health support, including access to therapy, • Paid time off (25 days), • Relocation support (where applicable), • International team meet-ups, • Learning and development support, including courses and certifications, • Access to professional tools, software, and resources, • Fully equipped workstations with high-quality hardware, • Modern office with paid lunches Annual base salary range of $150,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Education: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Technical Skills: • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments, • Contributions to open-source firmware projects or upstream Linux development The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSenior AI Engineer – Google AI & Generative Intelligence Job Title: Senior AI Engineer – Google AI & Generative Intelligence Location: Paramus, New Jersey (Hybrid) Duration: 6 Months Employment Type: Contract-to-Hire Position Overview We are seeking a highly experienced Senior AI Engineer with strong expertise in Google AI technologies, Generative AI, and cloud-native AI application development. The ideal candidate will bring 10–15 years of software engineering experience, including 5+ years focused on Artificial Generative Intelligence, building scalable AI systems, LLM/SLM applications, RAG architectures, and multi-agent solutions in production environments. This role requires deep hands-on experience with the Google AI ecosystem including Gemini, Vertex AI, Google Agent Development Kit (ADK), Google AI Studio, and Google Workspace integrations. Key ResponsibilitiesLarge & Small Language Model Engineering • Design, develop, and deploy AI agents leveraging commercial LLMs including:, • Gemini (Google), • GPT (OpenAI), • Claude Sonnet (Anthropic), • Work with open-source and self-hosted LLMs such as:, • Mixtral (Mistral AI), • Build lightweight SLM-based solutions using:, • Phi-3, • Gemma, • Mistral, • Fine-tune and customize models using:, • Vertex AI Tuning, • Hugging Face Transformers, • PEFT methods including LoRA and QLoRA, • Utilize frameworks such as:, • PyTorch, • TensorFlow, • JAX, • Perform synthetic data generation and model evaluations using:, • HELM, • lm-evaluation-harness, • Custom benchmarking frameworksGoogle AI & Workspace Integration, • Design AI-powered workflows integrated with:, • Google Workspace, • Google Docs, • Sheets, • Drive, • Gmail, • Meet, • BigQuery, • Lakehouse platforms, • Develop intelligent AI agents using Google Agent Development Kit (ADK), • Utilize:, • Google AI Studio, • VS Code, • Work extensively with Google Cloud Platform (GCP) services:, • Vertex AI, • GKE (Google Kubernetes Engine), • Cloud Run, • Cloud Functions, • Vertex AI Vector DatabasesAI Solution Design & Planning, • Lead requirements gathering and technical documentation using Confluence, • Create AI workflows and system architecture diagrams using Lucidchart, • Design UI/UX prototypes using Figma, • Manage Agile sprint planning and delivery using Jira, • Prepare, clean, and organize enterprise datasets for AI/ML workflows, • Conduct data analysis using Jupyter Notebooks and pandas, • Utilize Hugging Face Model Hub for model research and selectionDevelopment Frameworks & AI Tooling, • Build orchestration pipelines using:, • LangChain, • LlamaIndex, • LangGraph, • Develop multi-agent AI systems using:, • Semantic Kernel, • LangGraph, • Manage prompt engineering and observability using:, • LangSmith, • PromptLayer, • Deploy models locally using Ollama and at scale using vLLM, • Track experiments using:, • MLflow, • Weights & Biases, • Manage source control with GitVector Databases & RAG Architecture, • Build Retrieval-Augmented Generation (RAG) systems using:, • Vertex AI Vector DB, • ChromaDB, • Design enterprise semantic search and knowledge retrieval architecturesBackend Development, • Develop scalable RESTful APIs using:, • FastAPI (Python), • Express.js (Node.js), • Manage APIs using:, • MuleSoft, • ApigeeFrontend Development, • Develop modern AI-driven user interfaces using:, • React, • Angular, • Material-UI, • Collaborate on UI/UX workflows and prototyping using FigmaTesting, Quality & Observability, • Perform LLM and RAG evaluations using:, • RAGAS, • DeepEval, • LangSmith Evaluators, • Create unit tests using pytest, • Monitor model performance and hallucination detection, • Track AI infrastructure costs using:, • OpenMeter, • Custom dashboardsDeployment & Infrastructure, • Deploy AI systems using:, • Kubernetes, • Google GKE, • Build CI/CD pipelines using:, • GitHub Actions, • GitLab CI, • Support:, • Cloud deployments, • Hybrid deployments, • Edge AI inference environmentsRequired Qualifications, • 10–15 years of overall software engineering experience, • 5+ years of hands-on Generative AI experience, • Strong expertise with:, • Gemini, • Vertex AI, • Google ADK, • Google AI Studio, • Google Workspace integrations, • Strong Python development experience, • Familiarity with Node.js, • Experience with:, • RAG systems, • Multi-agent AI architectures, • LLM/SLM fine-tuning, • LoRA / QLoRA / PEFT, • AI evaluation frameworks, • Strong cloud-native development experience on GCP, • Experience with MLOps and AI CI/CD pipelinesPreferred Qualifications, • Google Cloud certifications such as:, • Professional ML Engineer, • Professional Cloud Architect, • Experience contributing to open-source AI/ML projects, • Experience with edge AI and hybrid cloud deployments, • Experience building synthetic data generation pipelines, • Prior mentoring or leadership experience within AI/ML teams For more details reach at resumes@navitassols.com

Job Description Position Title: Sr AI Engineer Location: Paramus, NJ Duration: 06 Month Contract Status: Hybrid Employment Type: Contract role on W-2 through Above and Beyond Talent Acquisition, Inc. (A&B Talent) Pay Range: USD $135 an hour W2 Client Info / Who they are: Above and Beyond Talent Acquisition proudly represents our Client, a global leader in water, waste, and energy management. The client offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting, and resource recovery. The client helps commercial, industrial, healthcare, higher education, and municipality customers throughout North America. The client has approximately 10,000 employees working at over 350 locations across the continent. Requirements / Who we are looking for: • 10–15 years of overall software engineering experience., • 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems., • Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations., • Proficiency in Python (primary) and familiarity with Node.js., • Strong background in cloud-native development on GCP., • Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks., • Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices., • Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph., • Preferred Qualifications, • Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect), • Contributions to open-source AI/ML projects., • Experience with edge AI deployments and hybrid cloud-edge inference., • Familiarity with synthetic data generation pipelines., • Prior experience mentoring junior engineers or interns in AI/ML domains. Performance Objectives / What you'll be doing: 1. Large & Small Language Model Engineering • Design, develop, and deploy Agents leveraging commercial LLMs such as Gemini (Google), GPT (OpenAI), and Claude Sonnet (Anthropic) for high-performance, large-context, and multimodal tasks., • Work with open-source/self-hosted LLMs including Mixtral (Mistral AI)., • Architect and implement SLM-based solutions using lightweight models such as Phi-3 (Microsoft), Gemma (Google), and Mistral for resource-constrained environments., • Lead fine-tuning and customization of models using Vertex AI Tuning, Hugging Face Transformers, and parameter-efficient fine-tuning (PEFT) methods including LoRA and QLoRA., • Apply training frameworks such as PyTorch, TensorFlow, or JAX for model experimentation and development., • Generate synthetic data and evaluate models using HELM, lm-evaluation-harness, and custom benchmarks. 1. Google AI & Workspace Integration • Lead the design and implementation of AI-powered solutions deeply integrated with Google Workspace (Docs, Sheets, Drive, Gmail, Meet), Big Query and Lakehouse., • Architect and build intelligent agents and workflows using Google Agent Development Kit (ADK)., • Leverage Google AI Studio as the primary IDE, VSCode for AI application development and prototyping., • Utilize Google Cloud Platform (GCP) services including:, • Vertex AI for ML model training, tuning, and deployment, • GKE (Google Kubernetes Engine) for container orchestration, • Cloud Run for serverless deployment, • Cloud Functions for event-driven AI tasks, • Vertex AI Vector DBs for semantic search and retrieval 1. Design & Planning • Lead requirements gathering using Confluence for documentation and team collaboration., • Create detailed system architecture diagrams and AI workflows using Lucidchart., • Design UI/UX prototypes in Figma for AI-powered application interfaces., • Manage project delivery and sprint planning using Jira., • Oversee data preparation and management: cleaning, transforming, and organizing data for AI/ML workflows., • Conduct data analysis using Jupyter Notebooks and pandas for exploration and preprocessing., • Leverage Hugging Face Model Hub for model comparison, selection, and download. 1. Development Frameworks & Tools • Orchestrate LLM/SLM applications using LangChain, LlamaIndex, and LangGraph., • Build multi-agent systems with Semantic Kernel, and LangGraph., • Manage and optimize prompts using LangSmith and PromptLayer., • Deploy models locally with Ollama or at scale with vLLM for efficient inference., • Track experiments, metrics, and results with MLflow or Weights & Biases., • Manage code and data versioning with Git. 1. Vector Databases & Semantic Search • Implement semantic search and Retrieval-Augmented Generation (RAG) pipelines using Vertex AI Vector DBs and ChromaDB., • Design and optimize end-to-end RAG architectures for enterprise-grade knowledge retrieval. 1. Backend Development • Develop robust RESTful APIs using FastAPI (Python) or Express.js (Node.js)., • Manage and secure APIs using Mulesoft, Apigee. 1. Frontend Development • Build modern user interfaces using React or Angular., • Utilize Material-UI for consistent, accessible, and modern UI components., • Prototype and plan UI/UX workflows using Figma. 1. Development Tools & Code Quality • Write and debug code in VS Code with Python and GitHub Copilot extensions., • Leverage GitHub Copilot for AI-assisted code suggestions and productivity., • Manage source code with GitHub or GitLab., • Enforce code quality and standards using SonarQube, ESLint, and Pylint. 1. Testing & Quality Assurance • Conduct LLM-specific testing using RAGAS and DeepEval for LLM/RAG pipeline evaluation., • Use LangSmith Evaluators for prompt testing and hallucination detection., • Write and execute unit tests using pytest., • Ensure output quality and reliability using LangChain Evaluators and custom metrics. 1. Deployment & Infrastructure • Orchestrate containers at scale with Kubernetes (K8s), and Google GKE., • Automate CI/CD pipelines using GitHub Actions or GitLab CI., • Support on-premise, cloud (GCP/Vertex AI), and hybrid infrastructure deployments including edge devices for local inference. 1. LLM Monitoring & Observability • Monitor LLM performance and usage with LangSmith and Weights & Biases., • Track and optimize AI infrastructure costs using OpenMeter and custom dashboards., • Set up continuous evaluation pipelines to ensure ongoing model quality and reliability., • Monitor application and model performance end-to-end with LangSmith observability tools. Perks of working with US / What We offer: • Competitive Salary., • Health, dental, and vision insurance., • Company 401K plan The salary, other compensation, and benefits information are accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law. “Above and Beyond Talent is an equal opportunity employer and staffing firm.”

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring an experienced Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. Key Responsibilities • Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways., • Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency., • Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency., • Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity., • Monitoring & Incident Response: Establish comprehensive observability frameworks, including real-time monitoring of oracle latency, data source health, and quorum integrity. Implement automated circuit breakers to halt operations under degraded conditions and integrate with a 24/7 incident response and alerting system with clearly defined service level agreements. Requirements • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments., • Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates., • Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design., • HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards., • Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent., • Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions., • Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation. Preferred / Desirable Experience • Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting., • Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents., • Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration., • Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role: CoreWeave is seeking a passionate and innovative Software Engineer of Network Services to lead the architecture, scaling, and operations of our network services. You'll be tackling the complex challenges of building and operating world-class network services for the most demanding AI workloads on the planet. You will be focusing on achieving the highest levels of service quality, scalability and performance. You will also build comprehensive monitoring and alerting into our network services. You will work closely with your team to execute our network service roadmap, drive innovation, and ensure the reliability, security, and scalability of the CoreWeave Cloud Platform. Key Responsibilities • Develop, and maintain the network services infrastructure for our GPU cloud services, including networking cloud services, host networking, smart NICs, and overlay/underlay networks., • Collaborate with cross-functional teams, including DevOps, System Administrators, and Cloud Services teams, to ensure seamless integration of network datapath solutions., • Optimize host network performance, latency, and throughput to meet the demanding requirements of GPU-based workloads., • Implement and maintain network security protocols and best practices to protect customer data and infrastructure., • Participate in an on-call rotation, troubleshoot and resolve network-related issues, and provide timely support to the operations team., • Stay up-to-date with the latest networking technologies, industry trends, and best practices to continually improve our networking infrastructure., • Participate in code reviews, design discussions, and architecture decisions to ensure high-quality software development practices.Qualifications, • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field., • Experience (2+ years) as a Software Engineer, with a focus on networking and cloud infrastructure., • Expertise in network protocols, routing, and security (TCP/IP, BGP, kernel networking, etc.)., • Proficiency in programming languages such as Golang, Python, or C++., • Familiarity with software-defined networking (SDN) and network virtualization technologies., • Experience building and deploying k8s networking and infrastructure, CNIs., • Experience with k8s operators and controllers is a plus., • Excellent problem-solving skills and a proactive attitude towards troubleshooting and issue resolution., • Strong communication skills and the ability to collaborate effectively with cross-functional teams., • A passion for staying updated on emerging technologies and a commitment to continuous learning. The base pay for this position range from $110,000 to $176,000 accordingly. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Life at Plume At Plume, we believe that technology isn't about moving faster, it's about making life's moments better. Which is why we've built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale. We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We're expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can't do it exceptionally well, we don't do it. It's how we've assembled a team of world-class builders, thinkers, and doers. And it's how we're reinventing what's possible every day. About the Role Plume's Core Engineering team is looking for a Senior Wireless Firmware Engineer with deep expertise in WiFi driver development to lead innovation for large-scale WiFi and broadband solutions. You will work across embedded firmware, wireless drivers, and system-level software to enable high-performance, scalable, and reliable WiFi experiences. This is a high-impact senior role where you will lead complex initiatives in wireless networking, performance optimization, and large-scale deployments, while mentoring other engineers and influencing system architecture. What You'll Do • Lead design and development of WiFi firmware and driver architecture for next-generation wireless platforms, • Own critical components of the WiFi stack and drive technical direction across projects, • Mentor junior engineers and provide technical guidance across firmware and driver domains, • Design, develop, and optimize WiFi firmware and low-level wireless drivers, • Work on IEEE 802.11 stack (WiFi 4/5/6/6E/7), including MAC/PHY layers, • Debug and optimize WiFi drivers with chipset/SoC vendors, • Analyze network behavior and improve performance (throughput, latency, reliability), • Participate in full software lifecycle: design, development, testing, deployment, and support, • Troubleshoot complex system-level issues across firmware, drivers, and networking stacks Required Qualifications • BS/MS/PhD in Computer Science, Electrical Engineering, or related field, • 8+ years of experience in embedded systems, firmware, or driver development, • Proven experience leading complex technical projects end-to-end, • Strong expertise in C/C++, • Deep experience with WiFi driver development at chipset/SoC level, • Strong understanding of Linux kernel and networking stack, • Deep knowledge of IEEE 802.11 MAC and PHY layers, • Experience with OpenWRT, RDK, or OpenSync, • Strong debugging and performance optimization skills Preferred Qualifications • Experience with Broadcom, Qualcomm, or MediaTek WiFi chipsets, • Experience with mesh networking and large-scale deployments, • Knowledge of MU-MIMO, OFDMA, beamforming, WiFi 7, • Python or scripting for automation, • Familiarity with cloud-managed networking systems What You Bring • Strong ownership and leadership mindset, • Ability to solve complex, ambiguous problems, • Experience mentoring engineers, • Excellent communication and collaboration skills, • Passion for building high-performance wireless systems This role is fully remote but requires someone to reside in EST. Unfortunately, we are not offering sponsorship at this time. The total compensation package would include an anticipated compensation range of $140,000.00 - $150,000.00, plus bonus, equity, and benefits. Benefits include: a 401 (k) plan and a company match, basic life insurance, plus unparalleled health, dental, vision, and other benefits and perks. An employee's base salary and its position within the range may depend on several factors, including job-related knowledge, education, skills, experience, and other business-related considerations. Published ranges are provided in good faith at the time of posting. #LI-Remote, #RemoteJobs, #WorkFromHome, #RemoteWork, #WFH About Plume As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world's largest such as Comcast, Charter, Liberty Global, and J:COM. Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume's software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture. Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Role: SysEng HAVOCK (Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kernel) CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. You will start by stabilizing and scaling our Linux OS and Kernel build pipelines. Once the foundation is set, you will lead the transition to AI-native infrastructure, building "smart" workflows that don't just report errors, but understand and fix them. You are a Systems Engineer at heart, but you are ready to apply LLMs, RAG, and predictive modeling to solve infrastructure challenges at scale. Our Team's Stack: • Languages: Python, Go, bash/sh, • Observability: Prometheus, Victoria Metrics, Grafana, • OS & Kernel: Linux Kernel (custom build), Ubuntu, • Hardware: Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Containerization: Docker, Kubernetes (k8s), KubeVirt, containerd, kubelet Responsibilities: • Pipeline Architecture: Design, maintain, and automate reproducible OS image build pipelines for our massive fleet of GPU-accelerated servers., • Kernel Distribution: Collaborate with kernel engineers to package, validate, and distribute custom Linux builds across Intel, AMD, and ARM architectures., • Dependency Management: Build tooling to manage dependencies, versioning, and release workflows, ensuring hermetic builds., • Telemetry & Metrics: Standardize the collection of build metrics to create a baseline for future AI modeling., • "Smart" CI/CD & Auto-Remediation: Architect AI agents that ingest and analyze build logs in real-time. Develop systems that auto-triage errors, categorize failure patterns, and generate context-aware fix suggestions for engineering teams., • Predictive Regression Modeling: Design ML workflows that utilize historical performance data to detect kernel and OS regressions (latency, throughput, stability) in staging environments before they impact production., • Dynamic Kernel Tuning: Implement closed-loop feedback systems that analyze real-time system metrics and automatically suggest or apply sysctl parameter optimizations for specific customer workloads., • Next-Gen ChatOps: Engineer LLM-driven interfaces for Slack/internal tools, enabling stakeholders to query build statuses, request log summaries, or provision resources using natural language commands. Requirements: • 4+ years of professional experience in Linux Systems Engineering, Release Engineering, or DevOps., • Deep knowledge of Linux internals (boot process, kernel modules, networking stack)., • Experience with package management (Debian/Ubuntu) and build systems., • Strong proficiency in Python (essential for the AI integration aspects of this role)., • Demonstrable experience integrating API-based AI models (OpenAI, Anthropic, or local open-source models) into software workflows., • Understanding of RAG (Retrieval-Augmented Generation) architectures for querying technical documentation or logs., • Experience building event-driven automation (e.g., using webhooks to trigger analysis agents)., • Familiarity with data structures required for vector search or time-series analysis. Nice-to-haves: • Experience with Kubeflow or MLFlow., • Background in High-Performance Computing (HPC)., • Experience fine-tuning small language models (SLMs) for code or log analysis tasks. The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring a motivated Oracle Engineer to join our team, a leading DeFi desk in the sector. In this role you will have end-to-end ownership of the oracle stack, including institutional market data ingestion from co-located data centres, low-latency aggregation, hardware-secured signing, and on-chain submission. This function operates within a zero-tolerance environment, where the integrity and accuracy of price submissions are critical. Key Responsibilities • Low-Latency Data Ingestion: Design and operate a multi-source feed handler architecture to ingest tick-level data from institutional market data providers, exchange direct feeds, and reference rate APIs. Ensure isolation of data sources with independent failure domains, and implement staleness detection, quorum-based validation, and automated failover across redundant data pathways., • Price Aggregation Engine: Develop a high-performance aggregation engine in Rust to generate a single reliable price from multiple, potentially divergent data sources. Implement manipulation-resistant statistical methods, outlier filtering, asset-specific confidence thresholds, and automated halting mechanisms when data quality falls below defined standards. Ensure consistent sub-second submission cadence with deterministic latency., • Cryptographic Signing & Submission: Implement a secure signing pipeline leveraging hardware security modules (HSMs) to ensure private keys remain within tamper-resistant environments. Integrate pre-submission validation checks against on-chain reference data and design an optimized submission path with minimal network latency., • Failover & High Availability: Architect and maintain a resilient multi-site infrastructure with active/standby configurations and automated failover capabilities. Ensure failover occurs within sub-second timeframes without data loss, and implement serverless fallback mechanisms for extreme failure scenarios. Maintain high availability through load-balanced endpoints with session affinity., • Monitoring & Incident Response: Establish comprehensive observability frameworks, including real-time monitoring of oracle latency, data source health, and quorum integrity. Implement automated circuit breakers to halt operations under degraded conditions and integrate with a 24/7 incident response and alerting system with clearly defined service level agreements. Requirements • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Rust Development: Proven experience building and operating production systems in Rust with sub-100ms latency requirements. Demonstrated ability to deliver and maintain high-performance Rust applications in live environments., • Market Data Infrastructure: Hands-on experience integrating institutional-grade, tick-level market data feeds. Familiarity with FIX protocol, exchange connectivity, and normalization of market data across multiple asset classes, including equities, FX, commodities, and rates., • Low-Latency Systems Engineering: Experience designing and operating low-latency systems within co-located data centre environments. Strong understanding of kernel bypass networking, lock-free data structures, and cache-efficient memory design., • HSM Integration: Practical experience integrating hardware security modules (HSMs) for cryptographic signing in production environments, including key lifecycle management, rotation policies, and adherence to security standards., • Message Streaming Systems: Expertise in high-throughput message streaming architectures, including consumer group management, cross-site replication, and backpressure handling. Experience with technologies such as Redis Streams, NATS JetStream, or equivalent., • Operational Reliability: Experience supporting mission-critical systems with strict uptime requirements. Demonstrated ability to implement circuit breakers, develop operational runbooks, and design systems for graceful degradation under failure conditions., • Statistical Methods: Strong practical knowledge of robust statistical aggregation techniques, including weighted median, outlier detection, and exponential smoothing, with an understanding of their resistance to manipulation. Preferred / Desirable Experience • Blockchain Oracle Systems: Experience building or operating oracle systems (e.g., Chainlink, Pyth, or custom implementations), including an understanding of slashing mechanisms and incentive design for price reporting., • Real-Time API Infrastructure: Experience developing high-throughput WebSocket and gRPC services for latency-sensitive applications such as trading systems or AI agents., • Cloud Infrastructure (AWS): Experience designing and operating high-availability cloud infrastructure, including HSM services, serverless architectures, object storage, and service discovery with health-check orchestration., • Traditional Finance Market Microstructure: Understanding of global market microstructure, including trading hours, session boundaries, after-hours pricing, and weekend gap dynamics across asset classes. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $90–$130/hour Location: Remote Role Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics., • Design challenging, domain-relevant tasks across multiple specializations. Write accurate and well-structured solutions to MLOps and ML systems problems., • Evaluate MLOps tasks and solutions. Provide clear, written technical feedback., • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks., • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications Must-Have • 5+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization., • Hands-on production experience with JAX and/or PyTorch at scale, including distributed training strategies (FSDP, tensor parallelism, pipeline parallelism), memory optimization, and framework-level debugging., • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton, including tiling strategies, memory layout design, and kernel fusion., • Demonstrable career progression., • Ability to engage reliably for at least 30 hours/week during weekdays., • Strong written communication skills and the ability to explain complex technical decisions clearly. Compensation & Legal • W-2 employment with Cincinnatus LLC., • Equal Employment Opportunity employer. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the Company: Our client is a company building the world's highest- performance pure digital AI inference chip. We are looking for an experienced software engineer with excellent C/C++ programming skills and at least 5 years of related work experience. The ideal candidate should have a strong background in software design, debugging, and performance analysis, and a deep understanding of system level architecture. Key Requirements: • Degree in Computer Science, Computer Engineering, or related discipline, • Excellent C/C++ programming skills, • Strong experience in software design, debugging, and performance analysis, • Deep understanding of system level architecture, • Experience with Linux driver or Linux Kernel development, • Ability to work independently and lead development efforts, • Experience contributing to large open/closed source projects Preferred Skills & Experience: • Minimum 5 years of software engineering or related work experience, • Masters or PhD in Computer Science, Computer Engineering or a related discipline, • Experience with Python and using C/C++ libraries from Python (e.g. using Cython), • Focus on software quality and testing, • Experience architecting low and high level APIs, • Proficient in a variety of development styles and programming languages, • Ability to build projects from the ground up, • Comfortable working within a rapidly evolving project, • Driven and self-directed Perks: • 20 vacation days, • Strong health and extended health benefits, • Unlimited sick days, • Stock options Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet Focus Areas: • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Strong problem-solving abilities with a "full-stack" systems perspective. Preferred: • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description Position Summary: WAC Group is seeking a Senior Embedded Platform Engineer to own the on-premises appliance platform for the commercial smart lighting product line. This is a hands-on engineering role: you will design, build, and ship the appliance stack, zero-touch provisioning infrastructure, and OTA update systems that run-in customer facilities ranging from open to air gapped solutions. The ideal candidate combines deep Linux and edge systems expertise with working knowledge of AWS cloud services used to provision, manage, and connect deployed appliances at scale. Key Responsibilities: • Design, build and maintain an embedded Linux platform including boot loaders, kernel, drivers and user space., • Board Bring-up: Collaborating with hardware engineers to bring up new hardware, debugging boot issues, configuring the device tree and testing performance., • System Building & Imaging: Creating and managing production-ready Linux images using build systems such as Yocto, Buildroot or custom spins of standard distributions such as Debian., • Platform Security: Implementing system hardening, secure boot, and managing vulnerability patches., • OTA Updates: Developing robust, secure over-the-air update mechanisms. Experience creating robust platforms that are hardened against power loss and failed OTA updates., • Performance Optimization: Tuning system boot time, memory usage, and power consumption., • Design and maintain the appliance stack - Docker Compose deployment, systemd services, containerized MQTT broker, local Postgres, OIDC auth sidecar, and WireGuard/Relay integration for zero-friction site deployment., • Build and maintain VM appliance images (OVA, QCOW2, VHDX) for Tier 1 site distribution., • Architect and implement zero-touch provisioning - device identity (serial + certificate), provisioning service integration, and automatic vpn setup. Controllers must boot-to-claimed with zero manual configuration., • Design and own the OTA update pipeline - signed manifest validation, atomic container updates, health-check-gated rollback strategies, and offline update paths via signed USB bundle for air-gapped deployments., • Partner with firmware, mobile, and cloud teams to define the appliance API surface, deployment contracts, and integration patterns between the on-premises console and Cloud Portal., • Evaluate and standardize the AWS cloud services used in the provisioning, relay, and management plane - including Fargate, Aurora, Cognito, and ECR - to meet performance, reliability, and cost targets., • Implement best practices for CI/CD, infrastructure-as-code, and release management to ensure reliable and repeatable appliance and cloud deployments., • Design and maintain monitoring and alerting for site health - heartbeat telemetry, update status reporting, and local diagnostics accessible to non-technical installers and customer IT staff., • Triage and resolve production issues related to device provisioning, updates, local connectivity, VPN tunnels, and on-premises infrastructure - prioritizing based on customer impact and SLA commitments. Critical Success Factors: • Customer-Centered Execution Communicates complex technical concepts clearly, builds trust with customers and partners, and delivers solutions that meet real-world performance. • Technical Excellence & Rigor - Sets and enforces high standards for scalability, observability, security, and operational discipline. “Good enough” is not sufficient., • Systems Thinking & Intellectual Curiosity - Understands the full IoT ecosystem and anticipates downstream impacts. Continuously evaluates emerging technologies and architectural trade-offs., • End-to-End Ownership - Takes full accountability for the appliance platform’s architecture, reliability, security, and performance - proactively identifying risks and driving resolution across both on-premises and cloud tiers., • Cross-Functional Leadership - Aligns firmware, application, cloud, and product teams around cohesive architectural decisions that serve both technical and business objectives. Requirements: • Bachelor’s degree in computer science, Electrical Engineering, or equivalent practical experience. 7+ years of software engineering experience, including 4+ years building and operating edge/appliance systems or production Linux infrastructure., • Expert-level Linux systems administration - Debian/Ubuntu, systems, apt/dpkg packaging, firewall configuration (UFW/iptables), and automated OS provisioning (preseed, cloud-init)., • Languages: Strong Proficiency in C, C++, and scripting languages (Python, Bash)., • Linux Internals: Deep understanding of the kernel, device tree, file systems and user-space libraries., • Build Systems: Expertise in Yocto/OpenEmbedded, Buildroot and rpi-image-gen., • Debugging: Experience with JTAG, GDB, and oscilloscopes for hardware/software debugging., • Proven experience with Docker and Docker Compose - service dependency management, container image optimization, health checks, and fleet-wide update strategies., • Hands-on experience with networking fundamentals - WireGuard, mDNS, NTP, DHCP, MQTT (EMQX or Mosquitto), and NAT traversal., • Working knowledge of AWS services relevant to IoT and edge deployments - Cognito, Fargate (ECS), Aurora/RDS, S3, Route 53, ECR, and IoT Core (or equivalent device provisioning infrastructure)., • Experience with VM image creation (Packer, cloud-init) and multi-format appliance distribution (OVA, QCOW2, VHDX)., • Familiarity with PKI and device certificate infrastructure - TLS client certificates, certificate authorities (step-ca or AWS Private CA), and key rotation strategies., • Experience with infrastructure-as-code (Terraform or CloudFormation), CI/CD pipeline design, and automated deployment strategies., • Hands-on experience with observability tooling (CloudWatch, Prometheus, Grafana, or equivalent)., • Strong understanding of security best practices - identity and access management, encryption at rest and in transit, and vulnerability mitigation for edge-deployed systems., • Mandarin language proficiency is a plus., • Willingness to travel domestically and internationally as required. We recognize people as our most valuable asset. Our competitive salary and benefits package include paid time off; medical & dental coverage (including family coverage), vision, life, 401(k); tuition assistance; and continuous training and development. For immediate consideration, please submit your resume as directed. Due to the high volume of applications, only candidates who meet the qualifications will be contacted. WAC is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, gender, gender identity, sexual orientation, national origin, age, disability, genetics, or any other protected characteristic. In addition to federal law requirements, WAC complies with applicable state and local laws governing non-discrimination in employment in all its locations. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, placement, promotion, termination, recall, transfer, leaves of absence, compensation, and training. Please note, all responsibilities outlined in the above job description are subject to change as needed. All efforts will be made to ensure proper notice is given for changes in responsibilities.

Job Description OPEN TO NY, LA, MIAMI, & AUSTIN THE ROLE We Are Social is looking for a culture-hungry copywriter who wants to make work that people will love. To do the job well, you’ll need a good sense of social media craft and a desire to get your hands dirty. We are seeking someone who lives in the space between pop culture/sports/entertainment/fashion/music/travel. WE ARE A creative agency powered by social connections. That means we thrive on what’s trending and creating campaigns that get people buzzing. We call it “Ideas Worth Talking About,” and we're proud to have played a part in some of the most culturally relevant campaigns of the decade for brands like McDonald’s, Adidas, Universal Studios, and YouTube. WHY YOU’LL LOVE IT HERE • Our passport program lets you explore and work from one of our 18 other offices worldwide, including Paris, Singapore, Madrid, Dubai, London and more!, • You best believe we know how to celebrate our wins. And our losses (it’s how we learn)., • From carbon offsets to community kitchens, we’re passionate about making a difference. YOU ARE • A person who thrives in a fast-paced environment, responding quickly and proactively, • Not interested in just following trends – you want to create them, • A self-starter, who’ll take ideas from concept to execution, navigating feedback like a pro What matters is your deep understanding of what resonates with social audiences. This role is energetic, innovative and forward-thinking. Alongside engaging with communities, you’ll guide brands by staying ahead of social trends and cultural moments. In return, you’ll join a global agency dedicated to generating buzzworthy ideas for some of the world’s leading brands. WHAT YOU’LL DO • CREATIVE: Concept, write and create strong, compelling copy that resonates with target audiences. Understand the structure of a brand’s identity—how the visual and verbal executions come together to create a holistic brand experience. Be a creative spokesperson for projects to ensure that the creative integrity of the work stays intact. Contribute to new business activities, help outline and write pitch decks., • STORYTELLING: Be responsible for sound, strategic thinking for integrated campaign work, • COMMUNICATION: Clearly articulate ideas to colleagues, both verbally and in writing., • Present effectively to clients and agency teams, • Contribute to new business activities, help outline and write pitch decks, • SOCIAL LITERACY Identifying trends and opportunities as they emerge in social that stay true to our brands. Have a genuine interest in, and awareness of, the creative industry, including groundbreaking ideas, emerging technologies, • COLLABORATION: Work collaboratively with a large team of creatives from ideation to execution – helping to ensure ideas are created and brought to life faithfully while taking direction & feedback from leads., • WORKFLOW MANAGEMENT: Manage multiple priorities and assignments. Execute with quick turnaround times for real time moments, capture trending moments, to deliver high quality work, on-time and with accuracy. REQUIREMENTS FOR THIS ROLE • 3+ years of agency experience & a portfolio of live & spec work, • A robust knowledge of advertising fundamentals, including brand development, strategy, storytelling, design, new/emerging platforms and technologies, • Achieved full command of the creative process- you know how to bring an idea along from a kernel to a campaign, and sell it to clients while staying on brief JOIN US At We Are Social, we celebrate diverse perspectives and experiences. We welcome unique voices and talents, especially those not traditionally embraced by advertising. Discover more about our culture and our work. Let’s make great things together. We Are Social is an equal opportunity employer, committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. For California applicants, you may view We Are Social's Privacy Notice for California Employees and Job Applicants at https://wearesocial.com/us/wp-content/uploads/sites/3/2023/07/CA-Employee-and-Job-Applicant-CPRA-Notice.pdf

Hands-on expertise in the development of at least one area of software security that includes implementing software in any of the following: operating systems, kernel development, kernel modules, embedded security software, network security engineering, cryptographic protocols, or cryptographic hard

Deep expertise in the Microsoft/Azure ecosystem: Azure OpenAI, AI Foundry, Cognitive Services, Semantic Kernel, and enterprise‑scale cloud architecture patterns. Strong understanding of hybrid AI architectures: local and cloud inference, model orchestration, multimodal runtimes, and RAG pipeline d

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. As an open source platform, we have teams that work at every level of the software stack - from the kernel up through server and desktop applications, all the way to the web

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Experts – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to he

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Associates – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to

We are seeking a results-driven customer experience expert with a natural talent for consultative selling for groundbreaking new TurboTax customer-focused Retail locations across the United States.This role is for someone who thrives on guiding customers to the perfect solution and enjoys the satisf

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Associates – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Experts – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to he

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated Tax Experts – Retail On-Site in one of our new TurboTax locations across the United States on a seasonal basis.This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to he