4 Vlms Jobs

As a member of the AI Research team, you will drive the next wave of generative and multimodal intelligence to empower our autonomous drywall-finishing robots. Your main focus will involve turning cutting-edge vision-language and diffusion advances into robust, real-time systems that have the capability to see, reason, and act on dynamic construction sites. Your responsibilities will include researching and innovating diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation. You will be tasked with architecting and training Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that establish connections between textual work orders, CAD plans, and sensor data to achieve pixel-level understanding. Additionally, you will lead the development of auto-annotation pipelines that can scale to millions of frames and point-clouds with minimal human effort, utilizing techniques such as active learning, self-training, and synthetic data generation. Furthermore, you will be responsible for optimizing and compressing models for deployment on Jetson-class edge devices under ROS 2. The full lifecycle of the project, from problem definition to production hand-off to perception and controls teams, will be in your hands. You will also be expected to publish internal tech reports and external conference papers, as well as mentor interns and junior engineers. To qualify for this role, you should have at least 3 years of experience in deep-learning R\&D or a Ph.D./M.S. in CS, EE, Robotics, or a related field with a strong publication record. Demonstrated expertise in diffusion models and multimodal transformers/VLMs is essential, along with a proven track record of building large-scale data-centric AI workflows. Proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training is required, as well as familiarity with edge-AI runtimes and CUDA/C++ performance tuning. Joining our team will offer you the opportunity to own breakthrough technology from conception to deployment on active job-sites. You will collaborate cross-functionally with perception, controls, and product teams, and have the chance to shape an industry by introducing intelligent robots to replace dangerous and repetitive construction labor. We offer a competitive salary, equity, hardware budget, flexible hybrid work arrangements, and a culture that values deep work and rapid iteration. If you possess skills in Vision-Language Models, Vision-Language Alignment, R\&D, hold a Ph.D./M.S. in CS, EE, Robotics, and have experience with TensorRT, ONNX Runtime, and CUDA/C++, then this role might be the perfect fit for you.,

Job Requisition ID # 25WD90121 Position Overview Are you a problem solver who thrives on building real-world AI applications Do you geek out over LLMs, RAG, MCP and agentic architectures Want to help shape a brand-new team and build cool stuff that actually ships If so, read on. Were building a new Applied AI team within Autodesks Data and Process Management (DPM) group. As a Founding Principal Engineer, youll be at the heart of this initiative working in a highly dynamic environment, designing, building, and scaling AI-powered experiences across our diverse portfolio providing critical Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to our customers. Youll work on real production systems, solve hard problems, and help define the future of AI at Autodesk. Responsibilities Build AI-powered Experiences: Architect and develop production-grade AI applications that are scalable, resilient & secure Shape AI Strategy: Help define the AI roadmap for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction Operationalize LLMs: Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints Build for Builders: Design frameworks and tools that make it easier for other teams to develop AI-powered experiences Guide Engineering Practices: Collaborate with other engineering teams to define and evolve best practices for AI experimentation, evaluation, and optimization. Provide technical guidance and influence decisions across teams Drive Innovation: Stay on top of the latest in AI technologies (e.g. LLMs, VLMs, Foundation Models), Architecture Patterns such as fine-tuning, RAG, function calling, MCP and moreand bring these innovations to production effectively Optimize for Scale: Ensure AI applications are resilient, performant, and can scale well in production Collaborate Across Functions: Partner with product managers, architects, engineers, and data scientists to bring AI features to life in Autodesk products Minimum Qualifications Masters in computer science, AI, Machine Learning, Data Science, or a related field 10+ years building scalable cloud-native applications, with 3+ years focused on production AI/ML systems Deep understanding of LLMs, VLMs, and foundation models, including their architecture, limitations, and practical applications Experience fine-tuning LLMs using real-world datasets and integrating them into production systems Experience with LLM related technologies including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, MCP, in production settings Deep understanding of data modeling, system architectures, and processing techniques Experience with AWS cloud services and SageMaker Studio (or similar) for scalable data processing and model development Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud. Proficiency in Python or TypeScript You love tackling complex challenges and delivering elegant, scalable solutions You can explain technical concepts clearly to both technical and non- technical audiences Preferred Qualifications Experience building AI applications in the CAD or manufacturing domain. Experience designing evaluation pipelines for LLM-based systems (e.g., prompt testing, hallucination detection, safety filters) Familiarity with tools and frameworks for LLM fine-tuning and orchestration (e.g., LoRA, QLoRA, AoT P-Tuning etc.) A passion for mentoring and growing engineering talent Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents Contributions to open-source AI projects or publications in the field Bonus points if youve ever explained RAG to a non-technical friendand they got it Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk its at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When youre an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future Join us! Salary transparency Salary is one part of Autodesks competitive compensation package. Offers are based on the candidates experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk Please search for open jobs and apply internally (not on this external site). Show more Show less

JOB OVERVIEW: To ensure regulatory compliance of LIMS at Global Piramal Pharma sites. Responsible to support in implementation of LIMS KEY STAKEHOLDERS: INTERNAL Business ( Site / Central functions) IT Team (e.g. Infra / PPS IT/Quality IT/SAP) KEY STAKEHOLDERS: EXTERNAL IT Vendors / OEM Vendors IT Contractors/Consultants REPORTING STRUCTURE: (Reports To/ Direct Reports Y/N) Will report to Associate General Manager - Quality eCompliance ESSENTIAL QUALIFICATION: Graduate in Science/Pharmacy/Engineering Post Graduation Science /MBA RELEVANT EXPERIENCE: 8 to 12 years of relevant experience. Must have experience in LIMS implementation. Key Role / Responsibilities : To have good understanding and knowledge on LIMS application functionalities and its integration with other systems. To provide SME support for the implementation of LIMS (Laboratory Information Management System) across sites and support the key decisions for the changes that required in the workflow of the system from Quality and e-compliance perspective. To support the validation of LIMS application (specifically). Additionally, to support the validation of Enterprise Systems, LMS (Learning Management System), VLMS (Validation Life Cycle Management Systems) and other applications systems to comply with regulatory guidelines. To define validation strategy and provide inputs to validation planning for projects; along with the review of validation/qualification deliverables of the assigned project/system in line with the organizational SOPs & adhering to company procedures and regulatory expectations. To ensure infrastructure (Network, Servers, Cloud, Database) are qualified as per required Quality standards and required documents are in place. To support the various phases of Computer System including Planning, Implementation, Maintenance, and Retirement activities by ensuring compliance with internal/external regulatory requirements. To review other QMS documents e.g. Change control/Deviation/ CAPA/Incidents-Discrepancy/User access forms in line with the organizational/site specific procedure. To communicate/discuss the identified gaps during the GxP computerized system assessment to responsible team. Coordinate with the relevant IT team for the compliance/closure of the identified gaps, incidents, deviations. To guide and train IT & Business teams at Site for CSV, relevant areas of Compliance and Validation for GxP IT and electronic systems, Data Integrity, and Regulatory Compliance activities. To perform periodic and audit trial review of the GxP application system as per defined frequency along with the relevant stakeholders. To support sites to ensure audit readiness and ability to represent the validation package of enterprise GxP application including LIMS during regulatory audits and can be able to perform DI Audits at site. To coordinate & build good working relations with Site/business users, Subject Matter Experts (SMEs) and IT operations team, Manage vendors / partners / support teams. Key Competencies :EY COMPETENCIES: KEY COMPETENCIES: To have in depth understanding of regulatory requirements and guidelines required to comply IT systems in Pharma industry DI, ALCOA+, Part 11, Annex 11, GAMP 5 etc. Knowledge and Experience of Pharma domain Quality (QA, QC) Understanding and exposure to Pharma CSV upcoming trends. A team player with good communication skills (verbal & written) Knowledge and experience on handling of CSV project related QMS e.g. Change control, deviation, CAPA and incidents. Qualifications Graduate in Science/Pharmacy/Engineering Post Graduation Science /MBA

JOB OVERVIEW: To ensure regulatory compliance of LIMS at Global Piramal Pharma sites. Responsible to support in implementation of LIMS KEY STAKEHOLDERS: INTERNAL Business ( Site / Central functions) IT Team (e.g. Infra / PPS IT/Quality IT/SAP) KEY STAKEHOLDERS: EXTERNAL IT Vendors / OEM Vendors IT Contractors/Consultants REPORTING STRUCTURE: (Reports To/ Direct Reports Y/N) Will report to Associate General Manager - Quality eCompliance ESSENTIAL QUALIFICATION: Graduate in Science/Pharmacy/Engineering Post Graduation Science /MBA RELEVANT EXPERIENCE: 8 to 12 years of relevant experience. Must have experience in LIMS implementation. Key Role / Responsibilities : To have good understanding and knowledge on LIMS application functionalities and its integration with other systems. To provide SME support for the implementation of LIMS (Laboratory Information Management System) across sites and support the key decisions for the changes that required in the workflow of the system from Quality and e-compliance perspective. To support the validation of LIMS application (specifically). Additionally, to support the validation of Enterprise Systems, LMS (Learning Management System), VLMS (Validation Life Cycle Management Systems) and other applications systems to comply with regulatory guidelines. To define validation strategy and provide inputs to validation planning for projects; along with the review of validation/qualification deliverables of the assigned project/system in line with the organizational SOPs & adhering to company procedures and regulatory expectations. To ensure infrastructure (Network, Servers, Cloud, Database) are qualified as per required Quality standards and required documents are in place. To support the various phases of Computer System including Planning, Implementation, Maintenance, and Retirement activities by ensuring compliance with internal/external regulatory requirements. To review other QMS documents e.g. Change control/Deviation/ CAPA/Incidents-Discrepancy/User access forms in line with the organizational/site specific procedure. To communicate/discuss the identified gaps during the GxP computerized system assessment to responsible team. Coordinate with the relevant IT team for the compliance/closure of the identified gaps, incidents, deviations. To guide and train IT & Business teams at Site for CSV, relevant areas of Compliance and Validation for GxP IT and electronic systems, Data Integrity, and Regulatory Compliance activities. To perform periodic and audit trial review of the GxP application system as per defined frequency along with the relevant stakeholders. To support sites to ensure audit readiness and ability to represent the validation package of enterprise GxP application including LIMS during regulatory audits and can be able to perform DI Audits at site. To coordinate & build good working relations with Site/business users, Subject Matter Experts (SMEs) and IT operations team, Manage vendors / partners / support teams. Key Competencies :EY COMPETENCIES: KEY COMPETENCIES: To have in depth understanding of regulatory requirements and guidelines required to comply IT systems in Pharma industry DI, ALCOA+, Part 11, Annex 11, GAMP 5 etc. Knowledge and Experience of Pharma domain Quality (QA, QC) Understanding and exposure to Pharma CSV upcoming trends. A team player with good communication skills (verbal & written) Knowledge and experience on handling of CSV project related QMS e.g. Change control, deviation, CAPA and incidents. Responsibilities Qualifications Graduate in Science/Pharmacy/Engineering Post Graduation Science /MBA