Requisition Number: 2344603 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: As a senior member of the Cloud Data Engineering team, the candidate should provide: - The technical leadership for all the data engineering efforts on public cloud for the Optum Rx Data Estate scrum team. - Will design and build scalable and cost-effective public cloud (Azure) native solutions as per the business use cases - Should be hands-on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) - Standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.) - As a tech lead, he should be responsible for the deliverables of the team working closely with the product owners and the delivery leads You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Engineering Degree in computer science or equivalent experience - 10+ years of Data Engineering experience - 5+ years of Data engineering experience in Spark - 3+ years on Cloud native data engineering technologies - Experience using AI/ML - Technical skill sets: - Experience in Dev Ops and CI/CD - Jenkins, Terraform (Azure) and containers (Docker) - Work experience on Proof of Concepts for AI/ML - Hands-on experience on building data engineering pipelines on Spark/ Data bricks (Azure) - Hands-on experience with stream data ingestion /processing with Spark - Hands-on experience on other Azure native data technology stack - Azure Data factory, Synapse, Snowflake - Exposure to providing ETL solutions for Azure native stack and in Spark - Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse concepts Preferred Qualifications: - Experience working with business partners for requirement gathering, scoping, estimation, and execution plan for various capabilities - Experience working in an Agile environment with multiple Scrum and Kanban teams *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description - Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation. - Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools. - Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents. - Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments. - Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems. - Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning. Qualifications - A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents. - Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation. - Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis. - Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence. Requirements - Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).

Role Description - Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale - Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers - Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets - Collaborate with a team of driven individuals committed to building general-purpose Physical AI Qualifications - Excellent software engineering skills (Python, Go, or similar) - Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years) - Deep understanding of distributed systems (Spark, Kafka, or similar) - Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3) - Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform) Requirements - Bonus: Experience supporting AI systems, in particular embodied AI like self-driving

Role Description - Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation. - Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools. - Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents. - Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments. - Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems. - Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning. Qualifications - A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents. - Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation. - Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis. - Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence. Requirements - Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).