• Define the architecture and evolution of scalable, modular, and secure software platforms for T&D configuration systems, including tools for device configuration, substation engineering, and grid automation workflows. • Define technical strategy and oversee the design of cloud-native platforms using modern frameworks (.NET, Java, Python, TypeScript) that support desktop, edge, and cloud deployments, with emphasis on performance, resilience, and maintainability. • Drive the integration of IEC 61850 engineering workflows (SCL-based ICD, SCD, SSD) into intuitive, automated tooling ecosystems aligned with modern UI/UX, API design, and utility integration requirements. • Ensure cross-functional alignment, acting as the authority between firmware, UI/UX, and power systems teams, enabling coherent system design and tight integration between engineering workflows and device behavior. • Collaborate with cybersecurity, systems, and hardware architects to deliver secure, compliant solutions for critical infrastructure, incorporating secure development lifecycle (SDLC) and DevSecOps practices. • Drive reuse of software components across product lines, fostering platform consistency, reducing duplication, and accelerating development. • Oversee development and lifecycle management of configuration and commissioning tools for protection and control devices, ensuring seamless integration with SCADA/DMS/EMS and other utility systems. • Conduct software and architecture reviews, ensure compliance with industry standards (IEC 61850, IEC 61968/70, CIM, IEC 62351), and manage the end-to-end software development lifecycle from requirements to deployment and support. • Partner with architects, systems engineers, and utility customers to define and deliver customer-centric, technically robust solutions that improve reliability, visibility, and flexibility of grid systems. • Monitor emerging technologies (cloud-native services, model-driven engineering, AI/ML) for relevance to the T&D domain and contribute to technology roadmaps, product strategy, and IP generation through patents, whitepapers, and technical forums. • Mentor and guide software engineers, promote a culture of technical excellence and innovation, and represent the organization in customer engagements, RFPs, and industry events.

Role Description TetraScience is the scientific data and AI company. Our documentation is how customers, from bench scientists to platform engineers, learn to build on the platform, and increasingly it is how AI agents consume the platform too. We are looking for a Documentation Engineer to own documentation as a system: - Manage the pipelines that build and publish documentation. - Oversee AI-augmented workflows that generate drafts for human review and refinement. - Handle the review and publish process. - Ensure infrastructure makes documentation reliably consumable by AI agents. This is primarily a documentation systems role, not only a writer who uses tools. The differentiator is building and owning the systems that produce, validate, publish, and AI-enable our documentation. Strong writing and editorial judgment are still required, but the center of gravity is tooling and systems, and a large portion of the day-to-day is building. - Lead the growth of our existing docs-as-code foundation and AI-assisted documentation workflows into a docs-as-AI-agents capability. - Own editorial quality and the release-notes cadence while focusing on building leverage. - Own the documentation site and its publishing as software: the docs-as-code repo, CI/CD publishing pipelines, build performance, and automated checks. - Build and grow AI-augmented documentation workflows: AI-assisted drafting, summarization, classification, consistency and staleness checks, and a feedback loop for quality improvement. - Structure and transform content for AI systems to reliably chunk, index, and reason over it. - Generate reference documentation from source (OpenAPI and related specs) and maintain alignment with platform changes. - Lower the barrier for internal contributors to ship their own docs through the docs-as-code workflow and reduce repetitive work through automation. - Own the release-notes and customer-communications cadence with every platform release and run the SME review for accuracy and timeliness. - Own the documentation style guide, hold the review-and-publish gate, and keep the team runbook current. Qualifications - 5+ years owning documentation tooling, content engineering, or developer documentation for a developer-platform or enterprise B2B product. - Engineering ability in a scripting or web stack (e.g., Python, TypeScript, or JavaScript) and fluency with docs-as-code: Git, pull-request review, CI/CD, and a static-site or CMS publishing pipeline. - Hands-on experience building AI-augmented or LLM-backed workflows: integrating LLM APIs, AI-assisted authoring, and structuring content for AI consumption. - Ability to read and reason about a real codebase and API surface well enough to document it accurately and build tooling against it. - Strong editorial judgment: ability to clarify dense engineering changes for customer safety. - Bachelors or Masters degree in a technical field, or equivalent practical experience. Requirements - Experience making documentation consumable by AI agents (llms.txt, content negotiation, RAG pipelines, MCP servers). - Experience in BioPharma or scientific software, or in regulated and validated (GxP) environments. - Experience generating reference docs from OpenAPI or related specifications with two-way Git sync. - Developer-relations or developer-education exposure. Benefits - 100% employer-paid benefits for all eligible employees and immediate family members. - Unlimited paid time off (PTO). - 401K. - Flexible working arrangements - Remote work. - Company paid Life Insurance, LTD/STD. - A culture of continuous improvement where you can grow your career and get coaching.

Role Description Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States. 50-70 % National Travel. We’re seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions. You will work as a part of a team to help build, integrate, and test some of the world’s largest multi-GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure. - Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus) - Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools - Produce as-built documentation, performance reports, and share best practices amongst the team. - Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads - Work directly with customers onsite (travel both regionally and across the U.S.) Qualifications - 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields - Deep hands-on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager - Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks - Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience - Experience with GenAI/HPC networking (InfiniBand and/or RoCE) - Experience working in Linux based parallel computing environments at scale - Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm) - Ability to travel up to 70% of the time across the U.S. as needed for projects - Strong customer facing and communication skills Requirements - Bachelor’s degree - NVIDIA certifications (NCA, NCE, DGX) - Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics - Exposure to hybrid cloud or GPU cloud environments - Experience with GPU observability/performance profiling tools Benefits - Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $145,000 to $199,100. Company Description We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. - Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. - Join us to build a future that works for everyone because Progress Takes All of Us. - Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

• Design, implement, and maintain data quality rules, checks, and controls across enterprise data assets. • Perform data profiling, root cause analysis, and anomaly detection across SAP and non-SAP data sources. • Partner with business stakeholders to understand data quality issues, business impacts, and remediation priorities. • Translate business requirements into measurable data quality rules and thresholds. • Develop and maintain data quality frameworks, including reusable SQL patterns, UDFs, stored procedures. • Implement automated scheduling and orchestration of data quality checks using Snowflake-native capabilities (e.g., tasks, streams) and/or pipeline orchestration tools (ie: Informatica). • Implement data quality monitoring and observability scorecards, and reporting for key metadata domains. • Own and evolve enterprise data quality KPIs/scorecards, including standardized definitions, thresholds, and executive-ready reporting across domains. • Analyze data discrepancies and ensure reconciliation back to systems of record. • Lead issue management workflows, including defect triage, prioritization, root cause documentation, corrective action validation, and prevention recommendations. • Contribute to documentation of data quality standards, rules, and operational procedures. • Assist in user acceptance testing and quality assurance for new or enhanced data assets. • Provide input and feedback to improve enterprise data quality processes and tooling.