4 Grid Computing Jobs

We are seeking a highly skilled Lead Engineer - Power System Study to join our team. The ideal candidate will have a strong background in power systems and renewable energy, with a focus on simulation modeling and grid interconnection requirements. This role is crucial for analyzing grid solutions, designing and reviewing Balance of Plant (BoP) for wind power plants, and leading a team of engineers. You will be a key liaison with grid operators and customers, ensuring our projects meet all technical and regulatory standards. Key Responsibilities Power System Modeling & Analysis: Develop and review electrical power system simulation models for wind and hybrid plants. Analyze site-specific grid interconnection solutions and ensure compliance with grid codes. Design & Review: Design and review the Balance of Plant (BoP) for wind power plants. This includes substation engineering, load flows, short circuit analysis, and relay settings. Stakeholder Engagement: Present findings to and conduct meetings with grid operators and customers for project-specific needs. Team Leadership: Lead a team of engineers and trainees, providing guidance and technical mentorship. Documentation & Reporting: Write and review reports, ensuring all documentation is accurate and thorough. Qualifications A Master's or Bachelor's degree in Power System or a similar engineering specialization. Proven relevant experience in power system studies within the renewable energy or power domain. Experience in designing and reviewing renewable grid interconnection solutions. In-depth exposure to Grid Codes and experience providing compliance for different TSOs. Proficiency in simulation tools such as PSS/E, Power Factory, PSCAD, or ETAP . Strong proficiency in English communication skills. Competencies Technical Expertise: A solid electrical engineering background with expertise in substation engineering, transient analysis, harmonic assessment, and relay coordination. Leadership: An innovative and results-oriented attitude with managerial and leadership exposure. Project Management: Experience in efficiently managing projects, tasks, and guiding a team. Software Skills: Proficiency in MS Office products (Word, Excel, PowerPoint).

Are you searching for a challenging role where you can truly make a difference Join us at Siemens Energy and be part of a team that is dedicated to energizing society while combating climate change. Our innovative technology is crucial, but it is our people who drive the change. At Siemens Energy, we are looking for brilliant minds who can innovate, connect, and lead us towards transforming the world's energy systems. If you are a caring, agile, respectful, and accountable individual who values excellence, then you might be the perfect fit for our team. As an Agentic AI and Domain-Specific LLM Developer at Siemens Energy, you will play a vital role in developing customized solutions utilizing the NVIDIA Morpheus Cyber AI framework. Join us in creating a state-of-the-art Grid Cybersecurity software platform that aims to protect critical infrastructure in the electric sector from evolving cyber threats. Your responsibilities in this challenging and forward-thinking position include: - Designing, developing, and implementing cybersecurity solutions using NVIDIA Morpheus Cyber AI framework, NVIDIA AgentIQ toolkit, NVIDIA Blue Field, Domain-Specific LLM, Open API, and OpenUSD. - Collaborating with cross-functional teams to integrate AI-driven security features into the Grid Cybersecurity platform. - Analyzing and processing large datasets to detect and address potential published and zero-day OT/ICS vulnerabilities. - Developing and maintaining robust, scalable, and secure software CI/CD processes, with expertise in DevSecOps software composition analysis tools. - Troubleshooting, debugging, and optimizing existing software for enhanced performance and security. - Staying abreast of the latest advancements in AI and cybersecurity to ensure our platform remains innovative and competitive. To excel in this role, we are looking for individuals who possess: - A Bachelor's or Master's degree in Artificial Intelligence, OT/ICS Cybersecurity, Computer Science, Embedded Device Engineering, or a related field. - Proven experience with NVIDIA Morpheus Cyber AI framework and other comparable AI frameworks. - Experience in operational technology (OT)/industrial control systems (ICS) critical infrastructure cybersecurity technologies. - Strong programming skills in Python, with additional proficiency in languages such as C++ or Java considered a plus. - Commercial product experience with AI, machine learning, and customizing common AI frameworks for specific use cases. - Strong background in DevOps, DevSecOps, AIOps/AI Governance, and MLOps. - Up-to-date knowledge of new AI developments in the cybersecurity domain. - Excellent collaboration, problem-solving, and communication skills. - Familiarity with project management systems like Jira or Trello. - Understanding of Software Bill of Materials (SBOM) for vulnerability management. - Experience with grid computing, large-scale distributed data processing, private cloud platforms (e.g., AWS, Azure, Google Cloud), networking protocols, security measures, and digital twins for cybersecurity. If you are passionate about AI, cybersecurity, and making a positive impact, we invite you to join our dynamic team at Siemens Energy and contribute to shaping the future of energy systems.,

We have Immediate Openings on SAS ADMIN for Contract to Hire role for multiple clients. Skills SAS ADMIN Experience 8+Years Location Hyderabad Job type Contract to HIRE IDESLABS - Job Description : Install, configure, and maintain SAS software and related products. - Monitor SAS servers, services, and jobs to ensure optimal performance and availability. - Implement and maintain security measures and access controls for SAS environments. - Manage SAS metadata including users, groups, roles, and permissions. - Troubleshoot SAS platform issues and provide timely resolution. - Plan and execute SAS software upgrades and patches. - Collaborate with SAS developers, analysts, and users to deploy applications and solutions. - Develop and maintain documentation related to SAS configurations, processes, and procedures. - Provide technical support and training to SAS users as needed. - Stay current with SAS technologies, updates, and best practices. Requirements: - Proven experience as a SAS Administrator or in a similar role. - Strong knowledge of SAS architecture and components. - Experience with SAS Management Console, SAS Metadata Server, and SAS Grid Computing. - Proficiency in scripting languages (e.g., Shell scripting, Python) for automation tasks. - Familiarity with database management systems (DBMS) and SQL. - Excellent problem-solving skills and attention to detail. - Strong communication and interpersonal skills. Preferred Qualifications: - 6+ years of real time experience in SAS with linux (Must) - SAS Certified Platform Administrator for SAS 9 . - Experience with SAS architecture and administration. - Knowledge of SAS security practices and standards. - Familiarity with SAS integration with other enterprise systems (e.g., LDAP, Active Directory). - Experience with performance tuning and optimization of SAS applications

The team at Emperen continues to grow driven by demand and a commitment to continuous Description : This is a contract role for a Quant Developer at Emperen Technologies. The Quant Developer will be responsible for trading analysis, quantitative analytics, quantitative finance, mathematics, and statistics. This Role Is Located On-site In 3+ years professional programming experience in C# or C++. 3+ years developing and supporting critical applications in financial institutions or considerable experience in other areas/industries. BSc in a scientific discipline such as Computer Science, Mathematics, Physics, or Engineering. Higher degree (MSc or PhD) in a scientific discipline. Quant Developers need strong programming skills to implement complex algorithms and models. C# and C++ are commonly used in financial applications for their performance and efficiency. Quant Developers often work on similar financial applications, requiring a deep understanding of financial systems and tools. A strong foundation in a scientific discipline is crucial for understanding and developing quantitative models and algorithms. Advanced degrees often provide deeper knowledge in quantitative methods, which is beneficial for complex financial to have : Experience designing/building end-user interfaces (e.g., risk visualization, pricing). Experience working with Quantitative analysts. Familiarity with other programming languages (Python, C++). Knowledge of pricing theory and financial engineering. Knowledge of grid computing (MS HPC) or Azure Batch. Data Science knowledge/experience. Familiarity with continuous delivery/integration using Team City and GitHub.