Engineer 4 Jobs

The incumbent will be responsible for engineering, design review, technical evaluation, and project coordination activities related to Mechanical Balance of Plant (BOP) systems across thermal power projects. The role requires extensive exposure to engineering design, vendor management, technical bid evaluation, and coordination with project execution teams to ensure timely and quality delivery of BOP packages. Source: Adani Group | Job ID: 58091

Job Details: Job Description: In this role, you will lead cross-functional collaboration to advance circuit simulation and modeling capabilities for advanced foundry technologies. Your responsibilities will include: Vendor collaboration: Partnering with EDA vendors to enhance and validate industry-standard simulation tools and design flows. Technology alignment: Working closely with technology leaders, VLSI physical design teams, and PDK teams to ensure simulation and modeling capabilities are aligned with roadmap needs. PDK readiness: Driving readiness of high quality simulation and modeling solutions so they are available in time for PDK delivery. Qualifications: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Bachelor’s degree in electrical engineering or computer engineering or related engineering discipline with 12&#43; years or master’s degree in electrical engineering or a related discipline and at least 10 years of industry experience in the semiconductor field; or Ph.D. in Electrical Engineering or a related discipline with a minimum of 8 years of industry experience in the semiconductor field. 5&#43; years supporting circuit simulation tools and working with circuit simulation vendors to develop solutions. 5&#43; years collaborating with EDA vendors on optimizing circuit simulation and modeling for advanced technology nodes. 3&#43; years of hands-on experience with BSIM or other compact models for transistor modeling at advanced nodes (e.g., FinFET, GAA).</

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on service management, helping teams respond to incidents, run on-call, and automate their operations, you will work with practitioners and leaders across the industry and broaden your impact to the SRE, Engineer, DevOps, and Operations community at large. This is a unique opportunity to use both your engineering and creative storytelling skills to shape the landscape in cloud observability, incident response and service management. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Act as a subject matter expert for service management (incident response, on-call, IDP, Work Management, Workflow Automation, Agent Builder, and operational automation) for Datadog's advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in DevOps, Monitoring, Observability and Security e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with product engineering teams to build compelling demos, and coach internal engineering teams on effective communication and presentation Interface with open source communities to drive key messaging in the market and develop new integrations for Datadog Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: Approximately 5+ years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer or Software Developer with hands-on experience as an on-call/incident responder and running production systems in complex IT environments You have a strong understanding of core service-management practices

Associate Mail runner Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 12th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP574671

Graphcore Senior Principal AI SoC Validation (Bring-up lead) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world's most transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the future of AI computing. The Opportunity As Technical Services Director, you will lead the teams that operate and evolve Graphcore's engineering labs, high-performance computing (HPC) platforms, and data center environments globally. You will be accountable for reliable, secure, cost-effective infrastructure that supports demanding engineering, AI, silicon-development, and validation workloads. This role combines people leadership, infrastructure strategy, operational excellence, capacity and financial planning, procurement, and program delivery. You will partner with Engineering, Information Technology, Security, Finance, Facilities, Supply Chain, customers, and external suppliers. The position is based onsite in Austin and requires travel to company facilities, data centers, and supplier locations, including international travel. What You'll Do Lead, recruit, mentor, and develop the systems administration, lab operations, and technical services teams responsible for the facility supporting global Engineering and Research and Development. Own the reliability, efficiency, protection, safety, supportability, and continuous improvement of engineering labs, HPC systems, and infrastructure facilities. Establish service levels, operating standards, escalation paths, performance measures, monitoring, observability, automation, ticketing, and configuration-management practices. Translate engineering and customer requirements into infrastructure roadmaps, capacity p

Mechanical and Thermal Laboratory Technician Position Summary Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data center hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. Responsibilities The Mechanical and Thermal Laboratory Technician is a hands-on technical role supporting the development and validation of advanced AI hardware systems for data center environments. Working as part of a cross-functional engineering team, this individual will be responsible for executing mechanical and thermal laboratory testing, supporting product validation activities, prototype fabrication and assisting with troubleshooting and root-cause analysis of complex hardware systems. Requirements Associate degree in Mechanical Engineering Technology or a related technical field preferred. Equivalent combinations of education, training, and relevant experience will be considered, including experienced non-degreed candidates or candidates with degrees in unrelated disciplines. Minimum of 5 years of experience working in mechanical laboratories, machine shops, test labs, or similar technical environments. Experience with server hardware platforms and data center equipment. Knowledge of Direct Liquid Cooling (DLC) systems and their implementation in server environments. Experience operating forklifts, pallet jacks, and other material-handling equipment. Key Responsibilities Execute mechanical and thermal test plans to validate hardware designs a

We are a team of engineers that translate our real-world experience to help our user communities solve problems. With a focus on service management, helping teams respond to incidents, run on-call, and automate their operations, you will work with practitioners and leaders across the industry and broaden your impact to the SRE, Engineer, DevOps, and Operations community at large. This is a unique opportunity to use both your engineering and creative storytelling skills to shape the landscape in cloud observability, incident response and service management. What You'll Do: Act as a subject matter expert for service management (incident response, on-call, IDP, Work Management, Workflow Automation, Agent Builder, and operational automation) for Datadog's advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader in DevOps, Monitoring, Observability and Security e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more Partner with product engineering teams to build compelling demos, and coach internal engineering teams on effective communication and presentation Interface with open source communities to drive key messaging in the market and develop new integrations for Datadog Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code Who You Are: Approximately 5+ years of experience as a Platform Engineer, Site Reliability Engineer, DevOps Engineer or Software Developer with hands-on experience as an on-call/incident responder and running production systems in complex IT environments You have a strong understanding of core service-management practices (incident response, on-call, post incident reviews, and SLOs), using tools like Datadog, PagerDuty, Opsgenie, http://incident.io , Rootly, Jira Cloud Platform, Cortex, or similar and know how to navigate operational challenges of different

About the Team OpenAI’s Industrial Compute team is building and productizing infrastructure capabilities that help organizations deploy and operate advanced AI systems at scale. The team works across AI hardware, systems engineering, physical infrastructure, and customer delivery to turn emerging technologies into reliable, repeatable infrastructure solutions. Our work sits at the intersection of technical strategy, product development, engineering, and deployment. We partner closely with customers and internal engineering teams to solve complex infrastructure challenges spanning compute, power, cooling, controls, and facility efficiency. About the Role We are seeking a senior, hands-on Data Center Infrastructure Architect to develop and optimize the physical infrastructure required for large-scale AI deployments. This is a broad technical role spanning data center architecture, electrical and mechanical systems, high-density compute, controls, telemetry, and digital modeling. You will use simulation, operational data, and digital-twin approaches to evaluate infrastructure designs, identify system-level constraints, and improve efficiency, reliability, cost, and speed of deployment. The ideal candidate can move fluidly between first-principles analysis, facility and equipment design, computational modeling, engineering review, and real-world implementation. You should be comfortable working across disciplines rather than operating solely within electrical, mechanical, or software boundaries. Key Responsibilities Define system-level architectures for high-density AI data centers across power, cooling, IT equipment, controls, and facility infrastructure. Develop digital twins and other computational models that represent the behavior of data center systems under changing workloads, environmental conditions, equipment configurations, and failure scenarios. Use design and operational data to identify constraints, improve PUE and related efficiency metrics, and optimize

Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact—building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come. In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs 18-24 months ahead of current development cycles. What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI-native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value—this is your role. This role can be based out of our San Francisco office or remotely in USA region. Role Responsibilities Contribute to the Future of Search Infrastructure: Drive the long-term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI-native applications to build conviction around platform investments 12–18 months ahead of market demand Champion the Customer & Innovation: Act as the voice of customers building mission-critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in

Associate housekeeping supervisor Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 12th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568193

Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568184

Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP568190

Associate housekeeping Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: 8th Experience: 1 - 3 years Source: Sodexo India | Job Code: IJP568187

MST Supervisor Address: Comcast India Engineering Center I LLP Module 7 & 8 5th floor Phase 2 Chennai One North Block 200 feet Thoraipakkam Pallavaram Ring Road Chennai Facility: COMCAST INDIA - IFM CHENNAI Qualification: ITI Experience: 1 - 5 years Source: Sodexo India | Job Code: IJP569391