Job description Responsibilities include, but not limited to: Verification of mixed signal designs and sub-systems using leading edge verification methodologies. Development of directed and constrained random test cases in System Verilog Architect, implement, and/or manage complete metric-driven System Verilog and UVM verification environments as determined by project complexity Define test plans, tests and verification methodology for block / chip-level verification. Work with the design team in generating test-plans and closure of code and functional coverage. Continuous interaction with analog and digital teams in enabling top-level chip verification. Support post-silicon verification activities of the products working with design, product evaluation, and applications engineering team. Minimum qualifications BSEE + 7 years or MSEE + 5 years Digital and/or Mixed Signal IC verification experience. Strong written and verbal communication skills. Strong coding, object-oriented programming, and documentation skills. Strong System Verilog fluency in verification domain. System Verilog Assertion for Dynamic and Formal Verification. Experience in developing test benches, testcases using System Verilog and UVM Knowledge of test-plan generation, coverage analysis, transaction level modeling, pseudo and constrained random techniques, assertion based and formal verification techniques with System Verilog Knowledge of and capability to execute the entire digital verification process without significant assistance Preferred qualifications Knowledge/verification of custom digital interfaces (I2C, SPI, UART, etc.). Extensive experience with a scripting language (Perl, Python, C, etc.) Experience with Mixed signal verification Mixed-signal simulation (Cadence AMS), interfacing with analog functions Experience with writing Verilog-AMS and Real Number Models for Analog Functions Familiarity with verification on multiphase DC-DC controllers Experience with verification of ARM/RISC-V based sub-systems or SoCs. Experience with verification of voltage interfaces like PMBUS, AVS, SVID, SVI3. Experience with formal verification methodology Role: Functional Verification Engineer Industry Type: Consumer Electronics & Appliances Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: Hardware Education UG: Any Graduate PG: Any Postgraduate Key Skills SemiconductorSimulationCodingAnalogVerilogHealthcareSystem verilogPerlSPIPython

Job description As the Infor M3 ERP Senior Manufacturing Consultant , you will be responsible to implement the Infor M3 (V15.x ) ERP system and related business solutions for our global customers. Functional Responsibilities Develop and execute approaches to analyze variety of Healthcare and Life sciences datasets, primarily creating reports on exploratory data analysis and statistical reports Strong proficiency with manipulating data with PL-SQL ( ORACLE 11g) A high comfort level with data manipulation and extraction of meaningful insights from large data and prior experience of working with IMS Health data assets or Patient level data (APLD) data is a plus. Experience with SQL/SAS/WPS is acceptable. read more Key Skills Data analysisSASAnalyticalPharmaHealthcareLife sciencesFMCGMS OfficeAutomotiveIMS

Job description We are looking for a dedicated and detail-oriented Performance Test Engineer with 4 years of hands-on experience in performance and load testing. The ideal candidate will be responsible for ensuring the scalability, stability, and performance of applications through rigorous testing methodologies, using industry-standard tools. Key Responsibilities : Design, develop, and execute performance test strategies for web and enterprise applications. Develop and maintain performance test scripts using tools such as JMeter , LoadRunner , Gatling , or NeoLoad . Conduct load, stress, spike, endurance, and scalability testing to assess system behavior under various conditions. Analyze test results and system metrics to identify bottlenecks and performance issues. Work closely with development, DevOps, and QA teams to resolve issues and optimize performance. Define performance benchmarks and provide actionable recommendations for system improvements. Prepare detailed performance test reports and present findings to stakeholders. Continuously monitor and optimize performance testing processes and frameworks. Required Skills and Qualifications : Bachelors degree in Computer Science, Engineering, or related field. 4 years of hands-on experience in performance and load testing . Strong experience with one or more performance testing tools: Apache JMeter, Client LoadRunner, NeoLoad, Gatling , etc Experience with application monitoring and profiling tools like Dynatrace , AppDynamics , New Relic , or similar. Solid understanding of web protocols (HTTP/S), APIs, client-server architecture, and network fundamentals. Ability to analyze system performance data and identify areas of concern. Experience with scripting languages (eg, Java , Groovy , Python , or JavaScript ) for custom test development. Familiarity with CI/CD pipelines and integrating performance tests into DevOps workflows. Role: Performance Testing Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Load testingTest scriptsTesting toolsEnterprise applicationsJavascriptHTTPApacheapplication monitoringPython

Job description Nucleusteq is looking for Automation Engineer to join our dynamic team and embark on a rewarding career journey Analyzing processes and systems to identify areas for automation Designing and implementing automation solutions using programming languages such as Python, Java, or C++ Configuring and programming automated systems and robots Testing and debugging automation systems to ensure they meet specifications and requirements Collaborating with cross-functional teams, including software engineers and hardware engineers Documenting automated processes and systems Developing and executing training programs for users Maintaining and upgrading automation systems as needed Troubleshooting and resolving issues with automation systems Strong problem-solving and debugging skills Excellent written and verbal communication skills Role: Automation Engineer Industry Type: BPM / BPO Department: Production, Manufacturing & Engineering Employment Type: Full Time, Permanent Role Category: Engineering Education UG: Any Graduate PG: Any Postgraduate Key Skills pythonsoftware testingautomation testingmavencucumberplcmanual testingengineeringselenium webdriverrobotjavaautomationseleniumautomation engineeringwritingjenkinsdebuggingtestngapi testingprogrammingcommunication skills

Job description Job Description Summary As a technical lead in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Job Description Meet our team We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Principal Engineer to join our AI/ML Solution Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Your day-to-day As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org. Lead and mentor teams of ML Engineers and Software Engineers in building scalable AI systems that combine state-of-the-art models with robust engineering practices. Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders. Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, provide technical support, and drive successful project outcomes. What do you need to bring Qualifications Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience . Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models . Design Architect directions on GenAI (Prompt Engineering, Orchestration, LLMs tuning) Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Expert in multiple Programming/scripting languages, i.e., Python, Java, Scala , SQL , SQL, NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, No SQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Expertise with cloud platforms (e.g., AWS, Azure, GCP) and containerization technolo

Job description Excellent C programming knowledge on microcontrollers 8/16/32 bit microcontrollers. Hand-on experience in protocols/interfaces: I2C/SPI/RS485/CAN. Good understanding of hardware and experience in module development for ADC, PWM, Timers, etc. Good debugging skills and software. GSM/GPS/GPRS work experience (Preferred). Development experience in Linux environment (Preferred). Expertise in C, C++ Knowledge of at least one high-level language for scripting (preferably Python) 10) Familiar with the Linux/Unix environment Strong digital electronics fundamentals General familiarity with data structures and algorithms Good analytical skills Ability to work as a team player Ability to coordinate across departments Role Responsibilities: Implement software of embedded devices and systems from requirements to production and commercial deployment Develop, code, test, and debug system software Integrate and validate new product designs Support software QA and optimize I/O performance Assess third party and open source software Key Skills Embedded C, Embedded Linux, Python, Technical Skills, Problem Solving, patch solving, Strong Communication Skills Role: Embedded Systems Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills UnixGSMEmbedded CC++DebuggingData structuresFirmwareGPRSOpen sourcePython

Job description Job Requirements: EXPERIENCE: 5 - 8 years preferred experience in a data engineering role. Minimum of 4 years of preferred experience in Azure data services (Data Factory, Databricks, ADLS, SQL DB, etc.) EDUCATION: Minimum Bachelors Degree in Computer Science, Computer Engineering or in "STEM " Majors (Science, Technology, Engineering, and Math) SKILLS/REQUIREMENTS: Strong working knowledge of Databricks, ADF. Expertise working with databases and SQL. Strong working knowledge of code management and continuous integrations systems (Azure DevOps or Github) Preferred Familiarity with Agile delivery methodologies Familiarity with NoSQL databases (such as MongoDB) preferred. Any experience on IoT Data Standards like Project Haystack, Brick Schema, Real Estate Core is an added advantage Ability to multi-task and reprioritize in a dynamic environment. Outstanding written and verbal communication skills ", Role: Data Engineer Industry Type: Emerging Technologies Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer sciencedata servicesgithubdevopsSchemaAgileManager TechnologyMongoDBManagementSQL

Job description Role Overview : We are looking for an experienced Engineering Program Manager, to operate at the intersection of product, engineering, and business teams. You will be responsible for driving strategic, cross-functional initiatives, leading global programs, and supporting engineering leadership in delivering operational excellence. You will be the central point of coordination for technical programs, helping teams stay aligned, on track, and accountable while navigating ambiguity with confidence. You will bring structure, clarity, and rhythm to complex initiatives and keep things running smoothly behind the scenes. This role is ideal for someone with a solid technical foundation, sharp organizational skills, ability to work with different teams and a proactive mindset for removing roadblocks and delivering results. Key Responsibilities: Program Planning: Facilitate product planning while working closely with the product and engineering teams. Partner with leadership to identify key cross functional programs that will help engineering operational efficiency. Create structure for complex programs by defining goals, timelines, and success metrics on high impact, cross functional strategic programs. Program Execution: Coordinate execution across engineering, product, and operations teams Own regular program updates and reporting to key stakeholders and execs about progress, risks, mitigation plans etc. Analyze product, engineering and business metrics and synthesize complex data into clear narratives and actionable insights for decision making. Identify, track and proactively mitigate the risks across programs by driving decisions across teams. Facilitate and run recurring status meetings and progress reviews with teams and stakeholders. Engineering Operations: Support engineering leadership in preparing and running staff meetings: including designing agenda, sharing pre-reads, follow up on action items and outcome tracking. Drive planning and execution of engineering all hands meeting: including crafting content, building presentations, and managing logistics. Assess existing processes and identify opportunities for continuous improvement in planning, delivery and quality. Support adoption of processes, tool workflows and best practices across eng org. What are we looking for: 5-8 years of experience in program management or technical operations preferably in a high growth SaaS or deep tech environment. Experience in a technical program/project management role within an engineering organization Proven success managing global, cross functional programs with complex interdependencies Strong operational acumen: business, system and process understanding, ability to analyze data and identify patterns. Excellent written and verbal communication skills: ability to distill complex updates into clear, concise narratives. Experience working closely with engineering, product and business teams. Comfortable navigating ambiguity, and bringing structure in unstructured environments Strong understanding of the software development lifecycle, agile methodologies and best practices in product development. A proactive hands on leader who can drive outcomes independently. Preferred Qualifications: Background in engineering, product, or analytics a strong plus Experience supporting leadership at a VP or C level Prior experience with tools like JIRA, confluence, nation, tableau/looker and project management tools Strong design for building decks and story telling in executive forums Understanding of SDLC and product release processes Work Location Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week. What You Will Have at Harness Experience building a transformative product End-to-end ownership of your projects Competitive salary Comprehensive healthcare benefit Flexible work schedule Quarterly Harness TGIF-Off / 4 days Paid Time Off and Parental Leave Monthly, quarterly, and annual social and team building events Monthly internet reimbursement Role: Program Manager - Technology / IT Indust

Job description As our Associate Director, Data Engineering you will be responsible for leading a highly qualified team and solve complex problems. You will partner with multiple stakeholders across the organization to efficiently deliver data infrastructure, data modeling, Generative AI solutions and also play the role of an architect in the team. You will have a very good understanding of data visualisation and analytics. Job Location: Bangalore Key responsibilities: Highly developed verbal and written communication skills, with the ability to work up and down within the organization to influence others and achieve results Design and implement Generative AI solutions (e.g., LLMs, diffusion models, transformers) for real-world gaming applications, including Fraud Detection, Recommender Systems, Responsible Gaming, Conversational AI (chatbots, virtual assistants) etc Build robust pipelines for model training, inference, and continuous learning Partner with key stakeholders across all levels to drive solutions to meet business needs Line Manager a team of 7 direct report Data and Analytics Engineers Accountable for the technical delivery of technical Features to achieve business outcomes Mentor a team of data engineers fostering a culture of innovation. Drive visualisation strategy, ensuring that the business users have access to clear, actionable dashboards and reports. Participates in solution approaches / designs and operating principles Initial point of escalation for team to remove blockers Manage the development of efficient ETL processes to gather, clean, and transform data from various sources Stay abreast of emerging technologies and tools, evaluating their potential to enhance our data capabilities Foster an Engineering Mindset Demonstrates a commitment and passion for associate development, driving the talent agenda. Sets clear goals and expectations around performance, providing timely feedback and stretching targets Stay current with the latest in GenAI research and tooling, bringing innovative approaches to production. Ensure high data availability, reliability and performance across the stack Qualifications & skills required Typically has 8-15 years prior experience in Data engineering with at least 1-2 years focused on Generative AI or LLM 3 - 5 Years of team management experience Experience deploying ML models in production environments (REST APIs, microservices, etc.). Hands-on experience with frameworks such as LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG) systems Experience managing multiple concurrent projects and development teams Experience with stakeholder management Deep understanding of ETL/ELT workflows , batch and real time data processing. Proficient with AWS Cloud technologies (i.e. S3, Lambda, Dynamo, EC2), Python, Spark Strong proficiency in data warehousing, ETL processes. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more Role: Data Engineer Industry Type: Events / Live Entertainment Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate, LLM in Law Key Skills SANTeam managementData modelingHealthcareData processingStake

Job description Major Roles & Responsibilities Preparing Protection Single Line diagram / schematics based on the technical specification / customer requirement. Selection and Ordering of Protection IEDs, Auxiliary Relays & SCADA/RTU system for the project. Should be able to review the equipment vendor s drawings/documents. Preparing interlocks and logics / utility practices for different bus-bar arrangement. Supporting to tendering department by preparing the tender stage Bill of material (BOM), pre bid quarries, Tender stage Drawing, coordination with site Engineers for technical input of site for green field /brown field projects. Preparing SCADA architecture and review of Telecom system (FOTE, PLCC, etc.) by major manufacturers. Preparing the detailed schematic and logic diagrams for control and protection panel. Preparing optimized Control cable philosophy and cable schedules. Should have performed CT, PT, cables, battery banks, battery chargers, auxiliary transformers, UPS sizing calculations. Tendering support, detailed engineering of Both AIS and GIS Substation projects. Performing relay setting calculations. Role Summary This position will be responsible for all aspects of the engineering design oversight and proposal engineering management of multiple complex utility projects. ownership of the project scope. Interface and coordination of other disciplines for high and extra high voltage substations (HV and EHV) for utility substations and Wind Power plant switchyards. Qualification/Requirements Minimum of a bachelor s degree in engineering or technical discipline (Electrical or Electronics Engineering function) from an recognized university. Minimum of four (4) years of experience in Secondary Design and Engineering of GIS and AIS Substations projects for voltage level of 110kV and above. Understands interfaces with primary, civil, mechanical engineering, Testing and commissioning Dept. Must be self-motivated with an ability to balance multiple projects under tight deadlines. Must have excellent written and verbal communications skills, including ability to write clear and detailed technical reports, presentations and emails. Knowledge of Protection relays, SAS, Plant SCADA and Telecom system (FOTE, PLCC, etc.) by major manufacturers. Team player with strong communication and interpersonal skills. Must be proficient in Microsoft Word, Excel and Outlook. Preference for the candidate having knowledge on the design tool like AutoCAD, E3 and EPLAN. Role: Electrical / Electronics Engineer Industry Type: Engineering & Construction Department: Production, Manufacturing & Engineering Employment Type: Full Time, Permanent Role Category: Engineering Education UG: Any Graduate, B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills GISSubstationTelecomRTUSASAutoCADSingle line diagramEngineering DesignmicrosoftSCADA