Parasitic Extraction Jobs in Bengaluru

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Qualcomm, a leading innovator in technology, is pushing the boundaries of possibility to drive the digital transformation and create a smarter, more connected future. As a Hardware Engineer at Qualcomm, you will play a key role in designing, optimizing, verifying, and testing a wide range of electronic systems. This includes everything from circuits, mechanical systems, digital/analog/RF/optical systems, and test systems, to FPGA and DSP systems. You will collaborate with cross-functional teams to develop solutions that meet performance requirements and launch world-class products. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or a related field, with 3+ years of experience in Hardware Engineering or a similar field. OR Master's degree in Computer Science, Electrical/Electronics Engineering, or a related field, with 2+ years of experience in Hardware Engineering or a related field. OR PhD in Computer Science, Electrical/Electronics Engineering, or a related field, with 1+ year of experience in Hardware Engineering or a related field. Experience: 7 to 10 years Key Responsibilities and Skills: Physical Design Expertise: Extensive experience with block-level physical design, including a strong understanding of the PnR cycle. Industry-Standard Tools: Proficiency in industry-standard physical design tools like ICC2 and Innovus. Signoff Tools: Solid understanding and hands-on experience with signoff tools such as PrimeTime, Redhawk, and Calibre. Technical Leadership: Ability to guide and mentor junior engineers, helping them resolve technical challenges effectively. Tools & Scripting: Experience with tools like ICC/Innovus, PrimeTime (PT), StarRC, Redhawk, and Calibre DRC/LVS. Proficient in scripting languages such as TCL and Perl.

Senior Custom Standard Cell Design Engineer Company Arm Location India Job Overview The Solutions Engineering Physical IP team at Arm is home to some of the industry s top experts in deep submicron circuit design. This role offers an exciting opportunity to work with the custom standard cell design engineering team, contributing to cutting-edge technologies. Your work will have a long-lasting impact, as these designs will power Arm s Solutions Engineering products across infrastructure, client, automotive, and IoT market segments. Responsibilities Develop Arm custom standard cells in leading-edge sub-3nm process technology nodes. Collaborate closely with physical design engineers to co-optimize circuit and layout for improved Performance, Power, and Area (PPA) in Arm cores integrated into world-class SoCs. Work with mask design teams to provide optimally tuned layouts. Characterize and model all standard library views. Validate standard cells using comprehensive QA flows across various EDA tools. Required Skills and Experience Bachelor s degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Master s degree in Electrical Engineering with 6+ years of relevant circuit design experience. Proven experience identifying, designing, and verifying cells to optimize core and SoC level PPA. Deep understanding of MOSFET electrical characteristics, transistor-level device physics, and PPA trade-offs, especially at 3nm and below technology nodes. Expertise in designing static circuits, including state-retaining elements such as latches and flip-flops. Hands-on experience with standard cell characterization, modeling, and QA processes. Experience with standard cell characterization tools and SPICE circuit simulators. Proficiency in scripting languages such as Perl or Python. Strong interpersonal skills, with a willingness to mentor and support team members. Demonstrated problem-solving ability, persistence, and creativity in tackling difficult technical challenges. Positive team-oriented attitude, showing respect for all team members. Motivation to continuously develop new skills and take on various responsibilities. Ability to analyze complex data sets and present conclusions effectively. Nice-to-Have Skills and Experience Experience leading engineering teams, including project management and risk communication. Exposure to physical design implementation flows and sign-off processes. What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace, Arm empowers every team member to grow, succeed, and make a meaningful contribution to the company's global success. #LI-KR2 Qualification : Bachelors degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Masters degree in Electrical Engineering with 6+ years of relevant circuit design experience.

Job Description: As a Staff Engineer in Arm's Solutions Engineering group, we like to think we are not just crafting sophisticated SoCs, but we are defining future chip design techniques. Not only do we improve the power, performance, and system integration of our products, but we also craft the design flows, influence Electronic Design Automation (EDA) tools, and build the knowledge base that makes custom SoC and CPU chip design possible. At Arm, our work goes beyond multiple divisions where we drive improved implementation for Arm and our partners. A key component of this is around the development of comprehensive implementation and analysis methodologies. Responsibilities: Synthesis, Physical design, and implementation of CPU cores, system interconnect, and other Arm IP. Analyze design timing, area, and power to help improve the quality of Arm IP. Develop and deploy new methodologies to improve implementation efficiency and results. Support and develop detailed implementation analysis and data-mining methodologies. Work with implementation and physical IP RTL design teams to drive analysis and optimization of our IP. Converting R&D concepts into real implementation solutions. Enable our partners to achieve the best possible quality of results. Required Skills and Experience: Bachelor s or Master s degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields. 8+ years of proven experience in ASIC Implementation, Physical design, STA and Timing closure, Structured clock tree, PDN analysis, DFM, and Physical verification. Possess a high level of dedication, initiative, and problem-solving skills. Experience in crafting and adopting new silicon implementation techniques and methodologies, and promoting their use with international teams. Previous experience in and knowledge of the entire IC design flow, from RTL through to GDS2. Experience working closely in top and block-level Synthesis, Floorplanning, Place and Route, CTS, logical and physical optimization, timing closure, and power analysis flows. Proven programming and scripting skills (e.g., Tcl, Perl, and R). Nice To Have Skills and Experience: Knowledge around Arm-based SoCs! Experience with a wide range of programming, scripting & data presentation languages (e.g., Tcl, sh, csh, make, R, C, C++, Java, JS, HTML, Perl, Python, and Ruby). Experience with low-power design techniques (power gating, voltage/frequency scaling). Experience with Verilog RTL design. Experience with ATPG tools and/or production testing. In Return: Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate on the basis of any characteristic. #LI-KR2 Qualification : Bachelors or Masters degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields.

Job Description Join Intel s world-class Graphics Physical Design Team, working on high-performance GPUs/GFX targeting high-end graphics, gaming, artificial intelligence, and media processing. This is an exciting opportunity to collaborate with a talented team early in the product lifecycle, driving innovation in RTL-to-GDSII implementation for multi-million gate designs on advanced process nodes. Key Responsibilities: RTL-to-GDSII implementation, including logic synthesis, physical synthesis, and routing. Clock tree synthesis, performance verification (static timing), noise and power verification. Conduct ERC (Electrical Rule Check), reliability verification, and layout verification. Work closely with design automation, methodology, and product integration teams to enhance execution efficiency and quality. Contribute to process improvements and methodology advancements. Qualifications & Requirements: Educational Qualifications: Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design. Preferred Skills: Strong fundamentals in Digital VLSI design and RTL-to-GDSII ASIC Design flow. Excellent problem-solving skills and a strong ability to learn new concepts and methodologies quickly. Basic knowledge of UNIX/Linux environments and scripting languages such as Perl, Python, and TCL (a plus). About the Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-one systems. Working alongside industry partners, CCG delivers cutting-edge computing experiences that empower users to focus, create, and connect. As Intel s largest business unit, CCG continues to innovate aggressively, investing in leadership products, next-generation technologies, and scalable IP solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, providing fair consideration to all applicants regardless of race, color, religion, gender, sexual orientation, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a best-in-class compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career advancement. Qualification : Final-year M.Tech students specializing in Electrical, Electronics, or Microelectronics Engineering, with exposure to Semiconductors and VLSI design.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!

Job Description The Client Development Group (CDG) is looking for Physicial Design Engineers with following Responsibilities - Creates bottoms up elements of chip design including but not limited to Device cell and block level layouts, Block level floor plans, abstract view generation, RC extraction and schematic layout verification. Debug using phases of physical design development including parasitic extraction ,clock generation, custom polygon editing, auto place and route algorithms, floor planning, full chip assembly, RV DFM Density and verification. Troubleshoots design issues and applies proactive intervention. May schedule staffing execution and verification of complex chips development and execution of project methodologies and/or flow developments. Qualifications You should possess a BE or BTech or equivalent technical degree in Electronics Electrical engineering with knowledge in Layout Designing. Experience, Skills, Additional qualifications include Proficiency in multiple levels of layout design which includes data path register files and standard cell designs. Proficiency in floor planning activities which include FUBunit level assembly routing and integration of custom blocks into the FC floorplan. Ability to comprehend issues of RC delay electromigration, selfheating and cross capacitance. Ability to recognize failure prone layout structures and proactively contact engineers for guidance and produce electrically robust layout. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Other Locations IN, Hyderabad Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel Qualification : You should possess a BE or BTech or equivalent technical degree in Electronics Electrical engineering with knowledge in Layout Designing.

Analyst, Market Data Services (NE) Location: Bengaluru, Karnataka Team: Data Management Company: BlackRock Role Overview As a Data Management Analyst at BlackRock, you will focus on processing and assuring the quality of alternative assets data. Your work will support clients by maintaining accurate, comprehensive data on firms, funds, and transactions in the alternative asset industry. You ll collaborate globally to research, curate, and enhance data offerings that power investment decisions. Key Responsibilities Acquire, update, and maintain alternative asset data using internal tools. Conduct in-depth web research on firms, funds, and transaction activities. Update databases with key financial data, statistics, and analysis. Work on data quality projects, process improvements, and workflow optimization. Develop subject matter expertise to enhance client data products. Collaborate with stakeholders across business units to evolve data offerings. Experience & Skills Required Bachelor s degree in Finance, Accounting, Business, or Engineering. At least 6 months relevant experience, with a keen interest in finance and markets. Fluent in English with excellent written and verbal communication skills. Proficient in Microsoft Excel, SharePoint, Office 365. Familiarity with automation and data tools like Power Automate, VBA, Python, or SQL. Knowledge of data visualization tools such as PowerBI, Qlik, or Tableau. Some exposure to project and stakeholder management. Work Model & Benefits Hybrid work model: 4 days in office, 1 day remote (with some flexibility). Strong retirement plans, tuition reimbursement, healthcare, and family support. Flexible Time Off (FTO) to support work-life balance. About BlackRock BlackRock s mission is to help people achieve financial well-being globally. By investing in its employees, BlackRock fosters a supportive and innovative culture to enable growth, inclusion, and impact. Qualification : Bachelors degree in Finance, Accounting, Business, or Engineering

Private Markets Data Extraction, Aladdin Data Director Location: Bengaluru, Karnataka Team: Data Science Company: BlackRock About the Role We are seeking a tech-savvy leader to head our Private Markets Data Extraction team within the Aladdin Data group. This role involves driving the strategic direction of data initiatives by leveraging cutting-edge technologies like Large Language Models, AI Orchestration Frameworks (e.g., LangChain), Spring, GIT/ADO, Solr, Cassandra, and more. You will work closely with Data, Product, and Technology teams to ensure our data products exceed client expectations in quality and scope, while gaining deep exposure to finance domains such as risk management, valuations, and operations. What You ll Do Develop strategies for automated extraction of data from semi-structured and unstructured sources (e.g., regulatory documents) to build scalable, reusable pipelines. Architect and build extensible data ingestion and extraction platforms accessible to internal teams and customers. Own technical architecture, design principles, and application governance. Manage diverse, global teams of engineers, data scientists, and other tech professionals. Collaborate with cross-office and international teams. Provide expert technical guidance on software design and implementation. Mentor and support career growth for junior team members. What You Need B.S. / M.S. in Computer Science, Engineering, or related field. 12+ years of professional experience with proven leadership. Strong ability to communicate technical strategies clearly. Hands-on experience with Java and Python, object-oriented programming. Experience designing/building APIs and microservices. Expertise with open-source technologies: Spring/SpringBoot, Apache Solr, Protocol Buffers, LangChain, Docker. Experience with relational and NoSQL databases (e.g., Apache Cassandra). Agile team experience with strong problem-solving and rapid learning capabilities. Excellent interpersonal, communication, and presentation skills. Experience mentoring junior engineers. Good to Have Cloud-native development experience (Kubernetes, Docker) and Microsoft Azure. Familiarity with Apache Kafka or other pub-sub frameworks. Experience with Large Language Models (OpenAI LLMs), AI app frameworks, vector databases, NLP. Finance and financial services domain expertise. Benefits & Work Model Comprehensive benefits including retirement plans, tuition reimbursement, healthcare, family support, and Flexible Time Off (FTO). Hybrid work: typically 4 days in-office, 1 day remote with some flexibility depending on business needs. Collaborative culture fostering learning and innovation. About BlackRock BlackRock s mission is to help more people experience financial well-being globally. We invest in our employees to create a welcoming, valued, and supportive environment that encourages growth and impact. Qualification : B.S. / M.S. in Computer Science, Engineering, or related field.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

Business Analyst Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We're not just a fintech company we're reimagining global finance. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in their new country based on their home country credit profile. With products like checking accounts, credit cards, loans, remittances, and insurance, Zolve is eliminating borders in banking helping people be financially free and pursue their ambitions wherever they are. As we expand into new geographies and product lines, we re looking for a Business Analyst to help us drive data-backed decisions and create meaningful impact across our business. About the Role As a Business Analyst at Zolve, you ll act as a critical link between business stakeholders and technical teams. Your role will involve analyzing complex data, generating insights, and presenting actionable recommendations that support decision-making across the organization. You ll collaborate cross-functionally with product, growth, engineering, and leadership teams to shape the future of our cross-border financial solutions. Key Responsibilities Data Analysis & Insights Query, manipulate, and analyze large datasets using SQL and Python Identify trends, patterns, and anomalies to uncover business opportunities and risks Deliver actionable insights that influence product, growth, and strategy decisions Data Visualization & Storytelling Translate data into compelling narratives through dashboards, reports, and visualizations Build and maintain dashboards using tools like Tableau, Power BI, Metabase, etc. Stakeholder Collaboration Work closely with business, product, and engineering teams to gather requirements and define analytical solutions Communicate findings clearly and effectively to both technical and non-technical audiences Data Quality & Governance Ensure the accuracy, integrity, and consistency of data through validation and quality checks Partner with data engineering to improve data infrastructure and reporting capabilities Integration & Automation Build and maintain scripts to integrate data between internal systems and third-party platforms Support automation of recurring reporting and analytics processes Qualifications Education & Experience Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc.) 3+ years of experience as a Business Analyst, Data Analyst, or in a similar analytical role Technical Skills Strong proficiency in SQL and Python for data extraction and analysis Advanced Excel skills including pivot tables, lookups, and complex formulas Experience with data visualization tools such as Tableau, Power BI, or Metabase Preferred Qualifications Experience in data modeling and database design Exposure to statistical methods and predictive analytics Domain experience in fintech, e-commerce, or healthcare is a plus What You'll Love at Zolve Mission-driven work that makes a global impact Fast-paced, startup environment with real ownership and responsibility Collaborate with smart, ambitious, and kind teammates Opportunity to grow with a rapidly expanding fintech company Qualification : Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc)

Sales Development Representative (SDR) Location: Bengaluru Type: Full-Time About Intugine That journey from sourcing to delivery involves a complex global supply chain. Yet many brands struggle with limited visibility, delays, and inefficiencies. Intugine is changing that. We re a leading supply chain visibility platform helping global enterprises like GE Healthcare, Flipkart, Titan, Diageo, and Ultratech Cement gain real-time, multimodal insights across land, air, sea, and rail logistics. Backed by integrations with systems like FASTag, Port Community System, and FOIS, and in partnership with the National Logistics Policy, we provide unmatched visibility and intelligence to optimize delivery times, reduce logistics costs, and drive operational excellence. About the Role: Sales Development Representative We re expanding our Business Development team and looking for Sales Development Representatives (SDRs) who can spark conversations, build relationships, and open doors to new business opportunities. As an SDR, you'll be the first point of contact in outbound prospecting playing a vital role in fueling our sales pipeline. If you're a sharp communicator with a knack for research, hustle, and hustle (yes, we said it twice), this is your launchpad into high-impact enterprise SaaS sales. What You'll Be Doing Research & Prospecting: Identify key accounts and decision-makers within target industries. Outreach: Initiate contact through email, LinkedIn, and cold calls to create interest and qualify leads. Database Management: Maintain and expand a clean, accurate CRM database of prospects. Lead Qualification: Understand prospect needs and align them with Intugine s solutions before handing off to Account Executives. Meeting Booking: Drive pipeline growth by scheduling sales-qualified meetings. Hit Your Targets: Meet or exceed KPIs for outreach, meetings set, and qualified opportunities. Tool Optimization: Experiment with sales enablement tools and tactics to improve outreach effectiveness. Who We re Looking For 1+ years of experience in lead generation or customer-facing roles Experience in SaaS, IoT, or Supply Chain/Logistics is a strong advantage Excellent written and verbal communication skills Quick learner, self-starter, and result-driven mindset Fluent in English and Hindi Familiarity with sales tools (HubSpot or similar CRM, LinkedIn, contact extraction tools) Comfortable making high-volume outbound calls Ability to connect with both decision-makers and end users What Makes You a Great Fit You're energized by challenges and love the thrill of opening new conversations. You're organized, persistent, and can handle rejection with grace. You take initiative, constantly look to improve your game, and celebrate every win big or small. At Intugine, we're building a workplace that s ambitious, supportive, and a little bit quirky (in a good way). You ll be surrounded by driven teammates who enjoy solving real-world problems and having fun while doing it. Perks and Benefits: Employee Stock Options Own a part of what you build Comprehensive Health Cover Because health comes first Personal Development Budget Learn, grow, and thrive Flexible Working Hours Work when you're most productive Generous Parental Leave Family matters Equal Pay Policy Transparent and fair, always Education Assistance We support your learning journey Autonomy & Ownership Take charge of your role Life Skills Training From tax planning to wellness Company Outings & Paid Time Off Unplug and recharge

Analytics Lead/Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: As a BI Architect, you will work on both offshore and onsite client projects. Your responsibilities will involve working with Oracle BI Applications, OAC (Oracle Analytics Cloud), and ODI (Oracle Data Integrator) implementations. You will engage with clients to understand their requirements, lead technical designs, and oversee system and integration testing using Oracle methodologies. You will also contribute to PreSales, the creation of Go-to-Market (GTM) strategies, and take the lead in developing IP/solution accelerators. Additionally, you will be responsible for owning the technical delivery of large, complex projects. Responsibilities: Lead Oracle BI Applications, OAC, and ODI implementations. Interact with clients to understand and gather business requirements. Oversee technical design, development, and system/integration testing. Contribute to PreSales activities and the creation of Go-to-Market (GTM) strategies. Lead the development of IP/solution accelerators. Own the technical delivery of large and complex projects. Required Skills: BI (Business Intelligence) expertise. Experience with Oracle Data Integrator (ODI). This position offers the opportunity to work on cutting-edge analytics technologies and deliver impactful solutions in a collaborative and dynamic environment. If you have significant experience in Oracle BI and ODI implementations, and enjoy leading large, complex projects, we would love to hear from you.

Job Title: Computer Vision Location: Bengaluru, India Type: Full-time Roles and Responsibilities: Constantly research, prototype and build solutions to computer vision problems. Actively find new solutions that we can provide to industry-specific problems. Build prototypes to display new analysis and insight. Build new tools to streamline the overall process flow as requirements develop. Add new features to existing tools. Requirements: Strong command over all computer vision related use-cases, algorithms and approaches. Familiarity with Deep Learning frameworks such as TensorFlow (and keras), PyTorch, and strong experience in at least one of those. [Using Python programming language is a must.]. Familiar with different machine learning algorithms and when to use them. Strong math fundamentals in areas including but not limited to linear algebra and computational geometry. Ability to write clean, concise and well documented code. Familiar with version control, writing tests and writing documentation. Open to learning new technologies and languages. Comfortable working in a low monitoring/guidance environment. Strong sense of initiative, ownership, urgency and drive. Experience in training and applying CNNs on various datasets. Excellent organisational and leadership skills. Basically we re looking for people who are passionate about solving problems, and doing things the best way. If this is like you, we look forward to hearing from you. Years of Experience: 2- 8 years

Job Title: Application Developer - ETL and Data Management Introduction: In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers leverage locally-based skills to help clients drive innovation and the adoption of new technologies. A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the world. You will work with leaders across industries to improve the hybrid cloud and AI journeys for some of the most innovative and valuable companies worldwide. Your ability to make a meaningful impact for clients is enabled by our strategic partner ecosystem and robust technology platforms, including Software and Red Hat. Curiosity and a constant quest for knowledge are key to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, explore new ideas, and come up with creative solutions that result in groundbreaking impact for a wide network of clients. Our culture is built on evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experience. Your Role and Responsibilities: ETL Workflow Development: Develop and implement ETL workflows by creating ETL jobs, and data models in datamarts using technologies such as Snowflake, DBT, Unix, and SQL. Batch Processing Redesign: Redesign Control M Batch processing for ETL job builds to run efficiently in a production environment. System Evaluation and Improvement: Study the existing system to evaluate its effectiveness and design new systems to improve workflow efficiency. Business Program Analysis & Support: Perform requirements identification, business program analysis, testing, and system enhancements while providing production support. Agile Environment: Work effectively in an Agile environment and gain familiarity with tools such as JIRA and SharePoint. Client Interaction: Good written and verbal communication skills are essential as you will interact directly with client counterparts to understand requirements and provide solutions. Required Technical and Professional Expertise: Experience: A minimum of 3 years of experience in developing ETL applications, implementing workflows, and creating data models using Snowflake, DBT, Unix, and SQL technologies. Agile Environment: Strong understanding of working in an Agile environment and proficiency in tools like JIRA and SharePoint. Problem-Solving Skills: Ability to manage change and proven time management skills. Strong interpersonal skills to contribute effectively to team efforts. Continuous Learning: Stay up-to-date with technical knowledge by attending educational workshops and reviewing relevant publications. Preferred Technical and Professional Expertise: ETL Development: Experience in developing triggers, functions, and stored procedures to support ETL workflows. Impact Analysis: Assist with impact analysis of changing upstream processes on the Data Warehouse and reporting systems. ETL & Reporting Support: Participate in the design, testing, support, and debugging of new and existing ETL and reporting processes. Data Profiling & Troubleshooting: Perform data profiling and analysis using a variety of tools, troubleshoot and support production processes, and maintain documentation. Innovation: Be part of a team that drives global change and leverages cutting-edge technologies to solve complex problems. Growth: Gain access to continuous learning and career development opportunities to further your expertise in data management and cloud technologies. Collaboration: Work with a diverse team in a collaborative environment that values new ideas and creative solutions. Global Impact: Your work will contribute to improving business operations and technological advancements for clients around the world. If you're passionate about driving innovative solutions, working with a variety of clients, and continuously evolving your skills, IBM Consulting is the perfect place for you to advance your career.

Job Title: Data Engineer Location: Bengaluru (Hybrid) About Couchbase: As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission! Position Overview: We are seeking a highly skilled Data Engineer with a strong background in data warehousing, advanced analytics, and AI integration. The ideal candidate will have 5+ years of experience designing and implementing data pipelines, building robust analytics platforms, and working with modern data technologies like Snowflake, Google Cloud, Databricks, Looker, PowerBI, and Tableau. As part of our Delorean team, you will play a pivotal role in driving innovation and ensuring our data infrastructure supports strategic decision-making. Key Responsibilities: Data Infrastructure Development: Design, develop, and maintain scalable data pipelines and ETL processes to support data ingestion, transformation, and storage across multiple platforms. Experience with Cloud Data Platforms: Expertise in implementing and optimizing solutions using industry-leading tools such as Snowflake, Databricks, and Google Cloud Platform. Demonstrated ability to ensure high performance, scalability, and cost-effectiveness in data infrastructure and workflows. Analytics & Visualization: Build and maintain interactive dashboards and reports using Looker, PowerBI, and Tableau to provide actionable insights to business stakeholders. AI & Advanced Analytics: Collaborate with Data Science teams to integrate AI models and machine learning workflows into data pipelines for predictive analytics and automation. Data Governance: Ensure data quality, security, and compliance with industry best practices and regulatory requirements. Collaboration: Partner with cross-functional teams, including Product, Engineering, and Business Operations, to understand data requirements and deliver tailored solutions. Continuous Improvement: Identify opportunities to improve data workflows, adopt new technologies, and drive operational efficiency. Qualifications: Education: Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. Experience: 5+ years of hands-on experience in data engineering, data warehousing, or related fields. Technical Skills: Expertise in Snowflake, Databricks, and Google Cloud Platform (Mandatory experience in at least one tool). Proficiency in ETL/ELT processes and data pipeline tools (e.g., Apache Airflow, dbt). Experience with data visualization tools like Looker, Power BI, and Tableau. Strong SQL skills and familiarity with Python or Scala for data processing. Knowledge of AI/ML concepts and frameworks for integrating predictive models. Soft Skills: Excellent problem-solving skills with a proactive mindset. Strong communication and collaboration skills to work effectively with technical and non-technical teams. Ability to manage multiple priorities in a fast-paced environment. Modern customer experiences need a flexible cloud database platform that can power applications spanning from cloud to edge and everything in between. Couchbase s mission is to simplify how developers and architects develop, deploy, and consume modern applications. With Capella, our flexible, affordable cloud platform, we empower organizations to quickly build and deliver premium customer experiences with unmatched price-performance. More than 30% of the Fortune 100 trust Couchbase to power their modern applications. Benefits at Couchbase: Generous Time Off Program: Flexibility to care for yourself and your family. Wellness Benefits: Comprehensive medical plans, dental, vision, life insurance, and employee assistance programs. Financial Planning: RSU equity program, ESPP, retirement planning, and business travel insurance. Career Growth: A Be valued, Create value approach to your career development. Fun Perks: Ergonomic office setup, food & snacks for in-office employees, and more! Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: Audience Platform Lead Insights & Analysis Location: Bangalore Employment Type: Full-Time About the Role We re seeking a strategic and technically skilled Audience Platform Lead to join our Insights & Analysis team. This role will focus on leveraging platforms like Adobe Analytics, Google Analytics, WebTrends, and various Customer Data Platforms (CDPs) to enable data-driven marketing and customer insights. As a subject matter expert in tag management, audience creation, and marketing technology integration, you will play a key role in shaping and implementing audience strategies across platforms. Key Responsibilities Lead the design, development, and implementation of solutions on Customer Data Platforms (CDPs) such as Adobe Experience Platform (AEP), Tealium, Segment, Lytics, ActionIQ, or C360. Drive data ingestion workflows via batch and real-time modes using ETL tools, APIs, and JavaScript. Build data models and define audience segments and customer journeys based on business requirements and architecture. Collaborate with internal teams and stakeholders to translate BRDs into actionable CDP use cases for marketing activation. Enable data extraction and outbound flows to reporting tools, other Adobe products, and third-party systems. Define and apply business rules and data transformations aligned with privacy and compliance standards. Guide and mentor other team members on platform capabilities, integration best practices, and scalable solutions. Ensure alignment with data privacy laws such as GDPR, CCPA, and others. Required Qualifications Proven experience in leading CDP-related development projects. Strong scripting experience with Python, Java, or Node.js. Hands-on experience with REST APIs, Open APIs, and tools like cURL. Proficiency in data analysis, data modeling, and data mapping. Experience working with unstructured data using formats such as JSON and Parquet. Preferred Qualifications: Familiarity with data privacy regulations including GDPR and CCPA. Experience in client-facing roles or stakeholder engagement. Working knowledge of reporting technologies and visualization tools. Experience with Big Data ETLs and cloud-based data platforms. Background in customer journey orchestration, audience activation, and segment development. Exposure to MLOps, data governance, or MarTech strategy is a plus. Work at the intersection of data, marketing, and technology. Lead cutting-edge customer data platform initiatives. Be part of a collaborative, innovative, and growth-driven environment. Make a measurable impact on customer engagement and digital transformation.

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

Software Developer C++ Location: Bangalore, Karnataka, India Employment Type: Full-time, Permanent Experience Level: Experienced Professional (6-8 years) Role Overview We are seeking a proactive and skilled Full Stack Developer with deep expertise in C++ to contribute to the development of MR image reconstruction modules integrated with AI. The ideal candidate will actively research and innovate MR reconstruction techniques, improve module performance, and collaborate closely with cross-functional teams to deliver high-quality medical imaging solutions. Key Responsibilities Develop, improve, test, and maintain MR image reconstruction modules. Conduct research to enhance acquisition speed, data extraction, noise/artifact robustness, and overall reconstruction quality. Develop AI inferencing code, prepare data, and support model training activities. Manage code repositories and version control systems such as Git or Azure Repos. Participate actively in design discussions, code reviews, and agile development processes. Troubleshoot and optimize module performance, security, and scalability. Collaborate with product owners and stakeholders to manage backlogs and ensure continuous feature delivery. Required Skills & Qualifications Education: BE/B.Tech/MCA/ME/M.Tech from a recognized institution. Core Expertise: Strong practical experience in C++ development, object-oriented programming, and design patterns. Additional Skills: Python programming experience (advantageous). Knowledge of medical imaging modalities, particularly MRI (preferred). Strong foundation in physics, mathematics, signal processing, linear algebra, probability, and random processes. Understanding of inverse problems, AI, imaging chains, MR reconstruction, and pulse sequences is a plus. Soft Skills: Strong analytical and problem-solving skills, clear communication, and a passion for learning and creative thinking. Tools: Experience with Azure Repos or Git for version control. Experience 6 to 8 years of core development experience with C++. Collaborative work environment fostering professional growth. Challenging projects enhancing technical expertise. Competitive compensation and benefits.