Advanced Sensing Technologies Jobs in Bengaluru

Quality Manager Location: Bangalore Department: Operations About the Role IRP Systems, at the forefront of **high-performance e-powertrain systems**, is seeking an experienced **Quality Manager** to oversee all quality assurance and control activities in its automotive manufacturing environment. You will be instrumental in ensuring products meet **customer and regulatory standards** while continuously driving improvements in processes, reliability, and customer satisfaction. Key Responsibilities Quality Management System (QMS): Develop, implement, and maintain the QMS according to **IATF 16949**, **ISO 9001**, and customer-specific requirements. Quality Team Leadership: Lead and manage a team of quality engineers, inspectors, and technicians, ensuring adherence to quality standards and consistency. APQP & Core Tools: Manage **Advanced Product Quality Planning (APQP)**, **PPAP**, and **FMEA** activities to integrate quality into every stage of the product lifecycle. Quality Metrics Monitoring: Track and analyze key quality metrics (e.g., **scrap rate, PPM, customer complaints, warranty data**). Drive corrective actions for continuous improvement. Audits: Lead internal and external audits (**IATF, ISO, customer, and supplier audits**), ensuring full compliance with all quality standards. Customer Interface: Serve as the primary point of contact for customers regarding **quality issues** and performance reviews. Supplier Quality Management: Oversee **supplier qualification, audits, and corrective actions** to ensure quality consistency throughout the supply chain. Root Cause Analysis & CAPA: Facilitate **root cause analysis** and lead the implementation of **Corrective and Preventive Actions (CAPA)** to resolve issues and prevent recurrence. Continuous Improvement: Promote and lead a culture of continuous improvement using methodologies like **Lean, Six Sigma**, and problem-solving tools (**8D, 5 Whys, PDCA**). Compliance: Ensure compliance with all relevant safety, environmental, and regulatory standards applicable to the automotive industry. Skills and Qualifications Experience & Education Education: Bachelor s degree in Electronics Engineering or related fields. Experience: Minimum of **8 years in a Quality leadership role** within the automotive industry, and at least **10 years of experience in electronics and mechanical manufacturing**. Certifications & Standards Expertise Certifications: **Six Sigma Green/Black Belt certification is required.** Standards Expertise: Extensive knowledge of automotive quality standards (especially **IATF 16949**) and familiarity with **ISO 26262 (Functional Safety)**. Technical & Analytical Skills Quality Tools Proficiency: Expertise in using core quality tools such as **8D, APQP, FMEA, SPC, and MSA**. Manufacturing Knowledge: Familiarity with advanced manufacturing processes and technologies relevant to the automotive industry. Analytical Skills: Strong problem-solving and analytical skills to effectively address and resolve customer quality issues. Impactful Work: Contribute to the development of **high-performance e-powertrain systems**. Career Growth: Be part of a dynamic and rapidly growing company with opportunities for professional development. Competitive Benefits: Competitive compensation, flexible working options, and health coverage. Qualification : Bachelors degree in Electronics Engineering or related fields

Application Engineer Grinding Machines Location: Bangalore Employment Type: Full Time Experience Required: 5+ Years About Us Phillips Machine Tools is India s leading machine tool solution provider, offering cutting-edge technologies, automation systems, and engineering services to a wide range of industries. As we continue to grow, we are looking for a highly skilled Application Engineer Grinding Machines to join our expanding Applications Team. Role Overview In this role, you will leverage your expertise in grinding technologies to deliver advanced technical solutions, optimize manufacturing processes, and provide training and post-installation support to customers. You will play a critical role in ensuring high-precision machining and customer satisfaction. Key Responsibilities Apply hands-on expertise in Surface, Cylindrical, Centerless, and Tool & Cutter Grinding machines. Program, set up, and optimize CNC grinding machines for precision, productivity, and repeatability. Analyze customer component drawings to recommend appropriate machines, tools, and grinding processes. Conduct component prove-outs and validation on recommended machines. Deliver technical training for customers and internal teams on grinding operations, programming, and maintenance. Diagnose and resolve application and accuracy-related issues across grinding platforms. Collaborate with sales and service teams to support both pre-sales assessments and post-sales execution. Travel extensively for customer site visits, installations, and technical support. Candidate Profile Diploma/Degree in Mechanical or Production Engineering (or equivalent). Minimum 5 years of hands-on experience with grinding machine operations and applications. Strong working knowledge of CNC programming (Siemens, Fanuc, etc.). Proficient in reading and interpreting complex engineering drawings and specifications. Excellent communication, analytical, and troubleshooting skills. Open to frequent travel across India for on-site customer support. Collaborate with top global machine tool brands. Learn from and work alongside industry-leading experts. Thrive in a dynamic, high-growth environment with continuous learning. Enjoy competitive compensation, travel perks, and growth opportunities. Qualification : Diploma/Degree in Mechanical or Production Engineering (or equivalent)

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

SEO Specialist Location: Bangalore Experience: 3-4 Years Company: KredX About KredX Since 2015, KredX has been revolutionizing working capital solutions into a comprehensive financial ecosystem. We are India s leading integrated supply chain finance provider, holding both RBI s TReDS license and IFSCA s ITFS license making us one of the few double-licensed entities in the country. Our core platforms include: DTX (Domestic Trade Exchange): RBI-licensed platform enabling MSMEs to access early payments through invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform offering efficient cross-border trade finance. CMS (Cash Management Solutions): AI-powered automation streamlining enterprise financial operations globally. DTX (dtxindia.in) is powered by KredX and supports MSMEs by offering quick, safe, and cost-effective working capital solutions, leveraging advanced finance automation technologies. Role Overview We re looking for an SEO Specialist to enhance our organic search presence and improve overall search engine rankings. The role blends strategic planning with tactical execution, focusing on content alignment, technical SEO health, and performance optimization. Key Responsibilities Develop and execute effective SEO strategies to increase organic traffic and improve search rankings. Conduct comprehensive keyword research to guide and optimize content strategies. Optimize on-page SEO elements such as metadata, headers, internal linking, and site architecture. Identify and resolve technical SEO issues by collaborating closely with product and tech teams. Monitor, analyze, and report on SEO performance metrics and trends, providing actionable insights. Support organic growth efforts across social media by optimizing posts and tracking engagement metrics. Keep abreast of search engine algorithm updates and evolving SEO best practices. Requirements 2 to 4 years of hands-on SEO experience. Strong knowledge of on-page, off-page, and technical SEO principles. Proficiency in SEO tools such as Google Search Console, SEMrush, Ahrefs, etc. Experience in content optimization, link-building strategies, and website structural improvements. Ability to collaborate effectively across content, product, and technical teams. Basic understanding of HTML and website coding is a plus.

Backend Engineer Location: Bengaluru (Hoodi, Rathi Legacy, Rohan Tech Park) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader leveraging AI and data to solve complex industrial challenges in Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We have been recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, driving the future of industrial digital transformation. Our Values Impact: Deliver meaningful, measurable results. Ownership: Take responsibility beyond your comfort zone and foster inclusivity. Relentless: Innovate with determination and resilience. Role & Responsibilities Design and develop scalable, high-performance backend services and APIs using Java, Kotlin, or Python for Cognite Data Fusion. Work with advanced database technologies like PostgreSQL and Elasticsearch to enhance our industrial knowledge graph. Collaborate with application teams to create user-centric solutions addressing complex industrial problems. Build resilient, scalable infrastructure using modern open-source tools and Cognite s data platform. Influence critical product and technical decisions by partnering closely with stakeholders and domain experts. 5+ years of backend engineering experience, primarily using Java, Kotlin, or Python in SaaS/product companies at scale. Flexibility with tech stacks: Java/Kotlin experience is a plus for Python developers and vice versa. Experience with Spark is highly valued. Strong background in modern databases (PostgreSQL, Elasticsearch), graph processing, distributed systems, and performance tuning. Commitment to clean, maintainable code and best practices through continuous code review and improvement. DevOps experience: CI/CD, Infrastructure as Code, Kubernetes multi-cloud deployments (AWS, GCP, Azure). Skilled in observability and diagnostics with tools like Prometheus, Grafana, and expertise in troubleshooting complex system issues. Comfortable contributing to and learning from the open-source community. Excellent communication skills to collaborate effectively across diverse, global teams. Be part of a diverse global team representing 70+ nationalities, committed to DEI. Work in a modern, vibrant office environment at Rathi Legacy, Hoodi, Bengaluru with hybrid flexibility. Flat hierarchy with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious, high-impact projects across multiple industries. Engage in Cognite s HUB community for direct interaction with colleagues and partners. Make Your Impact Join Cognite and help revolutionize industrial digital transformation with strong DataOps, enabling better decisions and sustainability for global clients. We encourage applications from all backgrounds and identities. If you re passionate about shaping the future of industrial SaaS, apply today!

Systems Development Engineer Google Cloud Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. 2+ years of experience with systems automation. 2+ years of experience in technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred Qualifications 3+ years of experience in systems design and implementation. About the Role As a Systems Development Engineer (SDE) at Google Cloud, you will be part of a team responsible for managing and scaling critical services and infrastructure. This role emphasizes automation, reliability, and observability, using engineering practices to eliminate manual toil and improve system efficiency. Google SDEs design and build the tools and systems that power the infrastructure for Google s services, transforming telemetry into actionable insights and proactively solving operational challenges. You ll have the opportunity to work on impactful, large-scale projects in an environment that fosters learning, collaboration, and growth. Key Responsibilities Participate in on-call rotations and incident response, managing services within your domain. Troubleshoot infrastructure and system issues, evaluate diagnostic data, and recommend solutions. Resolve tickets and bugs within defined service-level objectives (SLOs). Collaborate with primary responders to maintain high availability and reliability of systems. Contribute to the design and implementation of systems and services in related domains. Work directly with customers to gather requirements, define distributed system needs, and propose solutions. Develop automation tools and systems to improve efficiency and reduce operational overhead. About Google Cloud Google Cloud helps organizations transform their business with advanced technologies and enterprise-grade solutions. With a focus on sustainability, innovation, and scalability, Google Cloud serves customers in over 200 countries and territories, providing the tools and infrastructure necessary to solve the world s most complex business challenges. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Job Title: Consultant - UX Designer (Intern) Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Join Glance, where creativity meets cutting-edge AI technology! Glance is revolutionizing mobile user experiences by combining AI and user-centered UX design directly on the lock screen. As a UX Intern, you ll work with a dynamic team creating context-driven, interactive content that delights millions of users worldwide. Position Overview As a UX Intern at Glance, you ll gain hands-on experience in UX design fundamentals while exploring emerging AI technologies and prompt engineering. This internship is ideal for individuals passionate about designing seamless, intuitive user experiences and eager to build skills in AI-driven UX and prompt engineering. Key Responsibilities Assist in UX Design: Create wireframes, layouts, and visual design elements that enhance usability and engagement on Glance s lock screen platform. Collaborate on AI-Driven UX Projects: Partner with designers, engineers, and data scientists to integrate AI for personalized and intuitive user interactions. Learn Prompt Engineering: Develop expertise in crafting prompts that help AI understand and respond effectively to user behavior, improving the overall UX. What You ll Gain Hands-On UX Design Experience: Build a strong foundation in UX principles and user-centered design workflows. Exposure to Advanced AI Technologies: Learn how AI can be harnessed to create innovative, personalized user experiences. Prompt Engineering Skills: Acquire in-demand skills in prompt engineering within AI-powered platforms. Mentorship and Professional Growth: Work alongside experienced professionals in a collaborative, supportive environment focused on your development. Qualifications Currently pursuing a degree in Design, Human-Computer Interaction (HCI), Psychology, Computer Science, or a related field. Strong interest in UX design fundamentals, AI technology, and emerging digital trends. Familiarity with UX tools such as Figma, Sketch, or similar is a plus. Creative mindset with curiosity and willingness to experiment with new ideas. Contract Duration: 6 Months Kickstart your UX career with Glance and be part of a future-forward team shaping next-gen mobile experiences. Apply now to join us in Bangalore! Qualification : Currently pursuing a degree in Design, Human-Computer Interaction (HCI), Psychology, Computer Science, or a related field.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

DevOps Engineer | FinBox Location: India (Specific location not mentioned) Experience: 5+ Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, the buzzing hive of tech innovation and creativity! Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines. Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we ve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month. Why Should You be a FinBoxer: Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike. Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement. Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another. Who s a Great FinBoxer: At FinBox, we re on the lookout for exceptional folks who are all about innovation and impact. If you re excited to shake things up in the banking & financial services world, keep reading! Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table. Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy. Team Players: We believe in the power of we. If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you ll fit right in. About the Job As a DevOps Engineer at FinBox, you will also impart your strong understanding of cloud computing and infrastructure-as-a-service tools. You will be given ownership for taking new initiatives to implement industry best practices in process improvements, implementing automation and orchestration, and ensuring that software applications are delivered quickly, reliably, and at scale. How You'll Contribute Build and set up new development tools and infrastructure which can be helpful in scaling the product Strong understanding of CI/CD to implement and maintain automated build, test, and deployment pipelines to ensure continuous delivery of high-quality software Design, build and maintain an automated secure & resilient cloud infrastructure Collaborate with other developers to ensure that development follows established processes & practices Implement and maintain a practice of monitoring and logging to ensure the availability, performance and security of the application Enhance the development and delivery process by implementing best practices and tools in the industry Troubleshoot and resolve issues related to software development, deployment, and infrastructure by identifying the root cause Provide Day 2 technical support with products and the deployments and document the phases involved throughout the process Train and guide other members on the best DevOps practices and tools Who You Are An exceptional 5+ years of experience in handling CI/CD and implementing the best development practices In-depth knowledge of scripting languages, preferred are Go/Python/Bash In-depth working knowledge in Kubernetes,Terraform, Docker, Jenkins, etc Strong knowledge of system design & algorithms Hands-on experience on the cloud provider, AWS Strong knowledge of automating existing systems, repetitive tasks and deployments Carrying a knack for promoting high-quality coding practices with clean and reusable code Fair understanding of monitoring frameworks such as Grafana, Prometheus, Datadog, etc

Analyst I - Infrastructure Services Location: Bangalore Job Description: The Analyst I - Infrastructure Services will be responsible for providing technical support, assisting with infrastructure-related tasks, and contributing to the monitoring, troubleshooting, and documentation of infrastructure systems. This position requires a proactive individual who can work collaboratively with the team to address infrastructure challenges and continuously improve technical skills. Essential Job Functions: Provide technical support in infrastructure services, responding to issues, and assisting with various infrastructure tasks. Contribute to infrastructure projects and tasks under supervision. Participate in monitoring and basic troubleshooting of infrastructure systems to ensure optimal performance. Collaborate with team members to address infrastructure-related challenges and meet departmental goals. Assist in the development and maintenance of infrastructure documentation, including incident logs, records, and system configurations. Continue to develop and enhance technical skills and stay up-to-date with emerging industry technologies. Apply problem-solving abilities to resolve infrastructure-related issues efficiently. Follow best practices and standards in the delivery of infrastructure services. Basic Qualifications: Bachelor s degree in a relevant field (e.g., Computer Science, Information Technology) or equivalent combination of education and experience. Typically, 2+ years of relevant work experience in infrastructure technology or technical support. Proven experience in infrastructure technology analysis. Proficiency in data analysis and problem-solving techniques. A continuous learner, eager to stay informed about industry advancements and emerging technologies. Other Qualifications: An advanced degree in a relevant field is a plus. Relevant certifications such as CompTIA Security+, Cisco CCENT, or AWS Certified Solutions Architect are highly beneficial. This position offers opportunities for growth and development within a dynamic and supportive team environment. If you're ready to enhance your infrastructure services career in a forward-thinking company, we encourage you to apply! Qualification : Bachelors degree in a relevant field (e.g., Computer Science, Information Technology) or equivalent combination of education and experience.

Job Description: Underground Cable Designer Transmission & Distribution Description: Experience in Design of Underground Power line projects using different software or relevant such as Civil 3D, MicroStation, ArcGIS. Role and Responsibilities: Prepare designs and drawings to be carried out in accordance with relevant codes of practice, standards, regulatory authorities, and clients' requirements. Coordinate with lower-level drafting personnel. Support their mentorship and technical development. Delegate and oversee workload to lower-level drafting personnel assigned to projects. Perform documented quality reviews of drawing packages adhering to the terms of the quality management system. Provide specialist knowledge input and keep up to date with the latest developments in particular fields. Innovate and identify optimal methods to perform design tasks. Be willing to make the necessary travels to carry out project requirements. Coordinate with project engineering and project management teams to ensure timely and quality deliverables. Perform QA/QC reviews of pulling calculations, alignments, layers, design standards, and construction design packages. Promote the interests of the company, for example through personal contacts, representation in professional groups, contributions at meetings and the publication of material where opportunities arise. Qualifications: Diploma in Electrical/Civil with 3-4 years of experience OR ITI in Electrical/Civil with 6-8 years of experience. Underground experience a plus. Transmission or distribution experience preferred. Proven verbal and written communication and IT (office packages) skills. Track record in finding solutions to complex problems within deadlines. Experience leading a team of engineers and designers. Managing multiple projects, deadlines, and deliverables in parallel. Communicating with multiple teams and stakeholders. Priority management and schedule planning. Knowledge of underground powerlines construction methods a plus. Knowledge regarding easements, right-of-way, and permitting considerations and impacts. Knowledge of creating plan & profile drawings using Civil-3D or MicroStation. Able to handle multiple projects simultaneously and to prioritize work. Knowledge of utility telecommunications, distributed energy resource integration, and advanced distribution technologies a plus. Strong analytical capability. Flexibility to work in different roles for different clients both locally and worldwide. Traveling will be a considerable advantage. Capable of devising new approaches to problems encountered. Qualification : Diploma in Electrical/Civil with 3-4 years of experience OR ITI in Electrical/Civil with 6-8 years of experience.

Job Title: USS Calibration Engineer / Acoustic Engineer Position Overview: We are seeking a highly skilled USS Calibration Engineer / Acoustic Engineer to join our team. This technical systems role requires a deep understanding of the principles and functioning of ultrasonic sensor technology used in the automotive industry. The role focuses on manipulating automotive-grade ultrasonic sensor settings to achieve precise detection goals. Key Responsibilities: Ultrasonic Sensor Calibration: Calibrate automotive ultrasonic sensors to achieve optimal detection accuracy under varying environmental conditions. Signal Processing and Interpretation: Apply signal processing techniques for the accurate calibration and interpretation of sensor data, ensuring reliable sensor performance. Data Analysis: Analyze data generated by ultrasonic sensors and troubleshoot issues related to sensor calibration and performance. Testing and Troubleshooting: Set up controlled testing environments to calibrate sensors accurately and troubleshoot performance issues. ISO Standards Compliance: Ensure that ultrasonic sensor features meet ISO standards for automotive applications. Essential Skills: Ultrasonic Sensor Technology: In-depth knowledge of ultrasonic sensor technology, including its functioning and application in automotive systems. Sensor Calibration and Performance: Expertise in calibrating sensors and optimizing their performance for various automotive applications. Preferred Skills: Automotive Ultrasonic Features: Experience with automotive ultrasonic features and standards, particularly those related to detection and performance optimization. This position is ideal for candidates with a strong background in ultrasonic sensor technology and sensor calibration, particularly within the automotive industry. If you have a deep understanding of signal processing, data analysis, and calibration techniques, we encourage you to apply!

Senior Memory Design Engineer Company Arm Location Noida, India Job Description This opening is for a Senior Memory Design Engineer in our PHYSICAL IP MEMORY group in Noida. We work on innovative memory architectures in leading-edge technology nodes to enable the best Arm Systems across all markets. As a memory design professional, this position is a rare opportunity to work with our successful circuits, characterization, and layout team, and gain a deep understanding of memory usage in SoCs based on Arm cores. You will discover a wide variety of circuit innovations while working on different types of memories in cutting-edge process technologies. Responsibilities In this role, you will be working in the following areas: Work on memory architecture development in the latest technologies. Transistor-level full-custom design and collaboration with the physical design team for layout realization. Develop new design features and perform circuit/layout optimizations to meet Performance, Power, and Area targets. Lead memory design verification and characterization activities. Ensure high-performance memory designs with the lowest possible power, as needed for Arm CPUs, GPUs, and SOCs. Required Skills and Experience 5-8 years of proven experience in memory design. Strong interest and command of basic electronics (Diodes, RC Circuits, CMOS, etc.). Solid understanding of digital electronics fundamentals (Flip-Flops, Latches, Decoders, Multiplexers). Understanding of setup and hold time concepts. In-depth knowledge of memory fundamentals, especially single-port SRAM: Circuit design (Bitcell, WL decoder, Sense Amp, Self-time, Assist, Low power features, DFT features). Good understanding of technology trade-offs in deep sub-micron technologies. Self-motivated, hardworking, and positive outlook. Strong organizational skills with attention to detail. Nice-to-Have Skills and Experience Understanding of advanced process technology nodes and memory product layout implementation. Experience with shell scripting, machine learning (ML), and automation. Knowledge of statistical simulations (e.g., Monte Carlo). 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, and meritocratic workplace where everyone can grow and succeed, we encourage our people to make exceptional contributions to Arm's success in the global marketplace. Accommodations at Arm If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. By sending the requested information, you consent to its use by Arm to arrange appropriate accommodations. All accommodation requests will be treated with confidentiality, and information will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility. Hybrid Working at Arm Arm s hybrid working approach is designed to create an environment that supports both high performance and personal wellbeing. We believe in bringing people together face-to-face to enable faster work while recognizing the value of flexibility. Hybrid working patterns depend on team and role requirements, which will be discussed upon application. Some flexibility might be limited by legal, regulatory, tax, or other considerations. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to fostering 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 based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

Position: Sr. Network & Security Systems Engineer Location: Payoda, Global Regions Experience: 12 15 years of IT and business/industry work experience Education: Diploma with 10+ years or Bachelor's in Computer Science, Information Systems, or related field. Equivalent work experience considered. Shift: 24/7 Job Overview: The Sr. Network & Security Systems Engineer will design, implement, and support VMware NSX-based solutions requested by sales managers for various global clients. The role requires advanced technical expertise in NSX environments, strong troubleshooting skills, and experience with networking and security technologies. The candidate will collaborate with cross-functional teams and provide expert-level support to ensure stability and performance of NSX deployments. Key Responsibilities: Review customer High-Level Design (HLD) and Low-Level Design (LLD) documents and assess feasibility, risks, and constraints. Work closely with L1 teams to address global customer problems via virtual meetings. Create and maintain Method of Procedures (MOP) for planned activities and real-time problem resolution. Prepare Root Cause Analysis (RCA) reports and suggest workarounds by consulting OEM knowledge bases. Design hybrid and multi-cloud solutions for private and multi-cloud infrastructures. Prepare Bill of Quantity (BOQ) and Bill of Materials (BOM) by working with internal and external SMEs. Provide technical documentation, including IP schemas and technical specifications. Continuously monitor advancements in virtualization, networking, security, and cloud technologies. Train and support other team members to offload repetitive tasks and take on complex tasks with practice. Technical Skills and Responsibilities: Provide security and network support for physical networking and firewall services. Deliver and maintain network and security infrastructures using NSX/NSX-T. Implement networking and VXLAN technologies and improve network manageability and scalability. Monitor integration with other software-defined networking technologies. Maintain VMware vROps (ARIA) for capacity planning and troubleshooting. Automate network deployment and configuration with integration of compute and storage automation. Support operations and maintenance of VMware virtual infrastructure. Improve customized outlines using NSX, vRA (ARIA), and vRO (ARIA). Key Success Factors: Extensive knowledge of Cisco and VMware products and solutions. Hands-on experience with network diagram tools like Visio and Lucidchart. Ability to build High-Level Design documents independently. Strong understanding of Cisco Solution Life Cycle Prepare-Plan-Design-Implement-Operate-Optimize. Ability to lead technical workshops and explain solutions to non-SMEs. Knowledge of cloud providers like AWS, Azure, and GCP. Required Skills: NSX-T, NSX-T Edge, NSX Firewall, NSX Load Balancer VMware Cloud Foundation vCenter and ESXi vRealize Network Insight and Log Insight Automation scripting experience in Python, PowerShell, or equivalent Experience with Agile development methodologies Certifications: VMware Certified Professional (VCP) or Expert VCP-NV VCDX-NV VCP NV-Adv-Professional Join Us! We offer a collaborative environment, continuous learning opportunities, and a chance to work on advanced technologies. Let s celebrate work and grow together! Qualification : Diploma with 10+ years or Bachelor's in Computer Science, Information Systems, or related field. Equivalent work experience considered.

Experience: 4+ Years (Bachelor s) | 3+ Years (Master s) | 2+ Years (PhD) Company Overview As a leading technology innovator, Qualcomm pushes the boundaries of what s possible to enable next-generation experiences and drive digital transformation, helping to create a smarter, connected future for all. Qualcomm Hardware Engineers collaborate with cross-functional teams to plan, design, optimize, verify, and test cutting-edge products, enabling transformative solutions in the hardware space. Role Overview The SRAM Design Engineer will be responsible for the design, verification, and optimization of SRAM (Static Random-Access Memory) blocks for advanced process nodes. This role requires deep expertise in custom circuit design, low-power methodologies, and process technology trends. The ideal candidate will work on complex memory designs, collaborate with cross-disciplinary teams, and contribute to Qualcomm's next-generation hardware solutions. Key Responsibilities Design and develop SRAM circuits for advanced technology nodes (FinFET and beyond). Perform schematic design, simulation, and verification of memory circuits to meet performance, power, and area (PPA) targets. Optimize designs for low-power, high-speed, and high-density applications. Collaborate with layout engineers to ensure design compliance with foundry design rules and assist in layout optimization. Analyze and resolve design for manufacturing (DFM) and yield issues. Work closely with cross-functional teams (architecture, verification, and technology teams) to meet design specifications and performance requirements. Utilize SPICE simulations and other EDA tools to validate circuit functionality and robustness under process, voltage, and temperature (PVT) variations. Contribute to the post-silicon bring-up and debugging of memory-related issues. Qualifications Minimum Requirements: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 4+ years of relevant work experience. OR Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 3+ years of relevant work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, or a related field and 2+ years of relevant work experience. Technical Skills: Expertise in SRAM design, simulation, and verification. Strong knowledge of circuit design principles, including timing, noise, and power analysis. Experience with advanced process technologies (FinFET, 7nm, 5nm, 3nm). Proficiency with SPICE-based simulators and EDA tools for circuit analysis. Understanding of memory architecture, power management techniques, and design for yield (DFY) methodologies. Familiarity with DFM practices, chip integration, and physical design constraints. Preferred Qualifications: Experience in low-power SRAM design and assist circuits (read/write assist). Knowledge of self-repairing memories and redundancy schemes. Exposure to silicon validation, post-silicon debug, and memory characterization. Excellent problem-solving and communication skills.

General Summary: Qualcomm is the industry leader in integrated chipsets that power advanced mobile devices. We are expanding our expertise in wireless technologies and advanced multimedia capabilities to continue delivering high-performance multimedia systems with low power consumption and competitive cost, while maintaining strong feature differentiation. Join Qualcomm India s Multimedia Systems Team and work at the cutting edge of performance modeling, system architecture, and evaluation of camera, video, and computer vision hardware IPs. This role offers the chance to collaborate on image signal processors (ISP), video codec hardware, and advanced algorithms for computer vision and image/video processing. Key Responsibilities: As part of the Systems and R&D team, your responsibilities may include the following: Design and maintain transaction-accurate/static models for multimedia IPs. Perform performance validation and debugging for pre- and post-silicon platforms. Conduct architecture analysis for system performance optimization. Define use-case flows for multimedia applications. Understand product features and assess their impact on system performance. Collaborate with the product marketing team to recommend feature support configurations for specific system setups. Minimum Qualifications: Bachelor s degree in Electrical Engineering, Computer Science, or a related field with 4+ years of relevant experience, or Master s degree with 3+ years of experience. Strong analytical and problem-solving skills with implementation experience. Solid understanding of SoC infrastructure (NoC, Memory Controller, DDR, QoS, MMU). Systems mindset with a focus on power and performance optimization. Experience in performance modeling/verification and debugging system performance issues. Proficiency in C, SystemC, and familiarity with UNIX/Win/Linux computing platforms. Preferred Qualifications: Background in system architecture, hardware IP micro-architecture, or embedded software/firmware. Experience in image/video signal processing. Knowledge of image sensor technology and codec standards. Educational Requirements: Required: Bachelor s degree in Computer Science or Electrical & Computer Engineering. Preferred: Master s degree in a related field. Qualification : Bachelors in Computer science or Electrica

Meet the Team CX is a team of exceptional technical experts whose primary focus is delivering a premier customer experience. We tackle the most complex business challenges with network-centric solutions that accelerate both customer and partner success. Our achievements are validated through impressive financial results, increasing customer satisfaction, industry recognition, and high employee satisfaction scores. The Cisco Security team works on some of the most challenging issues with Cisco s top customers. This is an incredible opportunity to master the latest technologies and products while working in a technically diverse and supportive environment. Grow your skills alongside some of the brightest minds in the industry, as we deploy and support today's most advanced Internet technologies. Your Impact As a senior member of our team, you will: Provide Tier-4 level consultation and troubleshooting on complex and rare network topologies, utilizing mixed media protocols, for large enterprise Cisco customers in NGFW technology. Analyze and resolve complex problems, where detailed evaluation of factors is required. Deliver systems/product training to customers, contributing to the knowledge base for customer support and internal partners. Be a focal point for high-impact, large account problem resolution. Collaborate with VARs, OEMs, end-users, and internal engineering teams to enhance product quality. Partner with technical leaders and development teams within Cisco and with customer end technical leads. Minimum Qualifications Experience with Cisco Security technologies such as VPN. Proven customer-facing experience is essential. Strong communication skills and the ability to build social relationships and influence decisions. Ability to work with a multi-functional, geographically diverse team. Creative problem-solving skills with the ability to multi-task in a fast-paced, evolving environment. Preferred Qualifications Expertise in troubleshooting complex security-related issues. In-depth knowledge of Cisco ASA and Firepower. CCIE Security certification (desired). Proven ability to demonstrate technical leadership in troubleshooting scenarios, especially during Webex or telephonic customer interactions. #WeAreCisco At Cisco, we embrace the uniqueness of every individual, bringing together diverse skills and perspectives to achieve our mission of powering an inclusive future for all. Our passion for connection drives us to celebrate the diversity of our employees, unlocking their potential. Cisconians enjoy learning and development at every stage of their careers, as part of a company that pioneered hybrid work trends, allowing all to give their best while being their best. We believe in bringing communities together, and at the heart of that vision are our people. Over a third of Cisconians are active in one of our 30 employee resource organizations, called Inclusive Communities, where we foster belonging, learn to be informed allies, and make a difference. With 80 paid hours off each year to volunteer, nearly 86% of our employees give back to causes they are passionate about! Our purpose driven by our people is what has made us the worldwide leader in technology that powers the internet. We help our customers reimagine their applications, secure their enterprises, transform their infrastructure, and meet their sustainability goals. Join us and take your next step towards a more inclusive future, as part of our innovative team.

About Unilever Unilever is a purpose-driven global company, impacting the lives of billions of consumers in over 190 countries. Our brands are trusted and loved, and we are committed to making sustainable living commonplace. We believe that doing business the right way drives both performance and positive societal change. At Unilever, we foster an inclusive, flexible, and collaborative work environment. Your career here will be a dynamic journey where you can shape your future while contributing to a better business and a better world. About UniOps Unilever Operations (UniOps) is the technology and business services engine of Unilever, providing seamless enterprise solutions across 190+ locations. Through strategic sourcing, digital transformation, and operational excellence, UniOps enables Unilever to drive growth, enhance efficiency, and stay future-fit. Role Overview As a Global Security Specialist Workplace Experience and Operations, you will be responsible for designing, implementing, and managing security programs across Unilever s global workplace facilities, passenger fleet, and travel service lines. Your role will ensure compliance with global security and safety standards while driving innovation, operational excellence, and best practices in risk management. You will collaborate with internal stakeholders, suppliers, and cross-functional teams to enhance safety measures, leverage emerging security technologies, and maintain a secure environment for Unilever employees. Key Responsibilities Security Strategy & Technology Integration Develop and implement a comprehensive security and safety strategy aligned with Unilever s global objectives. Design roadmaps for security transformation initiatives and oversee their execution. Evaluate and integrate advanced security technologies to enhance workplace safety. Support the deployment of digital solutions to meet security and safety goals. Stay updated on emerging security trends and recommend innovative measures. Cross-Functional Collaboration Partner with internal teams, including HR, IT, Legal, and Facility Management, to create a holistic security framework. Communicate security initiatives and updates to senior leadership. Drive change management efforts, providing training and awareness programs. Operational Safety & Security Assist in implementing the Workplace Sustainability, Safety & Security (WPS) work plan. Ensure compliance with Unilever s global safety policies for travel, events, and fleet management. Monitor security and safety performance, infrastructure, and service delivery. Proactively manage risks and escalations, working closely with regional teams. Vendor & Budget Management Manage relationships with key security and safety suppliers. Oversee contract negotiations, service level agreements, and supplier performance evaluations. Develop and manage the budget for security initiatives, ensuring efficient resource allocation. Capability Building & Compliance Embed a strong security culture across Unilever s workplace services, impacting 800+ employees and 6,000+ contractors. Ensure consistent implementation of global security frameworks and standards. Organize training programs, workshops, and capability-building initiatives. Champion a culture of security awareness to minimize risks and incidents. Qualifications & Experience Education: Bachelor s degree in Engineering, Science, Business, or a related technical discipline. Experience: Strong background in security and safety management within a corporate, FMCG, or facility management environment. Knowledge of occupational safety regulations and industry best practices. Experience in managing large-scale security projects and implementing digital security solutions. Familiarity with change management and training initiatives. Skills: Strong communication and stakeholder management skills. Ability to work in a fast-paced, global environment. Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook). Project management experience with a strategic mindset. Fluency in English; additional language skills are a plus. Why Join Unilever? At Unilever, we celebrate diversity and inclusion, ensuring that all employees regardless of race, gender, age, disability, or background have the opportunity to thrive. Join us to challenge conventional ideas, drive innovation, and make a meaningful impact on business and society. Qualification : Bachelors degree (Engineering / Science / Business / Technical discipline).