Assembly Simd Vector Jobs in Bengaluru

Security Research Engineer Security Research Experience: 5 8 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod is a SaaS-based cybersecurity products company focused on prevention-first security. Our Saner Cloud platform is a unified CNAPP solution that combines AI-driven threat intelligence, automated vulnerability detection, and Cloud Security Posture Management (CSPM) to secure multi-cloud environments. Role Summary We are seeking a highly skilled Security Research Engineer to join our Security Research team. This role focuses on researching emerging cloud security threats, developing security intelligence feeds, building proof-of-concepts (PoCs) for misconfigurations, and creating automated remediation and compliance content. Key Responsibilities Threat Research: Conduct security research to develop intelligence feeds and checks with a strong emphasis on cloud security. Vulnerability & Risk Analysis: Identify and create PoCs for emerging cloud misconfigurations and security risks. Automation: Develop automation for research and validation tasks using Python or other scripting languages. Compliance & Remediation: Build remediation feeds for cloud misconfigurations and compliance benchmarks. Lifecycle Management: Manage the end-to-end lifecycle of research outputs, from initial development through production release. Required Qualifications & Skills Professional Experience: 5 8 years in security research or engineering, with at least 3 years in a senior technical role. Cloud Infrastructure: Hands-on experience with AWS, Azure, or GCP. Technical Fundamentals: Strong understanding of operating systems, networking, and computer science security. Programming: Proficiency in languages such as Python, C, C++, or Java. Environment Expertise: Experience across Linux/Unix, Windows, and virtualization environments. Compliance: Solid knowledge of cloud security and security benchmark compliance. Education Bachelor s degree (or equivalent) in Computer Science or a related field. Qualification : Bachelors degree (or equivalent) in Computer Science or a related field

Associate Packaging Location: Bengaluru Employment Type: Full-Time Job Summary We are seeking a diligent Regulatory Compliance Team Lead to manage the qualification and compliance of packaging materials used in consumer products across the EMEA region. This role will focus on ensuring adherence to key EU and French regulations, coordinating testing and documentation, and collaborating closely with cross-functional teams to advance packaging compliance initiatives. Key Responsibilities Lead the qualification process for packaging materials used in consumer products, ensuring regulatory compliance across the EMEA region. Ensure packaging materials comply with relevant regulations including, but not limited to: EC 1223/2009 (Cosmetic Products Regulation) REACH Regulation (EC) No 1272/2008 French AGEC Law & Decree (including Article L. 5232) EU 2019/1021 (Persistent Organic Pollutants Regulation) EC 10/2011 (Food Contact Materials, if applicable) EU 528/2012 (Biocidal Products Regulation) Compliance with PFAS-related restrictions Conduct or oversee evaluations including: Packaging safety assessments (chemical compatibility, leaching/migration analysis) Stability and microbial integrity checks related to packaging Substance screening for SVHCs, POPs, phthalates, PFAS, and other restricted substances Review, validate, and manage supplier documentation such as Safety Data Sheets (SDS), Certificates of Compliance (CoC), Declarations of Conformity (DoC), migration test reports, and recyclability data. Collaborate effectively with cross-functional teams and external vendors/suppliers to ensure timely document collation and verification. Guide, mentor, and support junior team members involved in packaging compliance activities. Qualifications Bachelor s degree in Chemistry, Packaging Engineering, or a related field. Minimum of 2 3 years of experience in the life sciences industry, preferably within a packaging department. Strong understanding of packaging development and raw material chemistry. Excellent communication skills, demonstrating effective, timely, and proactive engagement with internal teams and external suppliers. Critical thinking ability to ask relevant questions, avoid redundant steps, and leverage past learnings to improve processes. Be part of a team driving compliance and innovation in consumer product packaging across the EMEA region. Collaborate with diverse experts and suppliers to ensure the highest standards of safety and regulatory adherence. Grow your career in a dynamic and evolving life sciences environment. Interested? Apply now to contribute your expertise to packaging compliance excellence! Qualification : Bachelors degree in Chemistry, Packaging Engineering, or a related field

Job Title: Industrialization Engineer Location: Bengaluru, India Experience Required: 5 10 years Industry: Electronics / Electric Vehicles Employment Type: Full-time Company: Ultraviolette Automotive Pvt Ltd Join the Charge. Create the Future. At Ultraviolette, we are redefining mobility. From building India s fastest electric motorcycle to developing the world s most advanced electric scooter, we thrive on innovation, bold thinking, and performance that thrills. We're a diverse, passionate team of engineers, designers, and creators united by one mission: to build machines that are not only sustainable, but exhilarating. If you re driven by purpose and ready to shape the future of mobility, this is your moment. Role Overview: We are looking for a technically strong and hands-on Industrialization Engineer (Electronics) to lead the transition from R&D prototypes to scalable, high-quality mass production. In this cross-functional role, you will work at the intersection of design, manufacturing, sourcing, and embedded systems, ensuring our products are built for scale, reliability, and performance without compromising innovation. Key Responsibilities: Technical Ownership & Industrialization: Lead industrialization from EVT (Engineering Validation Test) to DVT (Design Validation Test) and PVT (Production Validation Test), up to mass production. Translate R&D designs into production-ready documentation (BOMs, Gerbers, PCBA specs, test jigs, etc.). Conduct Design for Manufacturability (DFM) and Design for Testability (DFT) reviews. Own ramp-up metrics such as yield, test coverage, defect trends, and field return analysis. Collaborate with R&D teams on thermal design, layout optimization, and component derating strategies. Ensure compliance with voltage isolation, creepage/clearance, and relevant safety standards. Supplier & EMS Collaboration: Act as a technical bridge between internal teams and EMS vendors, ensuring alignment from design to execution. Coordinate with EMS on NPI builds, process validation, line setup, and FAI (First Article Inspection). Support firmware flashing, version control, and hardware-software integration testing at production lines. Assist in troubleshooting mechanical, electrical, or firmware-related issues during production. Component Engineering & Cost Optimization: Evaluate and qualify alternate components and suppliers. Drive cost engineering and BOM optimization without compromising on quality. Engage in component lifecycle management and ensure availability through the production lifecycle. Required Qualifications & Skills: B.E./B.Tech in Electronics, Electrical, or related field 5 10 years experience in hardware industrialization, preferably in EV or electronics manufacturing Strong knowledge of PCB design reviews, SMT/PCBA processes, and box build Hands-on with tools like Altium, OrCAD, or similar for PCB-level evaluations Experience with ICT/FCT test setups, test fixture design, and test station validation Basic embedded systems understanding firmware flashing, serial log analysis, GPIO testing Experience working directly with EMS vendors, test labs, and component suppliers Excellent cross-functional communication skills Willing to travel to EMS or supplier sites for builds and validation Nice to Have (Preferred): Familiarity with FMEA, APQP, PPAP, ISO/IATF 16949 processes Knowledge of compliance and safety standards (e.g., IEC, ISO 26262) Background in value engineering, cost-down programs, and process audits Work on industry-defining EV products with world-class engineering challenges Collaborate with cutting-edge R&D and manufacturing teams Be part of a mission-led company that s changing the landscape of mobility A workplace culture that values ownership, audacity, and excellence Apply now and be a part of something bigger. Let s create the future together. Qualification : B.E./B.Tech in Electronics, Electrical, or related field

Tool Design Engineer Location: Bangalore Department: Tool Design Designation: Engineer Tool Design About the Role Sansera Engineering is looking for a motivated and skilled Tool Design Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and testing tooling solutions that support efficient and high-quality manufacturing processes. This role requires close collaboration with production, quality assurance, and supply chain teams to ensure successful project execution and continuous improvement. Key Responsibilities Design and develop cutting tools and fixtures using AutoCAD and 3D modeling software. Select appropriate cutting tools based on process requirements and application. Create detailed engineering drawings including isometric views, GD&T, and basic fixtures. Conduct feasibility studies, perform engineering calculations, and analyze tooling costs (process cost, cycle time, tool cost per component). Troubleshoot issues related to cutting tools and machining processes to improve efficiency. Drive continuous improvements in machining and tooling processes. Prepare technical documentation, reports, and project specifications. Assist in project planning, scheduling, and meeting deadlines within budget constraints. Analyze performance data to optimize tool designs and manufacturing processes. Stay updated on the latest industry trends, technologies, and best practices. Ensure compliance with quality assurance standards and safety protocols. Skills and Qualifications Diploma or Bachelor s degree in Mechanical Engineering. 3 to 6 years of experience in tool design, preferably within a manufacturing or machining environment. Proficiency in AutoCAD and 3D CAD tools for tool design. Strong knowledge of cutting tool selection and machining processes. Familiarity with GD&T (Geometric Dimensioning and Tolerancing). Good understanding of manufacturing processes, materials, and cost optimization. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively within cross-functional teams. Awareness of quality standards such as ISO and experience with quality assurance processes. Strong project management skills with the ability to handle multiple tasks concurrently. Opportunity to work with a leading engineering company specializing in high-precision automotive and aerospace components. Dynamic and supportive work environment that encourages innovation and professional growth. Involvement in cutting-edge tooling projects that impact global manufacturing operations. Qualification : Diploma or Bachelors degree in Mechanical Engineering

Job Title: Mechanical Design Engineer Location: Bengaluru Experience Required: 2 to 4 years Minimum Qualification: Bachelor of Engineering (BE) Key Skills Mechanical Product Design 3D Modeling (NX or SolidWorks) Engineering Drawing & Documentation Prototyping & Testing FEA & Tolerance Stack-Up Analysis DFMEA & Risk Assessment Cross-functional Collaboration Supplier & Manufacturing Support Job Summary We are looking for a talented and detail-oriented Mechanical Design Engineer to support the development of innovative mechanical products from concept through to production. The ideal candidate will have 2 4 years of hands-on experience in mechanical design, a strong grasp of engineering principles, and a passion for problem-solving and continuous improvement. Key Responsibilities Support mechanical design efforts for new product development from concept to launch. Create detailed 3D models, engineering drawings, and Bills of Materials (BOMs) using NX or SolidWorks. Build and test prototypes to validate design concepts and performance. Collaborate closely with electrical, software, industrial design, and manufacturing teams. Evaluate material choices, manufacturing processes, and cost implications during the design phase. Perform tolerance stack-up analyses, finite element analysis (FEA), and other engineering calculations. Participate in and support design reviews, DFMEA sessions, and risk assessments. Liaise with suppliers and contract manufacturers to ensure design integrity through production. Maintain accurate documentation in line with engineering change control and regulatory requirements. Contribute to continuous improvement initiatives and intellectual property (IP) development. Qualification : Bachelor of Engineering (BE)

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Mechanical Design Engineer Location: Bengaluru Industry: Automation / Special Purpose Machinery (SPM) / Semiconductor (preferred) Qualifications: Bachelor s degree in Mechanical Engineering (BE) 3 to 5 years of relevant experience, preferably in machinery or automation sectors Technical Skills: Proficiency in 3D CAD software (mandatory), such as SolidWorks, Autodesk Inventor, or NX Strong expertise in selection and integration of OEM components: motors, couplings, bearings, linear motion guides, O-rings Knowledge of weldment processes, machining for structural design, and sheet metal fabrication for enclosures Ability to create detailed 3D models and GD&T drawings for manufacturing Experience in design calculations like LM guide movement, coupling torque, and O-ring sizing (a plus) Familiarity with semiconductor industry design activities is advantageous Working knowledge of pneumatic, vacuum, and cooling systems is beneficial Soft Skills: Excellent communication skills Willingness to work flexible hours to accommodate US time zone meetings Responsibilities: Develop and generate 3D models and detailed manufacturing drawings adhering to design standards Perform design calculations and validate engineering designs to ensure accuracy and feasibility Collaborate closely with cross-functional teams to select and integrate OEM components appropriately Participate in structural and sheet metal enclosure design and development Keep up-to-date with the latest trends and technologies, especially in semiconductor and automation domains Provide technical support on pneumatic, vacuum, and cooling systems as needed Perform additional related duties as assigned to support project and team objectives Qualification : Bachelors degree in mechanical engineering (BE)

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Associate Graphic Designer Location: Bangalore North, Karnataka, India Job Type: Full-Time Industry: Entertainment / Mobile Gaming About Us We are one of India s most exciting and fast-growing mobile gaming companies. Founded in 2014 and partnered with Modern Times Group (MTG), our vision is to create simple, impactful casual game experiences at a massive scale. Our portfolio features evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, TileMatch, and Jigsaw. We have built a global network of chart-topping games supported by powerful tech and analytics infrastructure to turbocharge growth. Position Summary Key Responsibilities Design a variety of assets including game icons, banners, and other game elements to create engaging user experiences. Convert verbal and written ideas into compelling visual graphics and layouts. Research marketing trends and collaborate with Copywriters and the Creative Director to produce effective designs. Develop concepts from initial sketches through to final renders independently. Communicate ideas clearly and work collaboratively with the team to meet creative needs. Welcome feedback and iterate quickly to deliver high-quality creative assets within deadlines. Requirements Minimum 1+ years of professional graphic design experience. Proficiency in Adobe Creative Suite, especially Photoshop, Illustrator, and Figma. Ability to independently create graphics from concept to final delivery. Strong understanding of design fundamentals such as composition, color theory, and typography. Portfolio demonstrating solid graphic design skills and creativity. Knowledge of Adobe After Effects is a plus. A visionary designer who can translate ideas into visually stunning graphics. A creative thinker with a passion for staying current with design trends. A strong team player with excellent communication skills. Someone who can manage multiple design tasks while maintaining high standards and meeting deadlines.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

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.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Description: Experienced in at least one of the industry wide 3D CAD Design packages with wire harness design routing add-ons (Unigraphics NX, CATIA, etc.) Proficiency in NX Electrical Workbenches, Part and Assembly Design. Experience within the automotive industry. Work experience in PDM/PLM tool Good Communication skills German language proficiency would be an added advantage. Good understanding of automotive electrical packaging concept and Electrical/mechanical interfaces. Educational Qualification: B.E / B.Tech (Automobile/Mechanical/Electrical Engineering) Number of Positions: 10 Skills: UGNX / Catia

Job Description: Experience in Low & High voltage w/h Creation of 3D CAD models for Electrical Routing, Schematic, Sheet metal or plastic components, PDM & PLM exposure. Experience with Automotive product development. Good in NX wiring harness, Electrical Routing & Sheetmetal & Part modeling module. Educational Qualification: BE / ME / B.Tech /M.Tech Number of Positions: 2 Qualification : BE / ME / B.Tech /M.Tech

CPU Verification Engineer Company Arm Location Bengaluru Job Overview Responsibilities Contribute technically as part of project teams to deliver high-quality ARM CPU designs. Execute comprehensive CPU design verification, focusing on improving design quality through stress testing and bug identification. Effectively plan, conduct reviews, provide status updates, and meet delivery expectations. Collaborate with design and architecture teams to ensure effective coverage and provide accurate project planning inputs. Design and develop verification testbenches and components required for effective verification. Maintain knowledge of company processes to work effectively within defined standards and methodologies. Drive efficiency improvements in verification tools and methodologies and mentor team members to support career development. Required Skills and Experience 3+ years of experience in CPU, IP, or SoC product development environments. Experience in design verification/validation, including developing test plans, testbenches, and executing measurable verification processes. Familiarity with processor verification using assembly language and C/C++. Knowledge of microprocessor and/or SoC architecture and microarchitecture, preferably ARM processors and ARM-based systems. Strong problem-solving and debugging skills, with a commitment to continuous improvement. Nice-To-Have Skills and Experience Strong understanding of CPU architecture and microarchitecture. Experience with ARM-based system designs and hierarchical memory systems. Programming languages: Verilog, Assembly, C/C++, Perl, Python. Experience with verification languages such as SystemVerilog. Familiarity with power-aware verification methodologies. What Arm Offers This is a fantastic opportunity to shape the future of CPU verification at Arm while advancing your own career. Join our CPU design verification team and play a key role in delivering Arm's strategic goals! #LI-KR2

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.