98 Vector Jobs - Page 4

Job Description Summary We are seeking a talented Product Security and Threat Analyst Engineer to join our Post-Market Vulnerability Team You will be at the forefront of our product security cybersecurity defense This role will focus on identifying, analyzing, and mitigating cyber threats and vulnerabilities affecting BDs medical products The successful candidate will collaborate with cross-functional teams to ensure products meet the highest standards of security and regulatory compliance, while proactively improving threat detection and response capabilities You will play a crucial role in securing our extensive range of medical devices and systems against cyber threats You will be responsible for monitoring, analyzing, and responding to incoming security threats, conducting in-depth research on emerging cyber threats, vulnerabilities, and attack vectors You will evaluate product impact and reassess threats based on product security factors You will be required to use your deep understanding of threat research to document possible threats and their impact to BD products The primary work will involve vulnerability assessments, which includes threat research and analysis, potential impact, exploitability Assessments will involve product and code analysis to determine the exploitability of vulnerability, as well as assessing safety risk, severity and likelihood Responsibilities Job Description Develop and implement strategies to identify, analyze, and mitigate cyber threats targeting BD products Enhance threat hunting activities to detect and respond proactively to potential security risks Conduct in-depth threat research on vulnerabilities, attack vectors, and possible impacts Develop and maintain artefacts required for ATO submissions, including vulnerability scans, System Security Plans (SSPs), and Risk Assessment Reports Determine and document likelihood of exploitability and potential safety risks for potentially impacted products Calculate residual risk for vulnerabilities by considering compensating controls, mitigations, and operational environments Document all threat research and vulnerability assessments in clear, concise, and actionable reports Work with BD public relations teams, providing accurate and timely information on threat status, impact, and analysis for product leadership and customers Partner with product security officers and cross-functional teams to define threat impacts, implement mitigations, and coordinate responses Support the preparation of regular threat intelligence reports and briefings to senior management and stakeholders Continuously enhance threat intelligence processes, tools, and technologies Stay up to date with the latest cybersecurity trends, vulnerabilities, and emerging threats May perform other duties as required Qualifications At least 5 years of experience in cybersecurity, with expertise in threat hunting and vulnerability analysis Strong knowledge of cybersecurity threats, vulnerabilities, attack vectors, and controls (e g , authentication, cryptography, secure coding) Familiarity with DevSecOps practices and tools for SCA, SAST, DAST, and vulnerability scanning Experience with security frameworks such as NIST 800-53, ISO 27001, GDPR, or IEC 81001-5 Knowledge and experience with various programming languages such as C/C++, C#, Python, JavaScript, Ruby, PHP, Go, Swift a plus Strong understanding of MS Windows and Linux operating systems (past and current) and the Dot Net framework Experience with threat intelligence platforms, threat hunting tools, and cybersecurity frameworks Experience implementing and demonstrating compliance to security frameworks such as NIST 800-53, IEC 81001-5, HITRUST, HIPAA, GDPR, ISO 27001, SOC 2 Ability to work in a fast-paced, dynamic environment and manage multiple priorities Strong analytical and problem-solving abilities Strong written and verbal communication skills Strong technical acumen Relevant certifications such as Security+, CEH, or GIAC are a plus Required Skills Optional Skills Primary Work Location IND Bengaluru Technology Campus Additional Locations Work Shift

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: The ideal candidate should leverage his knowledge and experience to provide leadership, technical guidance, and execution of silicon validation of ARM or DSP based multiple SOC projects and platforms Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce Scripting language like Perl, Tcl or Python Analytical and Debugging skills Experience in Hifi Processor, Soundwire interface, ANC, DMA, I2S verification experience is a Plus. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. 12-15 years of experience with a Bachelor's/ Masters degree in Electrical/ Electronics engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Test Engineering General Summary: About The Role : We are seeking a Senior Staff AI System-Level Test Engineer to lead end-to-end testing of Retrieval-Augmented Generation (RAG) AI systems for Hybrid, Edge-AI Inference solutions. This role will focus on designing, developing, and executing comprehensive test strategies for evaluating the reliability, accuracy, usability and scalability of large-scale AI models integrated with external knowledge retrieval systems. The ideal candidate needs to have deep expertise in AI testing methodologies, experience with large language models (LLMs), expertise in building test solutions for AI Inference stacks, RAG, search/retrieval architecture, and a strong background in automation frameworks, performance validation, and building E2E automation architecture. Experience testing large-scale generative AI applications, familiarity with LangChain, LlamaIndex, or other RAG-specific frameworks, and knowledge of adversarial testing techniques for AI robustness are preferred qualifications Key Responsibilities: Test Strategy & Planning Define end-to-end test strategies for RAG, retrieval, generation, response coherence, and knowledge correctness Develop test plans & automation frameworks to validate system performance across real-world scenarios. Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs Implement E2E solutions to integrate Inference systems with customer software workflows Identify and implement metrics to measure retrieval accuracy, LLM response quality Test Automation Build automated pipelines for regression, integration, and adversarial testing of RAG workflows. Validate search relevance, document ranking, and context injection into LLMs using rigorous test cases. Collaborate with ML engineers and data scientists to debug model failures and identify areas for improvement. Conduct scalability and latency tests for retrieval-heavy applications. Analyze failure patterns, drift detection, and robustness against hallucinations and misinformation. Collaboration Work closely with AI research, engineering teams & customer teams to align testing with business requirements. Generate test reports, dashboards, and insights to drive model improvements. Stay up to date with the latest AI testing frameworks, LLM evaluation benchmarks, and retrieval models. Required Qualifications: 13+ years of experience in AI/ML system testing, software quality engineering, or related fields. Bachelors or masters degree in computer science engineering/ data science / AI/ML Hands-on experience with test automation frameworks (e.g., PyTest, Robot Framework, JMeter). Proficiency in Python, SQL, API testing, vector databases (e.g., FAISS, Weaviate, Pinecone) and retrieval pipelines. Experience with ML model validation metrics (e.g., BLEU, ROUGE, MRR, NDCG). Expertise in CI/CD pipelines, cloud platforms (AWS/GCP/Azure), and containerization (Docker, Kubernetes). Why Join Us? Work on cutting-edge AI retrieval-augmented generation technologies Collaborate with world-class AI researchers and engineers. If you are passionate about AI system testing and ensuring the reliability of next-generation generative models, apply now! Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Test Engineering or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Position - Quality Practitioner Experience - 8+ Years Location - Hyderabad Notice Period - Immediate to 30 days A Quality Practitioner in IT software is a professional responsible for ensuring the quality of software products throughout their development lifecycle. Their primary focus is to make sure that the software meets specified requirements, is free of defects, and provides a good user experience. Key Responsibilities: Quality Assurance (QA): Developing and implementing processes and standards to maintain quality throughout the development cycle. Quality Control (QC): Inspecting and testing software products to ensure they meet the required standards. Testing: Conducting different types of tests, including unit, integration, system, and user acceptance testing. Process Improvement: Continuously improving processes based on feedback and performance metrics. Collaboration: Working with developers, product managers, and other stakeholders to ensure quality is built into the product from the start. Common Roles and Titles: Quality Analyst Focuses on identifying issues and suggesting improvements. QA Engineer Designs and executes test cases, both manual and automated. Test Engineer Specializes in testing software for functionality, performance, and security. QA Manager Leads a team of QA professionals and oversees quality strategies and processes. Software Quality Consultant – Provides expert advice on quality practices and process improvements. Skills Required: Strong understanding of software development and testing methodologies. Proficiency in test automation tools (e.g., Selenium, JUnit, TestNG). Knowledge of QA tools like JIRA, TestRail, or Quality Center. Analytical and problem-solving skills. Good communication and collaboration abilities.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Bachelors /Masters degree in Engineering Relevant experience of 6+yrs in any of the mentioned domain - Verification/ Emulation/ Validation Verification: Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce FPGA Emulation : Familiarity with Verilog/Vhdl and General Digital Logic Design concepts Knowledge of system-level architecture including buses like ARM processor bringup, AXI/AHB, bridges, memory controllers such as DDR/Nand. Knowledge of peripheral emulation like PCIE/USB is a plus. Strong working knowledge of UNIX environment and scripting languages such as Perl or shell Working knowledge XILINX Virtex FPGA architecture and experience with ISE tool flow Pre/Post silicon Validation: ARM based System-On-Chip Pre-Silicon emulation and Post-Silicon ASIC Validation experience related to board bring up and debug. Perform system level validation and debug Debug experience with Lauterbach Trace32 environment. Test equipment like Logic analyzer, Oscilloscope and Protocol analyzers. Embedded software development of low level hardware drivers in C language. Working experience related to one or more of the following is required. ARM/DSP Processors/USB/PCIE, Ethernet Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Preferred Qualifications: Master's degree in Computer Science, Engineering, Information Systems, or related field. 5+ years of Hardware Engineering or related work experience. About The Role :: Own and deliver scan insertion. Validate equivalence checks and Debug/resolve any DRC issues, Identify solutions and work with front-end team to ensure DFT DRCs are fixed. Analyzing and meeting ATPG coverage goals. Own and deliver MBIST insertion, validate Memory tests. Owns STA constraints and work with STA team to resolve timing violations. Mandatory Skills: Knowledge in MBIST Operations. Expertise in handling Mentor ATPG tools, Synopsys Synthesis & SMS tool sets. Experience in Test coverage analysis and Simulation of ATPG vectors & MBIST tests. Preferred Skills: Exposure to LBIST, Low Power design and Scripting. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 5-9 years Hardware Engineering experience or related work experience. like 1 Level of Responsibility: Works independently with minimal supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Verification & Validation team is currently looking for self-motivated engineers who will perform Audio Verification including system level Verification and debug. The ideal candidate should leverage his knowledge and experience to provide leadership, technical guidance, and execution of silicon validation of ARM or DSP based multiple SOC projects and platforms Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Strong knowledge of digital design and SOC architecture. Good understanding of OOP concepts Experience in HVL such as System Verilog, UVM/OVM & System C Experience in HDL such as Verilog Knowledge of ARM/DSP CPU architecture, High Speed Peripherals like USB2/3, PCIE or Audio/Multimedia Familiarity with Power-aware Verification, GLS, Test vector generation is a plus Exposure to Version managers like Clearcase/perforce Scripting language like Perl, Tcl or Python Analytical and Debugging skills Experience in Hifi Processor, Soundwire interface, ANC, DMA, I2S verification experience is a Plus. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. Minimum of 5+ years experience in the area of DFT-, ATPG, Scan Insertion, MBIST, JTAG -In depth knowledge of DFT concepts. -In depth knowledge and hands on experience in DFT(scan/mbist) insertion, ATPG pattern generation/verification, mbist verification and post silicon bring up/yield analysis -Expertise in test mode timing constraints definition, knowledge in providing timing fixes/corrective actions for timing violations. -Ability to analyze and devise new tests for new technologies/custom RAM design/RMA etc. -Expertise in scripting languages such as perl, shell, etc. -Experience in simulating test vectors. -Knowledge of equivalence check and RTL lint tool (like spyglass). -Ability to work in an international team, dynamic environment -Ability to learn and adapt to new tools and methodologies. -Ability to do multi-tasking & work on several high priority designs in parallel. -Excellent problem-solving skills Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Description We are seeking a highly skilled and motivated Data Science & Machine Learning Developer with a minimum of 3 years of experience of working in Data Science in Conversational AI and Enterprise Search. The ideal candidate should be passionate about creating efficient, scalable, and maintainable code, with a focus on delivering high-quality solutions for our clients. Responsibilities Developing applications using the python programming language. Design and implement web applications using Python and related technologies. Should have worked on PyTorch and Vector Databases Should have worked on model training and Prediction from model Hands on experience in Conversational AI and Enterprise Search Candidate should have worked with Different cloud like Azure, AWS and Google and their respective AI components AWS Lex knowledge is advantage. Involvement in all aspects of the software development life cycle, from requirements gathering to testing and deployment. Testing applications thoroughly before deployment in order to ensure that they are free of errors. Requirements A bachelor's degree in computer science or a related field. Minimum of 3 years of professional experience in Python development. Excellent problem solving and communication abilities, in order to be able to solve complex problems that may arise during the development process. The ability to work independently as well as part of a team. Excellent communication abilities Strong organizational skills

We are seeking a skilled Model-Based Design (MBD) Engineer. The candidate will be responsible for developing and validating Battery Management System (BMS) models using MATLAB/Simulink, implementing Model-Based Design (MBD) methodologies, BMS Role.

Autosar Architect Critical experiences required to be ready for this job : Minimum 10+ years of experience in embedded Software development experience with C/C++. A minimum of 10+ experience in automotive Driver Information Domain. Lead at least 2 full project life cycle execution from start to launch with Dual micro solution based projects. Have defined and implemented Software Architecture through design tools like UML. Strong knowledge of AUTOSAR. Experience in handling interposes communication. Experience in implementing ISO 26262 safety standards. CPU Profiling, Memory analysis and optimization techniques Startup analysis Supported programs with OS like QNX/Linux Experience in ASPICE process Experience in problem solving and process improvement. Strong organizational skills, plus detail-oriented and accurate analytical skills Good Communication skills.

Design and manage vector databases for AI agent applications. Develop data pipelines for processing, storing, and retrieving AI-related data. Optimize real-time data streaming and retrieval mechanisms . Collaborate with AI engineers to fine-tune data preprocessing and training datasets . Implement ETL processes for structured and unstructured data processing. Skills Required: Expertise in vector databases (Weaviate, Pinecone, FAISS) . Proficiency in SQL, Python, Apache Spark, and Kafka . Strong understanding of real-time data processing and ETL frameworks . Experience working with AI-driven data architecture . Ability to handle large-scale datasets and optimize query performance .

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: "¢ Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Minimum of 3+ years"™ experience in the area of DFT-, ATPG, Scan Insertion, MBIST, JTAG -In depth knowledge of DFT concepts. -In depth knowledge and hands on experience in DFT(scan/mbist) insertion, ATPG pattern generation/verification, mbist verification and post silicon bring up/yield analysis -Expertise in test mode timing constraints definition, knowledge in providing timing fixes/corrective actions for timing violations. -Ability to analyze and devise new tests for new technologies/custom RAM design/RMA etc. -Expertise in scripting languages such as perl, shell, etc. -Experience in simulating test vectors. -Knowledge of equivalence check and RTL lint tool (like spyglass). -Ability to work in an international team, dynamic environment -Ability to learn and adapt to new tools and methodologies. -Ability to do multi-tasking & work on several high priority designs in parallel. -Excellent problem-solving skills

Job Description We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply. Key Responsibilities: Generative AI Development Develop and implement generative AI models using frameworks like LangChain or Llama-Index. Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. Implement Retrieval-Augmented Generation (RAG) workows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for ecient similarity searches. Work with embeddings and build solutions that leverage similarity search for personalized query resolution. Explore and process multimodal data, including image and video understanding and generation. Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. Design and implement RESTful APIs for seamless communication between systems and services. Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workows. Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code. Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workows. Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. Leverage containerization tools such as Docker for ecient and reproducible deployments. Ensure security and scalability of backend systems with adherence to industry best practices. Qualications: Essential : Strong Programming Skills: Prociency in Python and experience with backend frameworks like FastAPI, Django, or Flask. Generative AI Expertise: Knowledge of frameworks like LangChain, Llama-Index, or similar tools, with experience in prompt engineering and Retrieval-Augmented Generation (RAG). Data Management: Hands-on experience with relational databases (PostgreSQL, MySQL) and vector databases (Pinecone, Weaviate, Supabase, PGVector) for embeddings and similarity search. Machine Learning Knowledge: Familiarity with LLMs, embeddings, and multimodal AI applications involving text, images, or video. Deployment Experience: Prociency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability. Testing and Debugging: Strong skills in writing and managing unit and integration tests (e.g., Pytest), along with application debugging and performance optimization. Asynchronous Programming: Understanding of asynchronous programming concepts for handling concurrent tasks eciently. Preferred: Cloud Prociency: Familiarity with platforms like AWS, GCP, or Azure, including serverless applications and VM setups. Frontend Basics: Understanding of HTML, CSS, and optionally JavaScript frameworks like Angular or React for better collaboration with frontend teams. Observability and Monitoring: Experience with observability tools to track and evaluate LLM performance in real-time. Cutting-Edge Tech: Awareness of trends in generative AI, including multimodal AI applications and advanced agentic workows. Security Practices: Knowledge of secure coding practices and backend system hardening. Certications: Relevant certications in AI, machine learning, or cloud technologies are a plus.

Quality Engineering GenAI Platform Architect Job Profile Blend of domain expertise in Testing and Quality Engineering with experience and hands on with designing systems over Generative AI technologies for developing and operationalizing use cases across SDLC- STLC. In this role, the Architect will be responsible for formulating mechanisms to use, deploy Generative AI for multiple use case in Software Testing lifecycle. Formulate architecture patterns for building platform over Generative AI technologies that can automate- orchestrate activities for day in a life of tester. Create the designs for integrations with relevant Testing tools, DevOps pipelines for exchanging inputs and outputs from GenAI engines. Expertise in LLMs and specific libraries within LLMs with inputs ranging from text, images, media and processing them relevant business logic and produce specific outputs that align with the test flow, test tools in variety of formats- templates that is grounded to the specified context. Expertise with technology stacks like MEAN, MERN, LAMP and provide guidance, collaborate with development team of Front-end, back-end on building the platform. QE GenAi platform architect will be solely responsible and accountable for operationalizing GenAi for QE use cases with the easy to use wrapper platform for testers delivering in centralized, federated and agile ways of working. Experience in natural language processing (NLP), model optimization, Fine-tuning language models, Retrieval-Augmented Generation (RAG) techniques, context-aware generation to create comprehensive approach for use cases in testing and quality engineering leveraging the power of embeddings, groundings and vector databases. Key skills: Total experience of 7-11 years spanning across domain of Testing- Quality engineering (5+ years), Data science (2+ years) with recent technologies of Generative AI (1+ years) and Design- Architecting hands on (5+ years) Programming and Scripting:Proficiency in programming languages commonly used in AI and automation, such as Python, Java, or Ruby. Ability to write scripts for test automation and data generation. Machine Learning and AI:Understanding of generative models and their applications in testing. Knowledge of machine learning frameworks like TensorFlow or PyTorch. Data Management and Vector Database:Skills in data handling, preprocessing, and manipulation. Proficiency in managing vector databases embeddings, designing and optimizing indexing strategies, efficient retrieval. Testing and Quality Engineering:Strong background in software testing principles and methodologies. Experience in creating test plans, test cases, and executing manual and automated tests. Familiarity with various testing types, including functional, regression, performance, and security testing. Test Transformation Consulting:Awareness on understanding the current state and creating roadmap for testing transformation, typical challenges, ways of working, delivery constructs, centralized- federated models of test teams, tools & frameworks for test automation and adjacent areas, shift left, shift right Industry Domain Testing experience:Understanding of two or more industry or domain for which testing is being performed. Like Banking, Retail, Telecom, Health, Insurance,. Awareness of specific quality and compliance standards relevant to the domain. Natural Language Processing (NLP):Understanding of NLP concepts and techniques, such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis. Familiarity with NLP libraries and frameworks, such as NLTK, spaCy, or Hugging Face Transformers. Industry LLMs:experience in working with atleast two:ChatGPT, Azure OpenAI, VertexAi, Plam, Llama, Falcon, Hugging face, Sagemaker, " Model Architecture Understanding:In-depth understanding of the generic architecture of LLMs and how it processes and generates language. Fine-Tuning RAG Models using pre-trained embeddings:Skills in fine-tuning RAG models on specific datasets or domains to improve performance for testing and quality engineering tasks Contextual Grounding:Ability to ground entities in context, considering the dynamic nature of information and the evolving context. Ethical and Security, Data Privacy Considerations:Awareness of ethical considerations in AI, including bias mitigation and responsible AI practices and data privacy, security elements Industry skills: Pipeline Integration:Proficiency in integrating into existing testing and quality engineering pipelines. Problem-Solving and Analytical Skills:Ability to analyze complex systems and identify areas for improvement in testing processes. Strong problem-solving skills to address issues related to test automation and generative AI. Communication Skills:Effective communication to collaborate with cross-functional teams, including developers, QA engineers, and business stakeholders. Ability to communicate complex technical concepts to non-technical audiences. Continuous Learning:A mindset of continuous learning to stay updated on the latest advancements in AI, testing methodologies, and industry trends. Collaboration, Teamwork, Documentation, version control:Ability to work collaboratively in a team environment and contribute to a positive and productive work culture. Strong documentation skills for creating and maintaining assets and all documentation. Proficiency in using version control systems (e.g., Git) for tracking changes and managing different versions. Quality Engineering GenAI Consultant Job Profile Blend of domain expertise in Testing and Quality Engineering with experience and hands on with Generative AI technologies as well coding for automation with the key objective of developing and operationalizing use cases across SDLC- STLC. In this role, the Consultant will be responsible for mapping the STLC, activities- dependencies within STLC, identifying opportunities to brig GenAi in the loop, breaking down the problems into granular chunks, formulating outputs and reverse engineering inputs and analysis mechanisms with GenAI to augment, enhance, automate and orchestrate relevant activities for day in a life of tester and/or in Software Testing lifecycle. Prioritize the use cases for piloting groom the use cases in the client context, with technology and ways of working within the landscape and exploring use of Generative AI technologies that client has subscribed for. Formulate designs for integrations with relevant Testing tools, DevOps pipelines for exchanging inputs and outputs from GenAI engines. Expertise in LLMs and specific libraries within LLMs with inputs ranging from text, images, media and formulating the business logic, process flow and produce specific outputs that align with the test flow, test tools in variety of formats- templates that is grounded to the specified context. QE GenAi consultant will be solely responsible and accountable for identifying- enabling and operationalizing use cases with GenAi for testers with well defined inputs- outcomes and business logic for testers delivering across centralized, federated and agile ways of working. Experience in multiple LLMs and their libraries, Embeddings, Retrieval-Augmented Generation (RAG) techniques, context-aware grounded generation to create comprehensive approach for addressing use cases in testing and quality engineering. Key skills: Total experience of 7-11 years spanning across domain of Testing- Quality engineering (5+ years), Test automation- Java- selenium- python (2+ years) with recent technologies of Generative AI (1+ years) and hands on role of Test lead (5+ years) across variety of testing programs and industry domains. Programming and Scripting:Proficiency in programming languages used for Test automation, Test Automation Framework creation. Ability to write scripts for test automation and data generation and handling test dependencies like mocking. Data Management and Vector Database:Skills in data handling, preprocessing, and manipulation. Proficiency in managing vector databases embeddings, designing and optimizing indexing strategies, efficient retrieval. Testing and Quality Engineering:Strong background in software testing principles and methodologies. Experience in creating test plans, test cases, and executing manual and automated tests. Familiarity with various testing types, including functional, regression, performance, and security testing. Having handled complex test programs, integrations with CICD- DevOps pipelines" Test Transformation Consulting:Awareness on understanding the current state and creating roadmap for testing transformation, typical challenges, ways of working, delivery constructs, centralized- federated models of test teams, tools & frameworks for test automation and adjacent areas, shift left, shift right Industry Domain Testing experience:Understanding of two or more industry or domain for which testing is being performed. Like Banking, Retail, Telecom, Health, Insurance,. Awareness of specific quality and compliance standards relevant to the domain. Industry LLMs:experience in working with two or more open source / licensed:ChatGPT, Azure OpenAI, VertexAi, Plam, Llama, Falcon, Hugging face, Sagemaker, " Basic understanding of Model Architecture and how it processes and generates content. Retrieval augmented generation- RAG:Extensive experience if using RAG models on specific datasets or domains to improve and reference outcomes for testing and quality engineering tasks Contextual Grounding:Ability to ground entities in context, considering the dynamic nature of information and the evolving context. Ethical and Security, Data Privacy Considerations:Awareness of ethical considerations in AI, including bias mitigation and responsible AI practices and data privacy, security elements Industry skills: Pipeline Integration:Proficiency in integrating into existing testing and quality engineering pipelines. Problem-Solving and Analytical Skills:Ability to analyze complex systems and identify areas for improvement in testing processes. Strong problem-solving skills to address issues related to test automation and generative AI. Communication Skills:Effective communication to collaborate with cross-functional teams, including developers, QA engineers, and business stakeholders. Ability to communicate complex technical concepts to non-technical audiences. Continuous Learning:A mindset of continuous learning to stay updated on the latest advancements in AI, testing methodologies, and industry trends. Collaboration, Teamwork, Documentation, version control:Ability to work collaboratively in a team environment and contribute to a positive and productive work culture. Strong documentation skills for creating and maintaining assets and all documentation.

About The Role : Job Title:AI/ML Engineer Location: Bangalore Job Type: Full-Time Lab45 is the innovation arm of Wipro focused on building cutting edge products, platforms and solutions. We would like to harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies like Blockchain, AR/VR and Software Defined Vehicles to help our clients and customers adapt to the digital world and become more successful."" Lab45 is a visionary space developing ground-breaking solutions to foster and accelerate ideation throughout Wipro. At Lab45, teams of engineers, research analysts, and scientists come together to infuse creative ways of incubating solutions for customers that will transform the future. It is a space filled with ambition at the vanguard of far-reaching research across cutting-edge technologies. Introduction : We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities. Implement and optimize LangChain for efficient language model chaining and application. Manage and manipulate data using vector databases to enhance model performance and scalability. Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines. Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions. Write clean, manageable code and maintain proper documentation. Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration. Ensure the performance, quality, and responsiveness of applications Qualifications: Bachelors or Masters degree in Computer Science, or a related field. Proven experience (5+ years) as an Software Engineer with a focus on backend development. Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML. Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone. Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts. Excellent skills in software design, data structures, and algorithms. Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Deliver No. Performance Parameter Measure 1. Design and develop solutions Adherence to project plan/ schedule, 100% error free on boarding & implementation, throughput % 2. Quality & CSAT On-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation

Strong experience working in Automotive Ethernet, Firewall configuration, Autosar • Strong handson and Knowledge on Firewall (at least on TCAM) • Autosar BSW configuration & integration (Comm Stack) • Hands on experience on Vector tools (Davinci configurator & CANoe) • Good Knowledge on Ethernet protocol, secure boot, port mirroring concepts. • Good Familiarity with Marvell switch • Groovy scripting (or any scripting )

Role :HIL Validation Automation Engineer/Architect(Preferred) Experience:6-10 yrs Location :Bangalore ID:TechM105606 Salary :Based on Exp Note:Do not share any manual testers profiles. About The Role :: Experience in automotiveECU Hardware-in-the-Loop testing (V&V) - (EMS/TCU/VCU/MCU/BMS) Experience in usage ofHILbenches - ETAS-LABCAR/VECTOR- VT System Ability to understand the Functional/Design Requirement and develop test case specification Experience in Test Case scripting &automation using HIL automation framework ETAS LABCAR/ VT Systems or any equivalent Hands on experience on in Automation Desk - ETAS LABCAR-AUTOMATION / VECTOR CANOE,vTESTstudio/ ECU TEST Good programming and scripting skills using - CAPL/ Python/ C/ Perl Knowledge and experience in Vehicle Communication protocols CAN/LIN Experience with CAN/LIN Tools - CAN analyser / CANOE /Vehicle Spy / NeoVI / any equivalent tools Domain System experience in any of- Engine Management/ After-treatment system/ EV systems / Battery management / Motor control / Transmission Control Good to have - Plant model development & simulation for HIL closed loop testing.

We are seeking an experienced AI Engineer to join the Asset Engineering team. In this role, you will be responsible for building innovative AI-powered solutions that integrate with various systems and applications. You will also be working with the broader team to build, analyse and improve the AI solutions. You will be working primarily in one of our key solutions called the IBM Inspection Suite. The set of products enables clients to use AI to inspect parts and equipment for defects or anomalies using models such as Yolo3 that are trained in formats compatible with mobile devices (iPhones, Androids) such as CoreML and Tensorflow Lite. You will directly collaborate with the CTO of the asset and the technical team who architect, develop, enhance, and govern the asset. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Machine Learning and GenAI: Strong understanding of machine learning and GenAI concepts. Awareness of ethical implications in GenAI, including bias, fairness, and privacy Python and Data Science Libraries: Proficiency in Python and relevant data science libraries (e.g., NumPy, Pandas, scikit-learn). Practice on Graph database and Vector DB Computer Vision: Yolo, object detection, classification models. Ideally segmentation and anomaly detection Container Development: Solid hands-on experience in microservices development, Relational DB development, K8S and/or Redhat OpenShift, especially with AWS Large Language Models: Familiarity with LLMs, including their architectures, capabilities, and limitations. Skill in crafting effective prompts to guide LLMs and obtain desired outputs. Ability to handle and prepare data for analysis, including data cleaning, normalization, and feature engineering Preferred technical and professional experience Experience in converting model formats to CoreML and Tensorflow Lite Experience on PostgreSQL and Redis DB (or other service caching mechanism) AI agent/agentic workflow concepts

Design, develop, and optimize applications using Python or Go with a focus on AI and ML-driven functionalities. Work with frameworks like Langchain, Langgraph, and Langsmith to build advanced language processing solutions. Implement and manage Kubernetes operators to support scalable, distributed systems. Develop and enhance Retrieval-Augmented Generation (RAG) workflows, including optimization for performance and accuracy. Research, design, and implement Machine Learning, Deep Learning, and Neural Network models to solve complex problems. Apply advanced techniques in Natural Language Processing (NLP) to enhance system capabilities. Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and platforms. Stay updated on the latest trends in AI/ML and cloud-native technologies to ensure the use of best practices. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Hands-on experience with Langchain, Langgraph, or Langsmith frameworks. Solid understanding of Kubernetes operators and their deployment. Strong expertise in Machine Learning, Deep Learning, and Neural Networks. Proficiency in Natural Language Processing (NLP) and related libraries. Knowledge of Retrieval-Augmented Generation (RAG) workflows and optimization techniques. Familiarity with cloud-native technologies and distributed systems. Excellent problem-solving skills, a collaborative mindset, and a passion for innovation. Preferred technical and professional experience Prior experience working in AI/ML model optimization or inference pipelines. Exposure to containerization tools such as Docker and orchestration platforms like Kubernetes. Familiarity with vector databases and hybrid search solutions.

Responsibilities Lead the architecture, design and development of Processor Core Vector-Scalar Execution unit for high-performance IBM Systems. Architect and design Fixed point/Floating point/Vector/SIMD/Crypto instructions of a high performance processor CPU Develop the features, present the proposed architecture in the High level design discussions Estimate the overall effort to develop the feature. Estimate silicon area and wire usage for the feature. Develop micro-architecture, Design RTL, Collaborate with other Core units, Verification, DFT, Physical design, Timing, FW, SW teams to develop the feature Signoff the Pre-silicon Design that meets all the functional, area and timing goals Participate in post silicon lab bring-up and validation of the hardware Lead a team of engineers, guide and mentor team members, represent as Logic Design Lead in global forums. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 8 or more years of demonstrated experience in architecting and designing Execution unit of CPU Hands on experience of implementing Arithmetic/Crypto/SIMD functions Deep expertise in Out of Order, Super Scalar, Multi-Threaded Core Architecture and ISA Experience with high frequency, instruction pipeline designs At least 1 generation of Processor Core silicon bring up experience In depth understanding of industry microprocessor designs (e.g., x86, ARM, or RISC-V processor designs) Proficiency of RTL design with Verilog or VHDL Nice to haves Knowledge of instruction dispatch and load/store units Knowledge of verification principles and coverage High-level knowledge of Linux operating system Knowledge of one object oriented language and scripting language Understanding of Agile development processes Experience with DevOps design methodologies and tools Preferred technical and professional experience

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Advanced Embedded System Engineering Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Bachelor's degree in Electronics and Communication Engineering, Computer Science, or Electrical and Electronics Engineering.Minimum of 15 years of full-time education. Key Responsibilities:a. Configure communication settings for approximately 15-20 Electronic Control Units (ECUs) and 2-5 networks.b. Analyze Change Requests (CR) from ECU stakeholders and assess feasibility for implementing configuration changes.c. Implement approved changes to ECUs and networks according to CR specifications.d. Generate ECU extracts for assigned ECUs and networks.e. Stay updated with AUTOSAR concepts and protocols to ensure alignment with industry standards. Technical Experience:1. Solid understanding of AUTOSAR architecture and its modules, including Software Components (SWCs), Virtual Functional Bus (VFB) concept, Run-Time Environment (RTE), Network Management (NM), Communication (COM), Transport Protocol (TP), and Protocol Data Unit (PDU) Router.2. Proficiency in various communication protocols such as CAN, FlexRay, LIN, and Ethernet, with in-depth knowledge of at least one protocol.3. Experience working with AUTOSAR toolchains, such as Vector or Electrobit, for configuration and development tasks.4. Ability to work independently and efficiently under time-critical deadlines.5. Strong analytical skills to assess feasibility and implement changes effectively.6. Excellent communication skills to interact with ECU stakeholders and convey technical information effectively. Professional Attributes:a. Proactive and self-motivated individual capable of working independently.b. Strong problem-solving skills to address challenges in configuration changes.c. Ability to prioritize tasks and manage workload efficiently to meet project timelines.d. Adaptable to evolving requirements and willing to learn new technologies.e. Effective communication skills to collaborate with cross-functional teams and stakeholders.f. Detail-oriented approach to ensure accuracy and reliability in configuration changes. Additional Information:1. Continuous learning and updating of AUTOSAR concepts and protocols are essential for this role.2. Experience with tools such as Vector or Electrobit is preferred.3. This role requires strong analytical and communication skills to effectively manage configuration changes for ECUs and networks. Qualifications Bachelor's degree in Electronics and Communication Engineering, Computer Science, or Electrical and Electronics Engineering.Minimum of 15 years of full-time education.

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Advanced Embedded System Engineering Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BE/B.Tech in Electronics and Communication Engineering, Computer Science, or Electrical and Electronics Engineering with Automotive experience Key Responsibilities: a. Develop and test Inter-Operability Test (IOT) framework for testing various suppliers?? AUTOSAR Base SW stacks. b. Understand AUTOSAR IOT requirements and modify existing test applications accordingly. c. Execute Regression Tests for planned BSW stack releases. Technical Experience: 1. Proficiency in AUTOSAR architecture and module interactions. 2. Hands-on experience in AUTOSAR stack Integration, preferably Vector stack. 3. Good knowledge of communication protocols including CAN, FlexRay, and LIN (Ethernet is an added advantage). 4. Experience working with various microcontrollers. 5. Strong Embedded C Programming and Debugging skills. 6. Excellent testing and defect analysis capabilities. 7. Hands-on experience with Vector Tool CANoe. Professional Attributes: A. Strong problem-solving skills and attention to detail. B. Ability to work effectively both independently and within a team. C. Excellent communication and documentation skills. D. Adaptability to changing project requirements and deadlines. E. Commitment to quality and continuous improvement. Qualification BE/B.Tech in Electronics and Communication Engineering, Computer Science, or Electrical and Electronics Engineering with Automotive experience