252 Signal Processing Jobs - Page 7

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role 3+ years in embedded systems development Experience with hardware design and microcontrollers Experience in developing AI algorithms and deploying them on edge devices Proficiency in C/C++ and embedded programming Experience with real-time operating systems (RTOS) Knowledge of hardware interfaces (SPI, I2C, UART) Familiarity with edge computing hardware platforms Understanding of machine learning frameworks and libraries (TensorFlow, PyTorch) Your Profile Experience in optimizing AI models for low-power edge devices Knowledge of signal processing and data acquisition techniques Proficiency in Python for AI model development and integration Experience with debugging and performance profiling tools Strong problem-solving skills and ability to work in a fast-paced environment Excellent communication and teamwork abilities What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Assistant Professor (Physics) Academic Level 10 Sri Sathya Sai Institute of Higher Learning (SSSIHL) Assistant Professor (Physics) Academic Level 10 Department of Physics, Prashanti Nilayam Campus Advertisement No: SSSIHL/24-25/PHY/ACA/040 15 June 2025 Full-time (Men applicants) Salary: Basic: 57,700 + Dearness Allowance (DA) & House Rent Allowance (HRA) as per Institute rules Higher qualifications and relevant experience will be considered ESSENTIAL QUALIFICATIONS & EXPERIENCE Ph.D. in Physics (Preferred area: Lasers, Fiber Optics, Optics & Photonics) Master s degree in Physics (Specialization in Photonics preferable) Good academic performance in relevant fields from a recognized University/Institute Must have cleared UGC NET/CSIR NET/SLET/SET Proficiency in English and ability to mentor students effectively Commitment to SSSIHL s code of conduct and values-based integral education system KEY RESPONSIBILITIES Teaching and Academic Leadership Undergraduate-level fundamental Physics courses and Physics laboratory courses Postgraduate level courses in Fiber Optics, Nonlinear Optics, Ultrafast Optics, Semiconductor device physics & Technology / Embedded systems Tech. level courses like Optical Communications, Optical Networks, Optoelectronics, and Signal processing Knowledge of Programming (C / C++ / Python), automation, and basic electronics Enable experiential learning Research and Innovation Research focus in Photonics, Nonlinear Optics, Ultrafast Fiber Lasers, Laser Spectroscopy Use of Data analytics and AI in physics research in areas like (but not limited to) Optical Communications, Photonics Student Engagement and Mentorship Participation in curricular, co-curricular activities Guidance for student projects HOW TO APPLY SSSIHL/24-25/PHY/ACA/040 STEP 2 Attach your detailed resume (must include details of Ph.D. qualification, NET/SLET/SET or other national level exams passed, teaching/professional experience, roles, and responsibilities in chronological order, list of research publications published in reputed UGC CARE journals and conference presentations & proceedings, list of research projects, significant achievements/recognitions, post-docs and research students guided, Areas of expertise and courses taught at UG/PG level, and at least two references (academic and/or professional) STEP 3 Scanned copies of all certificates/documents related to your educational qualifications and professional experience Applicants desiring to apply for more than one position should submit separate applications for each. SSSIHL reserves the right to reject application forms that are incomplete and not as per specified requirements. SSSIHL reserves the right to call only the requisite number of candidates for an in-person demo and/or interview after shortlisting based on the candidate s suitability for the vacant position. There will be no personal communication with candidates other than those shortlisted for the interview. All applicants are required to ensure that all the information submitted (Resume, Annexure form,and documents) is accurate and correct for scrutiny If any application is found to contain information that is inaccurate or false either during the employment process or after the appointment of the candidate, SSSIHL reserves the right to reject the application at any stage or take stringent action on the employee as deemed suitable.

We are conducting a face-to-face interview drive in Bengaluru for the position of Flight Stability Engineer . Please note: The job location will be in Nagpur , Maharashtra, upon successful selection. Interview Details: Date: Saturday 21st June 2025 (10am to 5pm) Venue: Novotel-Bangalore Description • Seeking a highly skilled Asset Diagnostics Engineer to join our innovative team working on cutting-edge MALE class of UAV systems. The candidate will collaborate with cross-functional teams to design, develop and deploy the Self-Diagnostics tool for the critical UAV systems. Responsibilities • Develop good understanding of the critical systems in UAV and DAQ systems for these critical systems. • Collaborate with a multidisciplinary team of engineers and researchers to design, develop, and deploy self-diagnostics tools for critical systems in MALE class of UAV. • Utilize expertise in statistics, machine learning, and vibration analysis to analyze large datasets and extract actionable insights related to equipment health and performance. • Develop algorithms and models for fault detection and anomaly detection using historical and real-time sensor data. • Implement diagnostic algorithms into software applications or embedded systems for real-time monitoring and decision support. • Participate in deployments and field trials, working closely with field engineers to validate tool performance and gather feedback for continuous improvement. Qualifications • Bachelor's or Masters degree in Mechanical Engineering, Electronics Engineering, Computer Science Engineering, or a related engineering discipline. • Strong background in statistics, machine learning, condition monitoring, and signal processing applied to diagnostics applications. • Proficiency in programming languages such as Python, MATLAB, or C++ for data analysis, algorithm development, and implementation. • Experience with vibration analysis techniques and familiarity with industrial sensors and data acquisition systems. • Knowledge of ISO 17359:2018 is desirable.

Description We are seeking a skilled Instrumentation Engineer to join our team in India. The ideal candidate will have extensive experience in designing and maintaining instrumentation systems, with a strong focus on accuracy and process optimization. This role requires collaboration with various teams to ensure the highest standards of safety and compliance in instrumentation projects. Responsibilities Design, develop, and maintain instrumentation systems for various industrial applications. Calibrate and test instruments to ensure accuracy and functionality. Collaborate with cross-functional teams to optimize processes and ensure compliance with safety standards. Troubleshoot and resolve instrumentation issues in a timely manner. Prepare technical documentation and reports related to instrumentation projects. Skills and Qualifications Bachelor's degree in Instrumentation Engineering or a related field. 6-10 years of experience in instrumentation and control systems. Strong knowledge of process control and measurement techniques. Proficiency in using instrumentation software and tools, such as MATLAB, LabVIEW, or similar. Experience with PLC programming and SCADA systems. Familiarity with industry standards and regulations, including ISO and IEC standards.

We are seeking a qualified candidate with a Master's or Bachelor's degree and a minimum of 2 years of experience in signal processing, deep learning, computer vision, or related fields The candidate will be responsible for data analysis and pre-processing, statistical signal processing, algorithm development, and working with various signals and sensors Candidates must have a strong mathematical background and proficiency in C/C++/Python Candidate Qualifications: Ideal candidates must have a BE (CSE EEE, Instrumentation, Telecommunication), an ME, or M Tech degree and a minimum of 3 years of experience in signal processing in any of MEMS, image, audio, video & radar They must also have strong analytical and problem-solving skills, good knowledge of statistical signal processing concepts, and proficiency in coding using MATLAB, Embedded C/C++, or Python Required Skills: Candidates must be proficient in C/C++/Python and have experience in algorithm development, data analysis, pre-processing, and statistical signal processing They must also have a strong mathematical background and familiarity with different types of signals and sensors Added advantages include experience in design and implementation of filters or related algorithms, exposure to MEMS and its applications (acceleration/magnetic field/rotation), hands-on ML experience and expertise (Intermediate to Expert level), learning algorithms, IoT, SCM (GIT, Jenkins), and working environment (AGILE)

The Role As a Specialist Instrumentation Engineer with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. As a Senior Safety Critical Instrumentation/Reliability Specialist - Operations and Maintenance at Worley, you play a pivotal role as a subject matter expert (SME) in a specialized discipline within our global organization. Your expertise will be crucial in collaborating with end users to develop industry leading Inspection, Testing and Preventative Maintenance planning for all types of instrumented assets. You will be recognized both within and outside the organization, operating at a regional to global level. About You To be considered for this role it is envisaged you will possess the following attributes: Possesses an expert level of competency in Reliability of safety critical instrumentation and automated valve assemblies, with field experience at operating facilities. Holds a 4 or 5-year technical degree in science or engineering, or equivalent experience. Hold or willing to obtain a valid certification and or certificate in Functional Safety (IEC-61511) issued by one or more of the following programs Exida (CFSP/CFSE), ISA(SFS), T V Rheinland (FSEng), T V SUD (FSP). Brings a wealth of experience, typically 10+ years, showcasing a strong background in Operations Maintenance, preferably in the refining or petro-chemical process industries. Demonstrates advanced knowledge of regulations, codes, manufacturing standards, and industry practices, aligning with Worleys commitment to delivering sustainable change. Demonstrates a reasonable understanding of the SIS life-cyclee.g., SIL verification and calculations. SRS, FSMP, SIS maintenance procedures. Demonstrates knowledge of IEC-61511, IEC-61508, ISA TR84.00.02, ISA TR84.00.03, ISA TR96.05.01 as well other related standards and good practices.

As an Associate Machine Learning Engineer / Data Scientist, you will contribute to the advancement of research projects in artificial intelligence and machine learning. Your responsibilities will encompass areas such as large language models, image processing, and sentiment analysis. You will work collaboratively with development partners to incorporate AI research into products such as Digital Assistant and Document Capture. Essential Duties: Model Development : Assist in designing and implementing AI/ML models. Contribute to building innovative models and integrating them into existing systems. Fine-tuning Models : Support the fine-tuning of pre-trained models for specific tasks and domains. Ensure models are optimized for accuracy and efficiency. Data Clean-up : Conduct data analysis and pre-processing to ensure the quality and relevance of training datasets. Implement data cleaning techniques. Natural Language Processing (NLP) : Assist in the development of NLP tasks like sentiment analysis, text classification, and language understanding. Large Language Models (LLMs) : Work with state-of-the-art LLMs and explore their applications in various domains. Support continuous improvement and adaptation of LLMs. Research and Innovation : Stay updated with advancements in AI/ML, NLP, and LLMs. Experiment with new approaches to solve complex problems and improve methodologies. Deployment and Monitoring : Collaborate with DevOps teams to deploy AI/ML models. Implement monitoring mechanisms to track model performance. Documentation : Maintain clear documentation of AI/ML processes, models, and improvements to ensure knowledge sharing and collaboration. Basic Qualifications: Educational Background Programming and Tools Experience 1-2 years of total industry experience Minimum 6 months experience in ML Data Science Skills Problem-Solving and Analytical Skills Good oral and written communication skills. Bachelor s or Master s degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related field. Specialization or coursework in AI, ML, Statistics Probability, DL, Computer Vision, Signal Processing, or NLP/NLU is a plus. Proficiency in programming languages commonly used in AI and ML, such as Python or R querying languages like SQL. Experience in Cloud computing infrastructures like AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Experience with relevant libraries and frameworks, such as scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. This role offers a great opportunity to work with cutting-edge AI/ML technologies and contribute to innovative projects in a collaborative environment.

Company: Mercer Description: About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role Senior Computer Vision Engineer Functional Area AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent.Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks.Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.Test and refine models and systems based on real-world data and feedback.Evaluate project requirements, plan and manage the roadmap of a project.Present findings and insights in a clear and concise manner to stakeholders.Collaborate and help to integrate and deploy computer vision systems into broader product architecture.Conduct research to stay updated on emerging computer vision technologies and trends.Automate data preprocessing and annotation processes to streamline workflow efficiency.Maintain comprehensive documentation for algorithms, implementations, and evaluations.Mentor junior engineers and provide strategic guidance on project development. and skills: Proficiency in Python and knowledge of C++, Java and JS is plus.Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers.Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.Experience in evaluating computer vision models using relevant metrics and performance indicators.Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.Basic knowledge of linear algebra, calculus, and statistics.Strong critical thinking, analytical, and problem-solving skillsSelf-motivated, quick learner and strong team player with ability to work with minimal supervision. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

We are seeking a skilled Voice Biometrics Support Engineer to join our team in India. The ideal candidate will have a solid background in technical support and a passion for voice recognition technologies. Job description The job holder will be qualified as Bachelor of Engineering (Electronics and Communications) or equivalent. The ideal candidate for this role will have good leadership skills, with appropriate technical expertise Experience of at least 10 years within Telecommunication having worked on Contact Center Technologies Experience in Financial industry would be preferred Experience of at least 5 years in Voice Biometrics technologies (including Nuance) is requirement for this role Familiar with Genesys Architecture and Integration of various / multiple channels into Genesys Stability and scalability, enhancements, improvements Extensive experience of NGT and associated ecosystems including SBC, SIP, networking & voice Partner with senior business stakeholders, CC heads and other architects within HSBC / ITID to come up work a common workable solution Experience in working with global teams, especially UK / HKG Good understanding of networking topologies and their associated interconnectivity with the LAN/WAN infrastructure, Contact Centre infrastructure. Vendor communication/relationship. Experience on Genesys, Nuance, Cisco etc. Be part of a team that performs sustainable continuous improvement, identifying and removing organisational barriers affecting the team, processes and products owned Maintain an agile mind-set by adopting the practices and processes identified as being required for our domain, leveraging agile delivery methods, associated frameworks (e.g., Lean) and Bank tools (e.g., JIRA) to do this

Dear Candidate, We are seeking a Data Scientist Manager to lead a team in building advanced analytics solutions and machine learning models to support business decisions and innovation. Key Responsibilities: Guide the development of predictive models, data mining, and statistical analysis. Manage data science projects from concept to production deployment. Collaborate with stakeholders to define data-driven objectives and KPIs. Mentor junior data scientists and promote best practices in ML and AI. Ensure data governance, quality, and model explainability standards. Required Skills & Qualifications: Strong background in machine learning, statistics, and data science methodologies. Proficient in Python, R, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud-based analytics platforms (e.g., SageMaker, Azure ML). Leadership and project management experience. Advanced degree in Data Science, Computer Science, or a related field. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Education, Knowledge, Skills, Abilities and Experience Skills and abilities: Education Essential: - Good and Consistent Academic Records with Bachelor s degree in Electrical /Electronics Engineering or equivalent Desired: - Master s degree in with specialization in Digital Electronics / Power Electronics Knowledge Solid knowledge of Firmware development, Embedded C, C2000 microcontrollers. Expert in programming Microcontroller in Embedded C standard programming practices and multicore microcontroller devices. Good working knowledge of Power electronics controls like PID, Feed forward, PLL, State machine, FOC control. Working knowledge of Firmware development in Power Electronics Products like inverter, drive, DC-DC converter. Good understanding of communication protocols. Should have working knowledge Embedded C for microcontroller. Good knowledge in simulation tools like MATLAB, PSIM or equivalent Should have working experience in working resource critical and real time embedded systems. Resilient and open to feedback. Good team player. Strong Analytical skills. Passion to Succeed and eager to learn modern technologies. Strong Interpersonal skills, Self-motivated and innovative with Positive Attitude & Discipline Must have 2 to 6 Years of Experience in Firmware Design in following areas: Writing control algorithm loops for AC-DC converter or DC-DC converter or DC-AC inverter Simulation or coding experience in designing digital filters, signal processing and PID controls. Experience in writing clean and manageable C code with proper documentation. Testing and evaluating the firmware (on bench / on system/ on field) Able to understand existing code and modify as per the new requirements. Experience in board level debugging using multimeter and oscilloscope, by referring schematics. Version Control in Git or equivalent Adaptable to changing requirements and feedback. Desired experience: Experience in working on C-HIL systems like Typhoon HIL/ RTDS or equivalent. Worked on a complex firmware development project (100s of C files) Able to use communication libraries and other supporting features in the code. Experience in control algorithms for PV Inverter, UPS, Induction/Synchronous motors.

Job Summary: GalaxEye Space is seeking a highly motivated and skilled DSP Engineer to join our growing Signal Processing team. This role will be crucial for the research, design, and development of novel SAR processing algorithms, pushing the boundaries of whats possible with Earth observation data. The successful candidate will play a key role in advancing our core SAR capabilities, from raw signal to high-quality data products. Key Responsibilities: Algorithm Research Development: Conduct in-depth research into advanced radar signal processing algorithms, including but not limited to: SAR image formation algorithms MIMO Radars Clutter suppression and interference mitigation Radiometric and geometric calibration InSAR (Interferometric SAR) SAR despeckling and noise reduction Modeling and Simulation: Develop and utilize advanced simulations to model SAR sensor performance, validate algorithm concepts, and predict system behavior. Prototyping and Implementation: Rapidly prototype and implement new algorithms in software (e.g., Python, C++) for evaluation and integration into the processing pipeline. Collaboration: Work closely with the hardware engineering, mission operations, and data products teams to understand sensor characteristics, mission requirements, and downstream data product needs. Documentation: Prepare comprehensive technical documentation, including algorithm specifications, design documents, and research findings. Innovation: Stay abreast of the latest advancements in SAR signal processing, remote sensing, and related fields, and propose innovative solutions to complex challenges. Requirements Education: Masters or Ph.D. in Electrical Engineering, Signal Processing, Remote Sensing, Physics, or a closely related field. Experience: 2+ years of hands-on experience in Digital Signal Processing, with a strong emphasis on Synthetic Aperture Radar (SAR) systems and algorithms. SAR Expertise: Understanding of SAR principles, SAR image formation, and various SAR processing techniques is an added advantage. DSP Fundamentals: Strong theoretical foundation in digital signal processing, including Fourier transforms, filter design, sampling theory, and statistical signal processing. Programming Skills: Proficiency in at least one of the following: Python: Especially with libraries like NumPy, SciPy, scikit-image, Dask, etc. C++: For high-performance computing and testing Analytical Skills: Excellent problem-solving abilities and a strong analytical mindset. Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly. Benefits Fair compensation will be provided as per market standards Experience rapid growth and start-up culture Flexible Working Hours Open to explore, discuss and implement new ideas and processes Opportunity to work closely with the Founding Team at GalaxEye Get a chance to work with Advisors holding senior positions and decades of experience

Assist in design, install, test & commission S&T systems Maintain & troubleshoot signals, relays, track circuits Support OFC, IP comms & PA systems Conduct site audits & inspections Coordinate with cross-functional teams Ensure IR/RDSO compliance

We are looking for an experienced Embedded Voice & ML Applications Engineer with a strong background in embedded systems and machine learning for edge devices. The role involves developing and optimizing real-time applications for voice and ML use cases on low-power, resource-constrained platforms. Key Responsibilities : - Develop embedded software in C for voice and ML applications. - Work with RTOS (FreeRTOS) for real-time processing. - Perform board bring-up and low-level hardware interfacing. - Optimize systems for low power and performance efficiency. - Implement and port models using TensorFlow Lite Micro or PyTorch. - Debug multicore applications and integrate with NPUs. - Work with linker scripts (GCC, IAR, ARM) and embedded toolchains. - Handle DSP/ISP processing and real-time data flows. Required Skills : - 5+ years of experience in embedded development. - Strong in C programming, RTOS, and hardware-level debugging. - Experience with ML frameworks and real-time model deployment. - Good understanding of multicore systems, NPU, and signal processing. - Familiarity with embedded toolchains and linker scripts.

Dear Candidate, We are seeking an AI Software Developer to design and implement intelligent applications using machine learning, deep learning, and natural language processing. Key Responsibilities: Build, train, and deploy AI/ML models for real-world applications. Collaborate with data scientists to convert models into production-ready APIs. Optimize models for performance, scalability, and latency. Integrate AI capabilities into enterprise systems or consumer products. Monitor model performance and update based on new data. Required Skills & Qualifications: Proficiency in Python and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AI/ML deployment (e.g., Docker, FastAPI, AWS SageMaker). Knowledge of computer vision, NLP, or recommendation systems. Familiarity with MLOps practices and version control for models. Strong problem-solving and data structure knowledge. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

Do you have a passion for invention and self-challengeDo you thrive on pushing the limits of what s considered feasibleAs part of an extraordinary modem team, you ll craft sophisticated leading-edge embedded firmware that deliver more performance in our products than ever before. You ll work across subject areas to transform improved hardware elements into a single, integrated design. Join us, and you ll help us innovate new wireless systems technologies that continually outperform the previous iterations! By collaborating with other product development groups across Apple, you ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world!As a Cellular 5G/4G Firmware Verification Engineer, you will be at the center of the embedded 5G/4G multimode cellular firmware effort within a silicon design group responsible for crafting and productizing state-of-the-art cellular SoCs. This position requires someone comfortable with all aspects of embedded firmware verification, that thrives in a dynamic multi-functional organization, is not afraid to debate ideas openly, and is flexible enough to pivot on constantly evolving requirements. Description We work with a team of component validation, integration, protocol test engineers, firmware developers and system engineers to create firmware verification test cases and end to end physical layer performance - Design and develop validation frameworks for the 4G/5G firmware. Also, design, develop, and execute test cases for the 4G/5G firmware and debug and analyze issues found during the testing - Create test automation of 4G/5G UEs, test simulators and test gNodeBs.Verify key protocol, signal processing and numerical algorithms with very tight time, latency and energy budgets. Work with Systems / Firmware teams to perform validation of new and existing features.We are looking for candidates who can assist in the development of pre-silicon emulation systems/virtual platforms and use them for pre-silicon firmware design and HW verification. Also, evaluate and implement cutting edge tools for build, formal verification and test. In-depth understanding of 5G and 4G 3GPP physical layer and protocol stack procedures and configurations Experience with firmware test case planning, design, and development for the 4G/5G functional and performance scenarios Strong understanding of automation tools and scripting languages, such as Python, C/C++, Java (a plus) Solid understanding of multiple 4G/5G signalling and physical layer test equipment (Keysight/Anritsu/RS) along with their automation interfaces Preferred Qualifications Bachelors degree in Electrical Engineering, Computer Science or related experience is required Strong analysis and debugging capabilities to be able to define issues and work with firmware development and systems design teams to close these issues Deep understanding of software engineering principles, and core computer science fundamentals Fundamental facility with build and source code control tools Versatile to learn new architecture, frameworks and experience with network emulators, silicon prototyping, emulation systems, and virtual platforms a plus

Technical Support Engineer Department: Operations Reports to: Engineering Support Manager - US The Support Engineer is responsible for the processes that prepare, configure, and optimize Rhythm Engineering products. The Support Engineer will work in coordination with all stakeholders to manage traffic coordination quality, efficiency, and consistency. The role has overall responsibility for completing assigned tasks in support of our products, maintaining high standards of quality, consistency, accountability, and efficiency, and maintaining deliverables throughout execution. Support Engineers may be recognized as Senior (having attained accountability as a multiple subject matter expert) or as a Lead (having responsibility over the team results). Organization Accountabilities - Partner Support Prioritize & assign incoming tasks Provide Remote Technical Support to partners and clients Escalate unresolved hardware and software problems per established processes Assess resolutions of configuration support cases for competency and quality Organize all support deliverables in shared drive per process; Manage hand-off of completed projects and associated client relationships to the support team Host effective meetings for training Rhythm teammates and external partners and clients Participate in rotated all-hours support phone assignment (on-call) Keep all CRM and communication tools updated with actions and milestones Log all time spent on support cases to CRM for billing/reporting Organize all support deliverables in shared drive per process Essential Functions: Independently apply knowledge of principles and practices in broad areas of assignments and related fields. Work on support cases of moderate scope with complex features. Independently evaluate, select, and adapt standard techniques, procedures, and criteria. Acquire general knowledge of principles and practices of related fields, and ability to function on multidisciplinary teams. Work on multiple projects of moderate size or portions of major projects. Analyse data including traffic volume counts, intersection spacing, and signal properties to come up with adaptive system configurations. Monitor traffic during the initial deployment stage. Use monitoring tools to observe real-time traffic flow and conditions. Daily interaction with clients to discuss past, current, and future projects involving troubleshooting, project design, and project proposals. Support field personnel and/or clients if issues arise. Generate Before and After traffic studies. Develop proficiency and conduct processes associated with new and developing Rhythm Engineering products and services. Work as a functional member of multiple teams: Engineering team, Operations team, and Rhythm Engineering team; Leads training of Support Engineers. Review completed support documents for conformity and quality assurance. Develop new techniques and/or improved processes, materials, or products. Competencies: Strong oral and written communication skills Critical thinking and problem solving Confident and competent decision-making capabilities Adaptability Time Management and task prioritization Exceptional organizational skills, detail-oriented & process-driven Preferred Qualifications: Graduate or Post Graduate from an Engineering or Technology Background Particularly from Traffic / Transportation Engineering or Civil Work Timings and Shifts: Early Morning Shift: Starts at 3:30 AM Mid Shift: Starts at 10:30 Am Night Shift: Starts at 6:30 PM Twice a week in a month, there is a requirement to work the night shift. All shifts are within a 9-hour span, and we follow a rotational shift pattern. Other Key Details: Work Mode: Fully remote Work from Home Training: A structured training program will be provided for the initial 3 to 4 weeks. Onboarding: Candidates will undergo assessments during training. Upon successful completion, they will be assigned to live projects. Compensation: CTC in the range of 5 to 8 LPA, based on candidate performance and experience. Additional Benefits: Shift allowances, internet reimbursement, and comprehensive health insurance coverage are there apart from the above mentioned CTC.

Title of the Project : EEG-based investigation of the fundamental frequency coding for source segregation in elderly normal-hearing adults. Qualification : First division Master's Degree in Electronics and Communication Engineering or equivalent with specialization in Signal Processing or B.Tech. in ECE/EIE/EEE/ETC from a recognized University or equivalent. Desirable: GATE/NET qualified; however, non-GATE/NET candidates are also encouraged to apply. Describe if any Candidates must have strong knowledge of Signal Processing and MATLAB software. Additionally, knowledge of Deep Neural Networks will be given more preference. The candidate will acquire the neural representations of speech signals using the EEG device from human subjects (younger and older subjects), apply signal processing techniques to these neural representations to test the hypotheses, and will be responsible for writing project reports, papers, and coordinating project activities. Stipend : 31,000/- (for starting 6 months) and 35,000 (last year) per month for GATE/NET-qualified candidates. Sponsoring Agency : DST-SERB, Government of India. Duration : 1.5 years Principal Investigator

The Role As an Electrical Engineer with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. Deliver electrical engineering services that meet Worley, its customers and applicable statutory and regulatory specifications, on time and within budget. Initiate, manage and if required supervise electrical engineering project requirements. Perform electrical engineering services such as: participate in relevant meetings, prepare progress reports and follow required checking procedures; ensure the project scope is clear and that changes comply with project change management processes; provide assistance and advice during procurement, construction and commissioning activities. For example, write requisitions, conduct technical bid evaluations and write purchase orders. If required, act as the electrical engineering Lead on specific projects. If responsible for a team: outline project requirements including actively promoting workshare, where appropriate, assign tasks and supervise progress;and ensure the required services meet Worley,its customers and applicable statutory and regulatory requirements, on time and within budget. Proactively resolve any discrepancies between Worley and its Customers requirements. Keep up-to-date with the latest developments and technical innovations in electrical engineering. If required, assist and support junior personnel within the electrical engineering team. Communicate effectively with the electrical engineering team and project stakeholders, including the Customer. Identify issues and problems, develop appropriate solutions, and ask for assistance when required. About You To be considered for this role it is envisaged you will possess the following attributes: A recognized and relevant engineering degree is required. Technical and Industry experience required is 12 years. Chartered Professional Engineer (CPEng) status is preferred. Relevant postgraduate qualifications in engineering, management, project management or supervisory qualifications or equivalent is preferred. Highly effective technical and practical engineering skills and ability to consistently deliver quality, accurate and timely work to Worley and its customers. A sound knowledge of the fundamental requirements of the electrical engineering, and the basic requirements of other engineering fields. A sound knowledge of applicable local and international standards and statutory and regulatory requirements. Competent use of electrical engineering specific software. Competent use of relevant software such as MS Office Suite. Substantial technical land practical experience in electrical engineering in the same or similar industry including experience in working in multi-disciplinary projects and teams.

The Role As a Specialist Instrumentation Engineer with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. As a Senior Safety Critical Instrumentation/Reliability Specialist - Operations and Maintenance at Worley, you play a pivotal role as a subject matter expert (SME) in a specialized discipline within our global organization. Your expertise will be crucial in collaborating with end users to develop industry leading Inspection, Testing and Preventative Maintenance planning for all types of instrumented assets. You will be recognized both within and outside the organization, operating at a regional to global level. About You To be considered for this role it is envisaged you will possess the following attributes: Possesses an expert level of competency in Reliability of safety critical instrumentation and automated valve assemblies, with field experience at operating facilities. Holds a 4 or 5-year technical degree in science or engineering, or equivalent experience. Hold or willing to obtain a valid certification and or certificate in Functional Safety (IEC-61511) issued by one or more of the following programs Exida (CFSP/CFSE), ISA(SFS), T V Rheinland (FSEng), T V SUD (FSP). Brings a wealth of experience, typically 10+ years, showcasing a strong background in Operations Maintenance, preferably in the refining or petro-chemical process industries. Demonstrates advanced knowledge of regulations, codes, manufacturing standards, and industry practices, aligning with Worleys commitment to delivering sustainable change. Demonstrates a reasonable understanding of the SIS life-cyclee.g., SIL verification and calculations. SRS, FSMP, SIS maintenance procedures. Demonstrates knowledge of IEC-61511, IEC-61508, ISA TR84.00.02, ISA TR84.00.03, ISA TR96.05.01 as well other related standards and good practices.

As an Electrical Engineer with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience. Deliver electrical engineering services that meet Worley, its customers and applicable statutory and regulatory specifications, on time and within budget. Perform electrical engineering services such as: identify and report changes to project scope; Assist with the preparation of proposals, estimates, budgets and schedules. Contribute to appropriate studies, analyses and recommend actions. Assist with the preparation of detailed designs and drawings, specifications, data, calculations and reports. Keep up-to-date with the latest developments and technical innovations in electrical engineering. If required, assist and support junior personnel within the electrical engineering team. Communicate effectively with the electrical engineering team and project stakeholders, including the Customer. Identify issues and problems, develop appropriate solutions, and ask for assistance when required. About You To be considered for this role it is envisaged you will possess the following attributes: 7 to 12 yrs of experience in electrical designing in oil and gas industry. A dedication to client satisfaction A recognized Diploma in the relevant engineering discipline or equivalent. Career Advancement: We offer clear and structured career paths to help you achieve your professional aspirations. Join a fun and inclusive team of professionals. Attractive Compensation and Benefits: Our competitive salary and comprehensive benefits package are designed to reward and motivate our employees.

Applications are invited for the Post of Junior Research Fellowship (JRF) for the DST_SERB Funded Project in the School of Electronics Engineering (SENSE), FILENO. CRG/2023/005678, Vellore Institute of Technology (VIT). Title of the Project : EEG-based investigation of the fundamental frequency coding for source segregation in elderly normal-hearing adults. Qualification : First division Master's Degree in Electronics and Communication Engineering or equivalent with specialization in Signal Processing or B.Tech. in ECE/EIE/EEE/ETC from a recognized University or equivalent. Desirable: GATE/NET qualified; however, non-GATE/NET candidates are also encouraged to apply. Describe if any Candidates must have strong knowledge of Signal Processing and MATLAB software. Additionally, knowledge of Deep Neural Networks will be given more preference. The candidate will acquire the neural representations of speech signals using the EEG device from human subjects (younger and older subjects), apply signal processing techniques to these neural representations to test the hypotheses, and will be responsible for writing project reports, papers, and coordinating project activities. Stipend : 31,000/- (for starting 6 months) and 35,000 (last year) per month for GATE/NET-qualified candidates . Sponsoring Agency : DST-SERB, Government of India. Duration : 1.5 years Principal Investigator : Dr. Anantha Krishna Chintanpalli , Professor in Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore - 632 014, Tamil Nadu. Co-Principal Investigator : Dr. R. Sivakumar Professor in Sensor and Biomedical Technology School of Electronics Engineering Vellore Institute of Technology (VIT) Vellore - 632 014, Tamil Nadu. Send your CV along with relevant documents about the details of qualifications, scientific accomplishments, experience (if any), and the latest passport-size photo on or before 20/06/2025. Apply online http://careers.vit.ac.in. No TA and DA will be paid for appearing in the interview. Shortlisted candidates will be called for an interview at a later date, which will be intimated by email. Candidates will be shortlisted based on their merit and as per the requirements of the project. The selected candidate will be expected to join on or before 1st August 2025. The selected candidate may be permitted to register for the PhD program of VIT Vellore subject to fulfilling the requirements of the PhD qualification process as per the institute norms.

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures todays innovators stay Ahead of Whats Possible . Learn more at www.analog.com and on LinkedIn and Twitter (X) . Job Description: Analog Devices Automotive group is seeking a highly motivated individual with a strong blend of embedded systems knowledge, hardware/software development skills, EMI/EMC expertise, excellent communication abilities, and a willingness to work in a dynamic environment. This role involves collaborating with teams to facilitate product adoption at Automotive OEMs. Roles & Responsibilities: Create reference designs and customize software/hardware solutions to meet customer-specific requirements for ADI Connectivity Products. Conduct system-level validation by developing necessary hardware/software and performing EMI/EMC pre-compliance tests. Validate functional and system-level performance, ensuring compliance for proprietary serial interfaces. Engage with T1/OEMs (onsite/offsite) to address technical challenges in automotive connectivity products and expedite their transition to production. Develop technical articles, demo platforms, and provide training to customers and ADI sales/support teams. Serve as a vital link between the customer base and ADI product development teams, providing inputs for next-generation products. Understand system-level needs for targeted market/application spaces and collaborate with stakeholders on new product definition and execution. Develop drivers and application code for ADI Connectivity Products. Qualifications & Requirements: Masters/bachelor s degree in electrical/electronic engineering with 2-4 years of experience in the semiconductor industry, preferably in the automotive systems domain. Mandatory experience in C programming. Hands-on experience in bench and system-level validation for silicon validation preferably for a Microcontroller or DSP. Strong knowledge in electronics engineering and familiarity with industry-standard protocols like I2C, I2S, SPI, UART. Hands-on experience in automotive EMI/EMC testing or knowledge of EMI/EMC tests is an added advantage. Experience in automotive ethernet, signal processing algorithm implementation and optimization on processors and connectivity interfaces is a plus. Strong teamwork, interpersonal, and communication skills are essential. Good organizational skills and the ability to multi-task projects/customer activities and set priorities. Highly motivated, innovative, and positive attitude. Willingness to travel domestically or internationally (10% - 15%).

Sr. Systems Engineer WiFi / BT in Bangalore, India Sr. Systems Engineer WiFi / BT Description Synaptics is leading the charge in AI at the Edge, bringing AI closer to end users and transforming how we engage with intelligent connected devices, whether at home, at work, or on the move. As the go-to partner for the world s most forward-thinking product innovators, Synaptics powers the future with its cutting-edge Synaptics Astra AI-Native embedded compute, Veros wireless connectivity, and multimodal sensing solutions. We re making the digital experience smarter, faster, more intuitive, secure, and seamless. From touch, display, and biometrics to AI-driven wireless connectivity, video, vision, audio, speech, and security processing, Synaptics is the force behind the next generation of technology enhancing how we live, work, and play. Synaptics is looking for a well-qualified Senior Systems Engineer to join our dynamic and growing organization. You will be responsible for developing and driving new technologies working on the PHY algorithm development, system integration, and working with RF/CHIP/SW team in validating and optimizing overall performance of connectivity chips. This position reports to the Director, R&D. Responsibilities & Competencies Job Duties Design and develop new algorithms in connectivity Function as an individual contributor in the systems design team Develop connectivity PHY baseband algorithms Innovate and develop new features in wireless system that enhance system performance or reduce cost and die-size Partner closely with RF and ASIC and SW teams to implement algorithms in the Hardware/Firmware Work closely with internal teams (RF, Software, Algorithm, Chip, AE/FAE, marketing) for productizing WLAN&BT Combo chip for Home IOT and Automotive markets Competencies Strong research and development background Track record of taping out multiple chips Proactive, self-starter, able to work independently in a fast-paced environment Well organized with strong attention to detail; proactively ensures work is accurate Positive attitude and work ethic; unafraid to ask questions and explore new ideas Resourceful analytical thinker, able to solve complex problems through practical use of technology and a solid understanding of product architecture Excellent verbal and written communication skills to effectively convey complex technical concepts to customers and internal teams Strong team player with the ability to work collaboratively within a diverse cross-functional team Qualifications (Requirements) Bachelor s degree in Electrical Engineering with emphasis on Communication Engineering or Signal Processing or a related field or equivalent 5+ years of experience in a system engineer or similar technical role focused on hardware development At least 2 years experience in design and delivery of communication algorithms for the wireless PHY layer protocols such as 802.11 a/b/g/n/ac/ax/be, or cellular technologies (3G/4G/5G) or other wireless technologies Strong inter-personal skills Belief in Diversity Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: 2-4 years of experiences in image processing/computer vision/camera domain. Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.) Strong hands on experience on developing object detection, tracking or face detection algorithms. Strong background in image and signal processing, statistics, and data analysis. Developing machine learning algorithms for advanced imaging features Strong programming skills and working experience in C/C++\ assembly programming skills, multithreading and RTOS/OS concepts\fundamentals and Python. Strong debugging skills to debug complex system level issues. Collaborate with cross-functional teams to design, implement and debug camera\multimedia features for mobiles. Good analytical and problem-solving skills. Responsibilities: Development and productize camera essential features on Qualcomm chipsets for mobile Influence camera HW architecture in Qualcomm chipsets Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Customer interaction to commercialize Qualcomm camera solutions. Individual contributions and working with cross functional teams on camera essential features design/planning/execution/commercialization for future Snapdragon chipsets Education requirements: RequiredBachelor's/Masters/PHd Computer Engineering and/or Electrical / Electronic Engineering Preferred Masters Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.