6 Information Theory Jobs

As a Research Assistant at our organization, you will utilize your strong academic background in Mathematics, Applied Mathematics, or Mathematics and Computation to contribute to cutting-edge research projects in the field of AI and advanced technology. You will collaborate closely with our R&D team, engaging in mathematical research, algorithm development, and computational analysis. This role presents an exciting opportunity for individuals passionate about research and emerging technologies. Your responsibilities will include conducting research in Mathematics, Algorithms, and Computational Complexity, collaborating with researchers and engineers to develop mathematical models and algorithms, assisting in designing and optimizing computational systems, analyzing large datasets using statistical and numerical methods, developing machine learning algorithms, preparing research papers and technical reports, and staying updated with the latest advancements in AI, Data Science, and Computational Mathematics. Additionally, you will be expected to present research findings to internal teams and external stakeholders. To be successful in this role, you must possess a Master's degree in Mathematics, Applied Mathematics, or Mathematics and Computation. Additional certifications in AI, Machine Learning, Algorithms, or Data Structures would be advantageous. A strong academic record with a research-oriented mindset is essential. Key skills required for this position include expertise in Graph Theory, Combinatorics, Probability and Statistics, Linear Algebra, Calculus, Numerical and Functional Analysis, Computational Complexity Theory, Information Theory, and Fourier Analysis. Proficiency in Algorithms, Data Structures, Optimization, Machine Learning, and AI is also necessary. You should have a strong research aptitude, experience in research tools and methodologies, exceptional critical thinking and analytical skills, effective time management and project coordination abilities, and a commitment to ethical research practices. Excellent written and verbal communication skills are crucial for conveying complex mathematical and computational concepts effectively. In return, we offer you the opportunity to work on groundbreaking research projects in a collaborative and intellectually stimulating work environment. You will have access to career growth opportunities and mentorship within our thriving startup ecosystem, along with cutting-edge tools and technologies to support your research endeavors. This is a full-time, permanent position based in Trivandrum, Kerala, requiring a Master's degree as the minimum education qualification. Relocation or commuting to Trivandrum is necessary for this role.,

Qualcomm India Private Limited is a leading technology innovator that pushes the boundaries to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Hardware Engineer, you will be involved in planning, designing, optimizing, verifying, and testing electronic systems, circuits, mechanical systems, digital/analog/RF/optical systems, equipment and packaging, test systems, FPGA, and DSP systems to launch cutting-edge, world-class products. Collaboration with cross-functional teams is essential to develop solutions and meet performance requirements effectively. Minimum Qualifications: - Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field with 8+ years of Hardware Engineering experience OR - Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field with 7+ years of Hardware Engineering experience OR - PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field with 6+ years of Hardware Engineering experience As a design verification engineer, you will work within an Integrated Wireless Technology (IEEE 802.11) team, embedded into an ARM-based SOC infrastructure. Responsibilities include developing HW blocks, conducting design reviews, and delivering IPs to the Subsystem team for complex SoCs. You will play a critical role in the WLAN subsystem, contribute to IP design, and sign-off the core to the SOC design team. Skills/Experience: - 6-15 years of experience in Digital Design with a leading chipset company - Proficient in Wireless connectivity technologies: IEEE 802.11 a/b/g/n/ac/ax/be - Knowledge in SoC architecture, including ARM CPUs, communications peripherals, clocking, bus structures, and power management - Strong fundamentals in areas such as Wireless and Mobile communications, Information theory, Signal processing - Expertise in fixed-point implementation concepts like Truncation, Rounding, Saturation - In-depth knowledge of Digital communication engines like Demodulator, Deinterleaver, Viterbi/Turbo Decoders, Sigma-Delta modulation, FFT, etc. Qualcomm is an equal opportunity employer and is committed to providing accommodations for individuals with disabilities during the application/hiring process. Applicants can request reasonable accommodations by contacting disability-accommodations@qualcomm.com. Employees are expected to adhere to all applicable policies and procedures, including security measures regarding protection of confidential information. For more information about this role, please reach out to Qualcomm Careers.,

As a member of the AI Research team, you will drive the next wave of generative and multimodal intelligence to empower our autonomous drywall-finishing robots. Your main focus will involve turning cutting-edge vision-language and diffusion advances into robust, real-time systems that have the capability to see, reason, and act on dynamic construction sites. Your responsibilities will include researching and innovating diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation. You will be tasked with architecting and training Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that establish connections between textual work orders, CAD plans, and sensor data to achieve pixel-level understanding. Additionally, you will lead the development of auto-annotation pipelines that can scale to millions of frames and point-clouds with minimal human effort, utilizing techniques such as active learning, self-training, and synthetic data generation. Furthermore, you will be responsible for optimizing and compressing models for deployment on Jetson-class edge devices under ROS 2. The full lifecycle of the project, from problem definition to production hand-off to perception and controls teams, will be in your hands. You will also be expected to publish internal tech reports and external conference papers, as well as mentor interns and junior engineers. To qualify for this role, you should have at least 3 years of experience in deep-learning R\&D or a Ph.D./M.S. in CS, EE, Robotics, or a related field with a strong publication record. Demonstrated expertise in diffusion models and multimodal transformers/VLMs is essential, along with a proven track record of building large-scale data-centric AI workflows. Proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training is required, as well as familiarity with edge-AI runtimes and CUDA/C++ performance tuning. Joining our team will offer you the opportunity to own breakthrough technology from conception to deployment on active job-sites. You will collaborate cross-functionally with perception, controls, and product teams, and have the chance to shape an industry by introducing intelligent robots to replace dangerous and repetitive construction labor. We offer a competitive salary, equity, hardware budget, flexible hybrid work arrangements, and a culture that values deep work and rapid iteration. If you possess skills in Vision-Language Models, Vision-Language Alignment, R\&D, hold a Ph.D./M.S. in CS, EE, Robotics, and have experience with TensorRT, ONNX Runtime, and CUDA/C++, then this role might be the perfect fit for you.,

Qualcomm India Private Limited is seeking a Wireless Connectivity Modem Systems Engineer to be a part of the Engineering Group. As a Qualcomm Wireless Connectivity Modem Systems Engineer, you will play a crucial role in researching, designing, developing, verifying, validating, and commercializing wireless connectivity modem products or components within products. Your responsibilities will include implementing a multi-RAT wireless connectivity modem based on industry specifications such as Bluetooth, UWB, IEEE 802.15.4, etc. You should possess expertise in wireless connectivity specifications and be able to efficiently implement the shared resources of a multi-RAT modem. Collaboration with other functional groups is essential in developing a cost-effective, high-quality modem that meets industry and customer requirements with high performance and acceptable cost metrics. The ideal candidate should have a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with a minimum of 2 years of Systems Engineering or related work experience. Alternatively, a Master's degree with 1+ year of experience or a PhD in a related field is also acceptable. Preferred qualifications include a Master's degree or PhD in Electrical Engineering or a related field, along with 4+ years of experience in areas such as communication theory, digital signal processing, information theory, channel coding, and probability and random processes. Strong analytical and problem-solving skills are required, along with proficiency in programming languages like C/C++, Python, and/or Matlab. As a Wireless Connectivity Modem Systems Engineer, you will leverage advanced modem knowledge and design methodology to execute modem assignments. Functional analysis, system level design, collaboration with teams, and driving triage of system-level problems are among the key responsibilities. The role involves contributing new and innovative ideas for product features, presenting results of testing and debugging, and participating in design reviews and project meetings. The successful candidate is expected to have at least a Bachelor's degree and 6+ years of Systems Engineering or related work experience, or a Master's degree with 5+ years of experience, or a PhD with 4+ years of experience. The level of responsibility includes working under supervision, with decision-making that may impact beyond the immediate work group. Effective verbal and written communication skills are essential, along with the ability to influence key organizational decisions and prioritize tasks effectively. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please reach out to disability-accommodations@qualcomm.com. Qualcomm expects its employees to comply with all applicable policies and procedures, including security and confidentiality requirements. If you believe you meet the qualifications for this Wireless Connectivity Modem Systems Engineer position and would like more information, please contact Qualcomm Careers for further details.,

You will be joining a Pune-based startup as an AI Research Specialist. Your primary responsibility will involve conducting thorough research on emerging AI models, analyzing their potential integration with our system, and providing expert advice on optimizing model performance. Key Responsibilities: - Monitoring and analyzing new AI models entering the market. - Assessing the applicability of emerging models to our AI agent system. - Providing insights on model architectures, weights, biases, and training methods. - Developing and recommending fine-tuning strategies for optimal performance. - Optimizing model efficiency by determining the minimal necessary layer structure. Required Qualifications: - Holding an advanced degree in Computer Science (MS or PhD), Machine Learning, Engineering, Applied Mathematics, or related quantitative field. Candidates with backgrounds in Control Theory, Information Theory, or similar disciplines are particularly encouraged to apply. - Possessing extensive knowledge of various AI model architectures and their inner workings. - Demonstrating a strong understanding of neural network fundamentals, including weights, biases, and activation functions. - Having experience with model fine-tuning and hyperparameter optimization. - Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch). - Being familiar with state-of-the-art AI research and having the ability to quickly grasp new concepts. - Demonstrating the ability to apply systematic, logical thinking to complex problems, particularly in model optimization and efficiency. - Possessing excellent analytical and problem-solving skills. - Strong communication skills to convey complex technical concepts clearly. Preferred Skills: - Knowledge of Control Theory concepts (e.g., feedback systems, stability analysis). - Familiarity with Information Theory principles.,

You will be joining a Pune based startup as an AI Research Specialist. Your primary responsibility will involve conducting thorough research on emerging AI models, analyzing their potential integration with our system, and providing expert advice on optimizing model performance. Your key responsibilities will include monitoring and analyzing new AI models entering the market, assessing the applicability of emerging models to our AI agent system, providing insights on model architectures, weights, biases, and training methods, developing and recommending fine-tuning strategies for optimal performance, and optimizing model efficiency by determining the minimal necessary layer structure. To qualify for this role, you should have an advanced degree in Computer Science (MS or PhD), Machine Learning, Engineering, Applied Mathematics, or related quantitative field. Candidates with backgrounds in Control Theory, Information Theory, or similar disciplines are particularly encouraged to apply. You are expected to have extensive knowledge of various AI model architectures and their inner workings, a strong understanding of neural network fundamentals including weights, biases, and activation functions, experience with model fine-tuning and hyperparameter optimization, proficiency in Python and common ML frameworks such as TensorFlow and PyTorch, familiarity with state-of-the-art AI research, and the ability to quickly grasp new concepts. Additionally, you should demonstrate a systematic, logical approach to complex problems, particularly in model optimization and efficiency, possess excellent analytical and problem-solving skills, and have strong communication abilities to convey complex technical concepts clearly. Preferred skills include knowledge of Control Theory concepts such as feedback systems and stability analysis, as well as familiarity with Information Theory principles.,