390 System Engineering Jobs - Page 5

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking a systems architect who will drive the next-generation technologies and architecture, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. Responsibilities: Your responsibilities will span across technical leadership, system architecture, software architecture, implementation and compute analysis. Here are the key aspects of your role: Drive technical workstreams related to perception, reprojection, split-processing and other XR technologies. Identify and deeply understand the use cases for AR/VR/MR applications. Collaborate with cross-functional teams to translate use case requirements into detailed implementation specifications. Define system and software architecture, considering hardware/software tradeoffs, compute and memory constraints. Optimize compute workload distribution across different subsystems on the SoC for efficient performance and power. Validate and optimize architecture definitions through system-level use case modeling. Prototype new use cases to understand the compute and memory requirements, and influence future software/hardware features and reference device specification. Minimum Qualifications: 9+ years of experience in systems engineering with a bachelors degree in electrical engineering, information systems, computer science, or related field. Hands-on experience in defining systems architecture and software design for multi-core architectures (CPUs, GPUs, DSPs, etc.), including performance analysis on heterogeneous architectures (core, multi-level cache, memory, etc.). Proficiency in documenting call flows and data flows for both software and hardware components. Strong communication skills and ability to work effectively in a team. Preferred Qualifications: 8+ years of experience in systems engineering with masters and/or PhD degree in electrical engineering, information systems, computer science. Proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, graphics pipeline, hardware design, SoC architecture, HW/SW partitioning, and system modeling (power, performance). Proficiency in C++, and Object-Oriented SW design Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Highly skilled SystemC Modeling Engineer is required to join dynamic and innovative NoC Systems team in Qualcomm Bangalore Design Center. The ideal candidate will have a strong background in digital design and a deep understanding of SystemC for hardware modeling and simulation. This role involves developing and maintaining high-quality SystemC models for complex digital systems, collaborating with cross-functional teams, and ensuring that Qualcomm products meet the highest standards of performance and reliability. Key Responsibilities: Model Development: Design and implementation of SystemC models for digital systems, including processors, memory controllers, and peripheral interfaces. Methodology Awareness of Virtual prototypes and Performance modeling using C++/SystemC/TLM 2.0. Approximately timed and Loosely Timed(LT) style of coding for software development when using Virtual Prototype Verification: Development and executution of testbenches to verify the correctness and performance of SystemC models. Optimization: Optimization of models for simulation speed and resource efficiency. Documentation: Creation and maintenance of detailed documentation for models, testbenches, and verification plans. Collaboration: Work closely with hardware and software engineers to ensure seamless integration of SystemC models into the overall system design. Troubleshooting: Identify and resolve issues in the modeling and simulation process. Research: Stay updated with the latest advancements in SystemC and digital design techniques. Technical Skills Proficient in SystemC and C++. Strong understanding of digital design principles and techniques. Experience with hardware description languages (HDLs) such as Verilog is a plus. Familiarity with simulation tools and environments is a plus. Soft Skills Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and in a team environment. Attention to detail and a commitment to quality. Preferred Skills Experience with Network-on-chip, high-performance computing and parallel processing. Knowledge of ASIC design. Familiarity with scripting languages (e.g., Python, Perl). Experience with version control systems (e.g., Git). Qualifications: Education: Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field. Experience: 5 to 10 years of experience in digital design and SystemC modeling. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: In this position you will join the team responsible for the security architecture of Qualcomm Snapdragon processors. The team works at a system level spanning across hardware, software and infrastructure while striving for industry-leading solutions. This team interacts with product management, customers (e.g., OEMs), partners, HW/SW engineering, and Services engineering teams to find the optimal Security solution. Snapdragon processors are utilized in a variety of devices, including mobile phones, laptops, automotive systems, and data centers, each with distinct security needs. These processors are engineered to address most of these requirements, encompassing a wide range of security technologies found in consumer electronics, such as Root of Trust, Integrated Secure Element, Virtualization, and Confidential Compute. Minimum Qualifications 10+ years industry experience in SoC Security encompassing both architecture and design 5+ years industry experience in Compute and/or Data Centre SoC Architecture Demonstrated expertise in Security Technologies (Root of Trust, TEE, Access Control, I/O Security) Proficient in Confidential Compute Architecture (RME, TDX, SEV-SNP, TDISP) Strong understanding of Security Software Architecture for Compute and Data Centers, with a focus on Secure Boot. Skilled in HW/SW threat analysis Strong capabilities in creating and presenting architecture-level documentation. Preferred Qualifications Proficient in isolation-related extensions, including TrustZone, Virtualization, and RME. Extensive knowledge of Server Platform security architecture covering lifecycle/debug management, provisioning, attestation/measurement. Expertise in Applied Cryptography and Protocols. Knowledgeable about Security Certification Processes and (such as OCP) Excellent communication and teamwork skills. Leadership and management experience at the project level Key Responsibilities Establish system security requirements (both hardware and software) for Server SoC focusing on functionality, performance, and security levels. Specify and review the architecture and implementation of System/SoC level security mechanisms. Conduct platform security threat analysis. Perform competitive analysis of security systems and features Explore future and roadmap server security-related technologies. Serve as the technical interface to product management and standards teams. Minimum Qualifications: Bachelors degree in engineering, Computer Science, or related field and 8+ years of Security Engineering or related work experience. ORMasters degree in engineering, Computer Science, or related field and 7+ years of Security Engineering or related work experience.ORPhD in Engineering, Computer Science, or related field and 6+ years of Security Engineering or related work experience. Note References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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 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. We are seeking engineers with experience in system and SoC level automotive cybersecurity concepts and implementations and knowledge of the ISO21434 cyber security standards and process. This position will be a hands-on role in defining and contributing to the architecture for the current cyber security hardware development to meet ISO 21434 standards working with various stakeholders in the Systems/Security Architecture/IP & SoC design teams. Responsibilities shall include the following Overall responsibility of automotive cybersecurity architecture of the Automotive SoCs. Work with Product Marketing, system/SW security architects and IP security architects to deliver the security architecture of the SoC which addresses the security use case at the System level. Overall responsibility of product auto cybersecurity technical concept, hardware security requirements, cybersecurity architecture specification, review of security requirements for applicable subsystems Perform TARA (Threat Analysis & Risk Assessment) Review and approve TARA at subsystem/IP level Review implementation and verification of cybersecurity vulnerability analysis for applicable subsystems Coordinate technical issues related to cybersecurity with all applicable subsystems, all SoC domains. Work with functional safety architect and ensure there are no conflicting requirements between safety and security. Work closely with SoC and IP design teams, 3rd party IP vendors to review the design implementations and ensure meeting the architecture goals. Maintain a strong knowledge of Automotive cybersecurity best practices. Influence internal stakeholders with actionable data to ensure gaps to expectations are closed in a timely fashion. Establish and maintain healthy relationships with influential/decision making on cyber security throughout the organization. Work in a highly matrixed environment. This role frequently requires working with others to fulfill job responsibilities without direct authority. Minimum Bachelor's degree in Electrical or Electronics Engineering, Computer Science, or related field. 8+ years in roles on Systems Engineering / SoC Architecture / Security IP Architecture and design. Minimum 5+ years experience in architecture and design of Security IP/Cores or system level Security Architecture. Has knowledge of cyber security-based product development flow and validation. Experience with ISO 21434 Cyber security standards. Has led Cybersecurity implementation in SOC/Cores/IP. Hands-on experience with automotive Cybersecurity ISO 21434 standard spec and implementation. Structured problem-solving capability and ability to work with teams on root cause analyses. Excellent verbal/written communication, interpersonal skills, and presentation skills Preferred Qualifications 5+ years Automotive cybersecurity experience and familiarity with Security work products Familiarity with ISO 26262 Automotive Functional Safety standards is a plus Relevant Cybersecurity Certification is desired

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. You will be part of Automotive System Performance team that is responsible for optimizing the Multimedia performance on Snapdragon Automotive chipsets. The Candidate should have at least 6-8 years of experience on Multimedia technologies comprising of Camera, Video, Graphics, and Display technologies. The candidate should be proficient in Android/Linux kernel fundamentals, Debug tools, fundamentals of interconnects, System QoS, Bus protocols and performance Monitoring. The Candidate should have the following requirements At least 6-8 years of embedded domain experience in Multimedia Hardware architecture and device driver development. Proficient in hardware fundamentals of display/Video/Camera basics, DDR, SMMU, NOC and system interconnects, AXI/AHB Bus protocols and hardware Performance Monitoring systems. Good understanding of Auto/Mobile SoC architectures and Multimedia Subsystems hardware data flows. Basics of Arm processor architecture, Multicore/Multiprocessor with SMP/heterogenous cores. Expertise in C programming language on an embedded platform is a must. Operating systems/RTOS/Linux kernel internals, scheduling policies, locking mechanism, MMU/paging etc. Prior working experience in IP hardware functional and performance validation in silicon and or emulation, preferably in Multimedia domain viz. camera, Video, Display, GPU and Audio. Familiar with Android System tools, Debug tools, JTAG, scripting etc. \ Passion in debugging system level issues, working with teams across geographies and partnering with cross functional teams towards meeting project milestones. Exposure to working on emulation/pre-si environment is added advantage. Responsibilities The candidate is expected to assume all responsibilities towards project execution. With good understanding of SoC Multimedia cores, candidate should be able to support activities related to System use cases profiling and optimization. The candidate will be responsible for understanding the HW setups in the lab and carrying out the performance tests. Education RequiredBachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering PreferredMaster's, Computer Engineering and/or Computer Science and/or Electrical Engineering

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities The job responsibilities may include a subset of the following Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM) o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

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 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. Experience in micro architecture and requirements/implementation for automotive designs (focused on functional safety) and their Safety Analysis work products like concept FMEDA, DFA, DFMEA, FTA, FMEDA, etc. including FuSa compliant IP development and third-party IP compliance/deliverables/DIA. Responsibilities shall include the following Developing a system level safety concepts and requirements for ADAS and IVI use cases with customer implementations in mind and to integrate Qualcomms hardware in leading Automotive OEM and Tier 1 safety critical systems. Work in collaboration with 3rd party, Customer, and Automotive Stack suppliers, Hardware component suppliers (PMIC, DRAM, Sensor, etc) to ensure all aligned customer system level requirements are met Work with IP and SoC teams on the implementation of Technical Safety Concepts (TSCs) on Qualcomms Snapdragon automotive hardware. Work with various technology teams on architectural features that would enable targeted safety levels (ASIL B to ASIL D, depending upon the technology team and system level requirements) to meet customer targets Conducting safety analyses, both quantitative and qualitative, fault campaigns on automotive hardware designs and identify areas of improvement. Responsibilities will include leading functional safety related activities for SoC development and ensure ISO 26262 compliance with respect to SoC architecture, development processes and work products. Work closely with SoC Design and IP teams, Software team, Quality teams, the functional safety manager(s) as well as customers to ensure the functional safety process is executed and documented. Working with vendors and partners to ensure functional safety requirements are fulfilled by the components that they provide Work with internal and external functional safety assessors to ensure compliance with ISO 26262 Create functional safety collateral for customers viz. Functional Safety Manual, Safety Analyses Reports, dedicated application notes etc. Supporting customer assessments of our safety features and recommending HW and SW based solutions that meet overall system targets. Working closely with customers and supporting them on various functional safety related aspects Minimum Qualifications Bachelors degree in engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering, SoC Integration, Verification, or related work experience. Collaborative work experience with good communication skills involving customers, vendors, and internal development teams. Structured problem-solving capability and ability to work with teams on root cause analyses. Preferred Qualifications 5+ years Automotive experience and familiarity with Safety work products, experience with Functional Safety Hardware and/or Software development in semiconductor industry meeting IS0 26262/ IEC 61508 standards. Prior automotive experience in ADAS and self-driving systems preferred. System level Functional safety analysis experience on Hardware/Software components integration preferred SoC/IP integration or verification with good understanding of SoC Architecture and IP design experience preferred Management Tools and establishing traceability for functional safety requirements e.g. DOORS, etc. Familiarity with Failure Modes and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) is required experience using tools to perform FMEA, FTA preferred Familiarity with hardware failure rate calculation (FMEDA) experience using Siemens 29500 and/or IEC 62380 preferred Relevant Safety Certification is desired e.g. CFSE, CFSP

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Job Overview Work with Qualcomm's security architecture / IP and access control team on next generation SOC for smartphone, tablet, automotive and IOT product categories. is responsible for assisting product development teams throughout the company to apply secure HW design principles to individual blocks, computing cores, and at the SoC level. SW/HW co-design, HW development experience. Familiarity with debug architectures such as JTAG and ARM coresight are a plus Successful candidates will be able to engage with product teams independently with minimal supervision to detect and mitigate security vulnerabilities in hardware architecture and implementations, involve in access control issues at both SW and HW. Minimum Qualifications 5 to 7+ years of industry or academic experience in Security are required. Additionally,

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 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. Preferred Qualifications: Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 8+ years of Hardware Engineering or related work experience. 2+ years of experience with circuit design (e.g., digital, analog, RF). 2+ years of experience utilizing schematic capture and circuit simulation software. 2+ years of experience with hardware design and measurement instruments such as oscilloscopes, spectrum analyzers, RF tools, etc. 1+ year in a technical leadership role with or without direct reports. Principal Duties and Responsibilities: Leverages advanced Hardware knowledge and experience to plan, optimize, verify, and test critical electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. Integrates complex features and functionality into hardware designs in line with proposals or roadmaps for complex products. Conducts complex simulations and analyses of designs as well as implements designs with the best power, performance, and area. Collaborates with cross-functional teams (e.g., design, verification, validation, software and systems engineering, architecture development teams, etc.) to implement new requirements and incorporate the latest test solutions in the production program to improve the yield, test time, and quality. Evaluates, characterizes, and develops the novel manufacturing of solutions for leading edge products in the most advanced processes and bring-up product to meet customer expectations and schedules. Evaluates reliability of critical materials, properties, and techniques and brings innovation, automation, and optimization to maximize productivity. Evaluates complex design features to identify potential flaws, compatibility issues, and/or compliance issues. Writes detailed technical documentation for complex Hardware projects. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Organization overview: Qualcomm is a key enabler for the XR eco-system with a dominant market share. We build custom SoCs and technologies that are at the heart of existing and emerging XR products. Qualcomm XR Systems organization is responsible for architecture definition of Qualcomms next generation XR SoCs. Our portfolio of SoC offerings serve a broad range of XR products covering Mixed Reality, Augmented Reality and AI Glass product families. The span of technologies that go into these products and SoCs include high resolution immersive displays, perception features that are bulit on computer vision and deep learning technology, highly efficient DSP processors, dedicated deep learning accelerators, graphics engines supporting high resolution and high frame rate rendering and reprojection, multimedia processing engines (audio, video, imaging,..), CPUs and SoC infrastructure that ensures efficient and secure processing, as well as very low power architecture features such as power islands and power rail isolation, sleep modes etc. We are scaling up our operations!! We are looking for engineers with background in diverse areas including architecture and micro architecture definition, design and verification of IPs and SoCs. People who have experience in areas such as SoC architecture, networks on chip, virtual memory, on-chip and off-chip memory subsystems, security architecture, CPUs, etc, also development of IPs such as camera, video, GPU, DSPs, deep learning accelerators and neural signal processors (NSP), peripherals and interfaces such as PICe, SPI etc. Also, people with strong background on pre silicon and post silicon power estimation and optimization, performance estimation, power architecture design will be highly encouraged. We have openings at senior as well as junior job levels. We are keenly interested in you if you are someone who has gained expertise in your specific domain which could be one or more of the areas mentioned above and are excited to take the next step in your career to become architects of the SoCs that will shape the future generations of XR products!! Apart from a rewarding career and growth prospects, the organization offers a unique opportunity to learn from a diverse set of experts working collaboratively under the same roof, towards a common goal. Job Overview Qualcomm's XR Systems team is seeking system architects who will work on defining the next generation SoC architectures, enabling the future of Augmented Reality / Virtual Reality / Mixed Reality applications. Responsibilities of successful candidates may span one or more of the following areas: Working with lead XR OEMs and QCs customer-facing teams to understand end to end use cases Researching the product family roadmap to align internal IP and SoC architecture roadmap Collaborating with colleagues in the architecture team and across technology, IP and SoC teams with diverse expertise Exploring architectures for power efficient and performant mapping of use cases on future SoCs and coming up with architecture proposals Defining and optimizing use case data flows Use case power modeling, estimation and optimization Working with SoC design, and validation teams to ensure that the use case power and performance KPIs are met. Minimum Qualifications Bachelors degree in Electrical Engineering, Information Systems, Computer Science, or related field, and project experience in architecture/micro-architecture Experience (1 - 10 years) in areas covering at least one of the followingIP and SOC design, DV, micro architecture, architecture, camera, video, GPU, DSP, NSP, CPU, security, NOCs and DRAM controller subsystems, power architecture and power and performance estimation and optimization. Excellent problem solving and communication skills Preferred Qualifications Masters and/or PhD degree in Electrical Engineering, Information Systems, Computer Science Experience with Mixed & Augmented reality system design, constraints, and trade-offs Deep understanding of system architecture aspects such as NOCs, DRAM controller performance issues, power domains and sleep modes of memories, IPs and cores. Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs Experience with system level modeling (performance and/or power) Proficiency in scripting languages such as python, perl, shell etc. Keywords Camera, GPU, CPU, SOC, SoC architecture, NOC, DDR subsystem, LPDDR IP, caches, security, virtual memory, development, RTL design, Computer vision, Artificial Intelligence, ML, DSP, AR, VR, MR, XR Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Job overview: Qualcomms Adreno GPU has been the industry leading mobile graphics solution in todays Android smart phone market worldwide. Our power efficient GPU solution is fundamental to enable the new exciting markets like VR/AR, IoT, AI, Autonomous driving etc. GPU compiler is a key component of graphics solution. We are looking for talented engineers to create world class GPU compiler products to enable high performance graphics and compute with low power consumption. This role is multi-disciplinary, requiring collaboration with both internal teams and customers to ensure the delivery of a high-quality Graphics Compiler. Additionally, you will be responsible for developing unit tests by writing shaders for specific scenarios, identifying potential performance enhancements, and reporting any functional issues Preferred Qualifications: Strong proficiency in C/C++ Solid knowledge of OpenGL, DirectX, or Vulkan Familiarity with 3D graphics profilers and debuggers, including RenderDoc, Pix, and NSight Understanding of rendering pipelines for modern PC and console game engines Experience with using commercial game engines such as Unreal and Unity Excellent skills in GPU performance analysis Outstanding written and verbal communication abilities Self-motivated and independent, capable of working with minimal supervision while proactively contributing to a multifunctional team Background in creating technical training materials, including frameworks, samples, tutorials, and videos Experience in developing, profiling, and optimizing contemporary rendering algorithms Keywords: C/C++ , Python, Scripting language, Test automation, Winpix, Renderdoc Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Minimum Qualifications: Bachelors degree in engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Masters degree in engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a highly experienced Network-on-Chip (NoC) Architecture and Systems Engineer to join our innovative and dynamic NoC systems team. The ideal candidate will have a deep understanding of NoC architectures, system design, and various communication protocols such as PCIe, CXL, and AMBA CHI. This role involves designing, implementing, and optimizing NoC solutions for complex SoC (System on Chip) designs, collaborating with cross-functional teams, and driving research and development initiatives to stay at the forefront of technology. Key Responsibilities: Architecture Design: Develop and optimize NoC architectures for high-performance SoC designs, including routers, interconnects, and communication protocols. Protocol Expertise: Design and implement NoC solutions that support various communication protocols such as PCIe, CXL, and AMBA CHI. System understanding: Understanding of NoC solutions for overall SoC design, ensuring seamless communication between various IP blocks and subsystems. Performance Analysis: Conduct detailed performance analysis and benchmarking of NoC designs to identify bottlenecks and areas for improvement. Collaboration: Work closely with hardware, software, and verification engineers to ensure that NoC designs meet system requirements and performance goals. Troubleshooting: Identify and resolve complex issues in NoC design and simulation. Research and Development: Stay updated with the latest advancements in NoC technology and contribute to the development of new methodologies and tools. Actively participate in research projects to explore new NoC architectures and protocols. Primary Skills Proficient in NoC design and optimization techniques. Strong understanding of digital design principles and SoC architecture. Experience with hardware description languages (HDLs) such as Verilog. Familiarity with SystemC and C++ for modeling and simulation is a plus. Knowledge of NoC simulation tools and environments is a plus (e.g., Gem5, Noxim). Experience with performance analysis and benchmarking tools. Expertise in various communication protocols such as PCIe, CXL, and AMBA CHI is a plus. Soft Skills Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and in a team environment. Attention to detail and a commitment to quality. Enthusiasm for research and innovation. Preferred Skills: Experience with Network-on-Chip, high-performance computing and parallel processing. Knowledge of ASIC design flows. Familiarity with scripting languages (e.g., Python, Perl). Experience with version control systems (e.g., Git). Background in NoC design, NoC Architecture, low-power design and optimization. Publication history in relevant technical journals or conferences. Qualifications: Education: Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field. Experience: 6 to 11 years of experience in NoC architecture and systems design. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, catering to unique requirements of XR/IoT/Automotive markets, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Research and develop video algorithms for mobile, IoT surveillance, Automotive and VR/AR applications with performance and power efficiency Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Minimum Qualifications Master's degree in Electrical or Computer Engineering or related field Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Good working experience with C/C++ Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of encoder algorithms such as motion estimation, mode decision and rate control. Experienced in visual quality trade-offs and assessments for video use-cases Experience with Video Pre & Post Processing Algorithms such as denoising, scaling is a plus Experience with Computer Vision and Deep Learning techniques as applied to Video is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We seek Systems Engineers with demonstrable knowledge and hands-on experience for ISP simulation and software prototype. The Camera Systems team creates embedded imaging solutions for Snapdragon chipsets that power advanced mobile devices. Our solutions leverage dedicated hardware, multi-core processors, DSP, and GPU cores to provide state-of-the-art photographs, video recordings, as well as scene data for image understanding and object detection. Candidate will be working on creating software end to end prototype for ISP including post processing modules Optimization of SW algorithms and fixes/update to handle complex cases Candidate need to quickly learn new hardware modules interface and create software interface layer for these modules Candidate should be able to architecture changes for HW modules and suggest improvement for IQ/Power/Performance Candidate should be able to work with software and customer teams to debug issues Should be a quick learner, adopt to new technologies and good debugging skills Should be able to work with geographically spread teams Minimum Qualifications: 0-4 years of experience in multimedia technologies Strong C/C++ programming and debugging. Good understanding/Solid knowledge of image processing/Signal processing/Video (Multimedia technologies). Knowledge or experience on of embedded systems / Android & Linux Proficiency with version control tools & code-tip maintenance. Capable of independent work within a fast-paced & collaborative environment. Preferred Qualifications Working knowledge on camera design, imaging pipeline and ISP architectures Working experience with Android Camera. Education : RequiredBachelor degree of Electrical and/or Electronics Engineering PreferredMaster degree of Electrical and/or Electronics Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems 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 Chipset Architect, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications Bachelor's degree in Electronics/Electrical Engineering or related field and 6+ years of Systems Engineering or related work experience.ORMaster's degree in Electronics/Electrical EngineeringORPhD in Engineering, Information Systems, Computer Science, or related field Preferred Qualifications Master's Degree in Engineering, Information Systems, Computer Science or related field. 6+ years of Systems Engineering or related work experience. 3+ years of 4G/5G/6G systems and associated cellular standards (e.g., 3GPP NR, LTE, LTE, 3G). 4+ years of experience working in mobile, PC, Automotive or IoT industry; Knowledge of ASIL, FUSA, FMEA, ISO 26262 or IEC 61508 Experience with full product lifecycle from requirements gathering, prototype development, production, knowledge of PCB design flow, EDA tools, electrical and thermal simulations. In depth knowledge of power delivery, PDN, component selection, tuning, PMICs, eBOM Good knowledge of interfaces (USB, PCIe, SD/eMMC, UFS, LPDDRx, eDP, CSI, DSI, SPI, I2C, UART, SPMI, Slimbus etc) Good domain knowledge of two or more functional areas of SoCs such as Application Processor, Neural processing, Display, Graphics, Camera, Video, AI, Modem (4G/5G), WLAN, Power Management etc. Working with a wide cross functional team comprising of various design and software teams, reliability, functional safety, business, sales and customer engineering Principal Duties and Responsibilities Applies Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met. Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems. Develops new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Level of Responsibility Works independently with minimum 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. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems 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 Chipset Architect, you will research, design, develop, simulate, and/or validate systems-level hardware, software, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 12+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience. Preferred Qualifications Master's Degree in Engineering, Information Systems, Computer Science or related field. 15+ years of Systems Engineering or related work experience. Expert knowledge of interfaces (USB, PCIe, SD/eMMC, UFS, LPDDRx, CSI, DSI, SPI, I2C, I3C, PMBUS, SPMI, Slimbus etc) 10+ years of experience working in PC or IoT industry; Knowledge of commercial, industrial and home automation systems Experience with full product lifecycle from requirements gathering, prototype development, production, knowledge of PCB design flow, EDA tools, electrical and thermal simulations. Familiarity with software stack and hardware-software dependencies including HLOS, drivers, kernel, BIOS Familiarity with certification, shock and vibration testing and EMI compliance In depth knowledge of power delivery, PDN, component selection, tuning, PMICs, eBOM Good domain knowledge of 2 or more functional areas of SoCs such as Application Processor, Display, Graphics, Camera, Video, AI, Modem (4G/5G), WLAN, Power Management etc. Exposure to 4G/5G/6G systems and associated cellular standards (e.g. 3GPP NR, LTE). Working with a wide cross functional team comprising of various design and software teams, reliability, functional safety, business, sales and customer engineering Principal Duties and Responsibilities Applies Systems knowledge to evaluate Industrial customer asks and propose chipset solutions utilizing Qualcomm ICs. Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Evaluates interface signaling for clock, data, sideband requirements and propose solution with internal and third-party components. Evaluates signal integrity needs and identifies architecture for high-speed interfaces, topologies (stacked boards, different form factors etc), timing needs, and signal conditioning techniques. Understand power requirements and propose suitable powering schemes for the entire platform. Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems. Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Reviews internal and customer board schematics Develops new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Level of Responsibility Works independently with minimum 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. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Come and join the team that is pushing the envelope and doing foundational R&D for next generation wireless technology! You will be researching, designing, and implementing SW/FW to enable the advanced Wireless WAN features and end-to-end solutions with a focus on layer-1 (PHY layer) functions. This position will expose you to Qualcomms innovative SOC, DSP, Baseband, RF as well as the latest FPGAs and compute platforms in the industry. Minimum Required Skills: Bachelor's degree in computer engineering, Computer Science, Electrical Engineering or related field. 3+ years of Software Engineering on Embedded Platform 3+ years of experience with programming languages such as C, C++, Python , etc. Experience implementing wireless protocols (e.g. 5G/LTE, Wi-Fi ) in Layer 1 (PHY and RF) Preferred Skills Wireless Communication and Digital Signal Processing Theory Knowledge of Operating systems and computer architecture Knowledge of Software architecture and processes Prior experience in DSP Processor Programming (e.g. Tensilica DSP) Prior experience in working with large code base, SW implementation/debugging in a embedded platform Ability to work in a fast-paced dynamic team environment

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a highly motivated Test Engineer to join our XR research team. The role involves validating multimedia content transmission (audio/video) over wireless/wired networks, ensuring performance, stability, and interoperability across devices and platforms. Key Responsibilities: Design and execute test plans for streaming over wireless/wired network. Validate synchronization, latency, jitter, and throughput under various network conditions. Use tools such as sniffers, protocol analyzers, and automation frameworks to capture and analyze traffic. Collaborate with development teams to debug and resolve issues. Conduct interoperability testing with third-party devices. Maintain test beds and simulate real-world usage scenarios. Document test results, file bugs, and track issues to closure. Required Skills: Good understanding of Wi-Fi protocols and multimedia streaming standards. Experience with network analyzer tools like Wireshark, iPerf, etc. Familiarity with audio/video codecs, streaming formats, and synchronization techniques. Hands-on experience with Windows/Android/Linux-based test environments. Excellent scripting skills (Python preferred) for test automation and log analysis. Strong communication skills, ability to collaborate with cross-functional teams. Preferred Qualifications: Knowledge of Bluetooth/Wi-Fi coexistence testing is a plus. Knowledge of XR technologies is a plus. Experience in leading a technical team. Minimum Qualifications: Bachelors degree in engineering, Computer Science, or a related field with 10+ years of related work experience. OR Masters degree in engineering, Computer Science, or a related field with 8+ years of related work experience. Keywords: Python, Wi-Fi, Multimedia, Test Automation Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Looking for "ML framework and AI compiler Engineer" responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization Optimizing model performance for speed, accuracy, and resource efficiency. Integration Integrating AI models with other systems and applications. API Development Creating and maintaining APIs for communication between frontend and backend components. Data Handling Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM "etc is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Responsibilities: Part of video IP systems team and will be responsible for video technology roadmap ; interaction with different teams including design, verification, system, firmware, software, SOC and power teams; video algorithms, image quality analysis; video processing and compression trends with standardization committees. Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders . Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation. Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors . Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Research and develop video algorithms for mobile, automotive, compute and VR/AR applications with performance and power efficiency. Minimum Qualifications: Masters degree in Electrical/Electronics Engineering, Computer Science, or related field and 15+ years of systems engineering experience PhD in Electrical/Electronics Engineering, Communications - Signal Processing, Computer Science, or related field and 12+ years of systems engineering experience Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of codec algorithms and flow Solid C/C++ programming, Python scripting skills. Strong communication skills Good analytical and problem solving skills. Preferred Qualifications: HW C modeling experience Image quality evaluation and metric comparisons Signal / Image processing basicsComputer Vision and Machine Learning algorithms for Video Compression and Video/Image processing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: To design, development, and implementation of AI/ML solutions across multiple domains. Collaborate with cross-functional teams to ensure seamless integration of AI/ML components within the broader framework Address and resolve issues related to AI models finetuning, quantization, compression and graph level optimizations, ensuring high performance and accuracy of AI models. Should possess good analytical skills - Consistently gather, integrate, and interpret information from different sources and conduct in depth analysis to find the root causes, provide recommendations, and effectively solve moderate to highly complex problems. Conduct research on industry trends and innovations in AI/ML to adopt best practices in solutions and deliverables. Develop and optimize quantization techniques for AI/ML models, ensuring efficient execution on Qualcomm hardware Manage project timelines, objectives, and goals, ensuring efficient use of resources across functional areas. Mentor and coach junior engineers, providing development experiences and networking opportunities. Minimum Qualifications: Bachelor's degree in Engineering, Computer science or a related field and 5+ years of experience of Software engineering or related work experience OR Masters degree in Engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience: Experience with SW architecture and programming languages. Experience with tools and frameworks such as PyTorch, TensorFlow, ONNX, and others. Preferred Qualifications: Excellent development skills in Python / C++ Proficient in Data structures and algorithms Hands on expertise in deep learning frameworks such as ONNX, PyTorch, etc In depth knowledge of state-of-the-art Computer Vision, NLP, LLM, LVM and LMM. Good understanding of Quantization (8-bit, 4-bit) and Calibration algorithms Good understanding of machine learning compiler techniques and graphs optimizations Excellent analytical, development, and debugging skills Good understanding of SW design patterns and design philosophies (SOLID principles, design patterns) Knowledge of machine learning runtimes like ONNX Runtime and execuTorch. Knowledge of AI model efficiency toolkit (AIMET), Snapdragon Neural processing engine is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Qualcomm is a company of inventors that ushered in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. Over the last few decades, the Wireless Systems group at Qualcomm has been instrumental in driving the mobile communication revolution which has touched every aspect of our modern life. The Wireless Research and Development (WRD / Systems Engineering) team of Qualcomm-India is looking for individuals who are passionate about system design and can work closely with HW, SW, and test teams to deliver end to end solutions. This role requires ability to conceptualize new algorithms involving Wi-Fi / BT coexistence, propose implementation details, evaluate performance benefits, and analyze and diagnose system level issues across RF/SW/HW boundaries. Successful

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: General Summary Qualcomms Graphics PSE team is a part of the Graphics System team and is responsible for the overall quality of the Graphics IP in silicon. As a member of our Graphics PSE team, you will be working closely with architects, designers, verification, and software engineers to take the GPU from pre-Sil stage to tape out to silicon bring-up and to CS(Customer Samples). Job Functions/General Responsibilities In this position, you will be responsible for developing graphics applications using graphics API like DirectX, OpenGL ES , Vulkan, improving coverage, creating GPU bring-up test-plans and test methodologies. Analyzing and enabling new games and benchmark in pre-Si environment. Provide debug support in pre-Silicon environment (functional model) and driving end to end solutions for silicon bring-up issues including failure debug. We are looking for highly motivated engineers that enjoy working in a fast-paced environment with minimal guidance. Candidates must have strong programming, communication and teamwork skills and approach difficult challenges as learning opportunities. Critical "Must Have" skills/experience for role Strong programming in C/C++. GPU APIs knowledge (Vulkan/Direct3D/OpenGL/Direct X / OpenCL etc.) GPU architecture. Strong analytical skill. 4+ years of relevant experience. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 5+ year of Systems Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred skills/experience for role Experience with at least one ofPerl, Python, TCL Games/graphics application development. OpenCL/CUDA knowledge. Graphics driver development or modelling experience. Post-silicon enablement and bring-up. Prior experience in working in emulation environments for development and debug. Debug tools including JTAG and kernel debuggers

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Summary - We are seeking experts with a robust background in the field of deep learning (DL) to design state-of-the-art low-level perception (LLP) as well as end-to-end AD models, with a focus on achieving accuracy-latency Pareto optimality. This role involves comprehending state-of-the-art research in this field and deploying networks on the Qualcomm Ride platform for L2/L3 Advanced Driver Assistance Systems (ADAS) and autonomous driving. The ideal candidate must be well-versed in recent advancements in Vision Transformers (Cross-attention, Self-attention), lifting 2D features to Bird's Eye View (BEV) space, and their applications to multi-modal fusion. This position offers extensive opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm's internal stack teams. The team is responsible for enhancing the speed, accuracy, power consumption, and latency of deep networks running on Snapdragon Ride AI accelerators. A thorough understanding of machine learning algorithms, particularly those related to automotive use cases (autonomous driving, vision, and LiDAR processing ML algorithms), is essential. Research experience in the development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization, and pruning is highly desirable. Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORPhD in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications: Good at software development with excellent analytical, development, and problem-solving skills. Strong understanding of Machine Learning fundamentals Hands-on experience with deep learning network design and implementation. Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx. Adept at version control system like GIT. Experience in neural network quantization, compression, pruning algorithms. Experience in deep learning kernel/compiler optimization Strong communication skills Principal Duties and Responsibilities: Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations. Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions. Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development. Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers. Conducts complex experiments to train and evaluate machine learning models and/or software independently.