103 Gpu Jobs - Page 2

Hi There, Greetings from SmartSoC Solutions! SmartSoC Solutions is emerging as a leader in providing engineering solutions worldwide. We offer end-to-end Semiconductor, Embedded, and IT services to design and build next-generation leadership products under one roof. And allowing clients to achieve both quick wins and long-term results. Our goal is to be an extended arm of engineering product and IT companies and ensure good quality productization cost-effectively. www.smartsocs.com In this rapid pace of growth, we are looking at dynamic engineers to be part of our company's growth and expansions. Job Role : Post Silicon Validation Engineer Location: Bangalore Experience: 3-6 Years Job Role : CPU Post Si Validation Engineer Required Skills & Qualifications Strong programming skills in C and scripting expertise in Python for automation and tool development Proven experience in automation framework or toolchain development for validation environments Hands-on experience in functional validation, including post-silicon workflows, lab bring-up, and test execution Understanding of x86 architecture, including CPU core, memory subsystem, and platform-level interactions Please share your resume to mohammed.fouzan@smartsocs.com. Kindly refer to your friends and colleagues who might be interested in this role. More about SmartSoC company: SmartSoC Solutions is a leading Product Engineering company with specialization in Semiconductor, Embedded, Artificial Intelligence and Automotive domains. We enable our clients to design and build next-generation products, with a focus on Innovation. Our expertise is in Embedded , SOC Design & Verification, Physical Design & Verification, DFT, FPGA Design & Emulation, Analog Design & Layout, Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Data Analytics, IoT, M2M, ATMP services, Product Engineering, Digital Solutions(Web, Mobile, Cloud, Custom Applications), Infrastructure Management, Network and Cyber Security. Our niche skill pool of 1400+ Engineers are doing exceptional work across offices in multiple cities in India, USA, Sweden, Finland, South Korea, Malaysia, Canada. We are continuously expanding our global presence, and we have our own offices in Bangalore,Hyderabad,Hubli Locations in India and our engineers are available in different part of india like,Bangalore,Hyderabad,Chennai,Pune,Delhi,Kolkata,Gujarat We follow world-class Engineering practices and Standards with an unwavering focus on Disruptive Innovation.

Job Title : C++ Developer Duration : 1-year contractual position Experience Range : 4 to 6 years Notice Period : Within 20 days Education : B.Tech, B.E Interview Process : 1st- Technical, 2nd - Technical round & 3rd - HR Round Mandatory : End-to-end C++ skills Job Description : We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products. Primary responsibilities : Software Development : - Develop and maintain high-performance applications using C++ and CUDA.- Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization : - Optimize CUDA kernels for performance, scalability, and memory efficiency. - Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing : - Conduct code reviews to ensure adherence to coding standards and best practices.- Develop and execute test cases to validate functionality and performance. Collaboration : - Work closely with the software engineering and research teams to understand requirements and deliver robust solutions.- Provide technical guidance and mentoring to junior team members when necessary. Documentation : - Write and maintain technical documentation, including design specifications and user manuals. Required Skills : C++ : Strong proficiency in modern C++ (C++11/14/17/20). CUDA Programming : Extensive experience in developing, debugging, and optimizing CUDA applications. GPU Optimization : Familiarity with memory hierarchy, shared memory, streams, and warp level operations in CUDA. Parallel Computing : Solid understanding of parallel algorithms and multi threaded programming. Mathematical and Analytical Skills : Strong foundation in linear algebra, calculus, and numerical methods. Tools : Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.

About the Role We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions. This is what you are responsible for - Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Preferred qualifications : - Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines. - Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing. - Experience working in a fast-paced, startup environment is a plus.

What we do : Our game-changing AI solutions revolutionize what people and businesses can achieve. Ara inference processors combined with our SDK deliver unrivaled deep learning performance at the edge to accelerate and optimize real-time decision making where every millisecond is critical, and power efficiency is a must. solutions embed high-performance AI into edge devices to create a smarter, safer, and more enjoyable world. Edge AI is on the brink of a boom, and looking forward to playing a significant role in it. This is what you are responsible for : - Will be part of a highly talented global team developing neural network systems. - Will have the opportunity to develop the application and system software for a cutting-edge AI silicon. - Member of a software engineering team, you will design and implement compilers, translators for AI computing system - Work closely with ASIC and hardware teams, propose architectural features and develop software for the system and build the highest perf/watt system Necessary Qualifications : - Excellent knowledge of Python/C/C++, data structures and algorithms. - Experience in neural network frameworks like TensorFlow, ONNX, Caffe, PyTorch etc. is a plus - BTech/MTech with 4+ years of experience in software development

Please find below JD. Criteria: - International tech support Background (US customers) Good communication skills Dealt with consumers and not internal staff Computer hardware background. Good at troubleshooting issues related to PCs and laptops Should have worked in Dell, Lenovo, or HP Experience 1-3 years or more. Willing to work in shifts as operations will be 24x7 Candidate available for F2F meeting Graduate and Undergraduate 5 Days WFO What you will be doing:- Provide initial end user support for customers via phone, Chat or email as needed, with top customer satisfaction as our primary goal. Ability to quickly understand and resolve customer issues while maintaining a polite and professional demeanor regardless of the situation. Quickly identify trends, new issues and report them in a useful way to the management. You will work closely with your team in a reciprocal environment to quickly resolve issues. Utilize the available product test equipment to reproduce the user reported issues and figure out root cause. Review issue trends and quickly highlight and provide data to management on hot issues, especially after new driver and product releases. Requires high level and confident use of our user database management system. Attend product and driver meetings as needed to ensure support is ready. Identify and report areas for product/process improvement. What we need to see: Professional-level social skills, including ability to adjust communication to technical level of audience, and stay calm and focused in negative situations. Able to demonstrate leadership skills and take ownership of customer issues reported. Dedication, focus, and follow-through needed to see problems through to resolution Knowledge and experience with Windows operating system, various games and graphical apps including video editing software. At least 1 years of consumer technical support experience with an emphasis on gaming and graphics. Strong computer skills needed to research, diagnose, solve problems, and identify solutions to customer issues Work with HTPCs and other multimedia applications. Having knowledge on Linux and/or Mac OS skills are a strong plus. Deep, hands-on experience with RightNow/Oracle CRM systems. Exceptional follow up and organizational skills Willingness to align with standard procedures for proper handoff of unresolvable issues to the appropriate internal teams in order to maximize customer satisfaction Outstanding customer service skills and superb communication skills to provide prompt and accurate feedback to customers Superb written interpersonal skills to ensure proper recording of all customer interactions and closure of all presented issues Great written communication skills are required to prepare accurate, clear, and timely reports Commitment to documenting knowledge in the form of knowledge base tech notes and articles Flexibility in terms of task, workloads and schedule are significant for this position Ways to stand out from the crowd: Hold a degree in a meaningful field, like Computer Science or IT. Microsoft, Linux or similar certification is a plus. Aptitude for problem-solving Excellent client-facing/customer service skills Excellent written and verbal interpersonal skills Ability to focus and follow-through to resolution of issues Ability to diffuse tension and work the issue at hand As a part of our team, your ideas contribute to faster resolutions, higher customer happiness rate and better overall experience for our end users. Share your resume to js001102065@techmahindra.com / 7401616946 if interested

Title: GPU + Kubernetes Engineer Experience: 1-4 Years Location: Bangalore, India (Work from Office) About the Role We are looking for a GPU + Kubernetes Engineer to join our high-performance infrastructure team. This is a hands-on engineering role focused on building and scaling GPU-based compute clusters using Kubernetes and Terraform. What We're Looking For: 1-4 years of experience in infrastructure, DevOps, or backend engineering with hands-on development experience. Solid experience with Kubernetes (K8s) and infrastructure as code tools like Terraform . Exposure to GPU workloads. Experience or interest in stress-testing large-scale systems and understanding bottlenecks. Basic understanding of cloud environments (AWS, GCP, Azure). Sana Azmi Talent Acquisition Specialist Sanaa@norwintechnologies.com

Dear Candidate, Were looking for an experienced Infrastructure Engineer with a strong background in Kubernetes (K8s) , GPU-based workloads , and scaling large distributed systems . We need builders, not just maintainers. Ideal candidates will have hands-on experience developing and stress-testing infrastructure at scale , not just reporting bottlenecks, but solving them. Interested candidates can share their updated CV on anjalihb@norwintechnologies.com Mode: work from office Location: Bangalore What Youll Do Design, build, and optimize infrastructure to support large-scale, GPU-accelerated workloads Develop and run performance/stress tests to identify and resolve scaling issues Own the infrastructure layer: from container orchestration to system-level performance tuning Collaborate with engineering teams to ensure infra scales with product needs What Were Looking For Deep hands-on experience with Kubernetes and GPU-based workloads Proven ability to design, test, and scale large systems (not just monitor them) Track record of solving infra scaling problems, not just escalating them Strong understanding of distributed systems performance, observability, and tuning Regards, Anjali Bhadra Sr. Talent Acquisition Specialist anjalihb@norwintechnologies.com

The role requires an experienced engineer with a strong interest in system software and computer architecture. Working closely with diagnostics engineers, developers, and architects from various teams, the engineer will be responsible for designing and implementing system software for diagnostics that covers pre-silicon and post-silicon aspects of all AMD SoCs. Key responsibilities include developing and testing diagnostic test cases for AMD SoCs" Infinity Fabric, debugging test case failures, participating in test planning, and collaborating with cross-functional teams. Preferred experience for this role includes expertise in C++ programming, post-silicon diagnostics development and validation, understanding of data/address bus architecture, caches, memory management, PC hardware, SoC, Chipsets, CPU, GPU, BIOS, firmware, x86/computer architecture, OS internals, and software development life cycle. Strong analytical and problem-solving skills are essential, along with fluency in both written and spoken English.,

You have a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Additionally, you have 10 years of experience in ASIC hardware architecture and silicon design. Ideally, you also possess a Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with a focus on computer architecture. Your background includes experience with processor core architectures (such as ARM, x86, RISC-V, etc.) and IPs commonly used in SoC designs. Moreover, you have expertise in architecting and designing low power ASIC hardware IP for complex SoCs in various areas like camera ISP, video codecs, display, graphics, and machine learning networks. You have also worked with ambient or always-on vision hardware and workflows for ultra-low power SoC applications. As a member of our team, you will be involved in developing custom silicon solutions for Google's direct-to-consumer products. Your contributions will play a vital role in shaping the future of hardware experiences, ensuring unparalleled performance, efficiency, and integration for products that are beloved by millions globally. At Google, we are committed to organizing the world's information and making it universally accessible and useful. Our team leverages the synergy of Google AI, Software, and Hardware to create innovative and impactful experiences. We are constantly researching, designing, and developing new technologies and hardware to enhance computing speed, seamlessness, and power, ultimately aiming to improve people's lives through technology. Your responsibilities will include defining and delivering the hardware Multimedia/Graphics ASIC IP architecture to meet competitive power, performance, area, and image quality objectives. This role requires you to collaborate closely with Graphics, Camera, Video, Display, and ML software, system, and algorithm engineers to co-develop and specify competitive hardware IP architectures for integration into complex SoCs. You will work with GPU, TPU, camera ISP, video, and display hardware IP design teams across global sites to drive the hardware IP architecture specifications into design implementation for complex SoCs. In addition, you will collaborate with SoC and System/Experience architects to meet rigorous power, performance, and area requirements at the SoC level for multimedia use cases and experiences. Data analysis and tradeoff evaluations will also be part of your responsibilities to enhance multimedia architecture solutions.,

Are you seeking a thrilling opportunity to become a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, where you will embark on implementing the next generation of a risk analytics platform The QRMC team is dedicated to constructing models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). As a key member of the QRMC team in India, you will play a vital role in supporting the global activities of the QRMC group. Collaboration with the Front Office and Market Risk functions to create tools and utilities for model development and risk management will also be a significant aspect of this role. Your responsibilities will include working on the implementation of a cutting-edge risk analytics platform, evaluating model performance, conducting back testing analysis and P&L attribution, enhancing the performance and scalability of analytics algorithms, developing mathematical models for VaR/Stress/FRTB, assessing the suitability and limitations of quantitative models, designing efficient numerical algorithms, and creating software frameworks for analytics delivery to systems and applications. To qualify for this role, you should possess an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, or related fields, along with at least 3 years of experience in Python and/or C++. Proficiency in data structures, standard algorithms, and object-oriented design is essential. A basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG is required. Additionally, familiarity with agile development practices, strong quantitative and problem-solving skills, research skills, basic mathematics (statistics, probability theory), good interpersonal and communication skills, and the ability to work effectively in a team are necessary for this role. Attention to detail and adaptability are also key qualities. Preferred qualifications include experience in applying statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, familiarity with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, advanced mathematics such as stochastic calculus, and understanding of front-end technologies like HTML, React, and integration with large data sets.,

As a dynamic and experienced Sales Leader with a strong background in the Semiconductor industry working with ASIC/FPGA/IP/SOC/Ethernet/CPU/GPU Chip Design providers, your primary role will be to drive sales strategy, manage key accounts, and nurture strong customer relationships to achieve business growth. You will lead initiatives to generate and engage with business partners, build new business, maintain existing business, and identify partnership opportunities. Your focus should be on developing new relationships to help the company expand, while also ensuring project success through critical thinking and strategic execution. To excel in this role, you should possess a Bachelor's degree or equivalent experience, along with 10+ years of proven experience in Sales/Account Management within the Semiconductor industry. A strong understanding of the sales process and customer relationship management is crucial, along with excellent communication, negotiation, and presentation skills. You should be able to work collaboratively with cross-functional teams, manage multiple priorities effectively, and be willing to travel as needed. About our Company: Prodapt ASIC services (formerly Innovative Logic) is a leading provider of SoC ASIC/FPGA and Embedded Software services, specializing in turnkey, Offshore design center (ODC), or staff augmentation models. Our services include SoC/ASIC RTL Design, UVM-based verification, Emulation, FPGA-based validation, DFT, RTL2GDSII, Physical Design using ICC2 and Innovus, Mask Layout, Firmware, Silicon Bringup, and Analog mask layout. Additionally, Prodapt is a prominent player in the Connectedness industry, serving as an AI-first strategic technology partner to telecom and tech companies. With a focus on customer-centric solutions and industry challenges, we aim to drive our clients" success through tailored services and innovation. With a global presence spanning 30+ countries and backed by the 130-year legacy of the Jhaver Group, Prodapt combines excellence with cutting-edge innovation to deliver impactful results.,

You are a high-performing candidate who is sought after by Chevron ENGINE to join the Reservoir Engineering and Simulation team with a focus on software development. This team is dedicated to field development/application and technology development, aiming to enhance Chevron's Reservoir Simulation and Optimization workflows. As a senior simulation development engineer, you will be responsible for coaching and mentoring team members, collaborating with US-based R&D groups, developing reservoir simulation and optimization products, and ensuring the smooth operation of software applications. Your key responsibilities will include working on targeted user-experience and data management development, application testing, pipeline build and release in a cloud platform, application run, maintain and user support, as well as development of technical software and training documentation. You are expected to have a BSc/MSc degree in Petroleum Engineering or related areas, with at least three years of experience in the industry. Demonstrated fluency in engineering software development, understanding of subsurface flow simulations, optimization technologies, and cloud platforms, as well as good communication skills are essential for this role. Preferred qualifications include familiarity with reservoir simulation, uncertainty & optimization workflows, ML/AI applications in reservoir simulation & optimization, and direct experience in various reservoir engineering domains. The standard work week for this position will be Monday to Friday, with working hours from 8:00am to 5:00pm or 1.30pm to 10.30pm, aligned to support business requirements across the globe. Chevron ENGINE is committed to supporting global operations and expects you to work effectively in a team environment, utilizing SAFe agile processes to implement highly prioritized features. Your ability to integrate reservoir simulation & optimization workflows with cloud platforms & services will be crucial in this role. If you are looking to be part of a dynamic team that values innovation and collaboration, this opportunity at Chevron ENGINE might be the perfect fit for you.,

As a Testing Engineer at Google, you will play a vital role in ensuring the quality and reliability of embedded software. Your responsibilities will include collaborating with development teams to create and execute test strategies, with a focus on identifying risk areas and enhancing testing frameworks. You will be tasked with automating tests using existing frameworks, specifically targeting AI/ML model functionality and performance. To qualify for this position, you should possess a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or demonstrate equivalent practical experience. Additionally, you should have a minimum of 6 years of experience in testing and debugging embedded software on SoC platforms running Linux, Android, or RTOS. Preferred qualifications for this role include hands-on experience with hardware and accelerators such as GPU, TPU, and DSP. Proficiency in automating tests using established frameworks and strong programming skills in Python and Docker will be beneficial. Join Google's dynamic team in their mission to organize the world's information and create innovative technologies that enhance people's lives. If you are passionate about software testing, automation, and working with cutting-edge technologies, this role offers an exciting opportunity to contribute to the development of groundbreaking solutions.,

Qualcomm India Private Limited is looking for a skilled individual to join their Engineering Group, specifically focusing on Hardware Engineering. As a member of Qualcomm, you will be part of a team of inventors who have paved the way for 5G technology, leading to a new era of connectivity and endless possibilities that will revolutionize industries, generate employment opportunities, and improve lives. This is just the beginning of the Invention Age, and your expertise is crucial in turning 5G's potential into groundbreaking technologies and products. At Qualcomm CDMA Technologies (QCT), a prominent player in Multimedia integrated circuits, software, and systems for wireless consumer devices, including Smartphones, Netbooks, and E-readers, you will be involved in developing cutting-edge technologies to enhance mobile devices across various domains such as 2D and 3D graphics, audio/video, display, and architecture. Your role will encompass the design and implementation of leading-edge graphics processors, focusing on areas like 2D and 3D graphics, streaming processors, high-speed IO interfaces, and bus protocols. You will be responsible for the architecture and micro-architecture design of the ASIC, RTL design and synthesis, as well as logic and timing verification. The successful candidate will work on specifying and designing digital blocks in the Multimedia Graphics team to be integrated into a wide range of devices. Collaboration and active support for diversity within the team and the company are expected from all Qualcomm employees. **Minimum Qualifications:** - Bachelor's degree in Science, Engineering, or a related field - Previous experience in designing GPU or CPU cores and ASICs for Multimedia and Graphics applications in deep sub-micron CMOS processes for volume production - Experience with Verilog/VHDL design, Synopsys synthesis, static timing analysis, formal verification, low power design, test plan development, coverage-based design verification, and design-for-test (DFT) - Knowledge of Computer Architecture, Computer Arithmetic, C/C++ programming languages is desired - Exposure to DX9~12 level graphics HW development is an advantage - Strong communication skills and a collaborative mindset - Required: Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or related field. - Preferred: Master's degree in Computer Science, Electrical Engineering, Information Systems, or related field. **Additional Requirements:** - Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with 6+ years of Hardware Engineering or related work experience - OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with 5+ years of Hardware Engineering or related work experience - OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or a related field with 4+ years of Hardware Engineering or related work experience Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. Reasonable accommodations will be provided upon request to support individuals with disabilities throughout the hiring process. Employees are expected to adhere to all applicable policies and procedures, including those related to confidentiality and security protocols. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. This job posting is intended for individuals seeking direct employment with Qualcomm. For more information about this role, please reach out to Qualcomm Careers directly.,

Are you prepared for an exciting opportunity to become part of a dynamic team in a challenging setting As a Quant Modelling Vice President in the QR Markets Capital (QRMC) team, you will have a crucial role in implementing the next generation of the risk analytics platform. The mission of the QRMC team is to construct models and infrastructure for managing Market Risk, including Value at Risk (VAR), Stress, and Fundamental Review of the Trading Book (FRTB). The QRMC team in India will have a significant impact, supporting the activities of the QRMC group globally. Collaboration with Front Office and Market Risk functions is essential to develop tools and utilities for model development and risk management purposes. Your responsibilities will include working on the implementation of the next generation risk analytics platform, assessing model performance, conducting back testing analysis and P&L attribution, enhancing mathematical models for VaR/Stress/FRTB, evaluating quantitative models and their limitations, designing efficient numerical algorithms, and developing software frameworks for analytics and their delivery to systems and applications. To qualify for this role, you should hold an advanced degree (PhD, MSc, B.Tech or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc. You should have at least 3 years of relevant experience in Python and/or C++ with proficiency in data structures, standard algorithms, and object-oriented design. A basic understanding of product knowledge across various asset classes such as Credit, Rates, Equities, Commodities, FX & SPG is required. It is beneficial if you have an interest in applying agile development practices, possess quantitative and problem-solving skills, research skills, and understand basic mathematics including statistics and probability theory. Strong interpersonal and communication skills, the ability to work in a group, attention to detail, and adaptability are also essential. Preferred qualifications include experience with statistical and/or machine learning techniques in the financial industry, knowledge of options pricing theory, trading algorithms, or financial regulations, familiarity with multi-threading, GPU, MPI, grid, or other HPC technologies, excellent knowledge of data analysis tools in Python like Pandas, Numpy, Scipy, understanding of advanced mathematics such as stochastic calculus, and knowledge of front-end technologies like HTML, React, and integration with large data sets.,

The Verification role requires you to be proficient in Functional and Performance verification, utilizing effective methodologies at different levels such as Module, Subsystem, SoC, and System. It is essential to have the skills to translate requirements into a verifiable plan. You will collaborate with SoC and IP developers locally and globally to implement best practices and enhance productivity continuously. A meticulous approach towards achieving zero defects is crucial. Your responsibilities will include creating verification test benches, verification components, test cases for simulation, formal verification, and emulation. Additionally, you will be responsible for debugging failures and formulating simulation scenarios for various analyses. Your key tasks will involve team leadership, technical guidance, and Verification planning. You will be responsible for developing, fine-tuning, and implementing verification test benches. Furthermore, you will create verification test bench components like drivers, monitors, response checkers, and leverage advanced UVM VIPs. Your role will also entail generating direct and constrained-random stimuli using C and SystemVerilog, examining RTL code, functional coverage, and assertion results. You will be expected to work on functional coverage development and system Verilog assertions. Proficiency in formal verification techniques, robust debugging skills, failure re-creation, and root cause analysis are essential requirements. Strong debugging and logical reasoning skills are crucial for this position. To excel in this role, you must have a strong background in C and UVM/SystemVerilog-based Test environments. Understanding the design/architecture and the ability to debug RTL/Gate netlist are mandatory skills. Coverage-driven Verification expertise is required to fulfill the Functional and Performance requirements of the SoC and manage regression effectively. Knowledge of Microcontroller architecture, ARM Cores, Interconnect (NIC, FlexNoC), Cache Coherency, and Bus Protocols like AHB/AMBA, AXI, ACE is essential. Additional skills that would be advantageous for this role include experience with Memory controllers (Flash, SRAM, DDR3/4/LPDDR), Protocols such as PCIe, MIPI, GPU, Ethernet, and Serial/Quad flash. Familiarity with Formal verification methodologies and Apps, AVIP, PinMuxing Verification, Randomization, and Low Power intent verification using UPF is beneficial. Exposure to pre-silicon validation/emulation tools like Veloce, Zebu, FPGA Prototyping would be considered a plus.,

The ideal candidate for this position should possess hands-on development experience in C and C++. Previous work experience in the Automotive domain is required. It would be beneficial to have exposure to QNX, RTOS, and Android platforms. The responsibilities will include analyzing architecture and metrics using performance analysis tools to determine CPU utilization, CPU frequencies, CPU process statistics, DDR profiling, memory profiling, and IO profiling. The candidate should also work on reducing both CPU and GPU load to minimize overall time consumption. Additionally, experience with CPU and GPU libraries, trace analysis, CPU, and GPU optimization is expected. Proficiency in tools such as Snapdragon Profiler, QProfiler, Sysprofiler, Sysmon, and debugging tools like JTAG and Trace32 is essential. The high-level roles and responsibilities for this position include CPU/GPU profiling and optimization. The candidate is expected to collaborate effectively with cross-functional teams and engineering for smooth execution of projects. Required Skills: - C/C++ - QNX/RTOS/Android - CPU utilization, CPU frequencies, CPU process statistics, DDR profiling, memory profiling, IO profiling - CPU, GPU, JTAG, Trace32 Supported Skills: - Snapdragon Profiler, QProfiler, Sysprofiler, Sysmon,

Qualcomm India Private Limited is seeking a talented Graphics Test Engineer to join the team. The ideal candidate should have experience in Linux Android and Linux Embedded systems, possessing a solid understanding of Graphics APIs like OpenGLES, Vulkan, and OpenCL. In this role, you will be responsible for testing graphics systems, creating and automating test plans, and collaborating closely with various teams to ensure the highest quality of graphics performance and functionality. Your responsibilities will include developing and executing test plans for graphics systems in embedded environments, conducting hands-on testing at unit, integration, and system levels, as well as automating test cases using programming languages such as C, Python, etc. You will also be required to debug issues within the graphics systems, collaborate with software, hardware, and systems teams for comprehensive test coverage, document system-level defects, and use bug tracking systems for reporting. Additionally, adapting to testing various operating systems and hardware modules during test execution and ensuring the stability and performance of graphics systems under different operating conditions will be part of your role. The minimum qualifications for this position include a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field, along with 2+ years of Software Engineering or related work experience, or a Master's degree in a related field with 1+ year of relevant work experience, or a PhD in a related field. Furthermore, you should have at least 2 years of academic or work experience with programming languages such as C, C++, Java, Python, etc. Preferred qualifications for this role include strong programming skills in C and Python, experience in testing Embedded SW systems, RTOS, and possessing strong debugging skills. Experience with GPU, CPUs, or Linux Device Drivers, open-source projects, upstream contributions, familiarity with Yocto, Ubuntu, and other Linux distributions, and expertise in developing and automating test plans and tools are also desirable. Other preferred qualifications encompass strong analytical skills, effective communication skills, ability to work well with various teams, ability to multitask and work under pressure, and exploring and implementing new ways to automate day-to-day tasks. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, kindly contact Qualcomm at disability-accommodations@qualcomm.com. Qualcomm expects its employees to adhere to all applicable policies and procedures, including those related to security and confidentiality. Staffing and recruiting agencies are advised not to submit unsolicited profiles, applications, or resumes. If you are interested in this role and would like more information, please reach out to Qualcomm Careers for further details.,

You must possess hands-on development experience in C and C++. It is mandatory to have work experience in the Automotive domain. It would be advantageous to have exposure to QNX, RTOS, and Android platforms. Your responsibilities will include analyzing architecture and metrics using performance analysis tools to determine CPU utilization, CPU frequencies, CPU process statistics, DDR profiling, memory profiling, and IO profiling. Additionally, you will be expected to reduce both CPU and GPU load to minimize overall time consumption. Familiarity with CPU and GPU libraries, trace analysis, CPU and GPU optimization is also essential. Proficiency in tools such as Snapdragon Profiler, QProfiler, Sysprofiler, Sysmon, and experience in using debugging tools like JTAG and Trace32 are required. Your primary roles will involve CPU and GPU profiling, as well as optimization. Collaboration with cross-functional teams and engineering for smooth execution is crucial in this role.,

Job Title: C++ Developer Contractual | Immediate Joiner | Mumbai (Onsite) Job Description: We are hiring for a C++ Developer position for one of our esteemed clients, a leader in device integration and high-performance computing. This is a 1-year contract-based opportunity with the potential for extension or permanent absorption based on performance. The role is onsite at Kandivali, Mumbai, and is open strictly to local candidates who are available to join within 20 days. The ideal candidate will be a passionate and experienced developer with end-to-end C++ development expertise, along with proficiency in CUDA programming, GPU performance tuning, and parallel computing. You will be working on real-time, high-performance applications and GPU-accelerated tasks, collaborating closely with software engineers and researchers to bring innovative solutions to life. Key Responsibilities: Develop and maintain high-performance software applications using modern C++ (C++11/14/17/20). Design and implement GPU-accelerated algorithms using CUDA to optimize system performance. Optimize CUDA kernels for memory efficiency, scalability, and overall performance. Conduct code reviews to ensure adherence to best practices and clean coding standards. Create and execute test plans to validate performance and functionality. Analyze and troubleshoot performance bottlenecks using appropriate debugging and profiling tools. Collaborate with cross-functional teams including product development, QA, and R&D to deliver robust and reliable software. Provide technical mentorship to junior developers as needed. Maintain clear and comprehensive documentation for all software components and processes. Required Skills & Experience: 4 to 5 years of hands-on experience in C++ software development. Strong command of modern C++ standards (C++11/14/17/20). Proven experience with CUDA programming and developing GPU-accelerated solutions. Good understanding of parallel computing, multithreading, and GPU architecture. Experience with CUDA optimization techniques: memory hierarchy, streams, warp-level primitives, etc. Familiarity with tools such as Nsight, CUDA Memcheck, or other debugging/profiling utilities. Strong analytical and mathematical skills including knowledge of linear algebra and numerical methods. Job Details: Location: Kandivali, Mumbai (Only local candidates will be considered) Work Mode: Work From Office (No hybrid/remote options) Type: Full-time, Contractual 1 Year Notice Period: Immediate joiners or max 20 days Why Apply Opportunity to work on cutting-edge CUDA and high-performance computing projects. Exposure to a highly technical and collaborative environment. Chance for contract-to-hire based on performance. Note: This role is strictly for candidates who are currently based in Mumbai and can join on short notice. Profiles from other locations will not be considered. Key Skills: C++, CUDA, GPU Programming, Parallel Computing, Multithreading, Nsight, Memory Optimization, High-Performance Computing, CUDA Kernel Development

As a member of the GalaxEye team, you will play a crucial role in the optimization and development of data processing software for our cutting-edge Space-Tech innovations. Your responsibilities will include optimizing software for low-power and low-latency computing, architecting software for future GalaxEye hardware and software advancements, as well as developing, reviewing, testing, and debugging Linux device drivers. Additionally, you will collaborate closely with our operations team to ensure that our systems meet their needs and enhance the operational experience. To excel in this role, you should hold a Bachelors degree in Computer Science or Electrical/Computer Engineering, along with 1-3 years of relevant work experience. Proficiency in Python and at least one systems programming language such as C, C++, or Rust is essential. A strong understanding of operating system internals, particularly Linux, is required, along with experience in common hardware protocols/interfaces like PCIe, Ethernet, and I2C. Familiarity with networking protocols like TCP/UDP and Ethernet, as well as experience in writing algorithms, data structures, and multi-threaded software, are also key qualifications. Preferred skills that would be advantageous for this position include knowledge of GPUs, ML accelerators, power management, high-performance networking, and performance optimization. Experience with safety standards such as DO-178B/C, ISO26262, or similar would be a plus. Joining GalaxEye offers you the opportunity to be part of India's leading space-tech satellite technology company, where fair compensation based on market standards is provided. You will work closely with visionary leaders, gaining hands-on experience in strategy and operations. The culture at GalaxEye encourages exploration, discussion, and implementation of new ideas and processes, fostering a collaborative and growth-oriented environment.,

NVIDIA is at the forefront of innovation, continually reinventing itself to tackle the challenges of the modern world. The invention of the GPU by NVIDIA has not only driven the growth of the PC gaming market but has also redefined computer graphics and revolutionized parallel computing. In today's era of booming artificial intelligence research, there is a crucial need for highly scalable and massively parallel computation power, an area where NVIDIA GPUs excel. At NVIDIA, we are committed to amplifying human creativity and intelligence through our constant evolution and adaptation to new opportunities that are uniquely challenging and impactful. As part of our team, you will be immersed in a diverse and supportive environment that encourages everyone to strive for excellence and make a significant impact on the world. Currently, we are seeking motivated and innovative ASIC / Hardware Engineers to join us in architecting, designing, and verifying the next generation of GPUs, CPUs, and SoCs. These cutting-edge technologies are aimed at accelerating the performance of various applications such as Data Center, Machine Learning, Autonomous Driving, Ray Tracing, and more. As a part of our hardware engineering groups, you will work on high-performance GPU/SOC/CPU projects involving Memory subsystems, Graphic Processing Units, NOC-based Interconnect Fabric, High-speed IOs, and more. Your responsibilities will include: - Working on hardware models at different levels of abstraction to identify performance bottlenecks. - Collaborating with architecture and design teams to analyze architecture trade-offs related to performance, area, and power consumption. - Developing and testing workloads and test suites targeting different applications running on our products. - Making architectural trade-offs based on various requirements and driving the verification and validation processes. - Creating verification environments using UVM methodology and driving functional coverage verification closure. - Enhancing timing analysis workflows and assisting in chip-level integration and floor planning. - Designing state-of-the-art test access mechanisms and DFT methodologies for our products. - Collaborating with cross-functional teams to drive innovation and improve DFT methods. To be successful in this role, you should have: - A BTech/MTech degree with at least 2 years of experience in micro-architecture and RTL development. - Strong digital design fundamentals and familiarity with ASIC design flows. - Experience in GPU/CPU/SOC performance verification and analysis, IP/SOC design, micro-architecture, and other relevant skills. - Excellent debugging, analytical, and interpersonal skills, along with the ability to work effectively in a team. If you are passionate about technology and seeking a challenging yet rewarding opportunity, NVIDIA offers competitive salaries, comprehensive benefits, and a stimulating work environment with some of the brightest minds in the industry. Join us in our mission to shape the future of technology and make a meaningful contribution to the world.,

Qualcomm India Private Limited is seeking a candidate to join their Multimedia Audio Systems Group as a Voice AI Engineer. As part of the team, you will be responsible for prototyping and productizing Voice AI Models for tasks such as Automatic Speech Recognition (ASR), Text-to-Speech (TTS), NLP, Multilingual Translation, Summarization, Language modeling, and other Speech/text generation tasks. You will work closely with a team of engineers to develop, train, and optimize Voice AI models for efficient offload to NPU, GPU, and CPU. Additionally, you will conduct model evaluation studies, competitive analysis, and collaborate with other R&D and Systems teams for system integration, use case validation, efficient offload to HW accelerators, and commercialization support. The ideal candidate should have strong programming skills in C/C++ and Python, along with experience in ML inference optimizations. Proficiency in designing, implementing, and training DL models using high-level languages/frameworks such as PyTorch, TensorFlow, and ONNX is required. Knowledge of ML architectures and operators like Transformers, LSTM, GRUs, and familiarity with recent trends in machine learning and traditional statistical modeling/feature extraction techniques are essential. Experience in Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications, model quantization, compression techniques, software development on embedded platforms, software design patterns, multi-threaded programming, computer architecture, operating systems, data structures, algorithms, fixed-point coding, and AI HW accelerators (NPU or GPU) is a plus. Candidates should hold a Bachelor's/Masters/PhD degree in Engineering, Electronics and Communication, Computer Science, or related field, along with 3+ years of experience in Audio Systems engineering, Audio Signal Processing modules, ML Model development, or related work. Minimum qualifications include a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Systems Engineering or related work experience, or a Master's degree with 1+ year of experience, or a PhD in a related field. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Individuals seeking accommodation during the application/hiring process can contact Qualcomm for support. The company expects its employees to adhere to all applicable policies and procedures, including security requirements regarding protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. For more information about this role, please contact Qualcomm Careers.,

As a Silicon Systems Engineer at Google, you will play a crucial role in developing custom silicon solutions for Google's direct-to-consumer products. You will work alongside a diverse team to innovate and create hardware experiences that enhance the performance, efficiency, and integration of Google's products. Your primary responsibilities will include understanding the hardware and software architecture of System-on-Chip (SoC), optimizing performance and power efficiency, and defining key performance metrics for critical user journey workloads. You will collaborate with Machine Learning System Architects and Software teams to ensure that hardware/software specifications are met and engage with Verification and Validation teams to validate performance metrics. To qualify for this role, you should have a Bachelor's degree in Electronics Engineering, Computer Engineering, or Computer Science, along with at least 4 years of experience working with System Software of Silicon architecture, GPU, and memory subsystem. Experience in power and performance optimization, as well as programming skills in Python, C, or C++, are also required. Preferred qualifications include a Master's degree in a related field, experience in system hardware/software design for power, performance, and thermal optimization, familiarity with mobile SoC architecture, and knowledge of AI/ML or Large Language Model (LLM) on edge devices. Join us at Google's Devices & Services team, where we combine the best of Google AI, Software, and Hardware to create innovative and helpful experiences for users. Together, we are shaping the future of technology and making people's lives better through cutting-edge hardware solutions.,

We are looking for a skilled Computer Vision Engineer with a strong background in microservice deployment architecture to join our team. In this role, you will be tasked with creating and implementing computer vision models to analyze retail surveillance footage for various purposes such as theft identification, employee productivity monitoring, and store traffic analysis. Your primary responsibilities will include developing computer vision models by building, training, and optimizing deep learning models for tasks like theft detection, employee efficiency tracking, and store busy hours analysis. Additionally, you will be involved in designing and deploying scalable microservice-based solutions on cloud platforms to deliver real-time and post-event analytics for enhancing retail operations. Key responsibilities also involve developing data processing pipelines for real-time and batch video data streams, integrating computer vision services with existing retail systems, optimizing model performance, and ensuring compliance with security and privacy standards. The ideal candidate will have at least 3 years of experience in computer vision, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms and real-time video analytics is required. Proficiency in programming languages such as Python, C++, or Java, as well as expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, is essential. Preferred qualifications include experience with edge device deployment, understanding of retail operations, and knowledge of data privacy regulations. Strong analytical, problem-solving, and communication skills are also desired. We offer a competitive salary, stock options, and health insurance. If you are enthusiastic about developing cutting-edge computer vision solutions and deploying them to revolutionize retail operations, we encourage you to apply now.,