CPU GPU Integration Jobs in Bengaluru

Job Title: Senior Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Professional About BetaNXT BetaNXT is powering the next generation of connected wealth management infrastructure. By integrating our proven platforms Beta, Maxit, and Mediant we deliver real-time data solutions that enhance advisor productivity, streamline enterprise operations, and elevate the investor experience. Our platform helps wealth management firms transform their legacy systems into scalable, future-ready solutions that drive differentiation and growth. About the Role We are seeking a Senior Specialist Software Engineering to join our Product Engineering team. This is a key technical leadership role for someone passionate about enterprise integration, legacy modernization, and delivering high-performance, scalable systems. You will work closely with architects, product managers, and cross-functional teams to design and implement critical enhancements across our platform, playing a key role in shaping our strategic initiatives. Key Responsibilities Lead software design & development of complex enterprise components aligned with business and technical goals. Collaborate with Solution Architects to define scalable, maintainable solutions. Provide technical oversight through the software lifecycle design, development, testing, and integration. Define and execute testing strategies: unit, integration, and performance. Drive code quality and reliability through proactive issue resolution and continuous improvement. Create and maintain technical documentation to ensure long-term maintainability. Ensure adherence to development best practices, internal standards, and compliance. Serve as a technical SME and point of contact for assigned domains. Mentor junior engineers, promoting skill development and knowledge sharing. Coordinate with QA, documentation, deployment, and support teams to ensure successful delivery. Participate in project planning, provide effort estimates, and contribute to work breakdown. Communicate effectively with technical and non-technical stakeholders, including senior leadership. Contribute in Agile/SCRUM teams, supporting sprint ceremonies and cross-functional collaboration. Maintain timely updates, raise risks early, and help drive resolution. Required Qualifications & Experience 10+ years of hands-on experience in Enterprise Application Integration and Mainframe Development. Expertise in COBOL, JCL, CICS, DB2, VSAM, and environments like CICS Web Services & Transaction Server 3.1. Proficient in integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) MQ Series, IBM DataPower Familiar with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Experience with JCL utilities, ChangeMan, and version control tools like GIT. Skilled in unit testing, code quality, and design documentation. Understanding of performance metrics: CPU usage, response time, network latency, etc. Knowledge of API modeling and annotation tools: Swagger, RAML. Familiarity with XML, XSD, XPath, XQuery, JSON. Experience working in Agile/SCRUM development environments. Strong analytical, communication, and cross-functional collaboration skills. Bachelor s degree in Computer Science, Information Science, or a related field. Master s degree or certifications (e.g., IBM, Agile) are a plus. Join a company transforming the wealth management technology landscape. Work on mission-critical systems that power financial operations at scale. Collaborate with industry leaders and technical experts in a fast-paced environment. Contribute to modernization efforts that directly impact advisor and investor experience. Thrive in a culture that values innovation, integrity, and continuous improvement. Qualification : Bachelors degree in Computer Science, Information Science, or a related field

Job Title: Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is redefining connected wealth management infrastructure with next-gen, real-time data solutions that streamline operations, enhance advisor productivity, and elevate the investor experience. By combining the strength of our trusted platforms Beta, Maxit, and Mediant we deliver flexible, scalable solutions that anticipate the evolving needs of the wealth management industry. We help firms transform legacy systems into strategic assets, enabling enterprise scale, cost efficiency, and accelerated growth. About the Role We are looking for a Specialist Software Engineering to join our Product Engineering team. This is an exciting opportunity for an experienced and technically driven engineer passionate about enterprise integration, legacy modernization, and building mission-critical systems. You ll play a key role in developing complex software solutions, collaborating with architects and cross-functional teams, and helping shape the next generation of our platform. Key Responsibilities Lead the design, development, and enhancement of complex software components and systems. Collaborate with Solution Architects and other stakeholders to define scalable, efficient solutions. Develop and maintain both new features and legacy systems in alignment with business and technical requirements. Conduct unit and integration testing to ensure software quality and compliance. Perform code reviews, provide feedback, and mentor junior engineers. Contribute to architectural discussions, risk assessments, and solution planning. Participate in Agile planning, providing effort estimates and technical inputs. Maintain clear, detailed technical documentation to support future maintenance and development. Provide regular progress updates, and support production systems and on-call rotations when needed. Drive knowledge sharing and help build technical capability across the team. Qualifications & Experience Must-Have 7+ years of experience in Enterprise Application Integration and Mainframe Technologies. Deep expertise in COBOL, JCL, CICS, DB2, VSAM, including CICS Web Services and Transaction Server 3.1. Experience with integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) IBM MQ Series, IBM DataPower Proficiency with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Familiarity with JCL utilities and version control systems such as ChangeMan. Understanding of performance tuning metrics: CPU usage, response time, network latency, etc. Proven experience working in Agile/SCRUM teams. Strong analytical thinking, collaboration, and communication skills. Good to Have Exposure to modern DevOps practices, GIT, or CI/CD pipelines. Master s degree or relevant professional certifications. Work on high-impact platforms powering the wealth management industry. Be part of a modernization journey transforming legacy infrastructure into future-ready systems. Collaborate with cross-functional, global teams in a fast-paced and inclusive environment. Grow within a company that values technical excellence, innovation, and continuous learning. Qualification : Masters degree or relevant professional certifications

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Software & Algorithm Design Engineer Robotics Location: Bengaluru Overview: We are seeking a talented Software and Algorithm Design Engineer to join our Robotics team. The ideal candidate will have a strong foundation in machine learning, computer vision, and image processing, coupled with practical experience in developing and optimizing algorithms for real-world robotics applications. This role demands proficiency in C++, familiarity with GPU computing, and a systems-level approach to problem-solving. Key Responsibilities: Develop and model new Machine Learning architectures and algorithms from the ground up. Apply expertise in machine vision and image processing to solve complex robotic perception problems. Classify and evaluate various ML models, understanding their benefits, limitations, and evolution. Parameterize problems with a clear understanding of system-level and process-level impacts. Translate and optimize DSP and/or Neural Network-based algorithms for high performance. Build robust test frameworks to validate algorithm correctness and performance. Collaborate closely with cross-functional teams to deliver production-ready, reliable robotics software beyond prototyping stages. Document code and algorithm design meticulously to ensure maintainability and clarity. Utilize GPU technologies, including CUDA, to accelerate algorithm performance. Required Skills & Qualifications: Strong grasp of Machine Learning fundamentals and practical ML toolkits. Proficient in C++ (Python proficiency assumed). Solid background in Machine Vision and Image Processing. Understanding of control systems is a plus. Familiarity with GPU application development and CUDA programming (expert level not required). Experience optimizing algorithms related to DSP or Neural Networks. Skilled in building comprehensive test frameworks for software validation. Passionate about documentation and writing clean, readable code. Comfortable working within a software development lifecycle to create production-quality software. Preferred Knowledge: ML Architectures and Neural Networks Digital Image Processing & Machine Vision CPU and GPU Architectures CUDA and GPU Programming Basic Software Design Patterns Memory Architecture & Optimization Techniques Algorithm Performance Optimization Tools & Technologies: C++ CUDA cuDNN and other machine learning frameworks Computer Vision libraries (e.g., OpenCV)

Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.

Senior Emulation Engineer Company Arm Location Bengaluru, India Job Overview Arm s Central Emulation team is excited to welcome experienced Emulation experts to join the team in Bengaluru. You will collaborate with design and verification engineers across the UK, US, India, and France to support advanced Compute Subsystems and SoC projects. Arm is building a team to develop exceptional silicon demonstrators based on Arm s IP compute sub-system solutions, targeting premium mobile, infrastructure, and automotive markets. Using the latest technology nodes (e.g., 3nm) and new 3D packaging innovations, Arm s goal is to demonstrate industry-leading performance by architecting, designing, implementing, and fabricating cutting-edge silicon test chips. This initiative brings together innovative talent and expertise from across the semiconductor industry to shape the next generation of compute on Arm devices. Responsibilities Collaborate with end users to understand system use cases and guide validation efforts. Ensure tight integration between hardware qualification and final application use models. Work in an exciting emulation environment using hybrid and virtual solutions, integrating industry-standard high/low-speed IO IPs into subsystems and SoCs. Engage from early architecture and design phases to pre-silicon validation and post-silicon validation on emulation platforms. Drive pre-silicon emulation across all SoC teams. Ensure design quality and debuggability by collaborating closely with the design team. Support architecture, verification, system validation, performance, power, and DFT teams with insights from performance and power characterization. Develop comprehensive pre and post-silicon test plans in collaboration with verification teams. Develop tests, create bare-metal drivers for industry-standard IO IPs, and build frameworks to enable scalable testing across multiple ASIC projects. Required Skills and Experience Bachelor s degree (BE/BTech) in Electronics Engineering. 8+ years of experience in Pre-Silicon Validation and Emulation/FPGA-based platforms. Experience developing C/C++/SystemC tests for HDL-HVL co-emulation platforms. Proficiency in IO bus protocols such as I2C, SPI, USB, and/or PCIe. Experience with SoC debugging tools such as JTAG and Trace32. Nice-to-Have Skills and Experience Knowledge of ASIC design and prototyping flows. Experience with SystemC/C/C++ and UVM/SystemVerilog (SV) verification languages. Familiarity with domains such as PCIe, Flash, Memory, CPU, GPU, and DRAM. Hands-on experience with emulation toolchains such as Zebu, Veloce, or Palladium. What Arm Offers Arm is committed to global talent acquisition, offering an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace where everyone can thrive, Arm encourages its people to make exceptional contributions to its global success. #LI-KR2 Qualification : Bachelors degree (BE/BTech) in Electronics Engineering.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.

Job Description: As a Staff Engineer in Arm's Solutions Engineering group, we like to think we are not just crafting sophisticated SoCs, but we are defining future chip design techniques. Not only do we improve the power, performance, and system integration of our products, but we also craft the design flows, influence Electronic Design Automation (EDA) tools, and build the knowledge base that makes custom SoC and CPU chip design possible. At Arm, our work goes beyond multiple divisions where we drive improved implementation for Arm and our partners. A key component of this is around the development of comprehensive implementation and analysis methodologies. Responsibilities: Synthesis, Physical design, and implementation of CPU cores, system interconnect, and other Arm IP. Analyze design timing, area, and power to help improve the quality of Arm IP. Develop and deploy new methodologies to improve implementation efficiency and results. Support and develop detailed implementation analysis and data-mining methodologies. Work with implementation and physical IP RTL design teams to drive analysis and optimization of our IP. Converting R&D concepts into real implementation solutions. Enable our partners to achieve the best possible quality of results. Required Skills and Experience: Bachelor s or Master s degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields. 8+ years of proven experience in ASIC Implementation, Physical design, STA and Timing closure, Structured clock tree, PDN analysis, DFM, and Physical verification. Possess a high level of dedication, initiative, and problem-solving skills. Experience in crafting and adopting new silicon implementation techniques and methodologies, and promoting their use with international teams. Previous experience in and knowledge of the entire IC design flow, from RTL through to GDS2. Experience working closely in top and block-level Synthesis, Floorplanning, Place and Route, CTS, logical and physical optimization, timing closure, and power analysis flows. Proven programming and scripting skills (e.g., Tcl, Perl, and R). Nice To Have Skills and Experience: Knowledge around Arm-based SoCs! Experience with a wide range of programming, scripting & data presentation languages (e.g., Tcl, sh, csh, make, R, C, C++, Java, JS, HTML, Perl, Python, and Ruby). Experience with low-power design techniques (power gating, voltage/frequency scaling). Experience with Verilog RTL design. Experience with ATPG tools and/or production testing. In Return: Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate on the basis of any characteristic. #LI-KR2 Qualification : Bachelors or Masters degree equivalent in Electrical Engineering, Computer Engineering, or other relevant technical fields.

Job Title: CPU/Core Design Engineer (Intern) Job Description: Join Intel s Core and Client Development Group (C2DG) and contribute to the development of leading-edge CPU and Core technologies. In this role, you will be involved in CPU/Core design activities across various domains, supporting Intel s ongoing and next-generation Core CPUs. Key Responsibilities: Contribute to CPU/Core logic design for Intel s high-performance processors. Support pre-silicon verification, system validation, and firmware development. Assist in physical design, layout, and DFT (Design for Testability) engineering. Work with cross-functional teams to ensure high-quality and efficient CPU designs. Utilize industry-standard tools and methodologies for design and validation processes. Qualifications & Requirements: Educational Qualifications: Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in: Microelectronics & VLSI Digital System Design Computer Architecture Preferred Skills: Logic Design and digital circuit design fundamentals. Pre-Silicon Verification using simulation and validation techniques. Physical Design & Layout methodologies for semiconductor products. DFT (Design for Testability) Engineering. System Validation for ensuring reliability and performance. Firmware development related to CPU architecture and microarchitecture. About the Core and Client Development Group (C2DG): The Core and Client Development Group (C2DG) is a global organization responsible for the development and integration of SoCs, Core processors, and critical IPs that power Intel s flagship products. C2DG drives the client roadmap for Intel s Client Computing Group (CCG), delivers server-first cores for Data Center Group (DCG), and invests in future disruptive technologies. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer, ensuring fair consideration for all applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under local law. Intel offers a highly competitive total compensation package, including: Competitive pay, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Opportunities for professional development and career growth. Qualification : Currently pursuing a Postgraduate Degree (M.Tech or equivalent) from a reputed institute in:

Job Title: Power Optimization & Performance Engineer Windows Platforms Job Description: Intel is seeking a Power Optimization & Performance Engineer to drive power efficiency and responsiveness enhancements across Windows platforms. The role involves deep analysis of software workloads, power-performance tuning, and debugging complex system-level issues to optimize Intel s laptop and desktop platforms. The engineer will work closely with platform architects and cross-functional teams to define power-performance metrics, develop battery life improvement strategies, and drive forward-looking technology readiness initiatives. Key Responsibilities: Power & Performance Analysis: Perform in-depth analysis of software flows at the trace, thread, and process ID levels to identify power optimization opportunities and performance bottlenecks. Platform Power Optimization: Leverage state-of-the-art analysis tools to identify and resolve battery life and performance issues in domains such as Graphics, Multimedia, Display, Imaging, and CPU. Technical Leadership & Troubleshooting: Diagnose complex system-level power and performance issues, demonstrating strong debugging expertise in Windows-based Intel platforms. Cross-Team Collaboration: Work with platform architects and engineers to define power-performance metrics, optimize power delivery across SoC components, and influence next-generation platform architectures. Windows OS & Driver Optimization: Identify and drive power savings features or performance tuning opportunities into current and next-gen Intel platforms. Collaborate with OS and driver teams for power-aware enhancements. Future Technology Readiness: Analyze expected vs. actual platform behavior, propose forward-looking enhancements, and influence SoC and Windows OS architectures. Qualifications & Experience: Educational Requirements: B.Tech/M.Tech in Electronics or Computer Engineering or related fields. Technical Expertise: Embedded Systems & Software Development: Experience in software/firmware development, integration, or validation. Platform Power Management: Understanding of CPU/SoC architecture, power delivery, sensors, memory, storage, display, multimedia, and imaging subsystems. OS & System Debugging: Strong grasp of Windows OS fundamentals, system-level debugging, and exposure to firmware & device drivers. Windows Debug Tools: Experience with Windows Driver Debugging and Windows Debug tools (preferred). Power & Performance Optimization: Hands-on experience with power-performance measurement, analysis, and benchmarking. Analytical & Problem-Solving Skills: Ability to troubleshoot complex system issues and propose efficient power-saving techniques. Excellent Communication & Collaboration: Strong ability to interact across teams and drive technical discussions. About Intel s Client Computing Group (CCG): The Client Computing Group (CCG) drives Intel s PC business strategy and product development, spanning notebooks, desktops, 2-in-1s, and all-in-ones. As Intel s largest business unit, CCG is dedicated to enhancing PC experiences, fostering innovation, and delivering market-leading computing solutions. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a highly competitive compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.Tech/M.Tech in Electronics or Computer Engineering or related fields.

Job Title: Senior Technical Lead Software Engineering General Summary: Qualcomm Technologies Inc., a global leader in Snapdragon SoCs, is the largest provider of chipset solutions for Microsoft Windows on Snapdragon products. As part of our commitment to developing next-generation solutions, we seek a highly skilled Senior Technical Lead Software Engineering to drive innovation and excellence in our compute platform solutions. The ideal candidate is a self-motivated leader with excellent verbal and written communication skills and a proven ability to collaborate with engineers, partners, and customers across geographies. This role requires experience working with senior management in a corporate environment and the ability to take a hands-on technical leadership approach, diving into technical details and problem-solving as needed. Key Responsibilities: Software Development & Validation: Lead driver development and validation for compute platforms consisting of ARM cores, GPUs, and DSPs. Perform smoke testing, test scenario development, and issue troubleshooting to ensure product reliability and quality. Provide technical guidance and mentorship to software engineering teams. Collaboration & Stakeholder Engagement: Interface with cross-functional development and test teams, ensuring effective communication and seamless execution. Collaborate with OEMs for feature updates, over-the-air (OTA) updates, and test plan development. Drive large-scale software validation efforts across Windows, Linux, Android, and Integrity platforms. Data Analysis & Performance Optimization: Utilize big data tools and platforms to manage and analyze large datasets for software performance improvement. Optimize and validate multimedia drivers across audio, video, camera, display, and graphics components. Technical Expertise & Innovation: Demonstrate strong familiarity with ARM architecture and a solid understanding of CPU, GPU, and NPU architectures. Develop and optimize software using C, C++, Python, and other programming languages. Leverage tools like Power BI for data-driven decision-making. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field with 18+ years of Software Engineering experience. OR Master s degree with 15+ years of experience. OR PhD with 12+ years of experience. 2+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications: 9-12 years of experience in driver development, validation, and compute platform software engineering. Proven experience in leading large teams responsible for software validation and development. Hands-on experience with multimedia/embedded applications and driver validation on Windows, Linux, Android, or Integrity platforms. Experience managing and analyzing large datasets using big data tools and platforms. Familiarity with ARM architectures, CPU/GPU/NPU architecture. Strong analytical, debugging, and troubleshooting skills for large-scale software systems. Be part of a pioneering team that develops cutting-edge solutions for Windows on Snapdragon. Work in a collaborative and innovation-driven environment with top industry professionals. Enjoy competitive compensation, career growth opportunities, and access to cutting-edge technologies.

About NVIDIA NVIDIA has continually reinvented itself. From pioneering the GPU fueling the growth of the PC gaming industry and transforming modern computer graphics to revolutionizing parallel computing, we have consistently shaped the future of technology. Today, NVIDIA GPUs drive innovation in artificial intelligence (AI), providing highly scalable, parallel computation that powers groundbreaking advancements across industries. We are a company that thrives on learning, evolution, and tackling the world s most complex challenges. Join us, and you ll be part of a diverse, innovative, and supportive team that inspires everyone to achieve their best work. About the Role: SOC Design Engineer The System-On-Chip (SOC) group at NVIDIA is expanding! As the complexity of SOCs grows with chips now integrating tens of billions of transistors we are seeking a talented SOC Design Engineer with a passion for RTL integration and chip-level front-end design. This role focuses on padring design, pinmuxing, SOC assembly, and retiming. If you enjoy developing methodologies and automation solutions to optimize SOC creation, this is the opportunity for you. In this role, you will work on NVIDIA s advanced Tegra SOCs, collaborating closely with cross-functional teams, including System Architecture, Physical Design, CAD, and DFT. You will help define and implement scalable and efficient SOC design methodologies for future technologies. What You ll Be Doing Drive SOC assembly and design chip-level functions for Tegra SOCs. Perform front-end design quality checks, reviews, and collaborate with cross-functional teams to resolve issues. Oversee SOC execution across key milestones by defining, tracking, and managing complex dependencies with multiple stakeholders. Develop system-level methodologies, tools, and IPs to enable efficient and scalable SOC design. Identify and address inefficiencies in front-end chip implementation processes, implementing solutions for continuous improvement. What We Need to See B.Tech or M.Tech in Electronics Engineering or a related field. 2+ years of proven experience in chip design, with a focus on SOC integration and design automation. (Experience with padring design and fuse/floorsweep is a plus.) Strong analytical and problem-solving skills. Proficiency in RTL design (Verilog) and knowledge of SOC design/implementation flows. Experience with scripting languages such as Perl, Python, or other industry-standard tools. Exposure to multiple chip design functions, enabling collaboration and problem-solving across diverse teams. Excellent communication and collaboration skills with a team-oriented mindset. Bonus Skills: Experience in SOC verification, synthesis, physical design, and DFT. Familiarity with RTL build flows and Makefiles. At NVIDIA, you ll work on technologies that make a lasting global impact. We believe in fostering a diverse, inclusive work environment where everyone can grow and thrive. NVIDIA is proud to be an equal opportunity employer and does not discriminate based on race, religion, gender identity, age, disability status, or any other protected characteristic. Qualification : B.Tech or M.Tech in Electronics Engineering.

We are looking for a System Software Architect Programmable Vision Accelerator. As the market leader in deep learning and parallel computing, NVIDIA is seeking an expert system software architect to lead the design and implementation of firmware and driver stack for NVIDIA's Programmable Vision Accelerator (PVA) engine in the Tegra SoC platform. As a Software Architect, you will join a team of software engineers to create and evolve an essential part of the software stack responsible for scheduling and execution of highly optimized computer vision and machine learning kernels for specialized DSP hardware. You will use your design abilities, coding expertise, and creativity to help deliver innovative real-time firmware and kernel mode drivers for a low power, high performance computer vision accelerator engine. You will be architecting and developing new features and improvements to realize the groundbreaking potential of NVIDIA mobile systems, ranging from self-driving cars, intelligent video analytics and autonomous mobile robotics. You will need to demonstrate excellent technical leadership, communication, interpersonal, and analytical skills as well as a real passion for performance-oriented software engineering. If this sounds like a fun challenge, we want to hear from you! What you will be doing: Evolve and define software architecture for future NVIDIA's Programmable Vision Accelerator (PVA) chips and enhance the functionality of currently shipping products. Design and write custom embedded software for PVA engine to meet product and hardware requirements at the SoC level. Help defining forward-looking strategy and improvements to the PVA algorithms and system architecture. Review hardware specifications and map algorithms to the architecture. Participate in the bring-up of the new generation of the world's most advanced SoC. Collaborate closely with other teams and software/hardware architects across NVIDIA to support the architecture, design, creation, integration, and validation of PVA software under a common SoC umbrella. Provide technical support and guidance for internal and external customers. Mentor and guide technical development of the less experienced team members What we need to see: College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience 10+ years of working experience in embedded industry, including 5+ years in technical leadership role Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling. Deep understanding and working experience with embedded technologies including DSP, computer vision and image/signal processing. Excellent software development skills (C, C++) and outstanding problem-solving capabilities. Proven expertise in architecting embedded software and development of highly optimized code for DSP, SIMD and/or VLIW processors Experience with embedded Linux and/or QNX. Outstanding interpersonal skills with ability to work in a global and diverse team operating in a fast-paced environment. Good understanding of safety-critical software principles with experience in automotive or other highly regulated industries Ways to stand out from the crowd: Experience with ISO 26262 and IEC 61508 or equivalent quality/safety processes. Understanding of software safety and safety development processes is a major plus. Consistent record to effectively guide and influence in a technically strong dynamic environment. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. Qualification : College degree (preferably PhD or MS) in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience

Experience Level: 4+ years (Bachelor s), 3+ years (Master s), or 2+ years (PhD) Preferred Domains: Embedded Systems, Mobile, IoT, Automotive General Summary: We are seeking a highly skilled Systems Engineer with experience in post-silicon validation, system modeling, and power-performance optimization. The ideal candidate will work on cutting-edge embedded systems with a focus on CPU, GPU, and AI workload performance. This role offers an opportunity to collaborate with cross-functional teams to optimize SoC performance and contribute to next-generation product innovations. Preferred Qualifications: Experience in as many of the following areas is desirable: Embedded Systems & Mobile/IoT/Auto Domains: Hands-on experience with complex embedded systems and SOC performance. Post-Silicon Validation: System validation, performance analysis, and feedback to influence future product development. Power & Performance Analysis: Analyzing power-performance data for various CPU, GPU, and AI workloads/benchmarks. System Modeling & Profiling: Expertise in power/performance use cases, SOC profiling, PPA tradeoffs, and product qualification. CPU Microarchitecture: Knowledge of cache, latency, bandwidth analysis, and optimization. Linux/Android Kernel Development: Experience with device driver development, Android architecture, and system programming. Power Optimization: Experience with DVFS/DCVS governors and power management at the system level. Hands-On Lab Experience: Familiarity with DAQs, oscilloscopes, JTAG, ARM Developer Studio, and power data acquisition. Automation & Scripting: Proficiency in Python, shell scripting, ADB shell, and automation environments for Linux/Android systems. Collaboration & Leadership: Ability to work with internal teams and external partners for analysis and optimization. Acts as a tech lead and provides guidance to engineering teams. Tools & Version Control: Exposure to Git, Jira, Android, and QTI tools. Key Responsibilities: Perform post-silicon validation of SoC performance and architecture. Analyze and optimize power-performance trade-offs in collaboration with architecture teams. Develop and enhance tools to assist in performance analysis and workload characterization. Drive power and performance optimization for CPUs, GPUs, and AI workloads. Provide technical leadership and guide teams on system-level optimization and validation. Collaborate with internal and external teams to achieve performance goals. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of relevant experience. Master s degree in Engineering, Information Systems, Computer Science, or a related field and 3+ years of relevant experience. PhD in Engineering, Information Systems, Computer Science, or a related field and 2+ years of relevant experience. Skills: Strong understanding of computer architecture and OS fundamentals. Excellent communication and presentation skills. Ability to manage tasks independently and work in a fast-paced environment.

Job Description: We are seeking a highly skilled and experienced CPU Verification Engineer with a focus on ARM and NCC-based ARM architecture. This role requires a deep understanding of CPU microarchitecture, SOC integration, and verification methodologies. The ideal candidate will lead verification efforts, collaborate with cross-functional teams, and mentor junior engineers to ensure high-quality CPU design verification. Key Responsibilities: Lead and execute verification plans for CPU designs based on ARM and NCC-based ARM architecture. Develop and enhance testbenches and verification environments using advanced automation techniques. Collaborate with design and architecture teams to identify and resolve specification gaps, ensuring comprehensive verification coverage. Perform SOC-level verification, including integration and validation of CPU subsystems. Utilize industry-standard verification tools and methodologies such as UVM, SystemVerilog, and simulation/emulation platforms. Mentor and guide junior verification engineers, providing technical leadership and support. Continuously improve verification processes and methodologies to enhance efficiency and effectiveness. Qualifications: Bachelor s or Master s degree in Electrical Engineering, Computer Engineering, or a related field. 8 14 years of experience in CPU verification, with a focus on ARM and NCC-based ARM architecture. Proficiency in verification languages and methodologies, including SystemVerilog, UVM, and scripting languages (Python, Perl, etc.). Strong understanding of CPU microarchitecture, memory hierarchy, and SOC integration. Experience with simulation, emulation, and formal verification tools. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills, with the ability to work in a collaborative environment. Preferred Qualifications: Experience with low-power design verification and performance verification. Knowledge of hardware security verification techniques. Familiarity with machine learning and AI-based verification approaches. Minimum Qualifications: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, or related field and 2+ years of hardware engineering or related work experience. OR Master s degree in Computer Science, Electrical/Electronics Engineering, or related field and 1+ year of hardware engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, or related field.

Experience: 4+ Years (Bachelor s) | 3+ Years (Master s) | 2+ Years (PhD) Company Overview As a leading technology innovator, Qualcomm pushes the boundaries of what s possible to enable next-generation experiences and drive digital transformation, helping to create a smarter, connected future for all. Qualcomm Hardware Engineers collaborate with cross-functional teams to plan, design, optimize, verify, and test cutting-edge products, enabling transformative solutions in the hardware space. Role Overview The SRAM Design Engineer will be responsible for the design, verification, and optimization of SRAM (Static Random-Access Memory) blocks for advanced process nodes. This role requires deep expertise in custom circuit design, low-power methodologies, and process technology trends. The ideal candidate will work on complex memory designs, collaborate with cross-disciplinary teams, and contribute to Qualcomm's next-generation hardware solutions. Key Responsibilities Design and develop SRAM circuits for advanced technology nodes (FinFET and beyond). Perform schematic design, simulation, and verification of memory circuits to meet performance, power, and area (PPA) targets. Optimize designs for low-power, high-speed, and high-density applications. Collaborate with layout engineers to ensure design compliance with foundry design rules and assist in layout optimization. Analyze and resolve design for manufacturing (DFM) and yield issues. Work closely with cross-functional teams (architecture, verification, and technology teams) to meet design specifications and performance requirements. Utilize SPICE simulations and other EDA tools to validate circuit functionality and robustness under process, voltage, and temperature (PVT) variations. Contribute to the post-silicon bring-up and debugging of memory-related issues. Qualifications Minimum Requirements: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 4+ years of relevant work experience. OR Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field and 3+ years of relevant work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, or a related field and 2+ years of relevant work experience. Technical Skills: Expertise in SRAM design, simulation, and verification. Strong knowledge of circuit design principles, including timing, noise, and power analysis. Experience with advanced process technologies (FinFET, 7nm, 5nm, 3nm). Proficiency with SPICE-based simulators and EDA tools for circuit analysis. Understanding of memory architecture, power management techniques, and design for yield (DFY) methodologies. Familiarity with DFM practices, chip integration, and physical design constraints. Preferred Qualifications: Experience in low-power SRAM design and assist circuits (read/write assist). Knowledge of self-repairing memories and redundancy schemes. Exposure to silicon validation, post-silicon debug, and memory characterization. Excellent problem-solving and communication skills.

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience with cloud infrastructure. 5 years of experience in a technical role focused on AI infrastructure or related areas Experience building and operationalizing machine learning models. Experience with GPU programming (e.g., CUDA, OpenCL) and optimization techniques. Preferred qualifications: Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure. Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators. Experience with performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, Tensorboard). Experience designing/architecting large-scale infrastructure farms for specialist AI use cases. Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs. Excellent communication, presentation, and teamwork skills. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Customer Engineer for AI Infrastructure, you will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on GPUs, accelerators (including FPGAs and ASICs), and Google TPUs. You will work closely with Sales, Product Management, and Engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Be a trusted advisor to customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure. Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking. Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Travel to customer sites and events as needed. Be responsible for business growth and workload acceleration on AI infrastructure products and solutions for GCP. Qualification : Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.

Job Overview: We are seeking highly skilled and motivated System-on-Chip (SoC) Performance and Power modeling (PnP) Architects to join our diverse team at Arm! Our team focuses on PnP Analysis of Arm SoCs/SoPs (System-on-Package), System level infrastructure (SoC/SoP/Rackscale/Podscale) build together in pre- and post- silicon environments. Working closely with design teams and customers, we develop best-in-class silicon platforms across markets such as servers, accelerators, client, infrastructure, IoT, and automotive. Responsibilities: Efficiently drive and resolve architectural investigations and PnP tradeoff studies across various SoC (CPU, GPU, NPU, Media, IO, interconnects, memory controllers) and Platform components. Perform detailed workload characterization to identify performance bottlenecks and propose architectural solutions. Collaborate, coordinate, and drive consensus across architects, and IP teams. Conduct workload compaction to facilitate effective modeling. Create profiling and visualization frameworks to analyze with right level of abstraction. Contribute to automation for streamlining production processes Stay up-to-date on latest advancements in application development, workload characterization, and performance/power/thermal analysis Required Skills and Experience : 8+ Years of Experience in SoC Performance Modeling and analysis in the semiconductor industry. A background in Electrical Engineering, Computer Engineering, or Computer Science with an expertise in computer architecture, and microarchitecture. Understanding of general-purpose CPU/GPU microarchitecture, including knowledge of areas such as processor pipelines, caches, and memory hierarchy. Proficient in C/C++ for programming for large-scale software development, familiarity with SystemC TLM, and Python scripting language skills. Excellent communication, and interpersonal skills with ability to convey effectively complicated solutions. Nice To Have Skills and Experience : Knowledge of interconnect micro-architecture design, PCIe/CXL and CHI protocols. Understanding of workloads used for performance optimization under system constraints (TDP, Limits). Ability to work in a fast-paced environment with changing priorities and requirements Experience with Unix, scripting, and source control systems (e.g., Git, Subversion). In Return: We are proud to have a set of behaviors that reflect our culture and guide our decisions, defining how we work together to defy ordinary and shape outstanding! Partner and customer focus Teamwork and communication Creativity and innovation Team and personal development Impact and influence Deliver on your promises #LI-KR2 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Qualification : A background in Electrical Engineering, Computer Engineering, or Computer Science with an expertise in computer architecture, and microarchitecture.

Job Description Publicis Sapient is looking for a performance engineer to join our team of bright thinkers and doers. You ll use your problem-solving creativity to ensure our high-end technology solutions that resolve our clients most complex and challenging problems across different industries, perform extraordinarily well. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions. Your Impact: Identify bottlenecks via creative tooling and analysis which could lie in the infrastructure, frontend, services, database, integration, device, CDN or massive code base catering across multiple regions This electrifying position in the performance engineering landscape will bring system-level performance experience to bear on the problems we have yet to both discover and pursue. Combine your technical expertise and problem-solving passion to work closely with clients that would help us to make customers experiences as thrilling as dream come true. Qualifications Your Skills & Experience: 6-9 years of experience in performance testing and engineering frameworks of complex enterprise applications Experience in CI /CD integration of load tool and building the framework Delivered at-least single enterprise web applications for end-to-end performance bottleneck identifications, tuning, fixing, and optimization Platform exposure on AEM / SiteCore, ATG/Hybris/WCS/Magneto.Good hands-on experience in tuning Oracle/ MySQL/SAP Hana/MongoDB/db2. AWR report study for Oracle analysis and Deep knowledge of database performance Hands-on experience with leading APM tools like Appdynamics DynaTrace/ NewRelic/Datadog and able to customize dashboards concerning application and infrastructure performance counters Exposure to designing custom dashboards for log aggregation tools like Splunk/ELK/Sumo Logic/Grey Log. Proficient in Thread dump, Heap dump, and CPU Dump analysis through tools as well as manually. Additionally, connection pool, DB pool tuning, and fixing Frontend/client-side performance optimization and fixing issues. Hands-on experience on Mobile Native app real device performance tuning and fixing issues Exposure to load generation tools like Gatling, Jmeter, and Loadrunner Work Load Model designing using production Analytics tools like Google Analytics/Omniture/WebTrends Knowledge on Cloud, DevOps, Kubernetes. Scripting Language exposure in Java Scripts/Perl/ Python/Shell Knowledge of emerging technologies, various platforms, tools, and products in the performance engineering space Set Yourself Apart With: 2+ years of experience in applications development in Core Java Programming Sound knowledge and hands-on experience with Data Structures, Algorithms, Hibernate, Spring, and Spring boot. Good hands-on experience in micro-services development and optimizations Experience in service virtualization and ability to write effective mocks/ stubs Good hands-on static code review and can share the key review comments. Hands-on exposure and deep understanding in at least one of the leading cloud providers GCP/AWS/Azure Additional Information A Tip from the Hiring Manager: This person should be a groundbreaking individual, highly organized, adapt quickly to changes in client requirements and thrive in a fast-paced organization. Additional Information Gender Neutral Policy 18 paid holidays throughout the year Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Qualification :