Engineer 6 Jobs

Lead Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description Responsibilities: 1. Lead a team of data engineers in developing and implementing Big Data solutions; 2. Design

Work Flexibility: Onsite This is a fixed term contract (inc full benefits) that will run until 31st August 2028. Position Summary: The Senior Engineer, Quality Assurance will establish, improve and maintain the quality system by providing quality engineering support within operations and other business functions. Advocate and lead the execution of initiatives & projects to enhance quality performance within the business. Ensure to deliver high quality products that meet customer needs. Ensure compliance with regulations and standards. Essential Duties & Responsibilities: •Work closely with operations and the business functions to ensure quality performance of product and processes •Collaborate cross-functionally with internal and external teams to resolve quality issues •Manages internal and supplier-driven Non-Conformances (NCs), ensuring timely investigation and closure •Owns Corrective and Preventive Actions (CAPAs) through root cause analysis to closure •Disposition of non-conforming product through MRB, issuing NCs as appropriate •Initiates and leads in the development and improvement of the manufacturing processes for existing and new products. •Review and approval of change management activities, challenges change effectiveness and drives strong review. •Interpret KPI trends, act as necessary, driving a continuous improvement process. •Support the execution and analysis of manufacturing complaints and product field actions •Provide QA support during internal and external audits •Advocate of Human Factor practices, proficient in the science of Human Factor identification and mitigation. •Proficient in risk management practices and concepts and applies knowledge to manufacturing operations and identify opportunities and weaknesses •Lead and participate

Job Details: Job Description: Are you passionate about software engineering, performance optimization, and developer tools? Join Intel as a Development Tools Software Engineering Graduate Intern and help build the next generation of technologies that empower developers worldwide. In this role, you will work alongside experienced software engineers, architects, and product teams to develop and enhance cutting-edge software tools used across Intel's engineering ecosystem. You'll gain hands-on experience in toolchain integration, performance analysis, GPU optimization, and feature development while contributing to real projects that impact products used around the globe. This internship offers a unique opportunity to strengthen your technical skills, learn from industry experts, and accelerate your career in software engineering. About the Team The Data Center Group (DCG) is driving innovation across cloud, enterprise, and data center computing. Our teams develop high-performance technologies that power critical workloads, enable digital transformation, and accelerate technological advancement worldwide. As part of DCG, you'll have the opportunity to work on meaningful projects at the intersection of software, hardware, AI, and high-performance computing. What You'll Do As a Development Tools Software Engineering Graduate Intern, you will: Contribute to the development and optimization of software engineering tools, including analyzers, compilers, debuggers, and performance profiling solutions. Collaborate closely with software engineers, architects, and product teams to align tool capabilities with evolving platform and business requirements. Learn and apply GPU optimization techniques through practical projects and real-world case studies. Su

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview Mastercard is seeking a Technical Lead to join the Cardholder Services, Global Benefits team in Pune, India. The team develops next-generation products and services that enable cardholders to securely and efficiently access and use benefits across digital channels. Role As a Technical Lead, you will provide hands-on technical leadership across the design, development, integration, testing, and delivery of CHS applications. You will lead technical design and architecture decisions across Java/Spring Boot services, React/Angular applications, APIs, databases, event-driven integrations, and cloud platforms. You will drive engineering best practices, technical evaluations and PoCs, resolve complex technical issues, and ensure solutions are scalable, secure, resilient, and production-ready. You will collaborate with Product, Engineering, Architecture, and QE teams and provide technical guidance and mentoring to engineers. Skills / Requirements Strong hands-on experience in Java, J2EE, Spring, and Spring Boot Strong hands-on experience with React and/or Angular Deep experience with REST APIs, Web Services, and microservices architecture Strong experience with Oracle/SQL, including query optimization and data validation Experience with K

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. You will be responsible for the design releases required generation of artwork files, ODB++, and electronic PCB documentation. Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: B.Sc. in Electronic Engineer degree or equivalent experience. 5+ years of experience in high-speed design. Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. Be an authority in using Cadence Allegro PCB design tools. Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. Knowledge in PCB ma

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible. What you’ll be doing: Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, t

NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components. Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages. What you'll be doing: Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance. Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate. Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference. Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths. Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution. Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure

For three decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass gaming, artificial intelligence, media and entertainment, product design, healthcare and many other areas of scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team. Our Event Tech Ops team powers the technology behind hundreds of NVIDIA events worldwide each year—from major moments like CES and GTC to CEO Keynotes, product launches, demos, and everything in between. We provide the hardware, infrastructure, and hands-on technical support that brings every experience to life. We are now looking for an Event Tech Ops Engineer: A cool, fun, technical individual who will be working with various teams on NVIDIA’s latest products. This unique role requires a person who thrives in a fast-paced, highly dynamic environment and can adapt to a variety of challenges. What you'll be doing: Lab and Event Support: Manage, drive and autonomously provide event and tradeshow technical support for Marketing events such as CES, GPU Tech Conference and product launch events Conduct system builds, maintenance, imaging, testing and benchmarking for various OS and HW platforms Perform QC and maintenance of inventory and equipment Collaborate with multiple business orgs such as Marketing, Engineering and Sales for product testing, demos and coordination Maintain and update as

NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within NVIDIA’s Data Center and HPC environments. You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring NVIDIA products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology! What you’ll be doing: Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios Compose and build complex testbed topologies that emulate customer environments Implement, run and optimize integration test plans including functional, regression, and performance testing Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution Collaborate with automation teams Analyze and optimize network performance, latency, and efficiency Provide clear status updates, reports, and insights on system quality and performance What we need to see: B.Sc. in Computer Science, Electrical Engineering, or related field (or equivalent experience) 8&#43; years of experience in networking, system validation, or related engineering roles Strong hands-on experience with Linux-based systems Deep understanding of networking protocols (TCP/IP, UDP, Ethernet, VLANs, L2/L3) Experience with routing, switching, and modern data center network architectures<

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary Software Test Engineer II is responsible for ensuring the quality, reliability, and performance of software products through the design, development, and execution of comprehensive test strategies. Working within an Agile development environment, this individual collaborates closely with software engineers, product owners, and cross-functional teams to identify defects, validate requirements, and drive continuous quality improvements throughout the software development lifecycle. This role is expected to leverage AI-assisted development and testing tools to enhance productivity, improve test coverage, accelerate defect detection, and continuously optimise software quality processes. The successful candidate will demonstrate a quality-first mindset while embracing emerging technologies and modern engineering practices. Scope of Responsibilities Develop, execute, and maintain manual and automated test cases based on product requirements and design specifications. Design and implement test automation frameworks and testing tools to improve test coverage and efficiency. Leverage AI-assi

NVIDIA has advanced computer graphics, PC gaming, and accelerated computing for more than 25 years. We are developing the next era of computing through AI, supported by dedicated people and a diverse, collaborative environment. We are seeking a SWQA Test Developer Engineer to join the Mobile QA Group and help deliver high-quality products built on NVIDIA Tegra systems on a chip (SoCs). You will be validating Nvidia Shield TV supporting AI-enhanced upscaling, 4K HDR, GeForce NOW cloud gaming, built in Google Assistant, which also supports Dolby Vision, Dolby Atmos, etc. You will work on AI platforms running Linux, Android, and proprietary operating systems, collaborating with engineers, workstream leads, and release managers. What you will be doing: Apply AI-powered tools and agents throughout the test development lifecycle to accelerate test generation, code development, test analysis, coverage improvement, log analysis, regression triage, root-cause analysis, and code reviews. Build and use an E2E AI Agentic Workflow with existing and custom agents and skills for every SDLC phase. This will expedite key objectives and important metrics of test and quality engineering. Develop AI framework for test strategies, plans, and detailed test cases from customer requirements; regularly implement tests for software features on Tegra-based platforms using AI-powered tools. Review product requirements, specifications, and technical designs, and provide feedback to improve testability and coverage. Develop applications, test tools, and automated tests using NVIDIA test frameworks for Tegra platforms. File clear bug reports, investigate failures, and work with engineers to triage issues and verify fixes. Collaborate with project management, hardware, and software teams; analyze priority bugs and share periodic quality metrics and reports with collaborators. Improve testing processes and

Pfizer Singapore is recruiting permanent employees for manufacturing site expansion of Pfizer Asia Manufacturing Pte Ltd (PAMPL) in Singapore POSITION SUMMARY Will be responsible for leading and driving Fire Safety & Emergency Management, Business Continuity Management and Security Management Systems to ensure compliance of all applicable laws and regulations, codes of practices and Pfizer EHS & Security Standards and provide technical guidance to support API plant operations not limited to essential programs such as risk assessment, job safety analysis, contractor safety, working at height, permit-to-work, lockout & tag out, electrical safety, confined space entry, fire safety, loss prevention, emergency preparedness, business continuity planning and physical security. Accountable for Drive Leader Standard Work to ensure compliance with all applicable local laws and regulations. Drive Internal audit to ensure compliance with applicable laws and regulations, Pfizer Global EHS & Security standards and recommended practices. Lead Site Emergency Preparedness and setup Company Shift Emergency Response Teams to respond Site emergency (e.g. fire, gas leak, large spillage, medical emergency) and mitigate the impacts of incident to minimize production downtime. Drive Operational Readiness of Security & Loss Prevention Management System and Programs and develop Business Continuity Management System. POSITION RESPONSIBILITIES Organize and train Shift Site Incident Commanders & Shift Emergency Response Teams (SERTs) and contract security personnel, and conduct performance management review with his/her direct reports (e.g. Contract Shift Security Officers). Ensure business activities are in compliance with all applicable WSH regulation, local fire safety, loss prevention and security laws & regulations, and Pfizer EHS and Global S

We are now looking for a Senior ASIC Design Engineer. NVIDIA is seeking ASIC Design Engineers to implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing! What you'll be doing: As a key member of the GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications. Analyze architectural trade-offs based on features, performance requirements and system limitations. Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design. Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks. Work on a broad list of IPs such as GPU's work scheduler, time distribution system, interrupt controllers, and DMA engines. Architect features to help silicon debug and support post-silicon validation activities. What we need to see: Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science. 8&#43; years of meaningful work experience. Experience in micro-architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches. Great understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis. Exposure to Digita

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us! NVIDIA is redefining what’s possible with AI, and our Relational Foundation Model team is at the forefront of that mission. We’re building a single, unified foundation model that understands the structure and relationships within any relational database or heterogeneous graph — a fundamentally new approach to enterprise AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you. What you’ll be doing: Collaborate with researchers/engineers to

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments. Many enterprises recognize accelerated computing is vital to handle their large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency in batch ETL workloads. Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are developing an open source plugin to accelerate Spark applications on GPUs without any code changes. What you'll be doing: Enable C&#43;&#43; native execution of Spark operations on CUDA Develop CUDA/C&#43;&#43; libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions Provide recom