Total 43 job vacancies by IN01 NVIDIA Graphics Bengaluru

We are looking for a Senior Digital/Memory Mask Design Engineer – someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed digital memory circuit designs. 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 tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.

What you'll be doing:

• Implement IC layout of innovative, high-performance, high-speed CMOS integrated circuits in foundry CMOS process nodes in 3nm,5nm, 7nm and lower nodes following industry standard methodologies.

• Deliver layouts for Full Custom Memory group specializing in digital Memory circuits.

• IP layout will comprise of significant digital components.

• Adopting and putting in place the best layout practices/methodology for composing digital Memory layouts

• Follow company procedures and practices for IC layout activities.

What we need to see:

• B.E/B Tech. / M Tech in Electronics or equivalent experience with 5+ Years of proven experience in Memory layout in advanced CMOS process.

• Detailed knowledge of industry standard EDA tools for Cadence.

• Experience with layout of high-performance memories of various types.

• Knowledge of Layout basics including the various types of bitcells, Decoder, LIO etc. (matching devices, symmetrical layout, signal shielding)

• Experience with floor planning, block level routing and macro level assembly.

• Detailed knowledge of top level verification including the EM/IR quality checks and detailed knowledge of layout dependent effects including LOD, Dummification, fills etc.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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 which are hard to seek, which only we can pursue, and which matter to the world. This is our life’s work: to amplify human inventiveness and intelligence.

NVIDIA is now driving innovation at the intersection of visual processing, high performance computing and artificial intelligence. We are looking for passionate, highly motivated, creative  engineers to be part of our HW architecture team. As part of this team, you would be working on projects that will help make our next generation visual computing, automotive, GPU, HPC  systems better. You will get to work on high performance CPU and Memory sub-systems, Next-Gen GPUs , NOC based Interconnect Fabric etc. Make the choice to join us today.

What you'll be doing:

• System level performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).

• Work on hardware models of different levels of abstraction, including performance models, RTL test benches ,emulators and silicon to analyze performance and find performance bottlenecks in the system.

• Understand key performance use-cases of the product. Develop  workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products.

• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.

• Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools.

• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.

What we need to see:

• BE/BTech, or MS/MTech in relevant area, PhD is a plus, or equivalent experience.

• 3+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures.

• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.

• Expert hands on competence in programming (C/C++) and scripting (Perl/Python). Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.

• Strong debugging and analysis (including data and statistical analysis) skills, including use for RTL dumps to debug failures.

• Hands on experience developing performance simulators, cycle accurate/approximate models for pre-silicon performance analysis is a strong plus.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you. Come, join our Deep Learning Automotive team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of low power features for the world’s leading SoCs and GPUs. This position offers the opportunity to have real impact in a dynamic, 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. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science.

The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. 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. NVIDIA is increasingly known as “the AI computing company.”

What you’ll be doing:

• Work on structural and functional verification of low power aspects of NVIDIA’s family of chips.

• Come up with test plans and coverage plans of these features.

• Write test cases, test bench components like assertions and coverage points, and own verification convergence.

• Collaborate with system level and unit level teams to cover the features well from functional, electrical, performance, and noise aspects.

• Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.

• Validate the effectiveness of the low power features on silicon.

What we need to see:

• BS/MS or equivalent experience with specialization related to Low Power techniques and Verification.

• 2+ years of experience.

• Fundamental understanding of power basics including transistor-level leakage/dynamic characteristics of VLSI circuits.

• Knowledge of power intent formats - UPF/CPF.

• Experience in Static Power check - tools like VCLP/MVRC or similar.

• Hands-on knowledge in Power aware dynamic verification - NLP/MVSIM or similar tools.

• Experience in design and verification tools (VCS or equivalent simulation tools, Verdi or other debug tools).

• Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).

Ways to stand out from the crowd:

• Good software programming skills. Python/Perl/C++ preferred.

• Confident debugging and problem-solving skills.

• Good communication skills and ability & desire to work as a great teammate.

With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking a passionate, creative, and highly motivated engineer to work on architectural power estimation for the world’s leading GPUs and SOCs. In this position, the responsibility includes development of advanced power models to estimate chip and board power under product driven use cases. You are expected to understand the high-level chip architecture, application use-cases, low power design techniques, process technology aspects which impact dynamic and leakage power, develop the estimation infrastructure, estimate power consumption under various scenarios. You will be working with architecture, design, synthesis, timing, circuit, and post silicon teams to accomplish your tasks.

This position offers the opportunity to have real impact in a dynamic, 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. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. 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. NVIDIA is increasingly known as “the AI computing company.”

What you’ll be doing:

• Architecture, development and correlation of power estimation models/tools for NVIDIA's chips

• Help architect and develop power models for use-cases, Idle power and IO power.

• Chip in to design the tools based on these models and their testing methodology/infrastructures

• Correlate and Calibrate the power models using measured silicon data

• Analyze and help decide the chip configuration and process technology options to optimize power/performance for Nvidia's upcoming chips

• Help study and contribute to Performance/Watt improvement ideas for Nvidia's GPUs and SOCs

What we need to see:

• B.Tech./M.Tech or equivalent experience with 2+ years of experience related to Power / Performance estimation and optimization techniques

• Strong fundamentals in power including transistor-level leakage/dynamic characteristics of VLSI circuits

• Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS)

• Strong background in power estimation techniques, flows and algorithms

• Good programming skills - Python preferred. Good skills with object-oriented programming and design.

Ways to stand out from the crowd:

• Exposure to lab setup including power measurement equipment such as scope/DAQ with ability to analyze board level power issues is a plus

• Exposure to power analysis EDA tools such as PTPX/EPS

• Good communication skills & desire to work as a great teammate

With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency.

What you'll be doing:

• Modeling and analysis of graphics and / or SOC algorithms and features

• Work in a team to document, design, develop tools to analyze and simulate, validate, and verify models

• Develop tests, test plans, and testing infrastructure for new architectures/features

• Code coverage analysis and reporting

What we need to see:

• Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) with 8+ years of relevant work experience or MS with 3+ years of experience or PhD with 2+ years of experience

• Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make) , toolchains (GCC, MSVC) and libraries (STL, BOOST)

• Computer Architecture background with experience in modeling with SystemC & TLM preferred

• Familiarity with Docker, Jenkins, Python, Perl

• Excellent communication and interpersonal skills and ability to work in a distributed team environment

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer with a real passion for computer architecture and technology? If so, we want to hear from you! Come join our Architecture team and help us craft the fastest and most power efficient GPUs and SoCs in their segment.

NVIDIA is seeking a motivated memory subsystem architects to work with a team to solve complex problems while optimizing performance, area, complexity, and power on leading-edge SoC systems. This team helps build new and innovative products tailored to NVIDIA’s world changing solutions for autonomous vehicles, mobile systems, deep-learning, and gaming. 

What you will be doing:

• Driving development of complex feature impacting the system

• Developing architecture and micro-architecture to improve the state-of-the-art in memory system optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.

• Performance modeling and simulation of features to improve memory system efficiency.

• Implementing and maintaining high-level performance and functional models.

• Analyzing benchmarks, application workloads, and performance simulation results to identify tradeoffs in areas of micro-architectural optimizations.

• Debugging performance and functional issues with high-level models, RTL simulation, and silicon.

• Working with various cross functional teams like ASIC design and verification, software, product development team, marketing in developing the comprehensive solution

What we need to see:

• Bachelors or Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field (or the equivalent experience). 

• 12+ years of meaningful work experience in SoC Architecture and development 

• Experience in domains of System MMU and address translation or interconnects would be a great positive

• Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. 

Ways to stand out from the crowd:

• Practical experience with MMU and address translation, performance modeling and analysis

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are looking for a Principal Engineer - Performance Analysis!

NVIDIA is currently seeking a Performance analysis Engineer with strong fundamentals  in HW and SW performance aspects for CPU and System level. This role provide and amazing opportunity to get first-hand experience in Nvidia’s CPU product line and influence and impact the roadmap. Nvidia has 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. We recently announced Grace CPU for HPC and AI workloads https://www.nvidia.com/en-in/data-center/grace-cpu/

Do you want to be part of the team that explores and defines the next generation of CPUs?

What you'll be doing:

• Plan and  execute performance characterization and analysis for leading edge Nvidia CPUs/SoCs and relevant SW workloads

• Detailed performance analysis of SW workloads on various HW solutions from competition

• Through performance analysis, help to understand the current and guide the development of future products

• Definition and development of tool chain and efficient workflows that enables the CPU and System performance analysis

• Partner closely with external vendors and internal teams on HW platforms and SW workload alignment

• Drive continuous improvement of workflows/processes

What we need to see:

• Strong understanding of computer system architecture and operating system fundamentals

• 15+ years of work experience in a relevant domain

• PhD or Master's or Bachelor's degree in EE/CS or related field, or equivalent experience

• Hands-on experience on Silicon and/or Pre Silicon platforms for performance analysis of complex CPUs/SoCs and SW workloads

• Knowledge of industry best practices and tool flows for performance analysis

• Experience with C/C+/Python languages, workflow automation and frameworks

• Strong HW and SW debugging skills on Silicon as well as Pre-Silicon environment

• Good communication skills and ability & desire to work as a great teammate across the global team are a must

Ways to stand out from the crowd:

• Detailed knowledge of the ARM and/or x-86 architecture

• Experience working with EDA tools and optimization

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

NVIDIA is searching for a highly motivated Engineering Manager for UI/UX for the NVIDIA NetQ team that is building a Network management and Telemetry system in cloud using modern design principles at internet scale. We are looking for an experienced hands-on leader with expertise in Cloud Applications and on-device tools to collect telemetry data. If you exemplify excellence and are capable of working with distributed teams, if you bring in a resilient mentality with the creativity to solve fast-paced issues as they arise, if you are hands-on in identifying gaps in our processes and putting the right people, architecture, and solutions in place, then this is the opportunity for you.

What you'll be doing:

• Leading a team of engineers that design, develop, validate, maintain, release, and operate Javascript, HTML and CSS implementations.

• Ensuring high usability and advocating UX patterns with customer/user focus.

• Proactively tackle and solve hard problems with high success rate.

• Collaborate with Product Management and rest of the engineering team to deliver the products and features.

• Participate in technical meetings, documentation efforts, and code reviews.

• Develop software design and implementation roadmaps to meet the company's business goals and metrics for availability, resiliency, and performance.

• Lead the development of innovative applications engineering tools and processes and proof-of-concept with a focus on innovative technologies, mainly focused around software-defined operations and CI/CD.

• Actively contribute to customer engagements.

• Hiring and mentoring team.

What we need to see:

• BS/MS degree in Computer science or related areas (or equivalent experience)

• 10+ years of overall experience in UI/UX Engineering roles, with at least 2 years as a manager

• Experience with Javascript, HTML5, CSS3.

• Deep understanding of frameworks like Angular, VueJS, or ReactJS.

• Experience in TypeScript, Redux, RxJS, or NgRx.

• Exceptional written and verbal communication skills

Ways to stand out from the crowd:

• Open to learn other languages including (but not limited) to Scala.

• Good at consuming large blocks of information from written word and able to write technical documents, when required.

• Passion to stay at the cutting edge and employ new technologies wherever relevant.

• Preferably worked on d3. Plus points if handled complex data visualizations about computer networks.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking 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

NVIDIA is seeking passionate, highly motivated, and creative senior design engineers to be part of its Graphics team working on the design of state of the art memory subsystem components used in their industry-leading Graphics Processors. This position offers the opportunity to have real impact in a dynamic, 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 exceptional 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.

In this position, you will be expected to make architectural trade-offs based on features, performance requirements and system limitations, come up with micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design. You will work with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and backend teams to accomplish your tasks.

What you’ll be doing:

• Own micro-architecture and RTL development of design modules.

• Micro-architect features to meet performance, power and area requirements.

• Work with HW architects to define critical features.

• Collaborate with verification teams to verify the correctness of implemented features.

• Co-operate with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable.

• Interact with FPGA and S/W teams to prototype the design and ensure that S/W is tested.

• Work on post-silicon verification and debug.

What we need to see:

• BS / MS or equivalent experience.

• 4+ years of design experience.

• Experience in RTL design of complex design units for at least two or three projects.

• Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).

• Deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug.

• Expertise in Verilog.

Ways to stand out from the crowd:

• Design experience in memory subsystem or network interconnect IP.

• Good debugging and problem solving skills.

• Scripting knowledge (Python/Perl/shell).

• Leadership experience in leading small 2-3 member teams.

• Good interpersonal skills and ability & desire to work as a part of a team.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The NVIDIA GPU and SoC Architecture group is seeking strong architects with great analytical skills and a deep understanding of system architecture and performance to use your skills creatively on processor and system architecture performance of full applications driving scalable improvements for all of our artificial intelligence/machine learning, automotive, geforce and high-performance computing products. This position offers you the opportunity to have a real impact on the hardware and software that underlies the most exciting trends in modern computing in the world. We are looking for someone who is passionate about and loves what you do and excited about creatively applying what you know to make a difference.

What you'll be doing:

• Performance analysis/ bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs).

• Work on hardware models of different levels of extraction, including performance models, RTL test benches and emulators to find performance bottlenecks in the system.

• Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption.

• Understand key performance usecases for the product. Develop  workloads and test suites targeting graphics, machine learning, automotive, video, compute vision applications running on these products.

• Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle.

• Develop required infrastructure including performance simulators, testbench components and analysis tools.

What we need to see:

• BE/BTech or MS/MTech, or equivalent experience in relevant area, PhD is a plus.

• 2+ years of relevant experience dealing with system level architecture and performance issues.

• Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, CPU architecture, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture.

• Solid programming (C/C++) and scripting (Bash/Perl/Python) skills. Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus.

• Strong debugging and analysis (including data and statistical analysis) skills, including use of RTL dumps to debug failures.

• Exposure to performance simulators, cycle accurate/approximate models or emulators for pre-silicon performance analysis is a plus.

• Excellent communication and organization skills.

• Ability to work in a global team environment.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is a leader in the field of computer graphics, PC gaming, accelerated computing and AI. Within NVIDIA, the Networking Business Unit is building chips, systems and software that are powering the most advanced data center and hyper-converged networks of today and tomorrow.

We are looking for a highly motivated software engineer with extensive experience in routing protocols and control plane software, to be part of our routing protocol development team. We work with and contribute significantly to

Free Range Routing, the preeminent open routing suite in the industry. Free Range Routing (FRR) is the routing protocol stack used by NVIDIA Cumulus Linux, the industry's most innovative open network operating system, built with a flexible open architecture and comprehensive automation capabilities. In addition, FRR is used on other NVIDIA products, and is also the routing protocol stack used on the open source network operating system SONiC. As a member of the routing team, you will be working on features and enhancements to protocols and technologies like BGP, EVPN, OSPF, PIM and Segment Routing as well as on Object Models, APIs and usability. We are a small team that prides itself on innovation and agility. You will be using the latest software development tools and techniques, and will gain unique knowledge of how the switch operating system works and how large scale EthernetAI networks are constructed.

What you’ll be doing:

• Design, develop, test and maintain new functionality and improvements in different routing protocols and related control plane software as well as object models and programmatic interfaces and APIs to the routing control subsystem.

• Collaborate with team members, architects and QA and Support teams on feature definition, development, release, and bug fixing.

What we need to see:

• BS or MS degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).

• A minimum of 5 years of software development experience that includes experience with at least one protocol among EVPN, BGP, PIM, OSPF, RIFT, or MPLS/SR.

• Strong and proven experience in C programming. Strong experience in Python programming.

• Knowledge of Yang data modeling and management protocols like SNMP, Netconf or gNMI.

• Strong technical abilities, problem-solving, design, coding, and debugging skills.

• Ability to deliver independently with minimum supervision.

Ways to stand out from the crowd:

• Significant hands-on experience with one of the aforementioned protocols

• Significant experience with Yang, Openconfig models, SNMP and/or Netconf/gNMI.

• Knowledge of Linux kernel networking and hardware forwarding.

• Participation in the open-source community.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

We are looking to hire strong verification engineers with a sharp understanding of CPU and interconnect architectures and workloads. NVIDIA makes some of the most sophisticated chips in the world and is solving problems, with its vast arsenal of CPUs, GPUs, and SW, in areas such as HPC, Automated driving, Medical imaging, and much more! We are seeking highly motivated engineers to join this multifaceted and innovative team! Do you want to be part of the team that explores and defines the next generation of CPUs?

What you will be doing:

• Responsibilities will include the development of test plans and strategies, simulation environments, system bring-up, validation, and automation to deliver high performance CPUs and interconnects.

• Develop and maintain simulator infrastructure and/or verification tooling around existing simulator infrastructure.

• Develop innovative schemes to verify complex micro architectures and implement them.

• Definition and development of tool chain and workflows that enable the full system performance alignment.

What we want to see:

• Master's or Bachelor's degree in EE/CS or related field, or equivalent experience.

• 5+ Years of experience in related field

• Strong understanding of computer and system architecture fundamentals.

• Hands-on experience with HDLs such as Verilog / System Verilog.

• Knowledge of verification methodologies and tools for IP and SoC level verification.

• Experience with System Verilog, C/C++, Python languages and relevant frameworks.

• Background with debug on Silicon.

Ways to stand out of the crowd:

• Detailed knowledge of the ARM and/or x-86 architecture.

• Prior experience with CPUs especially in the areas of RIS tools and verification flows.

• Strong programming background.

If you are a strong programmer or a verification engineer with an interest in CPU architecture or RIS tools, we'd love to hear from you, even if you don't have direct experience in some of the above. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and independent engineer with a real passion for technology, we'd love to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. As part of the CAD team our engineers develop and support tools for all of NVIDIA's semiconductor products. In addition, they also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. Below are some of the some of the teams' activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today.

What you will be doing:

• Be responsible for architecting highly automated and customizable design flows using software engineering with modular design and object oriented techniques.

• Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs.

• Support development of tools using C++/Python/TCL.

• Work cross functionally with DFT Methodology, Implementation and design teams with important DFT and power tools development tasks.

What we need to see:

• Smart, diligent and motivated to work in our CAD group.

• BE or BTech or MTech in Computer Science, or Electronics Engineering, or Electrical Engineering, or equivalent experience.

• 8+ years of relevant work experience.

• Knowledge or experience with DFT, DFP is a plus.

• Familiar with Verilog and ASIC design principles, including knowledge of logic cells.

• Software engineering: software design, algorithms, and QA.

• Strong C++ programming experience.

• Solid programming and scripting skills in Python or TCL desired.

• Having strong interpersonal skills will serve you well in this role.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

For two decades, we have 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 video games, movie production, product design, medical diagnosis, and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life.

Engineering Farm Engineer is responsible for architecting solutions around our large compute cluster to make it work efficiently and improve the user experience for customers as well as engineers supporting the cluster.  Much of our SW engineering work focuses on eliminating manual work through automation, performance tuning, and growing the efficiency of production systems. Practices such as limiting time spent on reactive operational work, blameless postmortems, and proactive identification of potential outages factor into iterative improvement that is key to product quality and interesting and dynamic day-to-day work.  We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow.

What you will be doing:

• Maintain server infrastructure and services once they are live by measuring and monitoring availability, latency, and overall system health.

• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.

• Work with different SMEs and help provide quality resolution to the production issues to the customer

• Practice sustainable incident response and blameless postmortems.

• Understand complex and vast infrastructure and support it during on-call weeks

• Independently Architect and design solutions with SW engineering approach using the right and efficient algorithms, implemented with regular SDLC process that includes requirements gathering, SW design, testing, deployment, & release.  

• Support large-scale server infrastructure with monitoring, logging, and alerting with promised uptime.

• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.

• Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity management, and launch reviews.

What we need to see:

• BS degree with 8+ years of experience in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience.

• Experience with SW Design, Algorithms, data structures, and software design.

• Experience in one or more of the following: Python, Perl, Go, or Ruby using an Object-oriented approach.

• Experience in mentoring junior engineers or leading a team.

• Basic understanding of SQL & NoSQL Data platforms, database queries, and data analysis.

• Interest in crafting, analyzing, and fixing large-scale distributed systems.

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Ability to debug and optimize code and automate routine tasks.

• Ability to learn quickly and adapt to different platforms as per the needs of the project.

Ways to stand out of the crowd:

• Demonstrated experience with architecting and building scalable and maintainable tools following SW best practices

• Demonstrated experience with leading a project from inception to completion along with significant independent contribution

• Good hands-on experience with schedulers like LSF and SLURM

• Good understanding of Linux Administration or done automation around it

• Experience in debugging infrastructure or UNIX-related issues

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.