12 Performance Analysis jobs in India

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.

The Role

Job Description:

If you have a smartphone, digital camera, digital TV, gaming console or a smart meter at home, you’ve already used an Arm-powered product. Over 900 Arm-powered chips are produced every second and over 200 billion Arm technology-based chips have been shipped to date, making us the world’s leading semiconductor IP supplier.

In addition to CPUs, Arm builds high performance system IP like cache-coherent interconnects, interrupt controllers, and memory management units. Our partners combine Arm CPUs with these system IP, to build sub-system solutions across pioneering market segments like mobiles, servers, AI, automotive, IoT, etc.

Our team is responsible for carrying out Performance Analysis on Arm CPUs and System IP put together as SoCs in pre- and post-Silicon environments.

Responsibilities:

Have you worked on CPUs or other IP in a system, and have a strong technical background? Then, you maybe the right match for this job!

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In Return:

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 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.

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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.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Portfolio Analysis Group team to partner with the Business.

As an Associate within the Portfolio Analysis Group in Wealth Management, you will act as a trusted advisor to the leadership team, providing opinions and generating ideas on how to promote performance insights. You will calculate performance returns and performance attribution across our product range, ensuring accuracy and timely delivery. You will also oversee performance measurement and attribution calculations, create reports across several regional offices, and communicate results effectively to senior management and portfolio managers. This role offers you the opportunity to develop and implement performance and attribution systems with best industry practices, monitor data quality, and provide regular risk and return analysis to portfolio managers and investment specialists.

Job responsibilities

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