Manager Gpu Compiler Engineering jobs at Nvidia in India, Pune

What you'll be doing:

• As Program Manager, you will be driving the release planning and working collaboratively with the Engineering teams that are globally spread out.

• Closely work with the R&D partners, OEM PMs and Driver teams, improving the processes for the best product delivery model.

• You will be responsible for the overall consistency and coherence of specifications, setting quality standards and drive quality output.

• Speak objectively and constructively about what is working well and what needs to improve as we develop processes.

• Solve ambiguous, undefined problems that reach beyond product/service boundaries.

• Ensure that systems are in place to manage product feedback from customers and resolve issues.

• Tailor communication to a variety of audiences and perspectives and anticipates concerns.

• Promote a positive environment across the organization by modeling behavior that promotes good morale.

• Use the product/service regularly to understand it thoroughly and discover ways to improve it.

• Demonstrate experience with multiple releases to establish a process that delivers customer satisfaction and delight.

What we need to see:

• Bachelor’s degree in Computer Science or similar discipline required

• 5+ years of hands on industry experience in software development or software quality assurance

• Program management experience in technology for at least 3 years.

• Experience in target/time-based project/product delivery to customer.

• Strong program management, scheduling and organizational skills to manage multiple ongoing projects and drive software development with a large team of globally distributed engineers.

• Productive with strong analytical and problem solving skills and should have high capability in driving issues to conclusion.

• Strong communication skills (written and verbal), working with teams across multiple time zones.

• Experience in using different tools related to program management.

• Define team wide as well as individual members’ roadmap and development plan.

• Drive and strive to be a strong advocate with internal teams as well as externally partners on roadmap and alignment.

• Promote architecture and development process improvements.

• As a key engineering leader, you will closely engage and work with engineering teams across the organization.

• Excel at communicating and collaborating with peer teams on project planning and execution for new HW/OS/features with tight release cadence.

• Passion providing career as well as technical mentorship to engineers.

• You work with close engagement with the team on POR, design, implementation and results.

• Obsess about quality and deliver products to end users.

• Possess strong communication and interpersonal skills.

• Deep background on computer architecture and operating system, with hands-on kernel development experience.

• We want top-tier leader with 3 years+ of management experience, with proven track record of delivering large code base at high velocity.

• We require BS or MS degree in Computer Engineering, Computer Science, or related degree and 8+ overall years of experience

• Hands-on development experience with WDDM and Windows platform.

• Intimate knowledge on one or more areas with the Windows platform, in both hardware and SW.

• Leading silicon bringup experience!

• Experience with leading the team from the front in delivering SW, defining and refining methodologies and practices!

What you’ll be doing:

• Develop Compute performance analysis tools for GPUs running on Linux, Windows and embedded operating systems.

• Work with tools, architecture and driver teams to design, implement and verify new features in the compute profiler stack.

• Work closely with internal and external partners including other peer organizations within NVIDIA.

• Effectively estimate and prioritize tasks in order to craft a realistic delivery schedule.

• Write fast, effective, maintainable, reliable and well detailed code.

• Provide peer reviews to other specialists including feedback on performance, scalability and correctness.

• Document requirements and designs, and review documents with partners.

• Demonstrate growth in technical and non-technical abilities.

• Meet with the QA team to develop a test plan for new features.

What we need to see:

• BS, MS or equivalent degree in Computer Engineering or Computer Science.

• 3+ years of software development experience.

• Strong programming ability in C, C++, and scripting languages.

• Extensive hands-on programming experience.

• Strong software optimization and debugging skills.

• Knowledge of performance analysis concepts, particularly of GPU applications.

• Basic understanding of computer architecture of x86 or ARM CPUs.

• Excellent communication and partnership skills.

Ways to stand out from the crowd:

• Proficient in the use of tools that analyze performance and hardware that monitors performance.

• Experience in CUDA or GPU programming models.

• Prior experience authoring developer tools, particularly for GPUs, games, or pro visualization.

• Background in the field that requires high performance computing.

• Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs

• Work on developing and improving methodologies for profiling data collection from GPUs

• Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications

• Read and understand HW specs to design solutions based on it

• Work on software unit level tests and framework ensuring the quality of the product

• Work on supporting a variety of platforms ranging from super-computers to embedded systems

• B.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D.

• Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms

• Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts

• Knowledge of SW design principles, as that's a key as we scale!

• Experience in Device Drivers or System Software development

• Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan

• Prior experience authoring developer tools, particularly for GPUs

• Experience in performance analysis of GPU applications

• Ability to read and write in Assembly language, especially for multi-processor architectures

What you’ll be doing:
Your job will be to do full stack development to implement features for GeForce NOW products like Game Developer Portal (GDP) / Grpahics Delivery Network (GDN) powered by NVIDIA RTX and GTX GPUs. Your responsibilities will include:

• Develop cross-platform software for frontend UI and back-end services that uses hardware-accelerated libraries for multimedia, artificial intelligence, graphics and display.

• Software includes working on Python & JavaScript (JS) based back-end services, React/Redux framework with HTML/CSS for frontend UI development, Windows Server OS and Mac platforms.

• Working with a worldwide development team through the complete product lifecycle - development, testing, deployment, telemetry and documentation.

• Solve complex system-level issues, optimizations and resource utilization problems.

What we need to see:

• M.Tech inComputer/Electronics/Communicationengineering from a reputed institute with 5+ years of software development experience, having a significant focus on cloud computing software & client-server products.

• Experience of designing cloud computing features using React/Redux and JavaScript (JS) based services, Windows OS running on VM platforms and client-server communication.

• Experience frontend UI design using React/Redux, JavaScript (JS), Typescript and CEF/Angular frameworks will be needed.

• Knowledge of GPU drivers, OS kernel level services and cloud platforms will be an added advantage.

• Background of service deployment, telemetry acquisition and Kibana / Tableau dashboard development skills will be helpful.

Ways to stand out from the crowd:

• Knowledge of GPU drivers, display functions & interactions for Windows Server, Windows OS and PC systems.

• Experience with application of computer vision and/or artificial intelligence to video or gaming systems.

• Familiarity with modern AI Deep Learning frameworks such as PyTorch, Tensorflow and MXNet.

• Cross-platform development experience: multiple hardware architectures, multiple operating systems.