Sr Manager, System Software Engineering - Cuda

Nvidia Santa Clara , CA 95051

Posted 3 months ago

We are searching for a world-class Technical Manager for an exciting and fun role in our GPU Compute System Software organization. Our team delivers features and improvements to better realize the performance of NVIDIA software and hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.

You will lead a team that is working on performance analysis, benchmarking and tuning of GPU compute applications and system software, including user mode libraries and kernel mode driver components. User mode components include the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU.

You will be solving meaningful problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you!

What you'll be doing:

  • Provide administrative and technical direction to 10+ system software development engineers.

  • Make sure the team executes to perfection in delivering on customer and internal commitments

  • Drive and facilitate the planning, scheduling and execution of projects and activities of your team.

  • Establish relationships and trust through excellent execution and high quality of software development.

What we need to see:

  • Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field), with a minimum of 7 years of experience developing and leading complex low-level or system software projects

  • 12+ years of leadership experience.

  • Strong interpersonal, verbal and written communications skills with a capability to achieve objectives under tight deadlines

  • Experience managing multiple projects with competing priorities

  • Experience analyzing, debugging and tuning performance of complex system software stacks.

  • Demonstrate strong C programming skills with experience working with large codebases

  • Experience with operating system interfaces for threads, process control, and virtual memory

  • Experience writing and debugging multithreaded programs

Ways to stand out from the crowd:

  • Prior Technical Management experience

  • Deep understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO

  • Knowledge of memory coherence and consistency models

  • Experience with kernel mode development

  • Experience with Windows, Linux, or macOS driver development

  • Some familiarity with C++

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and talented people on the planet working with us and our engineering teams are expanding fast. If you're a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.

NVIDIA's 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 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."

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 passionate about what you do, creative and autonomous, we want to hear from you!

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.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Senior Cuda Algorithms Engineer

Nvidia

Posted 3 days ago

VIEW JOBS 1/14/2020 12:00:00 AM 2020-04-13T00:00 We are now looking for a Senior CUDA Algorithms Engineer: Would you like to work with the world's best CUDA and deep learning experts? Do you want to be the part of Artificial Intelligence Revolution? NVIDIA is seeking a CUDA algorithms software engineer for its GPU-accelerated Numerical, Analytics, and Deep learning algorithms team. Academic and commercial groups around the world are using GPUs to revolutionize deep learning and data analytics, and to power data centers. Join the team which is building software which will be used by the entire world. Work well with the scientific community to implement the latest algorithms. Ability to work on a dynamic customer oriented team is required and excellent interpersonal skills are needed. In this role you will be collaborating with internal partners, users, and members of the open source community to define and implement highly optimized new numerical, analytics and deep learning algorithms. The scope of these efforts covers defining public APIs, performance tuning and analysis, implementing new algorithms, and other general software engineering work. What you will be doing: * Develop algorithms for deep learning, data analytics, machine learning, or scientific computing * Analyze performance of GPU implementations * Collaborate with team members and other partners * Occasional travel to conferences and for customer visits may be required What we need to see: * A Masters Degree in Computer Science, Artificial Intelligence, Applied Math, or related field. * 5 years of relevant software development experience. * Excellent C/C++ programming, debugging, performance analysis, and test design skills * Strong algorithms and mathematical fundamentals * Ability to work independently and lead your own development effort * Strong communication and interpersonal skills will help you succeed in our dynamic, global team. Your successful track record of mentoring junior engineers and interns a huge plus. Ways to stand out from the crowd: * Strong understanding of DL and Machine Learning algorithms * Knowledge of CPU and/or GPU architecture * Experience with one or more of: assembly/low level programming, performance tuning, Python * Prior GPU programming (CUDA or OpenCL) experience desired but not required * Exposure to floating-point arithmetic With highly competitive salaries and a comprehensive benefits package, NVIDIA is one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are fast-growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous computer scientist with a genuine interest in AI and a real passion for parallel computing? If so, we want to hear from you. Come, join our CUDA Deep Learning Algorithm team and help us build the real-time, cost-effective computing platform driving our success in this dynamic and quickly growing field. 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. #deeplearning Nvidia Santa Clara CA

Sr Manager, System Software Engineering - Cuda

Nvidia