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’s Compute Performance Engineering team crafts system and processor architectures to extend the state of the art in deep learning efficiency and performance that are energy efficient. They Prototype key deep learning and data analytics algorithms and applications, Analyze performance of DL Compute workloads from product concept to product release.

What you'll be doing:

• Hands on driving software programs and processes. Leading multi-functional team members in a matrix organization to deliver projects on time.

• Leading projects in both Waterfall and Agile methodologies.

• Authoritatively communicating project status to multi-functional teams as well as executive management.

• Working independently, take-charge and influence with minimal mentorship

• Working with global partners across multiple time zones, geographies, and diverse technical fields to define work you're doing, report on status, and deliver projects to expectation.

• Influencing other teams by crafting an efficient/accountable development environment through process development and process improvement.

• Observing and following defined processes for addressing blocking issues if the execution of planned work product tasks is not on track.

• Thinking strategically and tactically. Someone who can distill sophisticated projects down to manageable tasks and landmarks and successfully disseminate them to the multi-functional teams.

• Work with HW architecture teams, DL SW teams, Compiler and Infrastructure teams to ensure schedule alignment

• Enable team collaboration across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:

• Strong technical background. Previous work experience as a software engineer, data scientist or a software QA engineer with hands-on experience developing and testing code

• Relevant work experience in technical fast paced program, project or product management role. Validated experience leading global projects and readiness to work flexibly in multiple time zones

• Bachelor of Science or equivalent experience in Electronic Engineering, Computer Science or related technical degree.

• 6+ years in a similar or related role

• Passionate about details and an authority at multitasking

• Validated Software Engineering background and technical skills.

• Ability to investigate technical issues. Attention to detail.

• Knowledge of operating systems, software development standard methodologies, and compilers are highly valued.

• Strong written and verbal presentation skills

• Creative problem solver, able to resolve conflicting priorities.

• Track record of understanding and implementing the foundational program management skills; risk management, tracking and monitoring, meeting facilitation, domain expertise, time management, and problem-solving skills.

Ways to stand out from the crowd:

• Technical background with machine learning, deep learning, software development, and/or GPU technology using APIs such as CUDA, Tensorflow or Pytorch. First-hand experience with software engineering and enterprise system architecture at scale.

• Previous experience with productizing enterprise server system and coordinating activities between HW / SW organization. Proficiency in Python, Tensorflow, and other third-party software suites.

• Craft and implement new processes for workflow between different teams.

• CUDA and/or AI knowledge.

• Experience with project management tools, like JIRA (Atlassian Project Management & Teamwork Software), JAMA, MS Project. Implementing tool automation in support of this role is plus as well as Project Management Professional Certification.

The base salary range is 156,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.

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