We are looking for an ambitious and innately curious person to be our Sr. Technical Program Manager for Deep Learning Software! Join us to work with engineering and product leaders on planning and execution of large-scale programs to develop and publish software for training and inference applications using various types of neural networks. You will drive the development process and coordinate work between multiple organizations, customers, and researchers. Your work will enable NVIDIA’s customers to employ industry leading AI and ML in their products, spanning almost every possible industry.

What you’ll be doing:

• Define and drive process within the fast paced field of machine learning and deep learning. Develop critical metrics, program schedules to measure release health, predictability, and achievements
• Identify failures, lead retrospective analysis, and help to develop improvement action plans
• Lead and be viewed as a leader with the right balance of both technical and leadership skills. Work closely with engineers on architectural discussions and challenge the design choices that they make
• Drive standard processes for our engineering teams and persuade multiple business units of the advantages of each area of improvement. Anticipate risks and develop risk management solutions as appropriate
• Build high level understanding of products, projects and goals and highlight domain specific / new market application possibilities
• Coordinate efforts between development teams, product managers and solution architects
• Work with development teams on test plans, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop metrics to track execution and deploy process improvements to improve efficiency

What we need to see:

• 8+ years programming experience as a software engineer, data scientist or a QA engineer with hands-on experience developing and testing code
• Proven experience in a technical fast paced program, project or product management role. Experience in leading global projects is and the readiness to work flexibly in multiple time zones is key.
• Strong communication and effective presentation skills with a proven track record to articulate a value proposition to technical and non-technical audiences
• Master’s degree in Engineering, Computer Science, or similar field desired (or equivalent experience)
• Experience and good understanding of software engineering principles and quality requirements in enterprise systems environments
• Ability to multitask, quickly switch context, and be thorough. Experience in influencing decisions and leading teams is helpful.
• Enthusiastic about finding opportunities for productive change and improvement in software engineering and release management
• Ability to think strategically and tactically and to build consensus to make programs successful

Ways to stand out from the crowd:

• Expertise in machine learning, deep learning, open source software, and/or GPU technology using APIs such as CUDA, Tensorflow or Pytorch. First-hand experience with SW engineering and enterprise system architecture at scale.
• Previous involvement in productizing enterprise server systems and coordinating activities between HW and SW organizations
• Technical background with Open Source (Python, Tensorflow, notebooks) and 3rd Party Open Source SW suites such as Black Duck or Palamida
• Background in driving process and measuring for efficiency and effectiveness. Previous experience with agile methodologies (Scrum, Safe, Less, Business agility)
• Previous experiences in IS026262 and ASPICE Standards

NVIDIA is widely considered to be one of the technology world’s most desirable employers, constantly striving to redefine the limits of technology. We have some of the most forward-thinking and dedicated people in the world working for us. Are you creative and passionate about developing AI/ML solutions to tackle some of humanity’s greatest problems? If the answer is yes, then we would love 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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

deeplearnin

• Define and drive process within the fast paced field of machine learning and deep learning. Develop critical metrics, program schedules to measure release health, predictability, and achievements
• Identify failures, lead retrospective analysis, and help to develop improvement action plans
• Lead and be viewed as a leader with the right balance of both technical and leadership skills. Work closely with engineers on architectural discussions and challenge the design choices that they make
• Drive standard processes for our engineering teams and persuade multiple business units of the advantages of each area of improvement. Anticipate risks and develop risk management solutions as appropriate
• Build high level understanding of products, projects and goals and highlight domain specific / new market application possibilities
• Coordinate efforts between development teams, product managers and solution architects
• Work with development teams on test plans, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop metrics to track execution and deploy process improvements to improve efficienc