Senior Technical Program Manager, BioNeMo

$188,000 - $356,500/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The Sr. Technical Program Manager for BioNeMo at NVIDIA will play a crucial role in planning and executing large-scale programs focused on developing and publishing software for training and inference applications using neural networks. This position involves driving the development process, coordinating efforts across multiple organizations, and enabling customers to leverage cutting-edge AI and ML technologies in various industries.

Responsibilities

• Define and drive process within the fast-paced field of machine learning and deep learning.
• Develop critical metrics and 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 design choices.
• Drive standard processes for Software Engineering and persuade multiple business units of the advantages of each area of improvement.
• Anticipate risks and develop risk management solutions as appropriate.
• Regularly communicate program status and key issues to senior management at NVIDIA.
• Build high-level understanding of products, projects, and goals, highlighting 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 key KPIs to track execution and deploy process improvements to improve efficiency.

Requirements

• Strong technical background with previous work experience as a software engineer, data scientist, or software QA engineer.
• Relevant work experience in a technical fast-paced program, project, or product management role.
• Proven experience leading global projects and readiness to work flexibly in multiple time zones.
• 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) with 12+ years of industry experience.
• 5+ years programming experience using any modern programming language.
• 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 influencing decisions and leading teams in a matrix environment.
• Enthusiastic, proactive, responsive, and passionate 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.
• Strong problem-solving skills, consistently successful implementing systematic solutions.

Nice-to-haves

• Technical background with machine learning, deep learning, open source software, 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 systems and coordinating activities between HW/SW organizations.
• Experience 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.
• Natural inclination to improve what we build and how we build it.
• Driven to constantly improve the product from the customer experience side, replicating and testing customer scenarios to spot-check products before shipping.

Benefits

• Equity options
• Comprehensive health benefits
• Flexible work hours
• Diversity and inclusion programs
• Ongoing training and development opportunities