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.
Are you ready to lead the charge in transforming the manufacturing and industrial automation sector with innovative AI and machine learning technologies? NVIDIA is seeking a dynamic Director of Software Engineering to build and lead a team of researchers, engineers, and data scientists. You will be at the forefront of our Metropolis for Factories and Manufacturing platforms, driving innovations that improve manufacturing automation, product inspections, and safety workflows. Join us in Santa Clara, CA, and contribute to an era where AI revolutionizes how sensor data is collected, analyzed, and applied!
What you'll be doing:- Establishing and growing a software team to develop and prototype key deep learning and data analytics algorithms.
- Architecting infrastructure for installation, integration, and monitoring of various software applications on NVIDIA platforms.
- Leading the development of "AI copilots" for manufacturing using NVIDIA's NIMs and Blueprints.
- Providing architectural input for distributed applications and Smart Factory standards to improve scalability, reliability, and availability.
- Collaborating with robotics teams to build and validate autonomous systems before deployment.
- Establishing processes for compliance, including functional validation and enterprise security.
- Being responsible for the Engineering roadmap for "AI for Manufacturing" solutions, aligning technical directions with business outcomes.
- Assisting with customer interactions and working alongside multi-functional groups across regions to address key challenges.
What we need to see:- MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
- 10+ overall years of validated experience in industrial manufacturing involving the build and development of automated machines.
- 5+ years of leading and managing control of planning, staffing, budgeting, and expense prioritization, as well as recommending and implementing changes to methods.
- Experience collaborating with multiple departments to address common automation challenges.
- Familiarity with metrology practices and high-precision manufacturing workflows.
- Knowledge of vision and signal-based measurement methods and metrology data workflows.
- Expertise in quality and reliability engineering practices.
- Proven track record in developing algorithms aimed at predictive analytics and machine learning.
- A consistent track record of staying current with the latest trends in manufacturing and automation.
- Experience integrating with PLC/HMI/SCADA/MES environments and understanding OT constraints.
- Strong communication skills with great attention to detail.
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family ;br>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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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