Senior Software Engineer, Decision Intelligence

NVIDIA • Us, CA

14d

About The Position

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. Our cuOpt team is at the forefront of redefining decision-making systems with a GPU-accelerated open-source platform. If you are passionate about optimization, genAI, and advanced computational techniques, this is the opportunity for you! Join us to help build the future of AI and decision optimization technologies.

Requirements

• Ph.D. in Computer Science or a related field, or equivalent experience.
• 5+ years of hands-on software development experience.
• Consistent record in architecting and implementing systems for mathematical optimization, genAI and high performance computing
• Curiosity about developer-focused, high-paced environment.
• Highly motivated, and curious about new technologies.
• You take pride in your work, strive to achieve outstanding results, and possess excellent communication and planning skills.
• Ability to work with multi-functional teams.
• Coordinates effectively across organizations and geographies.

Responsibilities

• Crafting groundbreaking techniques for decision intelligence.
• Deliver rapid iterations of software based on user feedback by collaborating with software engineers, internal and external researchers, and diverse internal product teams.
• Build intelligent architectures for accelerated decision systems
• Actively drive the adoption of frameworks, standards, and new technologies. Including by publishing your original research and speaking at conferences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees