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Design and deliver optimization models for supply chain planning and strategic decision-making, including developing analytics tools, leading implementation projects, and performing quantitative analysis. Requires a Master's or PhD in Operations Research, Industrial Engineering, or related field with 12+ years of professional experience, including 3+ years with deterministic optimization methods. Essential skills include optimization solvers like CPLEX, Gurobi, or Matlab, advanced Excel with VBA and SQL knowledge, and a track record of using analysis to drive business results. Base salary ranges from $200,000 to $322,000 USD depending on location and experience.
Written from this posting by Neural Jobs AI. The full description is below.
Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.
We are now looking for an Operations Research Scientist to join our information technology operations planning team. As a part of this team you will responsible for developing advanced analytics and optimization models for strategic and tactical decision-making associated with supply-chain planning, as well as data analysis support.
What you’ll be doing:
Design and deliver robust implementable solutions for complex supply chain planning requirements using modeling approaches
Lead small projects to implement new and improve existing functionalities including articulating requirements and translating them into effective solutions.
Invent prototypes or proof of concepts as part of some research on optimization-based or simulation-based systems.
Apply optimization, simulation, statistical and data analytic techniques to develop strategic decision management tools. You will research and craft network/business models.
Perform quantitative analysis. u will build business and product scenarios to help the business unit improve our profitability and market share.
What we need to see:
Master's or PhD in Operations Research, Industrial Engineering or related disciplines or equivalent experience
12+ years of professional working experience, including 3+ plus years of experience with deterministic optimization methodology, including mixed integer programming, network flows, dynamic programming and approximation heuristics.
Strong hands-on experience with optimization solvers like Matlab, CPLEX, Gurobi, ExpressMP, SAS (OptModel) for solving Supply Chain problems
Advanced Excel skills as well as knowledge of VBA and SQL
Consistent track record of using analysis to deliver business results.
Self-starter who can take charge of complex tasks with minimal direction.
Ability to work independently and multi-functionally with other staff members.
Statistical analysis, machine learning and data-modeling in a database environment a plus
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
265K – 404K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 84 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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