Senior DL Algorithms Engineer - Inference Optimizations

improving the performance of workloads.

• Implement production-quality software across NVIDIA's deep learning platform stack, such as TensorRT, TensorRT-LLM and vLLM.

• Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

• 5+ years of experience.

• MSc or PhD in CS, EE or CSEE or equivalent experience.

• Strong background in deep learning and neural networks, in particular training and inference optimizations.

• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

• Proven experience analyzing, modeling and tuning application performance.

• Programming skills in C++ and Python.

Ways to stand out from the crowd:

• Strong fundamentals in algorithms.

• Experience with production deployment of Deep Learning models, especially LLMs and multimodal.

• Proven experience with processor and system-level performance modeling.

• GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing data center deployments and establishing a data-driven approach to hardware design and system software development. We collaborate with a broad cross-section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. As our team grows and as we seek to identify and take advantage of long-term opportunities, our skills needs are growing as well. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.