We are now looking for a Senior DL Algorithms Engineer! NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning training, one of today's most essential workloads in the world. If you are unafraid to work across all layers of the hardware/software stack, from GPU architecture to Deep Learning Framework, to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds.
What you will be doing:
Understand, analyze, profile, and optimize deep learning training and inference workloads on state-of-the-art hardware and software platforms.
Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads.
Implement production-quality software across NVIDIA's deep learning platform stack.
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, both training & inference.
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:
Experience with modern LLM inference frameworks (TRT-LLM, vLLM, Ollama, etc.)
Strong fundamentals in algorithms.
Experience with production deployment of Deep Learning models.
Proven experience with processor and system-level performance modelling.
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!
Skills Required
- 5+ years of experience
- MSc or PhD in Computer Science, Electrical Engineering, Computer Science and Engineering, or equivalent experience
- Strong background in deep learning and neural networks, including training and inference
- Deep understanding of computer architecture and familiarity with GPU architecture fundamentals
- Experience analyzing, modeling, and tuning application performance
- Programming skills in C++ and Python
- Experience with modern LLM inference frameworks such as TRT-LLM, vLLM, or Ollama
- Strong fundamentals in algorithms
- Experience with production deployment of deep learning models
- Experience with processor and system-level performance modeling
- GPU programming experience with CUDA or OpenCL
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
