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 workloads. 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.
What you will be doing:
Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).
Contribute new features, fix bugs and deliver production code to TRT-LLM, NVIDIA’s open-source inference serving library.
Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.
Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack.
Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.
What we want to see:
PhD in CS, EE or CSEE or equivalent experience.
5+ years of experience.
Strong background in deep learning and neural networks, in particular inference.
Experience with performance profiling, analysis and optimization, especially for GPU-based applications.
Proficient in C++, PyTorch or equivalent frameworks.
Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
Ways to stand out from the crowd:
Proven experience with processor and system-level performance optimization.
Deep understanding of modern LLM architectures.
Strong fundamentals in algorithms.
GPU programming experience (CUDA or OpenCL) is a plus
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 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.Skills Required
- PhD in CS, EE or CSEE or equivalent experience
- 5+ years of experience
- Strong background in deep learning and neural networks, particularly inference
- Experience with performance profiling, analysis and optimization for GPU-based applications
- Proficient in C++ and PyTorch or equivalent frameworks
- Deep understanding of computer architecture and familiarity with GPU architecture fundamentals
- GPU programming experience (CUDA or OpenCL)
- Proven experience with processor and system-level performance optimization
- Deep understanding of modern LLM architectures
- Strong fundamentals in algorithms
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
