Senior DL Algorithms Engineer - Inference Performance

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 287,500; Full time

Job summary

A leading technology company in California is seeking a Senior DL Algorithms Engineer to drive inference performance for Deep Learning workloads. The role involves implementing advanced model inference and collaborating with co-design teams to optimize performance across hardware and software interfaces. Candidates should hold a PhD in a relevant field and have over 5 years of experience in deep learning and GPU programming. This position offers a competitive base salary ranging from $184,000 to $356,500 depending on experience.

Qualifications

• 5+ years of experience in deep learning and neural networks, especially in inference.
• Experience with performance profiling and optimization for GPU-based applications.
• Deep understanding of computer architecture and fundamentals of GPU architecture.

Responsibilities

• Implement language and multimodal model inference.
• Contribute new features and deliver production code to TRT-LLM.
• Profile and analyze bottlenecks across the inference stack.

Skills

Deep learning

C++

Performance analysis

Neural networks

GPU programming

PyTorch

Education

PhD in CS, EE or CSEE or equivalent experience

Job description

Senior DL Algorithms Engineer - Inference Performance page is loaded## Senior DL Algorithms Engineer - Inference Performancelocations: US, CA, Santa Clara: US, CA, Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2013503We 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 plusYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and .Applications for this job will be accepted at least until February 22, 2026.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.