NVIDIA
Senior DL Algorithms Engineer - Inference Performance
NVIDIA - California, Missouri, United States, 65018
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Overview
Senior DL Algorithms Engineer - Inference Performance
Join to apply for the
Senior DL Algorithms Engineer - Inference Performance
role at
NVIDIA Senior DL Algorithms Engineer - Inference Performance
Join to apply for the
Senior DL Algorithms Engineer - Inference Performance
role at
NVIDIA Direct message the job poster from NVIDIA Hardware Engineering Recruiter at NVIDIA
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. 3+ 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 strong plus
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.
JR1996564
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Get notified about new Algorithm Engineer jobs in
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Join to apply for the
Senior DL Algorithms Engineer - Inference Performance
role at
NVIDIA Senior DL Algorithms Engineer - Inference Performance
Join to apply for the
Senior DL Algorithms Engineer - Inference Performance
role at
NVIDIA Direct message the job poster from NVIDIA Hardware Engineering Recruiter at NVIDIA
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. 3+ 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 strong plus
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.
JR1996564
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at NVIDIA by 2x Get notified about new Algorithm Engineer jobs in
California, United States . San Francisco, CA $140,000.00-$200,000.00 4 days ago Machine Learning Engineer, NeRF / Gaussian Splatting
San Francisco Bay Area $125,000.00-$150,000.00 2 weeks ago C++/Machine Learning Engineer, AI Models Training
Santa Clara, CA $100,000.00-$500,000.00 3 days ago California, United States $85.00-$90.00 2 days ago California, United States $117,120.00-$201,300.00 2 weeks ago Machine Learning Engineer, Core Engineering
San Francisco, CA $140,000.00-$200,000.00 5 days ago Machine Learning Engineer, AI Decisioning
United States $85.10-$251,000.00 1 week ago Los Angeles Metropolitan Area $150,000.00-$175,000.00 3 weeks ago REMOTE- AI Computer Vision Algorithms Developer
Pasadena, CA $120,000.00-$140,000.00 4 days ago Data and Machine Learning Engineer- Fully Remote!
REMOTE- AI Computer Vision Algorithms Developer
San Francisco, CA $120,000.00-$140,000.00 4 days ago California, United States $170,000.00-$190,000.00 1 week ago Machine Learning Engineer- Data Scientist
San Jose, CA $120,000.00-$220,000.00 4 months ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
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Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
California, United States $70.00-$80.00 3 days ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Machine Learning Engineer, Core Engineering
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr