Nvidia
Nvidia

60 Nvidia Algorithm Engineer Jobs Hiring Near You

Senior MLOps Engineer, GenAI Framework

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA is looking for a dedicated and motivated build and continuous integration (CI/CD) engineer ... Then join our technically diverse team of DL algorithm engineers and performance optimization ...

Senior Software Engineer - NVIDIA Warp

Seattle, WA · On-site

$139K - $183K/yr

Our team is advancing GPU-accelerated simulation and robotics algorithms with NVIDIA Warp. Join us ... Collaborate with compiler, runtime, and kernel engineers to improve portability and performance ...

Senior Developer Technology Engineer

New York, NY · Hybrid

$59.50 - $78.75/hr

NVIDIA's Developer Technology Engineering team is a global network of world-class experts ... Designed highly optimal parallel algorithms and data structures for applications with high bytes to ...

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Nvidia Jobs Information

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
What other companies are hiring for Algorithm Engineer jobs?
Infographic showing various Algorithm Engineer job openings at Nvidia in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
Senior DL Algorithms Engineer - Inference Performance

Senior DL Algorithms Engineer - Inference Performance

NVIDIA

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 11 days ago


Job description

Job Summary:
NVIDIA is a fast-growing technology company that leads the AI revolution, seeking a Senior DL Algorithms Engineer for LLM/Omni model optimizations. The role focuses on performance analysis and optimization of Deep Learning workloads across the hardware/software stack.
Responsibilities:
• Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA’s accelerated inference SW stack.
• Contribute new features, fix bugs and deliver production code to open-source frameworks like TRT-LLM, vLLM, SGLang, FlashInfer, etc.
• Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.
• Benchmark state-of-the-art offerings and perform competitive analysis for NVIDIA’s SW/HW stack.
• Co-design with partner teams to develop the next generation of AI models and services.
Qualifications:
Required:
• 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 PyTorch or equivalent frameworks for AI, or HPC-heavy application development.
• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
Preferred:
• Proven experience with processor and system-level performance optimization.
• Deep understanding of modern LLM/Diffusion architectures.
• Strong fundamentals in algorithms.
• GPU programming experience (CUDA or OpenCL) is a strong plus.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Nvidia

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993