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 ...

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 ...

Senior Developer Technology Engineer

Santa Clara, CA · Hybrid

$64 - $84.50/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 ...

next page

Showing results 1-20

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 makes Nvidia an attractive place to work?

Nvidia is a leading technology company in the field of artificial intelligence, graphics processing units, and high-performance computing, with a strong reputation for innovation and industry leadership. The company's workplace culture values collaboration, creativity, and innovation, with opportunities for employees to work on cutting-edge projects and contribute to the development of groundbreaking technologies. Joining Nvidia offers professionals a chance to be part of a dynamic and forward-thinking organization, with opportunities for growth, professional development, and making a meaningful impact in the tech industry.

How easy is it to get time off at Nvidia?

Most people find it easy to get time off.
100% of people report it’s easy to get time off.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

How easy is it to take sick days at Nvidia?

Most people find it easy to take sick days.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
100% of people report that they get to take their breaks without interruption.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Is it stressful to work at Nvidia?

Some people feel stressed out here.
40% of people say they often feel stressed out at work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people at Nvidia recommend working with their team?

Only some people recommend working with their team.
40% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
40% of people report they didn’t get enough training when they started working here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 100% of people report being given support to advance their career here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.

Do workers feel well informed about how Nvidia is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and December 2025.
What other companies are hiring for Algorithm Engineer jobs?
Infographic showing various Algorithm Engineer job openings at Nvidia in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 12% 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 2 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

Job Summary:
NVIDIA is seeking a Senior DL Algorithms Engineer to enhance performance analysis and optimization for Deep Learning workloads. The role involves implementing inference models, analyzing performance bottlenecks, and collaborating with hardware/software teams to drive innovation in AI services.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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
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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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