At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and ... We constantly reflect on how to improve these systems, developing new inference algorithms and ...
20 Nvidia Algorithm Engineer Jobs Hiring Near You
At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and ... We constantly reflect on how to improve these systems, developing new inference algorithms and ...
At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and ... We constantly reflect on how to improve these systems, developing new inference algorithms and ...
At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and ... We constantly reflect on how to improve these systems, developing new inference algorithms and ...
Senior DL Algorithms Engineer - Inference Performance
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
Senior DL Algorithms Engineer - Inference Performance
Santa Clara, CA · On-site
$143K - $189K/yr
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 ...
NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a plus Your ...
NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a plus Your ...
Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA's accelerated ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a strong plus.
Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA's accelerated ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a strong plus.
Senior DL Algorithms Engineer - Inference Performance
Santa Clara, CA · On-site
$143K - $189K/yr
NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a plus Your ...
Senior DL Algorithms Engineer - Inference Performance
Santa Clara, CA · On-site
$143K - $189K/yr
NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a plus Your ...
Senior DL Algorithms Engineer - Inference Performance
Santa Clara, CA · On-site
$143K - $189K/yr
Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA's accelerated ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a strong plus.
Senior DL Algorithms Engineer - Inference Performance
Santa Clara, CA · On-site
$143K - $189K/yr
Enable and optimize state-of-the-art open models (like Nemotron and Cosmos) on NVIDIA's accelerated ... Strong fundamentals in algorithms. * GPU programming experience (CUDA or OpenCL) is a strong plus.
... NVIDIA GPUs. • Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. • Actively collaborating with the ...
... NVIDIA GPUs. • Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. • Actively collaborating with the ...
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 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 Software Engineer - NVIDIA Warp
Santa Clara, CA · On-site
$143K - $189K/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 Software Engineer - NVIDIA Warp
Santa Clara, CA · On-site
$143K - $189K/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 ...
... for NVIDIA GPUs. * Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. * Actively collaborating with the ...
... for NVIDIA GPUs. * Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. * Actively collaborating with the ...
... for NVIDIA GPUs. * Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. * Actively collaborating with the ...
... for NVIDIA GPUs. * Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. * Actively collaborating with the ...
Senior Compiler Engineer, AI Inference Platforms
Santa Clara, CA · On-site
$122K - $168K/yr
... optimization algorithms to enhance NVIDIA's inference engine across various platforms ... D. in Computer Science, Computer Engineering, related field or equivalent experience. • 3+ years ...
Senior Compiler Engineer, AI Inference Platforms
Santa Clara, CA · On-site
$122K - $168K/yr
... optimization algorithms to enhance NVIDIA's inference engine across various platforms ... D. in Computer Science, Computer Engineering, related field or equivalent experience. • 3+ years ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... algorithms. * Strong programming skills in CUDA including analyzing and debugging performance ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... algorithms. * Strong programming skills in CUDA including analyzing and debugging performance ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... algorithms. * Strong programming skills in CUDA including analyzing and debugging performance ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... algorithms. * Strong programming skills in CUDA including analyzing and debugging performance ...
Senior Quantum Computing Libraries Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
... algorithms to scale quantum circuit simulations • Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and ...
Senior Quantum Computing Libraries Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
... algorithms to scale quantum circuit simulations • Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and ...
... for NVIDIA GPUs. * Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. * Actively collaborating with the ...
... for NVIDIA GPUs. * Understanding and analyzing the interplay of hardware and software architectures on core algorithms, programming models, and applications. * Actively collaborating with the ...
... and AI algorithm teams to integrate NVIDIA's Embedded solutions into our customers' products ... If you are a creative and autonomous engineer with a genuine passion for technology, we want to ...
... and AI algorithm teams to integrate NVIDIA's Embedded solutions into our customers' products ... If you are a creative and autonomous engineer with a genuine passion for technology, we want to ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Experience in algorithm programming using languages like Python and C/C++, with familiarity GPU ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Experience in algorithm programming using languages like Python and C/C++, with familiarity GPU ...
Senior Developer Technology Engineer, Public Sector
Santa Clara, CA · Hybrid
$64 - $84.50/hr
... Technology Engineer for the Public Sector! NVIDIA is hiring passionate, world-class computer ... Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ...
Senior Developer Technology Engineer, Public Sector
Santa Clara, CA · Hybrid
$64 - $84.50/hr
... Technology Engineer for the Public Sector! NVIDIA is hiring passionate, world-class computer ... Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ...
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.
Do workers at Nvidia get paid breaks?
Sometimes. Only some people get paid breaks.
45% of people say they don’t get paid breaks.
Based on data from 11 people who took the Breakroom Quiz between December 2024 and June 2026.
45% of people say they don’t get paid breaks.
Based on data from 11 people who took the Breakroom Quiz between December 2024 and June 2026.
Does Nvidia pay people when they’re sick?
Yes. Most people get paid when they’re sick.
75% of people say they would get paid if they were sick but scheduled to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
75% of people say they would get paid if they were sick but scheduled to work.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
At Nvidia, are sick days and vacation days separate paid time off?
Sick days and vacation days are separate paid time off.
92% of people say they don’t have to use vacation days when they’re out sick.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.
92% of people say they don’t have to use vacation days when they’re out sick.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.
Is the health insurance from Nvidia affordable enough for their workers?
Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 12 people who took the Breakroom Quiz between June 2025 and June 2026.
100% of people say the health insurance costs are okay
Based on data from 12 people who took the Breakroom Quiz between June 2025 and June 2026.
Do people get paid time off at Nvidia?
Most people get paid time off work.
100% of people say they get paid time off.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.
100% of people say they get paid time off.
Based on data from 13 people who took the Breakroom Quiz between June 2025 and June 2026.
How far ahead of time do people find out their work schedule?
Only some people find out their schedule four weeks ahead of time.
Based on data from 6 people who took the Breakroom Quiz between April 2025 and March 2026.
- 67% of people with changing schedules find out their shifts one week or less ahead of time.
- 0% of people with changing schedules find out their shifts two weeks ahead of time.
- 0% of people with changing schedules find out their shifts three weeks ahead of time.
- 33% of people with changing schedules find out their shifts four weeks or more ahead of time.
Based on data from 6 people who took the Breakroom Quiz between April 2025 and March 2026.
Do workers at Nvidia worry about hours?
Most people don’t worry about getting enough hours.
83% of people report they don’t worry about getting enough hours.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.
83% of people report they don’t worry about getting enough hours.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.
Do Nvidia workers get to choose the shifts they work?
Some people don’t get to choose which shifts they work.
40% report that they don’t have enough control over which shifts they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and January 2026.
40% report that they don’t have enough control over which shifts they work.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and January 2026.
How easy is it for Nvidia workers to change shifts?
Most people find it easy to change shifts.
88% of people report that it’s easy to change shifts if they need to.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.
88% of people report that it’s easy to change shifts if they need to.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.
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 17 people who took the Breakroom Quiz between December 2024 and June 2026.
100% of people report it’s easy to get time off.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
Do Nvidia managers change schedules at the last minute?
Most managers don’t change people’s schedules at the last minute.
92% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and March 2026.
92% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and March 2026.
Do jobs at Nvidia spill into time workers aren’t paid for?
Rarely. The job doesn't usually spill into unpaid time.
17% of people report that their job takes up time that they don’t get paid for.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.
17% of people report that their job takes up time that they don’t get paid for.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and March 2026.
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 17 people who took the Breakroom Quiz between December 2024 and June 2026.
100% of people report that it’s easy to take time off if they are sick.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people at Nvidia feel treated with respect by their managers?
Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
100% of people say they’re treated with respect by their managers.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people at Nvidia get to take their breaks without interruption?
Most people get breaks without interruption.
94% of people report that they get to take their breaks without interruption.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
94% of people report that they get to take their breaks without interruption.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
Is it stressful to work at Nvidia?
Some people feel stressed out here.
47% of people say they often feel stressed out at work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
47% of people say they often feel stressed out at work.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people at Nvidia enjoy their jobs?
Most people enjoy their job.
100% of people report they enjoy their job.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 2026.
100% of people report they enjoy their job.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people at Nvidia recommend working with their team?
Most people recommend working with their team.
76% of people report that they would recommend working with their immediate team to a friend.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
76% of people report that they would recommend working with their immediate team to a friend.
Based on data from 17 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people get enough training when they start at Nvidia?
Some people didn’t get enough training when they started.
38% of people report they didn’t get enough training when they started working here.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
38% of people report they didn’t get enough training when they started working here.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people get support to advance at Nvidia?
Most people are given support to advance their career here.
In the last year, 93% of people report being given support to advance their career here.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 2026.
In the last year, 93% of people report being given support to advance their career here.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 2026.
Do people think Nvidia’s headquarters understands what’s happening where they work?
Most people think headquarters understands what’s happening where they work.
67% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 2026.
67% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 15 people who took the Breakroom Quiz between December 2024 and June 2026.
Do workers feel well informed about how Nvidia is doing?
Most people feel well informed about how the company is doing.
94% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
94% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 16 people who took the Breakroom Quiz between December 2024 and June 2026.
What are the most popular jobs at Nvidia?
What are the most popular categories at Nvidia?
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
Job description
At NVIDIA, we are at the forefront of the constantly evolving field of large language models, and their application in agentic and reasoning use cases. As the scale and complexity of these LLM systems continues to increase, we are seeking outstanding engineers to join our team and help shape the future of LLM inference.
Our team is dedicated to pushing the boundaries of what's possible with LLMs by improving the algorithmic performance and efficiency of systems that represent them. We constantly reflect on how to improve these systems, developing new inference algorithms and protocols, improving existing models, and seamlessly integrating improvements to ensure NVIDIA's solutions can efficiently handle large-scale, sophisticated tasks.
What you'll be doing:
Research and Development: Explore and incorporate contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack.
Workload Analysis and Optimization: Conduct in-depth analysis, profiling, and optimization of agentic LLM workloads to significantly reduce request latency and increase request throughput while maintaining workflow fidelity.
System Design and Implementation: Design and implement scalable systems to accelerate agentic workflows and efficiently handle sophisticated datacenter-scale use cases.
Collaboration and Communication: Advise future iterations of NVIDIA software, hardware, and system by engaging with a diverse set of teams at NVIDIA and external partners and formalizing the strategic requirements presented by their workloads.
What we need to see:
BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
15+ years of experience in deep learning and deep learning systems design.
Proficiency in Python and C++ programming
Strong understanding of computer architecture, and GPU/parallel datacenter computing fundamentals.
Proven interest in analyzing, modeling, and tuning application performance.
Ways to stand out from the crowd:
Experience in building large-scale LLM inference systems, especially those involving compound AI.
Experience with processor and system-level performance modeling.
GPU programming experience with CUDA or OpenCL.
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.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 an inclusive 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.
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