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Senior Deep Learning Research Jobs (NOW HIRING)

Senior Deep Learning Engineer

Redmond, WA ยท On-site

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of ... We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and ...

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of ... We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and ...

Senior Deep Learning Engineer

Redmond, WA

$62 - $79.75/hr

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of ... We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and ...

We are now looking for a Senior Deep Learning Engineer!At NVIDIA, we are at the forefront of ... We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and ...

Senior Deep Learning Engineer - Perception

San Jose, CA ยท On-site

$123K - $169K/yr

San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep-vision ...

Senior Deep Learning Engineer

Austin, TX ยท On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model ...

Senior Deep Learning Engineer

New York, NY ยท On-site

$114K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural ... Published research developing SOTA computer vision or (or other DL) models * Experience with ...

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural ... Published research developing SOTA computer vision or (or other DL) models * Experience with ...

Senior Deep Learning Communication Architect

Austin, TX ยท On-site

$128K - $174K/yr

NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Deep Learning ... Research and evaluate new communication technologies and techniques to enhance the performance and ...

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Senior Deep Learning Research information

See salary details

$24K

$99K

$167K

How much do senior deep learning research jobs pay per year?

As of Jun 17, 2026, the average yearly pay for senior deep learning research in the United States is $99,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $107,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Deep Learning Research vs Data Scientist?

AspectSenior Deep Learning ResearchData Scientist
Required CredentialsAdvanced degrees in AI, ML, or related fields; strong research backgroundDegree in CS, Statistics, or related; often requires experience in data analysis
Work EnvironmentResearch labs, R&D teams, academic settingsBusiness analytics, product teams, data-driven departments
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonFocus on advanced AI research and innovationFocus on data analysis and business insights

While both roles involve working with data, Senior Deep Learning Research primarily focuses on developing new AI models and algorithms, often in research settings. Data Scientists analyze data to generate insights and support business decisions. The roles overlap in data handling but differ in scope and objectives.

More about Senior Deep Learning Research jobs
What cities are hiring for Senior Deep Learning Research jobs? Cities with the most Senior Deep Learning Research job openings:
What are the most commonly searched types of Deep Learning Research jobs? The most popular types of Deep Learning Research jobs are:
What states have the most Senior Deep Learning Research jobs? States with the most job openings for Senior Deep Learning Research jobs include:
Infographic showing various Senior Deep Learning Research job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Nvidia Corporation

Redmond, WA โ€ข On-site

$62 - $79.75/hr

Full-time

Posted 15 days ago


Job description

We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling. In this role, you will characterize these emerging workloads and develop novel methods to optimize for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.
As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude - qualities that fuel our collective success in shaping the future of datacenter technology.
What You'll Be Doing:
  • Continuously keeping up to date on the latest advancements in generative AI research.
  • Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
  • Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.
  • Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

What We Need to See:
  • Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
  • A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.
  • A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
  • Growth mindset and pragmatic attitude.

Ways to Stand Out From the Crowd:
  • Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.
  • Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.
  • Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.
  • Familiarity with computer architecture and how it relates to AI algorithms development.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 31, 2026.
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.

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