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Senior Deep Learning Research Jobs (NOW HIRING)

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

Experience with deep learning research and tools. * Proficiency in software design and development using Python and C++. * Experience working with large-scale datasets, data preprocessing, and ...

They are seeking a Deep Learning Engineer to build and deploy cutting-edge deep learning models ... research into practical solutions for senior living market intelligence. • Deploy models to ...

$152 - $288/hr

## Senior Deep Learning Software Engineer, InferenceApplylocations: US, CA, Remote: US, TX, Remote: US, NY, Remote: US, WA, Remote: US, MA, Remotetime type: Full timeposted on: Posted Yesterdayjob ...

New

... research experience in performance analysis and compiler optimizations. * Ability to work ... MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ...

... research experience in performance analysis and compiler optimizations. * Ability to work ... MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop ... research experience in performance analysis and compiler optimizations • Ability to work ...

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Senior Deep Learning Research information

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$24K

$99K

$167K

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

As of Aug 21, 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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,008 per year, or $47.6 per hour.

Senior Deep Learning Algorithm Engineer

NVIDIA Gruppe

Santa Clara, CA • On-site

$184 - $288/hr

Other

Posted 11 days ago


Job description

NVIDIA is seeking a Senior Deep Learning Algorithms Engineer to advance Dynamo, our open-source distributed inference platform for large-scale, low-latency AI services. You’ll lead architecture and performance work across Dynamo and open source frameworks. You’ll collaborate across research, software, systems, and hardware teams to make AI inference faster, more efficient, and easier to deploy. You’ll engage with the broader ecosystem, including vLLM, SGLang, and TensorRT-LLM as well as with external partners to build the best operating system for AI. If you’re excited by deep learning, performance engineering, and distributed systems, we’d love to hear from you.

What you\'ll be doing:
  • Design, build, and maintain Dynamo integrations for open source frameworks vLLM, SGLang, TRTLLM.
  • Partner with open source communities to land measurable gains in latency, throughput, reliability, and efficiency.
  • Showcase NVIDIA token/watt leadership by pushing the pareto frontier on public/private benchmarks
  • Find and remove bottlenecks across runtimes, kernels, networking, routing, and orchestration.
  • Develop inference optimizations for scheduling, disaggregation, KV caching, and autoscaling.
What we need to see:
  • BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
  • 3+ years building, profiling, and debugging performance-critical distributed or ML systems.
  • Strong programming skills in Python and/or Rust, C++.
  • Understanding of modern ML architectures and inference techniques
Ways to stand out from the crowd:
  • High agency and a track record of leading ambiguous work end to end.
  • Experience with AI Accelerators
  • Open-source contributions / leadership
  • Research in ML inference or distributed systems.

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 in the world working for us. If you\'re creative and autonomous, we want to hear from you!

#LI-Hybrid

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 August 9, 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.

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