1

Senior Deep Learning Engineer Jobs in New York (NOW HIRING)

We are seeking a Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision ...

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Develop machine learning & deep learning models using Python, including data preprocessing, feature engineering, model training, and evaluation for large-scale datasets * Use SQL for large-scale data ...

New

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Senior Machine Learning Engineer Department: Engineering Employment Type: Full Time Location: New ... Strong experience using PyTorch, JAX, or other deep learning frameworks to develop and optimize ...

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Your Role Our Deep Learning Researchers expand the boundaries of quantitative finance through the ... Strong programming skills, including mastery of Python * Strong problem-solving skills and research ...

Experience with deep neural networks and representation learning * Prior experience working in a ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

next page

Showing results 1-20

Senior Deep Learning Engineer information

See New York salary details

$65.1K

$138.5K

$200.8K

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

As of Aug 8, 2026, the average yearly pay for senior deep learning engineer in New York is $138,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $157,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Deep Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops and deploys deep learning models, often in AI teamsAnalyzes data, builds models, and provides insights across departments
Industry UsageTech, AI, and research companiesFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and programming knowledge, Senior Deep Learning Engineers focus on designing and implementing deep learning models, whereas Data Scientists analyze data to generate insights. The roles often collaborate but serve different primary functions within organizations.

What are the most commonly searched types of Deep Learning Engineer jobs in New York? The most popular types of Deep Learning Engineer jobs in New York are:

Senior Deep Learning Software Engineer, Inference

Nvidia

New York, NY

$134K - $176K/yr

Full-time

Posted 26 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today's most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models.


You'll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins-including CUTLASS, OAI Triton, NCCL, and CUDA kernels-to implement and optimize model serving pipelines.

What you'll be doing:

  • Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.

  • Scale performance of DL models across different architectures and types of NVIDIA accelerators.

  • Contribute features and code to NVIDIA's inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions.

  • Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions.

What we need to see:

  • Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI).

  • 5+ years of relevant software development experience.

  • You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus.

  • Prior experience with training, deploying or optimizing the inference of DL models in production is a plus.

  • Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus.

  • GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus.

Ways to Stand out from The Crowd

  • Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field.

  • Experience with Multi GPU Communications (NCCL, NVSHMEM)

With highly competitive salaries and a comprehensive benefits package, 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 and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, 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 July 17, 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.

What Nvidia employees say

Pay

Benefits

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