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Remote Nvidia Deep Learning Jobs in Ridgefield Park, NJ

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GenAI Engineer

New York, NY · Remote

Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch. Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim. Multi-Modal Data and AI Tools: Experience ...

Nvidia

Senior Software Developer, AI Networking

New York, NY · On-site +1

$59.50 - $78.75/hr

NVIDIA is changing the world of AI Networking with groundbreaking technology. We are excited to be ... learning. This new model - where deep neural networks are trained to recognize patterns from ...

Nvidia

Product Manager, AI for Quantum

New York, NY · On-site +1

We're looking for a passionate product leader to drive NVIDIA's AI for Quantum strategy and ... Understanding of how machine learning and AI techniques can be applied to scientific and ...

Nvidia

Senior Software and System Architect

New York, NY · On-site +1

$141K - $192K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Deep knowledge of and experience with C and Python * Hands-on Linux development experience * Cloud ...

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$11.8K

$90K

$150.2K

How much do remote nvidia deep learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote nvidia deep learning in Ridgefield Park, NJ is $90,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $149,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What cities near Ridgefield Park, NJ are hiring for Remote Nvidia Deep Learning jobs?

Cities near Ridgefield Park, NJ with the most Remote Nvidia Deep Learning job openings:

Remote Nvidia Deep Learning jobs near you
Infographic showing various Remote Nvidia Deep Learning job openings in Ridgefield Park, NJ as of August 2026, with employment types broken down into 9% Internship, 65% Full Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $90,023 per year, or $43.3 per hour.

Engineering Manager, Deep Learning Inference

New York, NY • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Re-posted 9 days ago

Key responsibilities

  • Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

  • Drive the strategy, roadmap, and execution of NVIDIA's inference frameworks engineering, focusing on Client AI.

  • Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering today's most sophisticated AI systems - from large language models to multimodal generative AI - all accelerated on NVIDIA GPUs. The Deep Learning Inference team develops and optimizes open-source frameworks that make AI deployment scalable, efficient, and accessible - including vLLM / SGLang, and FlashInfer. Our work enables developers worldwide to harness NVIDIA accelerators for real-time inference at every scale, from datacenter clusters to edge devices.

What you'll be doing:

  • Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software.

  • Drive the strategy, roadmap, and execution of NVIDIA's inference frameworks engineering, focusing on Client AI.

  • Partner with internal compiler, libraries, and research teams to deliver end-to-end optimized inference pipelines across NVIDIA accelerators.

  • Oversee performance tuning, profiling, and optimization of large-scale models for LLM, multimodal, and generative AI applications.

  • Guide engineers in adopting best practices for CUDA, Triton, CUTLASS, and multi-GPU communications (NIXL, NCCL, NVSHMEM).

  • Represent the team in roadmap and planning discussions, ensuring alignment with NVIDIA's broader AI and software strategies.

  • Foster a culture of technical excellence, open collaboration, and continuous innovation.

What we need to see:

  • MS, PhD, or equivalent experience in Computer Science, Electrical/Computer Engineering, or a related field.

  • 6+ overall years of software development experience, including 3+ years in technical leadership or engineering management.

  • Strong background in C/C++ software design and development; proficiency in Python is a plus.

  • Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization.

  • Proven record of deploying or optimizing deep learning models in production environments.

  • Experience leading teams using Agile or collaborative software development practices.

Ways to Stand out from The Crowd:

  • Significant open-source contributions to deep learning or inference frameworks such as PyTorch, vLLM / SGLang, Triton, or TensorRT-LLM.

  • Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and distributed inference architectures.

  • Expertise in performance modeling, profiling, and system-level optimization across CPU and GPU platforms.

  • Proven ability to mentor engineers, guide architectural decisions, and deliver complex projects with measurable impact.

  • Publications, patents, or talks on LLM serving, model optimization, or GPU performance engineering.

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, our rapid growth means endless opportunities for career advancement. If you're a passionate technical leader ready to shape the future of AI inference frameworks - and build the software that powers the world's most advanced models - we'd love 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 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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