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Evening Computer Vision Deep Learning Engineer Jobs in Plainfield, NJ

Senior Computer Vision Data Scientist

New York, NY · On-site

$120K - $240K/yr

  • Retirement

  • PTO

... applied deep learning, and you know how to take that foundation into production on real-world ... engineers can trust and operators can act on. What you bring * Deep expertise in selecting ...

Director of Computer Vision

New York, NY · On-site

  • Medical

  • Dental

  • Retirement

Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...

3D Computer Vision Researcher

New York, NY · On-site

$125K - $170K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Our solutions embrace deep learning and add measurable value to government agencies, commercial ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

Principal Machine Learning Engineer

Manhattan, NY

$233K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will lead a high-velocity pod that specializes in Multi-Armed Bandits (MAB) and computer vision ... Deep hands-on experience with Multi-Armed Bandits, Contextual Bandits, Thompson Sampling, or Upper ...

Principal Machine Learning Engineer

Manhattan, NY · On-site

$233K - $350K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will lead a high-velocity pod that specializes in Multi-Armed Bandits (MAB) and computer vision ... Deep hands-on experience with Multi-Armed Bandits, Contextual Bandits, Thompson Sampling, or Upper ...

S. in Computer Science or related areas * Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting ...

New

Lead, Machine Learning Engineer

Newark, NJ · On-site

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ... NLP, computer vision, and predictive analytics * Model Performance Management: model monitoring ...

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ... NLP, computer vision, and predictive analytics * Model Performance Management: model monitoring ...

Machine Learning Engineer

New York, NY · On-site

$150K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

KNN, SVM), ensembles, NLP, and deep learning. * Significant experience with python programming and ... with semantic search, computer vision (especially OCR), or linear optimization problems

Lead AI Engineer-Machine Learning

Parsippany, NJ · On-site

$103K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lincoln Tech is seeking a Lead AI Engineer -- Machine Learning to build efficient, data-driven AI ... Expertise in LLMs, Generative AI, Computer Vision, or NLP * Strong system design skills with deep ...

Showing results 41-60

Evening Computer Vision Deep Learning Engineer information

See Plainfield, NJ salary details

$49.8K

$124.7K

$141K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for evening computer vision deep learning engineer in Plainfield, NJ is $124,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,400.00 and $134,900.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What cities near Plainfield, NJ are hiring for Evening Computer Vision Deep Learning Engineer jobs?

Cities near Plainfield, NJ with the most Evening Computer Vision Deep Learning Engineer job openings:

Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in Plainfield, NJ as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $124,651 per year, or $59.9 per hour.

Engineering Manager, Deep Learning Inference

Nvidia

New York, NY • On-site, Remote

Full-time

Posted 14 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


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


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