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Remote Nvidia Deep Learning Jobs in New Jersey (NOW HIRING)

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

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Remote Nvidia Deep Learning information

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.

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Infographic showing various Remote Nvidia Deep Learning job openings in New Jersey as of August 2026, with employment types broken down into 8% Internship, 65% Full Time, and 27% Contract. Highlights an 100% Remote job distribution.

Software Engineer Supervisor (System Admin)

Jersey City, NJ • On-site, Remote

HR1Systems
See more jobs at HR1Systemsexternal

Full-time

PTO

Re-posted 8 days ago

Job description

Description
HR1Systems is seeking a Software Engineer Supervisor (Systems Administrator) specializing in managing SaaS platforms, Machine Learning and AI to join our innovative team. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile app technologies.
As a software engineer supervisor, you will work on specific projects critical to HR1Systems' needs with opportunities to switch teams and projects due to our fast-paced business growth. We need our engineers to be versatile, display leadership qualities, and be enthusiastic about taking on new problems across the full stack as we continue to push technology forward. You will be managing a team of junior software engineers and data analysts.
Primary/Essential Duties and Key Responsibilities:
  • Design and Develop Scalable Software Solutions: Bring fresh ideas from various areas to address complex challenges in HR technology.
  • Develop and Implement Models: Design and build machine learning models and algorithms to address complex problems.
  • Machine Learning and AI Development: Design and implement machine learning algorithms and AI-driven solutions, including deep learning and natural language processing.
  • Full-Stack Development: Work across the full technology stack, from backend services to front-end user interfaces, ensuring seamless integration and performance.
  • Collaboration: Work closely with cross-functional teams, including data analysts, project managers, and other engineers, to integrate AI solutions into our products and improve standard operating procedures.
  • Leadership: Display leadership qualities by mentoring junior team members and leading projects.
  • Research and Innovation: Stay current with AI and software engineering research, applying new techniques to enhance existing systems.
  • Code Quality and Review: Maintain high-quality, maintainable code, and participate in code reviews.
  • Data Analysis: Analyze large datasets to extract insights and optimize model performance.
  • Deploy Solutions: Deploy machine learning models and ensure their performance aligns with business needs.
  • Document and Review: Maintain clear documentation of processes and participate in code reviews to ensure high-quality, maintainable code.
  • Project Manager: Manage project, scheduling, client interfacing, deadlines, risk assessments, etc.
  • Supervisor: Manage a team of software engineers and data analysts.

Benefits:
  • Paid Time Off
  • Bonus
  • Paid USA Holidays
  • Flexible Hours (standard 8am-5pm EST)
  • Remote Work
  • Annual International Company Retreats
  • Health and Wellness Programs

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At HR1System, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 70,000 to $ 100,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Requirements
Education:
  • Master's degree or PhD in Software Engineering, Computer Science, or a related technical field.

Experience:
  • 5+ years of experience in software development and with data structures/algorithms.
  • 2-5+ years of managing a team
  • 5+ years of experience testing and launching software products.
  • 5+ years of experience with software design and architecture.
  • 5+ years of experience with machine learning algorithms, artificial intelligence, deep learning, or natural language processing.
  • 5+ years of project management experience

Technical Skills:
  • Strong proficiency in R and Python, with a deep understanding of data manipulation, analysis, and machine learning workflows.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying ML models.
  • Experience with SQL and NoSQL databases for storing and retrieving large datasets.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.
  • Experience with Git, version control, and experiment tracking tools (e.g., MLflow, DVC).

Skills:
  • Strong leadership skills and a desire to teach and educate a team.
  • Strong understanding of software development lifecycle and agile methodologies.
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively.
  • Versatility in working across different technologies and a willingness to learn new tools and languages as needed.
  • Ability to work independently and collaboratively in a remote, fast-paced environment.

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