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Remote Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - Agentic Memory

New York, NY · On-site +1

$134K - $176K/yr

Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering ... We are looking for candidates in any country where NVIDIA has an office, and remote work is ...

Nvidia

Senior Solutions Architect, AI Cloud Services

OR · On-site +1

Partner with Sales Account Managers or Developer Relations Managers to identify and secure business ... We are open to remote work locations! NVIDIA is widely considered to be one of the technology world ...

Nvidia

Senior ASIC Design Engineer

Santa Clara, CA · On-site +1

Proven hardware engineering background with a concentration in VLSI and Computer Architecture ... Strong interpersonal skills and ability to work with on-site and remote teams NVIDIA is widely ...

Nvidia

Senior Software Engineer - Agentic Memory

OR · On-site +1

$122K - $161K/yr

Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering ... We are looking for candidates in any country where NVIDIA has an office, and remote work is ...

NVIDIA

VLSI Design Automation Software Engineer

... with a remote team to enhance productivity and efficiency. Responsibilities : • Oversee and ... engineering workflows Company : NVIDIA is a computing platform company operating at the ...

Nvidia

$135K - $181K/yr

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and ... Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ...

Nvidia

Senior ASIC Design Engineer

Santa Clara, CA · On-site +1

A proven hardware engineering background with a focus on VLSI and Computer Architecture ... remote teams. NVIDIA is widely considered to be one of the technology world's most desirable ...

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How much do remote nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for remote nvidia engineering in the United States is $137,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a Remote Nvidia Engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

What are the key skills and qualifications needed to thrive as a Remote Nvidia Engineer, and why are they important?

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

More about Remote Nvidia Engineering jobs
What cities are hiring for Remote Nvidia Engineering jobs? Cities with the most Remote Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Remote Nvidia Engineering jobs? States with the most job openings for Remote Nvidia Engineering jobs include:
What job categories do people searching Remote Nvidia Engineering jobs look for? The top searched job categories for Remote Nvidia Engineering jobs are:
Remote Nvidia Engineering jobs near you
Infographic showing various Remote Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $137,006 per year, or $65.9 per hour.
Power Systems Engineer ---Remote

Power Systems Engineer ---Remote

DELTASOFT SOLUTIONS LLC

Newtown, PA • On-site, Remote

$65 - $70/hr

Full-time

Medical, PTO

Posted 8 days ago

Job description

Benefits:
  • Employee discounts
  • Health insurance
  • Paid time off

Power Systems Engineer ---Remote

Job Summary

We are seeking a highly motivated Power Systems Engineer to support an innovation initiative focused on substantially accelerating Transmission and Distribution planning tools using NVIDIA GPU technology. This role will be responsible for modeling and converting existing Transmission and Distribution network models currently developed in CYME and GE PSLF into pandapower-based Python models, working with NVIDIA resources and performing steady state powerflow analysis for these models using GPUs and CUDA libraries.
The ideal candidate combines strong power systems fundamentals, hands-on experience with planning tools, and programming skills, and is excited to work at the intersection of power engineering and high-performance computing.
Key Responsibilities

  • Develop Transmission and Distribution network models using pandapower (Python)
  • Convert and validate existing network models from CYME and GE PSLF into pandapower equivalents
  • Ensure electrical fidelity between source models and converted models (topology, parameters, limits, results)
  • Work with NVIDIA engineers in developing Powerflow analysis solution using GPUs and CUDA libraries
  • Collaborate with power systems engineers, data scientists, and GPU/HPC specialists to enable GPU-accelerated simulations
  • Assist in benchmarking CPU vs GPU performance for power system studies
  • Document modeling assumptions, validation results, and technical findings for internal and executive audiences

Required Qualifications

  • Bachelors or Masters degree in Electrical Engineering (Power Systems focus preferred)
  • Strong foundation in power system analysis, including:
    • Power flow (AC/DC)
    • Transmission and Distribution modeling
    • Per-unit systems and network parameters
  • Hands-on experience with power system planning tools
  • Programming experience

Preferred Qualifications

  • Experience with Transmission Planning and/or Distribution Planning studies
  • Understanding of power system matrices (Ybus, Jacobian, PTDF/LODF)
  • Strong written and verbal communication skills, with the ability to explain technical concepts clearly
  • Familiarity with pandapower or other open-source power system frameworks (strong plus)
  • Ability to work with large-scale network models and complex datasets

Thanks & Regards
Bhanu Prakash
DeltaSoft Solutions
bhanu.prakash@deltasoftgroup.com