ZipRecruiter

Log In

2

Remote Gpu Engineer Jobs in Rio Rancho, NM (NOW HIRING)

Berriehill Research

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

All JobsRemote Gpu Engineer JobsRemote Gpu Engineer Jobs in Rio Rancho, NM

Remote Gpu Engineer information

See Rio Rancho, NM salary details

$23

$50

$72

How much do remote gpu engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for remote gpu engineer in Rio Rancho, NM is $50.45, according to ZipRecruiter salary data. Most workers in this role earn between $40.72 and $58.56 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

A senior GPU engineer or hardware engineer with extensive experience in graphics processing units, often working in leading tech companies or specialized hardware firms, can earn $500,000 or more annually. High compensation typically includes base salary, bonuses, and stock options, especially for those with advanced skills in hardware design, performance optimization, and deep knowledge of GPU architectures.

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

To thrive as a Remote GPU Engineer, you need strong expertise in GPU architectures, parallel programming (CUDA/OpenCL), and a solid background in computer science or engineering. Familiarity with tools like CUDA Toolkit, performance profilers, and version control systems, as well as experience with relevant certifications, is typically required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate effectively in remote, distributed teams are standout soft skills. These competencies ensure efficient GPU solution development, effective troubleshooting, and seamless teamwork in a remote engineering environment.

How can I make 2000 a week working from home?

A remote GPU engineer can earn $2,000 or more weekly by working on high-demand projects such as AI, machine learning, or rendering, often requiring advanced skills in GPU programming, deep learning frameworks, and experience with tools like CUDA or TensorFlow. Achieving this income typically involves freelance contracts, consulting, or full-time roles with competitive pay, and may require specialized certifications or a strong portfolio. Consistent high performance and building a reputation in the industry can help secure higher-paying opportunities.

What engineers make $300,000 a year?

Senior GPU engineers, machine learning engineers, and software engineers with specialized skills in graphics processing, deep learning, or high-performance computing can earn $300,000 or more annually, especially with experience, advanced certifications, and working in high-demand industries like AI, gaming, or data centers. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups.

How can I make $100,000 a year working from home?

A remote GPU engineer can reach a $100,000 annual salary by gaining specialized skills in GPU programming, deep learning, or high-performance computing, and obtaining relevant certifications. Building a strong portfolio, gaining experience with tools like CUDA or TensorFlow, and working for companies that offer remote positions with competitive pay are key factors.

What are Remote GPU Engineers?

Remote GPU Engineers are specialized software or hardware engineers who work primarily with Graphics Processing Units (GPUs) from a remote location. They focus on designing, optimizing, and maintaining GPU-based systems for applications such as machine learning, high-performance computing, and graphics rendering. These professionals often collaborate with teams virtually, leveraging cloud-based GPU resources and remote access tools. Their work enables companies to efficiently utilize GPU technology without requiring engineers to be on-site.

What are some common challenges faced by Remote GPU Engineers when collaborating with distributed teams?

Remote GPU Engineers often work with global teams, which can present challenges such as coordinating across different time zones, ensuring consistent communication, and managing access to high-performance hardware remotely. To overcome these hurdles, it's important to leverage collaboration tools, maintain clear documentation, and establish regular check-ins. Additionally, using remote desktop solutions and cloud-based GPU environments can help facilitate smoother development and debugging processes.
What job categories do people searching Remote Gpu Engineer jobs in Rio Rancho, NM look for? The top searched job categories for Remote Gpu Engineer jobs in Rio Rancho, NM are:
Remote Gpu Engineer jobs near you
Senior/Principal Computer Scientist - Remote Sensing Algorithms, Onsite

Senior/Principal Computer Scientist - Remote Sensing Algorithms, Onsite

Sandia

Albuquerque, NM • On-site, Remote

$117K - $235K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Design and develop software for high throughput, high volume data processing in remote sensing systems.

  • Propose and lead image processing and data-centric research and development projects focused on computer vision algorithms for detection, tracking, and classification of observational targets.

  • Develop and optimize high performance software for real-time, distributed systems.

Job description

About Sandia
Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
*These benefits vary by job classification.
What Your Job Will Be Like
We are seeking an professional in algorithm development for remote sensing systems to design and develop software for a high throughput, high volume data processing mission. Our team delivers creative solutions for sophisticated real-time decision support systems. Join our hard-working, multi-disciplinary team and start building the future today!
On any given day, you may be called on to:
  • Be part of software teams that deliver solutions for remote sensing systems, including the capture, processing, exploitation, visualization, and distribution of real-time satellite sensor data.
  • Propose and lead image processing and data-centric research and development projects with a focus on computer vision algorithms for the detection, tracking, and classification of observational targets.
  • Develop and optimize high performance software for real-time, distributed systems.
  • Develop and optimize the concept of operations for remote sensing systems.
  • Develop test and validation strategies for remote sensing systems.
  • Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service architectures, data management and visualization.

Due to the nature of this position onsite work is required. Some travel may be required.
Salary Range
$117,500 - $235,700
*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.
Qualifications We Require
  • A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.¿
  • Ability to obtain and maintain DOE Q-level security clearance.

Qualifications We Desire
The ideal R&D, S&E Computer Science candidate for Sandia National Laboratories will in addition possess the following:
  • Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).¿
  • Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile).¿
  • Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills.

Also, for this posting we are seeking individuals with the following experience:
  • Experience with object-oriented software development in C++ or Python
  • Experience with Linux operating environments
  • Experience in delivering code to operational environments
  • Experience in utilizing and exploiting data from remote sensing systems
  • Experience developing AI-based computer vision applications (e.g., image processing, segmentation, detection, classification) to include understanding and use of CNNs, RNNs, and/or Transformers.
  • Experience with data exploitation/mining/fusion algorithms, digital signal processing, or multi-core parallel computing in CPU/GPU/FPGA environments.
  • Expertise with software/pipeline development or optimization in high-throughput data processing environments.
  • Active DOE Q or DOD TS security clearance with the ability to obtain and maintain an SCI.

About Our Team
The Mission Engineering and Geospatial Analytics System Program Office (MEGASPO) supports many DOD and IC customers to design and integrate key national systems that strengthen national security. Working with partners across 6300 and the Sandia, 6341 is responsible for providing assessments of critical needs and deployment of capabilities to close those gaps.
Posting Duration
This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
EEO
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Apply