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Remote Gpu Engineer Jobs in Rutherford, NJ (NOW HIRING)

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Experience writing or optimizing custom GPU kernels using Triton or Pallas . * Demonstrable career ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton . * Demonstrable ...

Senior Product Manager (vMetal)

New York, NY ยท Remote

$170K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

... GPU/HPC platforms. You've shipped something other engineers depend on in production ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

New

Senior Product Manager (vMetal)

New York, NY ยท On-site +1

$200K/yr

  • Medical

  • Dental

  • Vision

  • Life

... GPU/HPC platforms. You\'ve shipped something other engineers depend on in production ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Senior Product Manager

New York, NY ยท On-site +1

$200K/yr

  • Medical

  • Dental

  • Vision

  • Life

GPU scheduling, multi-tenant accelerator workloads, LLM deployment patterns. * Internal Developer ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Enterprise Account Executive

New York, NY ยท Remote

$280K - $330K/yr

  • Medical

  • Dental

  • Vision

  • Life

You will be selling a technical platform that solves critical problems for Engineering, DevOps, ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Enterprise Account Executive

New York, NY ยท Remote

$280K - $330K/yr

  • Medical

  • Dental

  • Vision

  • Life

You will be selling a technical platform that solves critical problems for Engineering, DevOps, ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Senior Machine Learning Engineer

New York, NY ยท Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and ...

Go-to-Market Enablement Manager

New York, NY ยท Remote

$150K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

Deep technical enablement for customer engineering: You will own enablement for all customer ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Showing results 21-40

Remote Gpu Engineer information

See Rutherford, NJ salary details

$25

$54

$78

How much do remote gpu engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote gpu engineer in Rutherford, NJ is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $63.46 per hour, depending on experience, location, and employer.

What is a remote GPU engineer?

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 the key skills and qualifications needed to thrive as a remote GPU engineer?

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.

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 Rutherford, NJ look for?

The top searched job categories for Remote Gpu Engineer jobs in Rutherford, NJ are:

What cities near Rutherford, NJ are hiring for Remote Gpu Engineer jobs?

Cities near Rutherford, NJ with the most Remote Gpu Engineer job openings:

Low-Level Senior Software Engineer, Xet Storage - US Remote

Hugging Face

New York, NY โ€ข On-site, Remote

$134K - $176K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 18 days ago


Job description

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.
About the Role
Roles at Hugging Face are very fluid and dynamic -- we're looking for someone who is comfortable taking on different challenges that evolve over time. This role sits on the Xet Storage team, the group responsible for the storage system behind all of Hugging Face. Today we store over 200PB (and growing rapidly!) of the world's most important ML & AI assets. Xet is the underlying storage architecture for the entire Hugging Face platform and community -- from the largest model repositories to the datasets and Spaces that millions of people build on every day.
In this role, you'll work across two closely connected surfaces. You'll contribute to xet-core, our open-source project written in Rust that powers hf-xet -- the Python library underpinning the Hugging Face Hub client and the wider ecosystem of open-source tools the community relies on. And you'll design, build, and operate meaningful and challenging features in the Xet Storage backend, contributing to the broader Infrastructure organization at Hugging Face. We're a small team building and operating incredible things at enormous scale, in a high-trust, low-process, async, and remote environment -- and we lean heavily on the latest AI tools to move fast.
If you love writing low-level, high-performance code and are energized by the challenge of large-scale, scalable services, this is the team for you. This usually means proven experience building and operating production systems software, but we consider every applicant on an individual basis.
Requirements
What we're looking for
  • 8+ years building and scaling distributed systems, storage, or networking infrastructure.
  • Proficiency in a low-level systems language, with Rust strongly preferred (we also work in Python, Typescript, Go, and C++ across the stack).
  • A track record of working independently in a high-trust, low-process environment -- you're comfortable with ambiguity and take ownership end to end.
  • Comfort operating in a fast-moving, async, and fully remote environment.
  • A passion for building simple, robust, and scalable systems relied on by engineering and science teams around the world.

Bonus points if you have
  • Experience designing efficient, high-performance, fault-tolerant data storage and retrieval systems.
  • Experience operating production systems -- monitoring, alerting, and distributed debugging and recovery.
  • Familiarity with git internals, cloud infrastructure (AWS, Azure, GCP, Kubernetes), databases (relational and non-relational), or networking.

About You
If you love open-source, are excited by the intersection of low-level performance work and large-scale services, and want your code to sit at the foundation of the world's largest platform for AI builders, then we can't wait to see your application!
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.
One more thing
At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words "GPU-poor and proud ". No trick, no catch, it just tells us a real person is on the other side.
Benefits
More about Hugging Face
We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported-regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.
We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.
We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.