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Remote Gpu Programming Jobs in New York (NOW HIRING)

3B Staffing LLC

Power Systems Engineer

Manhattan, NY · On-site +1

Power Systems Engineer Location: Remote USC & GC LinkedIn Should be as per Resume Must Have ... using GPU technology. Job Summary We are seeking a highly motivated Power Systems Engineer to ...

vCluster Labs

Sr. Solutions Engineer

New York, NY · Remote

$140K - $180K/yr

As a Senior Partner Solutions Engineer at vCluster Labs, you aren't just supporting partner deals ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

vCluster

Sr. Solutions Engineer

New York, NY · On-site +1

$140K - $180K/yr

As a Senior Partner Solutions Engineer at vCluster Labs, you aren't just supporting partner deals ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

vCluster Labs

Sr. Solutions Engineer

New York, NY · Remote

$140K - $180K/yr

As a Senior Partner Solutions Engineer at vCluster Labs, you aren't just supporting partner deals ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

vCluster Labs

AI Infrastructure Engineer

New York, NY · Remote

$150K - $200K/yr

As an AI Infrastructure Engineer, your role will include: * Lead Technical Deployments: Drive end ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

vCluster Labs

Sr. Solutions Engineer

New York, NY · Remote

$140K - $180K/yr

As a Senior Solutions Engineer at vCluster, you aren't just giving product demos; you are the ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Mercor

MLOps Engineer - AI Specialist

New York, NY · Remote

$90 - $140/hr

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 ...

Mercor

PyTorch MLOps Engineer - AI Specialist

New York, NY · Remote

$70 - $110/hr

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 ...

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Remote Gpu Programming information

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

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

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
What are popular job titles related to Remote Gpu Programming jobs in New York? For Remote Gpu Programming jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Gpu Programming jobs in New York look for? The top searched job categories for Remote Gpu Programming jobs in New York are:
What cities in New York are hiring for Remote Gpu Programming jobs? Cities in New York with the most Remote Gpu Programming job openings:
Remote Gpu Programming jobs near you

Machine Learning Research Engineer (MLRE) - GPUs

Achira

New York, NY • On-site, Remote

$164K - $259K/yr

Full-time

Posted 8 days ago

Job description

Why Achira
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
At Achira, you'll operate at the frontier scale of massive compute, massive data, and massive ambition. You'll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We're looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.
About the Role
We're looking for a rare individual who thrives at the intersection of cutting-edge deep learning architectures and high-performance computing. You will help shape the future of molecular machine learning by engineering high-efficiency implementations of advanced architectures for foundation simulation models, accelerating simulations to the limits of the hardware while maintaining fidelity to the underlying physics.
While we prefer candidates willing to relocate to San Francisco or New York City, we are willing to consider full-time remote candidates of exceptional talent who are willing to travel frequently to our two office sites. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.
What You'll Do
  • Take existing PyTorch and JAX, profile and optimize it without compromising model accuracy, reproducibility, and robustness with respect to scientific objectives.
  • Develop with frameworks like CUDA, Triton, Warp, etc. to accelerate performance critical code sections.
  • Liaise with NVIDIA to represent our needs and implement their tooling in our environment.
  • Work day-to-day with scientists to identify areas of greatest impact, including travel to our SF and NY working groups to collaborate.

About You
  • Engineer with at least two years professional experience in GPU optimization.
  • Deep understanding of GPU programming fundamentals.
  • Solid track record of observable artifacts (e.g., GitHub) showing optimization work.
  • Experience collaborating on software projects across multi-person teams.

Nice to Have
Even if you hit none of these bonus features, we encourage you to apply!
  • Experience working with multi-cloud distributed compute systems.
  • Experience working with multi-site distributed company team.
  • Experience working with equivariant architectures that operate on 3-D point clouds.

Apply