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Remote Gpu Programming Jobs in West Roxbury, MA (NOW HIRING)

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Set up and manage the training environment, including GPU instances and required software. Train ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Set up and manage the training environment, including GPU instances and required software. Train ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Senior Machine Learning Engineer

Boston, MA · Remote

$125K - $165K/yr

Set up and manage the training environment, including GPU instances and required software. Train ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Manage and scale multi-cloud GPU infrastructure using Terraform and Ansible, including both bare ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Manage and scale multi-cloud GPU infrastructure using Terraform and Ansible, including both bare ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior Software Engineer

Woburn, MA · On-site +1

$134K - $184K/yr

Equivalent experience will be considered * Object oriented programming skills in C/C ... Proficiency in communication libraries (ZeroMQ, DDS, MPI) & C-code optimization for GPP & GPU ...

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Remote Gpu Programming information

See West Roxbury, MA salary details

$33.8K

$66.6K

$97.8K

How much do remote gpu programming jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote gpu programming in West Roxbury, MA is $66,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $81,900.00 per year, depending on experience, location, and employer.

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 cities near West Roxbury, MA are hiring for Remote Gpu Programming jobs? Cities near West Roxbury, MA with the most Remote Gpu Programming job openings:
Lead Research Software Engineer, Portable AI Performance Engineering

Lead Research Software Engineer, Portable AI Performance Engineering

Massachusetts Institute of Technology

Cambridge, MA • On-site, Remote

$138K/yr

Other

Posted 29 days ago


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

32nd of 537 rated colleges and universities


Job description

Lead Research Software Engineer, Portable AI Performance Engineering

  • Job Number: 25560

  • Functional Area: Information Technology

  • Department: MA Green High Performance Computing Ctr

  • School Area: MA Green High Performance Computing Ctr

  • Pay Range Minimum: $102,350

  • Pay Range Maximum: $138,700

  • Employment Type: Full-Time Temporary

  • Employment Category: Exempt

  • Visa Sponsorship Available: No

  • Schedule: 2-year position

  • Pay Grade: 10

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Posting Description

LEAD RESEARCH SOFTWARE ENGINEER, PORTABLE AI PERFORMANCE ENGINEERING, MA Green High Performance Computing Center, to be a hands-on research software engineering professional and serve as lead for applied performance engineering for AI workloads. Will work closely with research groups and leading computer industry collaborators to evaluate, adapt, and enhance the portable performance of complex AI research workloads on state-of-the-art hardware. The role will have heavy focus on optimizing existing NVIDIA GPU-based workloads for top-tier AMD GPUs, such as MI355X and beyond and will analyze and profile existing research AI workloads to identify performance bottlenecks and portability challenges; and port and optimize complex AI models and scientific code to run efficiently on AMD MI355X GPUs using ROCm, HIP, and related translation tools.

Job Requirements

REQUIRED: Bachelor’s degree or equivalent with a minimum of five years of work experience in either deeply technical fields and/or computational research experience; strong proficiency in Python and C++, with deep familiarity with AI/ML frameworks (PyTorch, TensorFlow, JAX); hands-on experience with GPU programming models (e.g., CUDA, HIP, or OpenCL); experience with performance profiling and benchmarking tools on Linux-based High-Performance Computing systems; excellent communication skills; ability to collaborate effectively with academic researchers and industry partners; and self-motivated with the ability to work independently in a remote or hybrid environment. PREFERRED: Direct experience with the AMD ROCm software stack and translating CUDA code to HIP; familiarity with AI agentic tools and Large Language Models (LLMs) used for code generation and refactoring; background in supporting large-scale, domain-specific scientific research (e.g., physics, biology, climate science) on institutional clusters; direct experience with one or more open-source schedulers and provisioners; experience with Linux container technologies such as LXC, apptainer and systemd-nspawn; or advanced degree in a relevant technical field.

The Lead Software Engineer must comply with all relevant MGHPCC security policies.

This is a two-year term position.

3/13/2026


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