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Remote Gpu Programming Jobs in Boston, MA (NOW HIRING)

Motional

Perception Engineer

Boston, MA · Remote

$165K - $197K/yr

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... PyTorch, * GPU training, * acceleration and inference optimization, * TensorRT/CUDA, * CI/CD ...

New

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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Remote Gpu Programming information

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$35.9K

$70.6K

$103.8K

How much do remote gpu programming jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote gpu programming in Boston, MA is $70,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $86,900.00 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?

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 the most commonly searched types of Gpu Programming jobs in Boston, MA? The most popular types of Gpu Programming jobs in Boston, MA are:
What are popular job titles related to Remote Gpu Programming jobs in Boston, MA? For Remote Gpu Programming jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Gpu Programming jobs in Boston, MA look for? The top searched job categories for Remote Gpu Programming jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Gpu Programming jobs? Cities near Boston, MA with the most Remote Gpu Programming job openings:
Remote Gpu Programming jobs near you

Perception Engineer

Motional

Boston, MA • Remote

$165K - $197K/yr

Full-time

Posted 3 days ago

New

Job description

Perception Engineer. Ref. No. N322
BOSTON – REMOTE U.S. ONLY
FULL-TIME

What You'll Do:

  • Connect/drive project-level impact through technology solutions..
  • Design, develop, implement, and fix features in codebase.
  • Formulate problems, architect solutions, and design processes.
  • Train and deploy new AI models.
  • Analyze model performance and identify improvements.
  • Research/evaluate emerging technologies to enhance AI models.
  • Prototype, evaluate, implement, and iterate on solutions.

What You Bring:

  • Requires Bachelor's or higher in Computer Science, Electrical Engineering, Robotics, or or a closely related technical field
  • Two years of industry experience in automotive industry software development.
  • Experience must include:
    • production-level software development,
    • model deployment,
    • integration and validation for robotics,
    • testing/debugging algorithms,
    • machine learning applications,
    • Python,
    • C++,
    • PyTorch,
    • GPU training,
    • acceleration and inference optimization,
    • TensorRT/CUDA,
    • CI/CD pipelines, and
    • Git.

Ref Job No. N322

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$165,000—$197,698 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.