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

C the Signs

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 ...

C the Signs

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 ...

C the Signs

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 ...

Aquila Technology

Software Developer

Lexington, MA · On-site +1

REMOTE At Aquila Technology, you will see our team's passion every day, whether we are building a ... C/C++ Programming * 5 years - GIT/GITHUB * 5 years - Object Oriented Software Design and ...

Aquila Technology

Software Developer

Lexington, MA · On-site +1

REMOTE At Aquila Technology, you will see our team's passion every day, whether we are building a ... C/C++ Programming * 5 years - GIT/GITHUB * 5 years - Object Oriented Software Design and ...

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

See West Roxbury, MA salary details

$33.8K

$66.6K

$97.8K

How much do remote gpu programming jobs pay per year?

As of Jul 18, 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:
Remote Gpu Programming jobs near you

Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

bout Special Projects Engineering LLC

Special Projects Engineering is a small, elite team based in Seattle tackling complex, high-impact problems using advanced AI and automation. We work across domains like autonomous systems, predictive infrastructure, synthetic biology, and next-gen defense tech. When something hasn’t been done before, we don’t shy away — we build it.

What You’ll Do

As a QA Engineer focused on ML/AI systems, your mission is to ensure the reliability, accuracy, and stability of intelligent systems that operate in messy, real-world environments. You’ll design robust testing frameworks and evaluation pipelines to validate everything from perception models to full-stack ML deployments.

Responsibilities:

  • Develop and maintain automated test suites for machine learning pipelines and AI-enabled systems

  • Create testing strategies for models handling visual, audio, sensor, and textual data

  • Validate data inputs, model outputs, performance benchmarks, and edge-case behavior

  • Build tools for continuous integration and regression testing across ML components

  • Work with ML engineers to define evaluation metrics and acceptable thresholds

  • Help ensure models are safe, stable, and robust before deployment

  • Identify gaps in test coverage and build test plans that scale with the codebase

What We’re Looking For

  • 3+ years in software QA, test automation, or related role

  • Hands-on experience testing ML models or AI systems in production environments

  • Strong Python skills; bonus if you’ve worked with PyTorch, TensorFlow, or JAX

  • Familiarity with ML lifecycle and model validation techniques

  • Experience with CI/CD pipelines, test frameworks, and debugging tools

  • Detail-oriented mindset with strong instincts for edge cases and failure modes

  • Bonus: background in data validation, simulation environments, or robotics

Why Join Us

  • Remote first company

  • Competitive salary and equity

  • Flexible hours and remote-friendly culture

  • Full health, dental, and vision insurance

  • High-end GPU hardware and compute resources

  • Work on real-world AI systems with a high-caliber team

  • Fast-moving environment where your work directly impacts production

If you care about building AI that actually works, works well, and works safely — we’d love to talk.