ZipRecruiter

Log In

1

Gpu Computing Jobs in Massachusetts (NOW HIRING)

Nvidia

Senior GPU Architect

Westford, MA · On-site

$134K - $182K/yr

The NVIDIA GPU Architecture group is looking for world class architects and software developers to ... A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields ...

next page

Showing results 1-20

All JobsGpu Computing JobsGpu Computing Jobs in Massachusetts

Gpu Computing information

See Massachusetts salary details

$10

$19

$27

How much do gpu computing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for gpu computing in Massachusetts is $19.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $21.54 per hour, depending on experience, location, and employer.

What is GPU computing?

GPU computing refers to the use of a Graphics Processing Unit (GPU) alongside a Central Processing Unit (CPU) to accelerate computational tasks. GPUs are highly efficient at performing parallel operations, making them ideal for complex calculations in fields like machine learning, scientific simulations, and graphics rendering. Unlike traditional CPUs, GPUs can process thousands of threads simultaneously, greatly speeding up tasks that involve large-scale data processing. This makes GPU computing essential in industries requiring high-performance computing solutions.

What are some common challenges faced by GPU computing professionals when optimizing code for parallel processing?

One of the main challenges in GPU Computing is efficiently restructuring code to leverage the massive parallelism that GPUs offer. Professionals often encounter issues with memory management, synchronization between threads, and minimizing data transfer between CPU and GPU to avoid bottlenecks. Additionally, debugging parallel code can be complex, as errors may not manifest consistently across runs. Collaborating with software engineers, data scientists, and hardware specialists is typical to ensure optimal performance and scalability in real-world applications.

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

To thrive as a GPU Computing Specialist, you need expertise in parallel programming, computer architecture, and a strong foundation in mathematics and algorithms, often supported by a degree in computer science, engineering, or related fields. Familiarity with programming languages like C/C++, CUDA, OpenCL, and experience with GPU hardware and high-performance computing systems are essential. Problem-solving abilities, analytical thinking, and strong collaboration skills help you innovate and work effectively on complex computational projects. These skills ensure efficient development, optimization, and deployment of GPU-accelerated solutions crucial for scientific, engineering, and AI applications.

What is the difference between Gpu Computing vs Data Scientist?

AspectGpu ComputingData Scientist
Required CredentialsKnowledge of GPU architectures, programming skills in CUDA or OpenCLDegree in Computer Science, Statistics, or related fields; strong programming skills
Work EnvironmentHigh-performance computing environments, data centers, research labsOffice settings, research institutions, tech companies
Industry UsageMachine learning, scientific simulations, graphics renderingData analysis, predictive modeling, business insights

Gpu Computing focuses on leveraging GPU hardware for high-speed processing tasks, often requiring specialized programming skills. Data Scientists analyze data to extract insights, using various tools and statistical methods. While both roles involve data and computing, Gpu Computing is more hardware and performance-oriented, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Gpu Computing jobs in Massachusetts?

For Gpu Computing jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Gpu Computing jobs in Massachusetts look for?

The top searched job categories for Gpu Computing jobs in Massachusetts are:

Gpu Computing jobs near you
Infographic showing various Gpu Computing job openings in Massachusetts as of August 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,518 per year, or $20 per hour.

Evergreen Rising Stars in Scientific Computing

Flexcompute

Watertown, MA • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Flexcompute is a cutting-edge technology startup specializing in ultra-fast simulation technology. They are seeking ten exceptional recent graduates in Engineering, Physics, Mathematics, or Computer Science to join their 'Rising Stars in Scientific Computing' program, where recruits will develop algorithms and software for physics simulation and infrastructure computing while being mentored by senior technical staff.
Responsibilities:
• Develop algorithms and software for physics simulation in electromagnetics, photonics, fluid dynamics, thermal and structural analysis.
• Develop algorithms and software to deliver exceptional computing experiences, including optimizing efficiency of GPU computing systems, management and visualization of high-volume large-scale scientific data, geometry handling and computing, AI for scientific computing, and next-generation workflow optimization.
Qualifications:
Required:
• Recent graduate or graduating students in Engineering, Physics, Math, or Computer Science.
• Exceptional programming skills in C++. (The lack of C++ skills can be offset by a proven record of extensive contribution to open source projects in other programming languages.)
Preferred:
• Strong background in Electromagnetics, Photonics, Computational Geometry, Fluid Mechanics, Structural Mechanics, Aeroacoustics, Conjugate Heat Transfer, or adjacent fields.
• Familiarity with numerical methods for solving large scale partial differential equations.
• Master degree or PhD in an applicable technical field with 0-3 years of industry experience.
• Familiarity with version control systems such as git and the Linux command line.
• Familiarity with MPI, OpenMP, CUDA.
Company:
FlexCompute is an IT company that specializes in providing solutions related to simulation. Founded in 2016, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Apply