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Gpu Computing Jobs in Massachusetts (NOW HIRING)

GPU Verification Engineer

Westford, MA ยท On-site

$141K/yr

... computing. What You'll Be Doing: * As a member of the GPU verification team, you will be ... responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and ...

GPU Verification Engineer

Westford, MA ยท On-site

$141K/yr

... computing. What You'll Be Doing: * As a member of the GPU verification team, you will be ... responsible for verifying the ASIC design, architecture and micro-architecture of NVIDIA GPUs and ...

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

CUDA Developer - Remote

Boston, MA ยท Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

CUDA Developer - Remote

Boston, MA ยท Remote

$60 - $100/hr

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

New

Showing results 21-40

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.

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.

HPE Labs - Senior Software Engineer - Integrated HPC & Quantum Solutions

Hewlett Packard Enterprise Development LP

Andover, MA โ€ข On-site

$124K - $163K/yr

Full-time

Posted 12 days ago


Job description

HPE Labs - Senior Software Engineer - Integrated HPC & Quantum SolutionsThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

The HPE Quantum team at HPE Labs is developing new approaches for quantum computing, including integration with high performance computing (HPC). As a Senior Software Engineer, you will be at the forefront of efforts to bring quantum computing from research to practical reality. You will bring expertise in software development and quantum computing to develop and extend quantum circuit compilation, circuit execution, resource estimation, and circuit simulation capabilities. Working closely with a multidisciplinary team of engineers, researchers, and product managers, you will build usable, efficient, and innovative systems that combine quantum and high-performance computing. The preferred candidate has a strong technical background in both quantum computing and HPC, advanced programming skills, and the ability to communicate complex ideas to diverse audiences.

Key Responsibilities:

  • Develop and demonstrate software that supports quantum computing applications and HPC-QC system management through job management, scheduling, compilation, and workflow frameworks
  • Create software adapters that connect quantum computing software tools (compilers, SDKs) with other tools using open standards where possible, and evaluate open-source and commercial software for inclusion in integrated HPC-QC environments
  • Develop functional and unit tests, support code quality with automated testing and continuous integration, and assist with code reviews
  • Implement and improve software prototypes to support research efforts, extending open source software as needed
  • Create mock-up and test bed systems to demonstrate HPC-QC software capabilities
  • Prepare internal and external demonstrations, create technical documentation, and write portions of research papers relating to software development efforts
  • Contribute to the development of open specifications and standards to support interoperability in quantum computing

Requirements:

  • Master's degree in Computer Science, Physics, Mathematics, or related field, or equivalent work experience
  • 6 or more years of programming experience
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Experience contributing to large software projects and creating new software efforts, including library API design
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • Strong understanding of quantum computing, including skills in understanding and optimizing circuits
  • Deep understanding of HPC architecture, GPU/CPU function and applicability, cluster design, job scheduling, workload optimization, and performance tuning and testing
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra

Knowledge and Skills:

  • Strong leadership, communication, and stakeholder engagement skills with an outcome-focused mindset and bias for action and delivery
  • Focus on quality and customer results, with creative and analytical thinking abilities and a passion for solving complex problems
  • Strong consensus-building skills, capable of conveying complex ideas clearly to both technical and non-technical audiences in written and presentation formats
  • Experience with Linux command line tools and familiarity with Agile development methodologies
  • Knowledge of quantum computing applications such as quantum chemistry, quantum simulation, quantum error correction (QEC), or combinatorial optimization
  • Experience with cloud computing platforms, GPU computing, AI/ML frameworks (e.g., TensorFlow, PyTorch), or compiler development (especially MLIR)
  • Experience developing microservices client/server software
  • Track record of sharing findings with the broader scientific community through research papers, blogs, or other public materials

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#Hplabs

Job:

Engineering

Job Level:

TCP_04"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 126,000 - 239,000 in Colorado // 135,500 - 258,500 in Massachusetts // 135,500 - 275,000 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is December 14 2026; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.