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Weekend Software Engineer Gpu Jobs in Pennsylvania

... using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other HPC frameworks • ... software designs • Support procurement, configuration, and management of HPC development and ...

Software Engineer

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer, you will be collaborating with an interdisciplinary ... performance out of the GPU * Leveraging the knowledge of multiple computer languages (C, C ...

Software Engineer

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer, you will be collaborating with an interdisciplinary ... performance out of the GPU * Leveraging the knowledge of multiple computer languages (C, C ...

Software Engineer

Pittsburgh, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer, you will be collaborating with an interdisciplinary ... performance out of the GPU * Leveraging the knowledge of multiple computer languages (C, C ...

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer focusing on cloud and backend infrastructure, you will ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

Software Engineer - Cloud

Pittsburgh, PA

$58.25 - $75.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer focusing on cloud and backend infrastructure, you will ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Be Doing As a Software Engineer focusing on cloud and backend infrastructure, you will ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

CSS applies a wide variety of software concepts, techniques, and languages to solve challenging ... Familiarity with training and evaluating models on GPU-accelerated hardware * Ability to build ...

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Showing results 1-20

Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in Pennsylvania?

The most popular types of Software Engineer Gpu jobs in Pennsylvania are:

HPC Software Engineer

Synopsys Inc

Canonsburg, PA • On-site

Full-time

Re-posted 8 days ago


Job description

Job Summary:
Synopsys Inc is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. The HPC Software Engineer will design, implement, and optimize parallel programming methods within simulation software, collaborating with experts to enhance performance and scalability across industries.
Responsibilities:
• Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other HPC frameworks
• Profile solver performance across CPU and GPU architectures using tools like Intel VTune, NVIDIA Nsight, or similar, and translate findings into actionable performance improvements
• Build and maintain code benchmarking suites that track solver performance across releases and catch regressions before they ship
• Drive adoption of modular, hardware-agnostic HPC programming models across multiple solver codebases, working with development teams to ensure consistency and reusability
• Collaborate with numerical methods experts to translate complex algorithmic requirements into performant, maintainable software designs
• Support procurement, configuration, and management of HPC development and testing platforms, including on-premise clusters and cloud-based environments
• Own packaging, build system work, and DevOps tooling using CMake, Azure DevOps, Conan, Docker, or CI/CD pipelines to streamline deployment and testing workflows
• Reduce solve times for engineering simulations used by leading companies across automotive, aerospace, energy, and electronics industries
• Enable customers to run larger, more complex models by making solvers scale efficiently across hundreds or thousands of cores
• Accelerate the adoption of GPU computing in production simulation workflows, unlocking new performance tiers for users with modern hardware
• Improve developer productivity across multiple solver teams by building reusable HPC frameworks and shared tooling
• Ensure performance consistency and reliability across solver releases through rigorous benchmarking and regression testing
• Help shape the technical direction of Synopsys simulation products as HPC architectures and customer workloads continue to evolve
• Support faster iteration cycles for product development teams by streamlining build, test, and deployment infrastructure
Qualifications:
Required:
• Bachelor's degree in Mechanical Engineering, Computational Science, Applied Mathematics, Physics, or related field with 2+ years of experience, or Master's degree in a related field.
• Strong hands-on experience with HPC software design, testing, and deployment in production or research environments
• Solid understanding of data structures, algorithms, and performance considerations in parallel computing contexts
• Proficiency with Git and collaborative development workflows across distributed teams
• Proficiency in Fortran and C/C++ for performance-critical code development
• Experience with MPI and distributed memory programming models
Preferred:
• PhD preferred.
• Experience with GPU hardware and at least one GPU programming model such as CUDA, HIP, SYCL/oneAPI, OpenMP, OpenACC, or Kokkos is a strong plus
Company:
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. Founded in 1986, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

Synopsys logo

About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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