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Remote Software Engineer Gpu Jobs in Massachusetts

Android Embedded Software Engineer

Burlington, MA · On-site +1

$143K - $188K/yr

This position can be based in Burlington, Ma or remote. Qualifications Qualifications: - Minimum, Bachelors Degree in Electrical, Computer, or Software Engineering - At least 4 years of direct ...

Senior Software Engineer

Boston, MA · On-site +1

$130K - $150K/yr

America's Test Kitchen is seeking a high-impact Senior Software Engineer to help build and scale ... This role is based in our Boston, MA headquarters (Seaport District) or is open to qualified remote ...

Senior Embedded Software Engineer

Somerville, MA · On-site +1

$135K - $177K/yr

Easily implement common embedded software architecture patterns for things like filtering, control loops, and remote procedure calls * Architect code that your fellow software engineers are excited ...

Senior Software Engineer - File System

Boston, MA · On-site +1

$133K - $175K/yr

Strong written communication skills for design docs, reviews, remote collaboration, and operational ... total software engineering experience , with 4+ years in systems, storage, distributed ...

Senior Full Stack Software Engineer

Boston, MA · On-site +1

$160K - $210K/yr

About the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help ... Hybrid or remote-friendly depending on location and team needs Equal Opportunity This role is with ...

Showing results 41-60

Remote Software Engineer Gpu information

What is the difference between Remote Software Engineer Gpu vs Remote Software Engineer?

AspectRemote Software Engineer GpuRemote Software Engineer
Required CredentialsBachelor's in CS, experience with GPU programming (CUDA, OpenCL)Bachelor's in CS or related, general programming skills
Work EnvironmentCollaborates with AI, graphics, or high-performance computing teamsWorks on diverse software projects across industries
Industry UsageTech, gaming, AI, scientific computingTech, finance, healthcare, startups

The main difference is that Remote Software Engineer Gpu specializes in GPU programming and high-performance computing, while a Remote Software Engineer has a broader focus on general software development across various domains. GPU roles require specific knowledge of GPU architectures and parallel processing, whereas general software engineers work on a wider range of applications.

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

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For Remote Software Engineer Gpu jobs in Massachusetts, the most frequently searched job titles are:

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The top searched job categories for Remote Software Engineer Gpu jobs in Massachusetts are:

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Cities in Massachusetts with the most Remote Software Engineer Gpu job openings:

Senior Software Engineer [REMOTE]

Upbound - Job Posting

Boston, MA • On-site, Remote

$133K - $175K/yr

Full-time

Re-posted 24 days ago


Job description

Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We're the creators and primary maintainers of Crossplane, and we're building the Intelligent Control Plane-a new platform layer that makes infrastructure programmable, autonomous, and composable.
Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale-so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence.
Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We're a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we've raised $69M to date. Learn more at upbound.io.
Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations.
What You'll Do
  • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane.
  • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users.
  • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks.
  • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements.
  • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment - discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support.
  • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence.
  • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly.
  • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response.
  • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release.
  • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments.
  • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.
What You'll Bring
  • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability.
  • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments.
  • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance.
  • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments.
  • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads.
  • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build.
  • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features.
  • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges.
  • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers.

#LI-REMOTE
Why Upbound?
At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled-this is your seat at the table.
About Upbound
Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit www.upbound.io.