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Remote Gpu Programming Jobs in Oregon (NOW HIRING)

Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI ... remote, or "denied" environments. * Systems Programming: Mastery of Go, C++, or Rust, with a deep ...

Comfortable partnering across engineering, SRE, and security in an all-remote setting. * Aligned ... GPU scheduling, distributed training, model serving, vector stores, or feature stores. * Cost ...

... GPU clusters to large-scale multi-unit campuses at up to 400 kW/rack. Armada needs an Electrical ... This role is remote. What You'll Do (Key Responsibilities) * Develop and maintain electrical ...

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108K - $147K/yr

Experience with GPU-enabled clusters is a bonus. * Production experience with Kubernetes templating ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Principal Technical Artist, Games R&D - Tech Lab

OR · On-site +1

$126K - $151K/yr

... developer experience that enables developers to focus on the fun. The R&D Team Games Principal ... Drive runtime and memory performance across CPU, GPU, and bandwidth budgets. Profile, diagnose, and ...

Principal Software Engineer - Hosting

OR · On-site +1

$134K - $180K/yr

Pantheon is a vibrant, remote-forward team of experts who care deeply about their craft and results ... Awareness of the infrastructure requirements of AI workloads - including model serving, GPU ...

Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ... GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP ...

Electrical Designer/Drafter

OR · Remote

$70K - $88K/yr

This role is remote. What You'll Do (Key Responsibilities) * Produce and maintain electrical ... Work from engineer-provided redlines, sketches, and load calculations to produce issue-ready ...

Remote Gpu Programming information

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 are popular job titles related to Remote Gpu Programming jobs in Oregon? For Remote Gpu Programming jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Remote Gpu Programming jobs? Cities in Oregon with the most Remote Gpu Programming job openings:
Distinguished Engineer / Technical Fellow

Distinguished Engineer / Technical Fellow

Armada

OR • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

About the Role

As a Distinguished Engineer / Technical Fellow, you will be the primary architect of Armada's long-term technical vision. This is a "builder-leader" role for a world-class technologist who possesses a deep, fundamental understanding of data center architecture, high-density compute, and massive-scale AI infrastructure. You will solve the most difficult technical hurdles across our core product suite while leading the R&D for "Next Horizon" projects, such as Data Centers in Space. Beyond internal development, you will act as a key technical diplomat, collaborating with our most strategic industry partners to design deep-tech solutions that deepen Armada's product adoption and expand our reach into entirely new frontiers.

Location: Bellevue, WA / San Francisco, CA / Remote

What You'll Do (Key Responsibilities)

  • Architecting the Universal Edge: Lead the evolution of the Armada Edge Platform (AEP), ensuring seamless orchestration of compute and AI workloads across globally distributed, high-latency, and disconnected environments.
  • Next Horizon Projects: Drive the architectural roadmap for visionary initiatives, including Data Centers in Space. This involves adapting the Armada stack for orbital compute modules and solving for the unique challenges of Low Earth Orbit (LEO)-including radiation-tolerant software, thermal management, and power-constrained AI processing.
  • Strategic Partner Engineering: Work directly with elite industry partners to co-design solutions that integrate Armada's technology deeper into their global ecosystems. You will ensure our platform becomes the standard infrastructure for compute, whether terrestrial or orbital.
  • Technical Strategy: Partner with Company Leadership to define the 3-5 year technical roadmap, identifying emerging technologies in high-density GPU orchestration and orbital data processing that align with our long-term business goals.
  • Hard-Problem Solver: Act as the final point of escalation for complex architectural challenges involving real-time data streaming, computer vision, and network-aware workload distribution.
  • Innovation & R&D: Lead Proof-of-Concepts for next-generation capabilities, such as in-orbit inference, adaptive learning at the edge, and secure Earth-to-space data orchestration.
  • Mentorship: Elevate the entire engineering organization by mentoring Staff and Principal engineers, fostering a culture of high-performance engineering and architectural rigor.

Required Qualifications:

  • Core Infrastructure Mastery: Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI Infrastructure at scale. You should understand the full stack from silicon to the orchestration layer.
  • Experience: 15+ years of software engineering experience, with a proven track record as a Distinguished Engineer, Fellow, or equivalent senior technical leader at a major infrastructure or AI company.
  • Distributed Systems Mastery: Expert-level knowledge of distributed systems and data storage in resource-constrained, remote, or "denied" environments.
  • Systems Programming: Mastery of Go, C++, or Rust, with a deep understanding of how software interacts with physical compute hardware and non-terrestrial networking layers.
  • Ecosystem Influence: Proven ability to work across company lines with partners to build "1+1=3" technical solutions that drive adoption and industry standards.

Preferred Qualifications:

  • Deep understanding of networking stacks, specifically optimization for satellite and terrestrial mesh networks.
  • Interest or experience in orbital mechanics, radiation-tolerant software design, or space-based communication protocols.
  • Experience building "Day 2" operations for fleets of thousands of remote, distributed devices in harsh environments.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.

In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

  • Competitive base salary and equity
  • Medical, dental, and vision (subsidized cost)
  • Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
  • Retirement plan options, including 401(k) and Roth 401(k)
  • Unlimited paid time off (PTO)
  • 14 paid company holidays per year

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