Distributed Systems Jobs

205 open roles mentioning Distributed Systems

Member of Technical Staff, Agentic Systems

1mo ago
M

Mercor

Mercor is seeking a Member of Technical Staff to build the backend systems and agent infrastructure for their talent network. A significant portion of Mercor's operations rely on agents for sourcing, screening, matching, and supporting experts with minimal human intervention. This role involves designing and deploying the services that power these agents, including orchestration, tool interfaces, evaluation, and data models for auditable and reversible decisions. This is a hands-on engineering position requiring coding, end-to-end system ownership, and collaboration with product, operations, and AI researchers to define agent functionalities and human involvement. The company is a profitable Series C organization valued at $10 billion, focused on organizing human intelligence to power the AI economy. They are a leading AI data company building the interface between human expertise and advanced AI models, with millions of domain experts earning significant daily income to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work, and Mercor Enterprise extends this infrastructure to Fortune 500 companies.

$160k - $500k

San Francisco onsite FullTime
AnthropicLLMAI Agents +8 more

Staff ML Engineer, Agent Training & Environments

1mo ago
L

Labelbox

Labelbox is building the critical infrastructure for breakthrough AI models, focusing on data-centric approaches. We offer integrated solutions for frontier AI development, including an Enterprise Platform & Tools for scalable data annotation, a Frontier Data Labeling Service with specialized expertise, and an Expert Marketplace connecting AI teams with skilled annotators. We operate in a high-impact, fast-paced environment that rewards ownership, technical excellence, and continuous learning. This role is central to advancing frontier agent capabilities, bridging the gap between training and infrastructure by building the systems that run experiments, including environments, verifiers, and fine-tuning pipelines. We seek engineers with strong judgment who can set technical direction, build reliable systems quickly, and are at the forefront of agent-first engineering practices.

$250k - $280k

San Francisco Bay Area remote
Google CloudKubernetesPython +13 more

Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

1mo ago
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nvidia

NVIDIA is seeking a motivated system software engineer with deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver. This role is integral to a team that delivers features and improvements to realize the full potential of NVIDIA hardware for a wide range of computational workloads, including deep learning, scientific computation, data science, self-driving cars, video games, and virtual reality. You will use your design abilities, coding expertise, and creativity to craft elegant solutions to exciting problems and shape the future direction of CUDA by collaborating with peers across NVIDIA.

$152k - $288k

US, CA, Santa Clara remote
Deep LearningAICUDA +7 more

Senior/Lead Software Engineer, Developer Productivity (AI Tooling)

1mo ago
S

Salesforce

Salesforce is seeking a Lead Member of Technical Staff to join the AI Solutions team. This role will focus on building internal products and platforms that enable Salesforce engineers to adopt AI-assisted development safely and effectively. You will be responsible for designing, building, and owning full-stack product and platform capabilities, including desktop applications, backend services, data pipelines, and dashboards. The goal is to translate fast-moving AI developer productivity ideas into reliable software used by thousands of engineers daily, driving innovation and efficiency at scale.

$149k - $260k

California - San Francisco remote
AnthropicKubernetesPython +8 more

Senior Software Engineer - CUDA and Unified Memory

2mo ago
n

nvidia

We are hiring software engineers to work on the CUDA driver, a core component of our platform for accelerating general-purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, and the operating system. Unified Memory kernel driver provides kernel memory management that enables these advanced features. As a member of our team, you will apply your design, coding expertise, and creativity, and to collaborate with peers across NVIDIA to deliver upon the best compute platform in the world. You will craft sophisticated solutions to exciting problems shaping the future direction of CUDA!

$184k - $357k

US, CA, Santa Clara onsite
Deep LearningCUDAGPU +8 more

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