GPUs Jobs

6 open roles mentioning GPUs

Distinguished Architect, AI

18d ago
D

Datadog

Datadog is seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture team. In this role, you will act as a technical multiplier for leading AI labs and AI-native companies, bridging the gap between their infrastructure aspirations and Datadog’s technology roadmap. You will ensure our platform natively solves the unique observability challenges of training and deploying foundational models at scale. We operate as a hybrid workplace to foster collaboration and creativity while ensuring work-life harmony.

$330k - $440k

New York, New York, USA; San Francisco, California, USA hybrid
LLMAIdistributed systems +7 more

Research Science Intern (PhD)

18d ago
D

Datadog

Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. DAIR is an industrial research lab motivated by practical challenges in observability and software operation, focusing on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor.

$110k - $140k

New York, New York, USA; Pittsburgh, Pennsylvania, USA hybrid
AI AgentsMachine Learningmodel training +3 more

Principal Machine Learning Infrastructure Researcher

1mo ago
L

Lightmatter

Lightmatter is seeking a Principal Machine Learning Infrastructure Researcher to join our Machine Learning team. This team is focused on inventing novel hardware systems using Lightmatter technology and modeling the performance of Lightmatter-enabled systems on both training and inference workloads. This is primarily a creative role where you need to think outside the box to push the boundaries of systems research with the power of silicon photonics at your fingertips. This role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research.

$300k - $350k

Mountain View, CA hybrid
Deep LearningAIMachine Learning +7 more

Principal Software Engineer, Kernels

3mo ago
d

d-Matrix

At d-Matrix, we are at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate, execution-driven individuals ready to tackle challenges and shape the future possibilities of AI.

$195k - $285k

Santa Clara hybrid FullTime
PythonC#PyTorch +9 more

Research Engineer, AI Safety & Alignment

1y ago
C

Character.AI

Join us as a Research Engineer focused on AI safety and alignment, a critical challenge in today's AI landscape. Your work will be instrumental in understanding and mitigating the risks associated with advanced AI, conducting foundational research to enhance model safety, and solving core technical problems to ensure AI models align with human values and intentions. The Safety team pioneers techniques for more robust, honest, and harmless models. As a Research Engineer, you will translate theoretical research into practical applications, writing high-quality code to test hypotheses and integrate safety solutions into our products, contributing to user protection and the broader AI safety community.

$225k - $400k

Redwood City, CA remote FullTime
DockerKubernetesPython +8 more

Machine Learning Infrastructure Engineer

1y ago
C

Character.AI

Character.AI is seeking experienced Machine Learning Infrastructure Engineers to design, build, and maintain the training and serving infrastructure for ML research. This role involves providing essential infrastructure support to our ML research and product teams, developing tools to diagnose cluster issues and hardware failures, monitoring deployments, managing experiments, and optimizing GPU allocation and utilization for both serving and training. Join us to be part of establishing a new entertainment paradigm and shaping the future of Consumer AI.

$150k - $350k

Redwood City, CA remote FullTime
KubernetesPyTorchTensorFlow +3 more

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.