Slurm Jobs

18 open roles mentioning Slurm

Senior AI Infrastructure Engineer

9h ago
A

Anduril Industries

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. We are seeking a Senior AI Infrastructure Engineer to build, scale, and optimize the end-to-end machine learning platform that powers our autonomous systems. In this role, you will own critical components of our ML platform and MLOps tooling, building and operating the infrastructure required to train, evaluate, host, and serve complex AI models across various environments. You will collaborate closely with AI Research Scientists and Platform Engineers to streamline model development, enhance hardware utilization, and ensure the reliable deployment of models into safety-critical operational settings.

$191k - $253k

Costa Mesa, California, United States; Seattle, Washington, United States; Washington, District of Columbia, United States onsite
DockerKubernetesPython +9 more

HPC Systems Engineer

9h ago
A

Anduril Industries

Anduril Industries is seeking a High Performance Computing (HPC) System Engineer to directly support sensitive programs by building and maintaining large-scale HPC infrastructure. This role offers the opportunity to work with leading engineers and cybersecurity professionals on cutting-edge systems deployed globally for national security missions. You will be instrumental in architecting, deploying, and managing advanced GPU infrastructure, ensuring the seamless operation of critical compute environments.

$147k - $196k

Costa Mesa, California, United States onsite
AWSAzurePython +25 more

Senior GPU Supercomputer Scheduler Engineer

1d ago
n

nvidia

NVIDIA's Managed AI Research Superclusters (MARS) team is seeking a Senior GPU Supercomputer Scheduler Engineer to design and implement groundbreaking GPU compute clusters. This role involves developing solutions for demanding deep learning, high-performance computing, and computationally intensive workloads. You will contribute to the design and implementation of new scheduling features and services to optimize GPU compute clusters for fairness, occupancy, resilience, performance, and power usage. This is an excellent opportunity to deliver production-grade solutions, work with cutting-edge technology, and collaborate with technical leaders on significant challenges in machine learning, cloud computing, and system co-design.

$152k - $288k

US, CA, Santa Clara remote
DockerKubernetesPython +9 more

Applied Research Engineer, Chip Design

1d ago
n

nvidia

NVIDIA is seeking a world-class engineer to drive applied research at the intersection of AI and ASIC design. This role is at the forefront of transforming chip design using large language models, coding agents, and agentic AI, applying the latest AI advancements to NVIDIA's real ASIC design flows. The ideal candidate is a creative, collaborative researcher who wants their work to result in tangible silicon products on a real schedule, contributing to NVIDIA's legacy of innovation.

$192k - $357k

US, CA, Santa Clara hybrid
DockerPythonLLM +7 more

Senior Systems Software Engineer - GPU Performance at Scale

1d ago
n

nvidia

NVIDIA is seeking a Senior Systems Software Engineer to focus on GPU Performance at Scale. In this role, you will drive innovation in AI and GPU computing by contributing to world-class computing hardware and software. You will provide insights into large-scale system composition and tuning for high-performance compute runs, collaborating with researchers, developers, and customers to create improved workflows and develop new solutions. You will also engage with HPC, OS, CPU, GPU compute, and systems specialists to architect, build, and optimize large-scale performance platforms.

$184k - $357k

US, CA, Santa Clara remote
DockerPythonDeep Learning +7 more

Senior System Software Engineer - GPU Performance

1d ago
n

nvidia

NVIDIA is seeking a motivated Performance Engineer to join our GPU Communications Libraries and Networking team. This role involves influencing the roadmap of communication libraries that are critical for Deep Learning and High Performance Computing applications running on massive GPU clusters. You will analyze and optimize communication performance between GPUs, which directly impacts end-to-end application performance at scale. This is an excellent opportunity to advance the state of the art in GPU communication and contribute to NVIDIA's innovative technologies.

$152k - $288k

US, CA, Santa Clara remote
DockerKubernetesPython +10 more

Senior Systems Software Engineer- EDA Infrastructure

3d ago
n

nvidia

NVIDIA is seeking a Systems & Software Engineer to build and manage reliable, large-scale infrastructure platform services. This role involves creating and supporting automation for infrastructure management, specifically for EDA platforms running on NVIDIA hardware. You will be responsible for designing, building, deploying, and running infrastructure services, managing their software lifecycle, and developing automation to eliminate manual tasks and enable scaling. The role also includes defining internal service level objectives and error budgets as part of an observability strategy, practicing incident prevention and response, and consulting with peer teams on systems design best practices.

$184k - $357k

US, CA, Remote onsite
DockerKubernetesPython +8 more

DSX NVCRE Senior Engineer

3d ago
n

nvidia

NVIDIA is seeking a Senior Software Engineer to join our DSX team. You will build and operate tooling that verifies AI infrastructure readiness for production, focusing on cluster readiness and certification software. This includes working with the open-source Cluster Readiness Engine to validate GPU clusters across Kubernetes and Slurm, measure training and inference performance, and produce trustworthy evidence for customers and partners. You will collaborate with leading AI companies and cloud providers to ensure their infrastructure performs as designed for critical workloads.

$184k - $357k

US, CA, Santa Clara remote
KubernetesPythonGo +9 more

AI Infrastructure Engineer

3d ago
M

Mercor

Mercor is seeking an AI Infrastructure Engineer to build and manage the GPU and accelerator platform that powers our AI workloads. This role involves overseeing clusters, schedulers, training and inference serving, and the observability and cost data associated with fleet usage. You will write production code daily and own systems end-to-end, from design to on-call responsibilities. Mercor is a leading AI data company, building the layer between human expertise and frontier models, with a mission to organize human intelligence to power the AI economy. We are a profitable Series C company valued at $10 billion.

$200k - $400k

San Francisco onsite FullTime
AWSGoogle CloudKubernetes +11 more

Technical Support Engineer (GPU Clusters) - US Weekends

7d ago
Together AI

Together AI

As a Technical Support Engineer at a pioneering AI company, you will be the first line of defense supporting customers building training, fine-tuning, and inference solutions. You will address complex technical challenges, provide effective solutions, and act as a product expert. Collaborating with product and sales teams, you will contribute to the continuous improvement of offerings. This role is for a technically proficient individual passionate about AI and customer success, seeking to make a significant impact in a fast-paced, innovative environment.

$160k - $230k

Remote onsite
KubernetesFine-TuningReinforcement Learning +8 more

Senior Systems Software Engineer - NV Cloud Functions

17d ago
n

nvidia

NVIDIA Cloud Functions is seeking a motivated AI/ML Engineer with expertise in AI platform engineering at scale. The team develops and manages a serverless deployment platform designed to enable and scale AI inferencing workloads. This platform utilizes globally distributed orchestration of workloads on Kubernetes clusters backed by GPUs, operating in a cloud-agnostic manner. The role involves working with a team of innovative engineers to deliver a top-tier product for both external clients and internal NVIDIA teams, contributing to the forefront of cloud engineering paradigms for AI at scale.

$152k - $288k

US, CA, Santa Clara remote
KubernetesPythonGo +16 more

Machine Learning Engineer (AI/ML)

23d ago
C

ClickHouse

ClickHouse is a rapidly growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating the company's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, and in-console copilot. We are seeking experienced software engineers to design, build, and operate these cutting-edge AI products, making ClickHouse the platform of choice for agents and data scientists.

$150k - $238k

New York remote FullTime
AWSAzureGoogle Cloud +7 more

Machine Learning Engineer — Reinforcement Learning

25d ago
I

Institute of Foundation Models

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, cultivate the next generation of AI builders, and make significant contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Sunnyvale, CA onsite Full-time
KubernetesPythonPyTorch +9 more

Machine Learning Engineer — Pre-training (LLM)

25d ago
I

Institute of Foundation Models

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will have the opportunity to work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, participating in the creation of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Sunnyvale, CA onsite Full-time
KubernetesPythonPyTorch +9 more

AI Compute Engineer - NVIS

29d ago
n

nvidia

NVIDIA is seeking an AI Compute Engineer to join its Infrastructure Specialists team. This role involves working on some of the world's largest and fastest AI Compute systems, supporting academic, commercial, and government groups. The engineer will interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects, encompassing networking, system design, automation, and validation.

$124k - $196k

US, CA, Santa Clara onsite
KubernetesPythonDeep Learning +8 more

Senior AI Compute Engineer - NVIS

1mo ago
n

nvidia

NVIDIA is seeking a Senior AI Compute Engineer to join its Infrastructure Specialists team. This role involves working with academic, commercial, and government groups globally to revolutionize deep learning and data analytics, and to power data centers. You will be part of a team building some of the world's largest and fastest AI Compute systems. The position requires strong interpersonal skills to interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects, encompassing networking, system design, automation, and validation.

$148k - $288k

US, CA, Santa Clara onsite
KubernetesPythonDeep Learning +8 more

Staff Software Engineer - AI Research Infrastructure

1mo ago
Databricks

Databricks

Databricks is seeking a Staff Software Engineer to join their AI Research Infrastructure team. In this role, you will be responsible for developing and operating the research stack that powers Databricks' AI research efforts. You will design and build services for scheduling, orchestrating, and observing large-scale training and inference experiment workloads across thousands of GPUs. Your work will involve improving developer tooling to ensure researchers can iterate quickly while maintaining reliability, efficiency, and security. You will collaborate closely with research scientists, ML engineers, and platform teams to transform experimental workloads into robust, repeatable pipelines and push the boundaries of the infrastructure's capabilities.

$199k - $270k

New York City, New York; San Francisco, California remote
KubernetesPythonGo +8 more

Senior Deep Learning Software Infrastructure Engineer

1mo ago
n

nvidia

NVIDIA is seeking a Deep Learning Software Infrastructure Engineer to advance its Autonomous Vehicles project. In this role, you will be responsible for building and scaling the training libraries and infrastructure necessary for end-to-end autonomous driving models. By enabling training on thousands of GPUs and massive datasets, you will significantly accelerate iteration speed and enhance safety, working collaboratively with research and platform teams across NVIDIA.

$224k - $431k

US, CA, Remote remote
KubernetesPythonPyTorch +7 more

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