HPC Jobs

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

The Knowledge Architecture team at CoreWeave is responsible for how the Product and Engineering organization captures, structures, and shares information. This team builds internal documentation, onboarding content, and technical education programs to help engineers find answers and become productive quickly. They also establish standards and create the ontology infrastructure to maintain knowledge accuracy as the company scales. As a Knowledge Architect, you will contribute dedicated documentation and knowledge infrastructure capacity, writing and maintaining technical documentation for Product and Engineering teams, including systems documentation, workflows, runbooks, and guides. You will also build and maintain onboarding content for new engineers and work with subject matter experts to capture undocumented knowledge.

$134k - $179k

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

The AI revolution is driven by computation that is fast, efficient, and economical. At NVIDIA, performance is paramount, and the CUDA driver is a critical layer where architectural invention becomes useful computing. This team has a unique opportunity to impact numerous downstream systems and products by optimizing fundamental aspects of the CUDA driver and runtime. We are seeking systems software engineers to design and implement production C/C++ features and optimizations within the CUDA driver and runtime. You will trace workloads across various system boundaries, bring up new platforms, and translate evidence into future software and hardware direction, ultimately making AI tools more responsive and efficient.

$124k - $196k

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

Anduril Industries is seeking a Senior AI Infrastructure Engineer to lead the vision, execution, and long-term stability of how the company trains with GPUs at scale. This role involves taking ownership of cluster robustness, ensuring high-performance GPU systems are highly available, fault-tolerant, and resilient for ML platform and research teams. The primary focus is on logical stability and automated resilience, building self-healing mechanisms, tuning networking, and optimizing scheduling to ensure massive-scale training infrastructure runs seamlessly and scales efficiently.

$166k - $220k

Anduril Industries is seeking a Senior AI Infrastructure Engineer to lead the vision, execution, and long-term stability of how the company trains with GPUs at scale. This role involves taking ownership of cluster robustness, ensuring high-performance GPU systems are highly available, fault-tolerant, and resilient for ML platform and research teams. The primary focus is on logical stability and automated resilience, building self-healing mechanisms, tuning networking, and optimizing scheduling to ensure massive-scale training infrastructure runs seamlessly and scales efficiently.

$166k - $220k

We are the GPU Communications Libraries and Networking team at NVIDIA, responsible for delivering critical communication libraries like NCCL, NVSHMEM, and UCX for Deep Learning and High-Performance Computing (HPC) applications. These applications demand immense compute power and operate at scales involving tens of thousands of GPUs, connected via high-speed interconnects and networking. Communication performance is paramount, directly impacting end-to-end application performance, especially at massive scales. We are seeking a technical leader to manage our NVSHMEM and UCX libraries, offering an exceptional opportunity to advance the state-of-the-art and develop groundbreaking platforms.

$184k - $357k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform. This role involves analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software, operating across the full stack from hardware and system software to networking, virtualization, and distributed communication layers.

$170k - $300k

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data and model training through to production deployment. We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage, ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. You will define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.

$184k - $318k

You will design and build the core infrastructure that powers AI inference across Cloudflare's global network. This includes real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators. You will work alongside AI/ML engineers, hardware partners, and Cloudflare product teams to solve complex problems in distributed systems and high-performance computing. The role involves addressing challenges such as sub-second model cold starts, multi-accelerator workload scheduling, efficient KV cache management, and developing a model deployment platform for both internal use and customer models. This is an opportunity to be at the center of building a novel AI inference platform embedded in the fabric of the internet, defining how AI runs at the edge of the network.

$194k - $266k

NVIDIA is seeking a Senior Software Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role involves deep technical expertise in embedded firmware, Linux kernel development, and middleware development, combined with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment.

$184k - $357k

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

NVIDIA is seeking a highly motivated senior software engineer to join its communication libraries and network software team. This role involves developing and maintaining software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning. You will be instrumental in designing and implementing highly-optimized communication runtimes and system software that enables interactions among GPUs and with other system components, contributing to the advancement of AI and HPC.

$152k - $288k

Together AI

In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies, and solve complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations. You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.

$250k - $330k

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

Databricks

Databricks is seeking a Senior Staff Software Engineer to work on the AI Runtime system, which powers the world's largest AI platform. This serverless product enables companies to train their own models using enterprise data, similar to how frontier labs operate. The role involves tackling complex technical challenges to advance AI Runtime's architecture, reliability, and developer experience for both humans and AI agents. You will contribute to shaping the long-term technical direction of AI training infrastructure, anticipating industry trends, and optimizing training efficiency and cost across various model architectures and GPU accelerators.

$229k - $343k

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for its 2027 Deep Learning Computer Architecture internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading Deep Learning Computer Architecture teams. Interns will work on projects with a measurable impact on NVIDIA's business, tackling complex challenges in AI and digital twins that are transforming major industries.

$0k - $0k

Databricks

Databricks is seeking a Senior Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of AI models, providing customers with on-demand access to accelerators and a serverless experience that simplifies the complexities of provisioning, scheduling, and orchestrating multi-node jobs. As a Senior Software Engineer on AIR, you will be instrumental in building and scaling the systems that ensure large-scale training is fast, reliable, and effortless. You will lead the architecture and evolution of the managed GPU training stack, focusing on areas such as scheduling, distributed training performance, fault tolerance, and the developer experience for large-scale job operations. Beyond hands-on system development, you will contribute to the technical vision for AIR, mentor engineers, and collaborate with product, research, and platform teams to expand the impact of custom AI training at Databricks.

$160k - $225k

Databricks

Databricks is seeking a Staff Software Engineer for its AI Runtime (AIR) team. AIR is a managed platform designed for large-scale GPU training and fine-tuning of state-of-the-art AI models, providing customers with on-demand access to accelerators and a serverless experience. As part of this role, you will be instrumental in building and scaling the systems that ensure fast, reliable, and effortless large-scale training. You will influence the architecture and development of the managed GPU training stack, focusing on areas like scheduling, distributed training performance, fault tolerance, and the overall developer experience for operating jobs at scale. This position also involves defining the long-term technical vision for AIR, mentoring senior engineers, and collaborating with product, research, and platform teams to expand the impact of custom training at Databricks.

$190k - $265k