NVLink Jobs

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

Nebius is building a full-stack AI cloud platform to support developers and enterprises in AI/ML infrastructure. This senior systems engineering role focuses on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. The engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the root cause of issues, developing new troubleshooting procedures for ambiguous problems. The role requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions.

$180k - $224k

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

CoreWeave is seeking a Senior Engineer to join its Benchmarking & Performance team. This role will focus on building performance insights and observability systems for AI infrastructure, covering everything from individual GPUs and interconnects to distributed training and inference workloads. You will be responsible for detecting, diagnosing, and surfacing performance signals across global data centers, transforming raw telemetry into actionable insights for engineers, product teams, and executives. This is a hands-on role focused on building observability tooling that provides near real-time answers about infrastructure performance, rather than a traditional data engineering or BI position.

$182k - $242k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping human-level intelligence. The Helix team is seeking an experienced AI Training Performance Engineer to elevate model training. This role focuses on enhancing distributed training frameworks for large-scale model training, optimizing GPU kernels, evaluating different accelerator types, and co-designing models for maximum hardware utilization.

$200k - $400k

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

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

Prime Intellect is building the open superintelligence stack, a full-stack system that unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are seeking a Member of Technical Staff focused on GPU Infrastructure to join our team. This customer-facing role requires deep technical expertise to design, deploy, and optimize GPU cluster architectures for AI labs and ambitious AI teams. You will work at the intersection of frontier research, real infrastructure, and go-to-market for a new category of AI computing.

$150k - $300k

Etched is building hardware for frontier intelligence, focusing on inference. We are seeking talented interns to contribute to the design of next-generation AI accelerators. This role involves developing and optimizing compute architectures for exceptional performance and efficiency in inference workloads, tackling cutting-edge architectural problems and performance modeling.

Etched is building hardware for frontier intelligence, focusing on inference. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency. Backed by significant investment and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest-growing industry. We are a fully in-person team in San Jose, valuing engineering skills and expecting technical staff to contribute across disciplines, blurring the lines between engineering and research.

$175k - $400k

OpenAI

The Inference team at OpenAI is responsible for bringing the company's most capable AI models to the world through its products, empowering consumers, enterprises, and developers. This role focuses on optimizing these large-scale AI models for high-volume, low-latency, and high-availability production and research environments. The engineer will work to improve the performance, latency, throughput, and efficiency of the model inference stack, and build tools to identify and resolve bottlenecks. The team aims to accelerate research progression and enable users to achieve unprecedented capabilities with AI.

$266k - $500k