containers Jobs

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

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and integrated systems to power frontier models. This role focuses on defining and building the CI/CD systems essential for qualifying these advanced models and the software stack that runs on OpenAI's custom AI accelerators. The work ensures that correctness, performance, and stability are measurable for every code change, from initial commits to production releases. This position involves model workloads, accelerator software, systems infrastructure, and enhancing developer productivity by establishing scalable CI/CD and GitOps practices, designing robust regression and benchmarking pipelines, and collaborating with various engineering teams to optimize feedback loops.

$318k - $485k

CHAOS Industries is seeking a highly motivated, mission-oriented Applied AI Engineer to help develop, integrate, and deploy AI/ML-powered capabilities across its product lines. This role involves working closely with data scientists, software engineers, product teams, and mission stakeholders to conduct advanced AI research and translate it into reliable, real-world software, with a particular focus on defense applications requiring extreme accuracy under constrained, adversarial, and complex operational conditions. The ideal candidate possesses strong data science and software engineering fundamentals, a track record of technical excellence, and demonstrated experience applying AI/ML techniques to real products, with a strong plus for experience in aerospace, defense, critical infrastructure, robotics, RF systems, or other highly regulated or mission-driven environments. Comfort with operating independently, quickly learning new technical domains, collaborating across teams, and moving prototypes toward production with limited oversight is essential.

$140k - $193k

NVIDIA is seeking a Senior Software Engineer to join the NeMo Helix Core team, responsible for building and shipping an open-source, plugin-based AI platform. This platform is designed for developing, evaluating, deploying, and operating AI systems at scale, with a particular focus on optimizing and orchestrating AI Agents across various compute backends. The role involves contributing to a sophisticated agent execution framework that enables parallel experimentation to find efficient agent architectures, making AI systems more sustainable and cost-effective by reducing token usage and improving throughput.

$184k - $357k

Cerebras Systems is seeking a senior software engineer to build and scale the platforms and tools used to monitor and manage its growing fleet of AI clusters across multiple data centers. This role involves owning substantial engineering work across backend services, operational tools, and user-facing applications. You will collaborate with various teams, including Cluster Operations, infrastructure, inference, security, and data center teams, to translate operational challenges into reliable, scalable software solutions. The goal is to ensure fleet health, efficient issue response, and continuous compute capacity availability.

Mercor is a leading AI data company building the layer between human expertise and frontier models, organizing human intelligence to power the AI economy. The Applied AI organization focuses on building systems that transform human expertise into training data for advanced models, creating task pipelines, expert workflows, and evaluation infrastructure. This role involves owning and developing backend services within this stack, focusing on data models, APIs, and data pipelines that ensure correctness, speed, and observability as the platform scales. It's a hands-on build role where you'll take ownership from problem scoping through to production deployment and ongoing maintenance.

$220k - $500k

Thinking Machines is building AI that extends human will and judgment, and our Core Services team is responsible for the foundational infrastructure that enables models to run code, use tools, and take actions safely and reliably. This role involves designing, building, and operating a sandboxing platform where models can execute untrusted code and interact with tools. This is critical infrastructure that supports both internal research and external product development, requiring a focus on speed, security, and dependability.

$300k - $400k

Modal is building the next-generation infrastructure layer for AI, enabling companies to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. Our platform provides instant GPU access, sub-second container starts, and native storage, supporting category-defining customers. We are seeking a leader to own the direction and execution of our LLM inference platform, a critical component of our offering that delivers frontier performance with best-in-class elasticity and developer experience. This is a hands-on leadership role where you will split your time between technical contributions, product shaping, and people management, setting direction, removing blockers, and fostering a strong engineering culture.

$300k - $350k