Cloud Jobs

Scale AI

Scale AI is seeking a Senior/Staff Machine Learning Engineer to join the General Agents team, focusing on building robust, production-ready AI agents for enterprise use cases. This role involves working across the entire agent lifecycle, from design and development to evaluation, deployment, and iteration. You will translate cutting-edge agentic techniques into reliable systems that solve high-impact business problems, emphasizing generalization, extensibility, and deployment across multiple customers. The team operates at the intersection of frontier agent development and real-world application, aiming to deliver significant economic value through scalable agent systems.

$290k - $363k

Salesforce is seeking a Software Engineering MTS to join a new internal cloud platform team focused on network security controls and management. The mission is to develop highly-available, performant distributed systems that provide security at the network level across Salesforce's public cloud, encompassing microsegmentation, network policy distribution, access control, distributed firewalls, and DDoS prevention. This role involves designing and operating platforms that enforce security policy across a multi-cloud, multi-substrate environment, with a strong emphasis on distributed systems, networking, and building security infrastructure at scale. The role also emphasizes integrating AI agents into human workflows to drive efficiency and innovation, and contributing to the shared system context that enables AI to operate reliably.

$117k - $177k

Salesforce is seeking a Cloud Readiness Architect to join the Cloud Success Readiness team, focusing on enhancing customer adoption and product quality for Industries Cloud. This role involves deep collaboration with Technology & Product (T&P) and Customer Success Group (CSG) teams to ensure customer success at scale. You will gain a thorough understanding of the Industries Cloud product portfolio, its capabilities, and how they align with key customer use cases. Leveraging your expertise, you will provide product insights, recommendations, and document feedback for the T&P organization, working closely with various Cloud Success teams to scale product knowledge and support their customer interactions.

$150k - $227k

Supabase is seeking a Software Engineer to join their Turso core database team. This role focuses on advancing the future of agentic databases, specifically by contributing to the Turso Open Source database and its Cloud offering. You will work on enhancing Postgres compatibility, ensuring system reliability, maintaining cloud operations, and improving scalability to support a massive increase in database usage. The ideal candidate thrives in a fast-paced, asynchronous environment and is passionate about building scalable database technologies for a world with millions of daily agent-created databases.

Relace is building a globally distributed inference cloud, competing on price, speed, and reliability. We process over 800 billion tokens daily and have experienced significant growth, backed by a $23 million Series A funding round. Our team is small, offering substantial responsibility and growth opportunities. We develop our own stack, running on Kubernetes across multiple clouds, where performance directly impacts business success. This role focuses on the lowest level of our stack, optimizing code that runs directly on GPUs to maximize work per second and dollar, shrink models for cost-efficiency without sacrificing quality, and eliminate GPU idle time.

Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We are increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work. Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations.

Accenture

This role is for a Forward Deployed AI Engineer who works directly within client enterprises to ensure complex AI platforms function effectively in real-world organizational settings. Unlike consulting or project delivery roles, this position focuses on owning production outcomes such as time-to-value, adoption, reliability, and scalability. The core challenge addressed is the gap between successful AI pilots and scaled AI capabilities, bridging it with engineers who can translate platform potential into measurable business value within enterprise environments. Forward Deployed AI Engineers are central to the company's Reinvention Deployment Engineering pods, offering opportunities to define the role at scale and tackle significant enterprise AI challenges across various industries.

Anthropic

Reinforcement learning is crucial for training AI models like Claude to reason, write code, and act autonomously. At scale, RL training involves complex distributed systems running across numerous accelerators and hosts. As an engineer in RL Engineering, you will be responsible for securing this expanding system. This is a hands-on role where you will work directly within the RL codebase and its underlying infrastructure, collaborating with the engineers and researchers who develop and utilize it. The system's rapid evolution, driven by research advancements, requires security solutions that maintain pace without compromising performance or development velocity. We are seeking candidates with expertise in either security engineering for large-scale ML systems or ML systems/research engineering with a strong interest in security.

$320k - $405k

As a member of the AI Gateway Team, you will be responsible for developing and enhancing our AI Gateway platform, which provides a unified API for accessing hundreds of AI models from multiple providers. You will collaborate with a remote and distributed team of engineers to build reliable, low-latency systems that handle rate limiting, intelligent failovers, and seamless integrations, enabling developers to ship AI-powered applications without managing provider-specific complexities. This role focuses on ensuring production-ready reliability for AI workloads, including automatic fallbacks during outages and consistent performance across providers like OpenAI, Anthropic, Google, and more.

$196k - $294k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is building the horizontal AI platform that powers how employees use AI at work, extending beyond Glean to tools like Copilot, Gemini, and ChatGPT. This team is responsible for the end-to-end platform experience, including standards and tooling for REST APIs, SDKs, client libraries, agent SDKs and integrations, MCP servers, custom context like code and memory, and the supporting infrastructure and documentation. As part of a rapidly growing startup, this role involves working across multiple layers of the stack, from backend services to developer tools and SDKs.

$210k - $300k

Glean is seeking a Software Engineer, Developer Productivity to enhance how our engineers build, test, and ship software. This role involves optimizing our multi-language codebase, which is powered by Bazel and runs on GitHub Actions with cloud remote execution. You will be instrumental in designing and refining build systems, CI/CD pipelines, and developer tools. A key aspect of this position will be enabling engineers to effectively utilize AI-powered coding and productivity tools, ultimately reducing friction in daily workflows, scaling our infrastructure, and accelerating the entire engineering team's progress with confidence.

$140k - $220k

Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You will own the storage systems that handle Glean’s most sensitive data, from enterprise documents and permission hierarchies to user behavioral signals and real-time query path data. Your work will directly enable organizations at scale to discover and act on their critical knowledge, supporting millions of searches, chat interactions, and agent workflows. You’ll deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring for a key component that runs across multiple cloud providers. As part of the Storage team, you’ll be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You’ll also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale.

$200k - $300k

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

NVIDIA is seeking a Senior AI Security Engineer to join their Agentic & AI Cybersecurity Research team. This role focuses on building AI-powered cybersecurity tooling, seamlessly interfacing humans, models, and computing artifacts to create secure environments. The engineer will transform complex problems and prototypes into practical, production-ready solutions, collaborating with research, security, product, and partner teams to develop robust codebases and accelerate AI cybersecurity advancements.

$184k - $357k

NVIDIA is seeking a Senior Compiler Engineer to join our GPU Software organization. In this role, you will be instrumental in delivering features and improvements that maximize the potential of NVIDIA hardware across diverse computational workloads, including deep learning, scientific computing, autonomous vehicles, and gaming. Our compiler organization plays a critical role in every GPU NVIDIA produces. You will focus on the CUDA compiler front end, developing language features, diagnostics, and capabilities that empower both human developers and AI agents to create correct and high-performance GPU code. This position offers the opportunity to expand your expertise into other areas of the compiler stack, such as the LLVM-based optimizer, code generation, and MLIR.

$152k - $242k

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

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

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k