CI/CD Jobs

Code Metal is seeking a Staff AI Platform Engineer to architect and build the foundational AI enablement stack that internal engineering teams rely on. This role involves designing and operating production systems for GPU inference serving, model gateways, agent harnesses, context management, and observability. While primarily an engineering role focused on building and operating production systems, it also requires solid data science and AI research fundamentals to work closely with the AI Research team and conduct experiments when necessary. The platform is built to product standards, ensuring reliability and scalability for AI-driven code transpilation, modernization, optimization, modeling, and simulation solutions.

$205k - $250k

We are seeking a Senior Software Engineer to join our team focused on enabling CUDA Math Libraries on new and specialized platforms. This role is crucial for ensuring that NVIDIA's math libraries deliver high functionality and performance across a wide range of targets, supporting the AI, data analytics, and scientific simulation industries. You will be responsible for the integration, functional qualification, compliance, and performance readiness of these libraries on emerging platforms, collaborating closely with core library and devops engineering teams. This is an exciting opportunity to contribute to the forefront of application performance in the AI era.

$152k - $288k

At Mach9, ML infrastructure engineers build and maintain the systems that power production AI models for civil engineering and surveying. Our ML pipeline spans 10,000+ miles of labeled survey data, image segmentation networks, and 3D prediction models serving real-time inference to surveyors and engineers in the field. This role is ideal for mid-career ML infrastructure engineers with experience building for both training and inference. You'll build training pipelines that handle deep transformer models on hundreds of terabytes of 3D point cloud and image data. You'll also architect our inference infrastructure, delivering both heavy offline detection algorithms and real-time responsive inference that integrates directly with our CAD software.

$160k - $250k

d-Matrix is at the forefront of software and hardware innovation, aiming to unleash the potential of generative AI. We foster a culture of respect, collaboration, humility, and direct communication, valuing diverse perspectives to create better solutions. We are seeking passionate individuals driven by execution to join us in shaping the future of AI. As a Staff-level individual contributor on the Software Infrastructure team, you will drive the automation for our CI/CD and release pipeline. This involves diagnosing and fixing pipeline failures, such as identifying real regressions, flaky hardware, or infrastructure issues, and pinpointing the exact merge that caused overnight test failures. You will blend AI techniques with traditional software automation to build highly reliable systems and architect compute and storage solutions across cloud and on-prem environments. Your role will involve partnering with various teams to develop and spread best practices, reducing developer toil and accelerating development velocity.

$155k - $235k

The AI Platform team is building the shared runtime for all AI agents at MeridianLink, encompassing model gateway, orchestration, memory, and observability. This role focuses on the trust and explainability layer of this runtime, developing tracing, evaluation, and explanation capabilities. These features will enable engineers to understand multi-agent workflows and allow product teams to provide customers with appropriate explanations to build trust in agent outputs. This is a hands-on engineering role where you will write code for tracing agent actions, adopt and extend open-source frameworks for explainability and observability, and build primitives for surfacing explanations to end-users. You will work closely with a Staff engineer team lead and architects who will support your growth in this area.

$104k - $178k

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves owning the end-to-end product on each platform, from API integration and intelligent request routing to inference execution, capacity management, and operations. Engineers on this team are highly leveraged, driving multiple revenue streams while optimizing compute resources. The role requires product-minded backend engineers who can navigate platform differences, design cross-provider services and abstractions, and make architectural decisions for reliability and cost-effectiveness at massive scale. The work directly contributes to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

$320k - $485k

NVIDIA is seeking an outstanding individual to join our platform SWQA team as a Platform Software Validation Engineer (SDET). This role involves developing and executing test plans for NVIDIA HGX/DGX/MGX platforms, covering servers, OS, firmware, and CUDA software stacks. You will be responsible for installing and testing various systems, OS, server firmware, and software stacks, and driving root cause analysis for reliability and validation test failures. The position requires building and developing server and OS level automation frameworks and tests, reviewing partner and supplier test results, and managing the bug lifecycle within an agile development team.

$140k - $270k

NVIDIA is seeking a motivated security engineer to join the GPU Software team. This role will focus on automating the enforcement of security standards across all software releases, leveraging both traditional tools and AI agents, and promoting their adoption throughout the organization. The ideal candidate will be instrumental in integrating AI agents into security workflows, identifying manual processes for reinvention, and guiding proven agentic workflows from development to production. This position offers the opportunity to translate security requirements into automated checks for a wide range of software, from firmware to user-mode applications, and to own and maintain the release security scanning pipeline.

$152k - $242k

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

Together AI

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware and enables state-of-the-art ML practitioners with self-serve AI cloud services. This platform serves both internal StaaS products and external cloud customers across dozens of data centers worldwide.

$160k - $230k

Together AI

At Together AI, you will be responsible for the systems and tooling that enable engineers to ship code quickly and reliably. This includes CI/CD pipelines, release infrastructure, local development environments, and testing systems. This is a build-heavy, high-leverage role where you will drive large projects end-to-end, focusing on building the infrastructure that makes manual effort unnecessary and allows engineers to concentrate on product development.

$180k - $250k

WRITER is seeking a highly skilled fullstack software engineer to join their engineering team building advanced AI-driven agent systems. These systems will execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. Collaboration with cross-functional teams to translate complex agent concepts into production-ready systems is a key aspect of this position. WRITER is a rapidly growing company in the enterprise generative AI space, backed by significant investors and used by major enterprises.

$132k - $240k

Anthropic

The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.

$320k - $485k

Databricks

The Web Platform team at Databricks is rebuilding the public-facing web experiences from the ground up, making them AI-native from the start and pioneering an agentic SDLC. As a Staff Software Engineer on this team, you will own the platform layer that others build upon, including the web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents. This is a unique opportunity to shape the architecture of a web platform for an AI-native world, partnering with technical leaders and setting the standard for AI-native platform engineering.

$198k - $273k

Databricks

Databricks is seeking a Staff Backline Engineer to join their critical bridge team between Frontline Support and Engineering. This role focuses on handling complex technical issues and escalations within the Data and AI ecosystem, with a strong emphasis on customer success and proactive issue resolution. The engineer will be a technical expert and escalation point for challenging ML/AI issues, working collaboratively with Support, Engineering, Product, and customers to troubleshoot, identify root causes, and drive resolutions. The team prioritizes automation and tooling to enhance troubleshooting efficiency and improve platform supportability.

$0k - $0k

Databricks

The Web Engineering team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, making it AI-native from the start and pioneering an agentic SDLC as our operating model. As a Senior Software Engineer on this team, you will build and scale the platform layer that Web Engineering builds on, including the framework, infrastructure, CI/CD, and deployment pipelines. You will contribute to a unified, agentic-ready foundation that shifts platform maintenance from per-surface effort to a centralized, scalable system.

$160k - $220k

Accenture

Accenture Industry X is seeking a Senior AI Full Stack Developer with expertise in Python and React/TypeScript to design, build, and deploy production-grade AI applications. You will work across the complete technology stack, from Python backend services and AI orchestration layers to responsive React-based user experiences. This role involves hands-on work with Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), APIs, cloud platforms, and modern DevOps practices, transforming AI concepts into scalable, observable, and production-ready solutions within fast-moving, cross-functional teams.

Groq is building high-performance AI infrastructure designed to make inference fast, predictable, and scalable. Our infrastructure teams design and operate the systems that connect compute, data, and services at significant scale. We are looking for a Sr./Staff Network Engineer, AI/HPC to help architect, design, validate, and evolve the network infrastructure supporting Groq's rapidly growing AI compute environments. As a Sr./Staff Network Design Engineer, you will own network architecture and design across high-performance data center and AI infrastructure environments. You will translate capacity, performance, reliability, and business requirements into scalable network designs that can be deployed and operated consistently. This role requires deep expertise in data center networking, routing protocols, network architecture, automation, and large-scale infrastructure. You will work closely with network operations, data center engineering, compute, platform, security, and infrastructure teams to take designs from concept through validation and production deployment.

$270k - $366k

Cerebras Systems is seeking a Software Engineer to design and build the core software powering their engineering infrastructure. This role involves working on Python frameworks, orchestration systems, distributed execution, scheduling, test infrastructure, and developer tooling. The ideal candidate enjoys dissecting unfamiliar code, understanding system interdependencies, tackling complex debugging challenges, and improving underlying designs rather than implementing quick fixes. The team values strong software engineering fundamentals, independent problem-solving, and sound systems thinking.

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges. This role is for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. It is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks.