Google Cloud Jobs

As a Director, you will design and develop AI and machine learning solutions to support data-driven decision-making and business growth within our General Tax Consulting practice. You will set strategic direction, lead business development, and guide multiple initiatives while shaping client relationships and mentoring future leaders. This role involves applying data, algorithms, and software engineering to build scalable AI systems, translate ideas into practical solutions, and advance technology use across tax-focused client work.

$150k - $438k

Parameter

Full time • San Francisco, CA • $180K – $240K • 2 openings Parameter builds AI agents that do offensive security work. Our agents run autonomous penetration tests against production applications and cloud environments, finding IDORs, broken access control, XSS, and infrastructure misconfigurations that scanners miss and that human pentest firms only look for once or twice a year. We are not a theoretical security company. Our team has responsibly disclosed real, high-severity vulnerabilities to well-known technology companies, and our findings are the front door to most of our customer relationships. You'll build the agent systems that do the actual hacking. That means designing the reasoning loops, tool interfaces, and memory architecture that let an LLM behave like a competent offensive security researcher rather than a fuzzer with good manners. The title points at where you'll spend most of your time. Expect the rest of the week to go wherever the work is: agent systems one day, the product the next, a customer call or a report that has to go out after that. We are small enough that everyone works across every product, and we hire people who want that. What you'll do - Design and ship agent workflows in LangGraph and Temporal that plan, execute, and verify multi-step exploitation chains - Build the tool layer the agents operate through: HTTP clients, auth handling, browser control, cloud enumeration, payload generation - Own the eval loop. We use Braintrust and Langfuse. You'll define what “good” means for agent runs and make the number go up - Reduce false positives, which is the single hardest problem in this space and the thing customers care most about - Manage inference cost and latency at scale, including prompt caching, context strategy, and model selection across Claude and Bedrock What we're looking for - 3+ years of software engineering, with at least one year building production LLM systems (not just prototypes or demos) - Strong TypeScript. Comfortable with async, distributed systems, and long-running workflow orchestration - Real intuition for context engineering, tool design, and why agents fail in the wild - You measure things. You've built or maintained an eval harness and know why offline metrics diverge from production behavior - Bonus: security background, CTF experience, bug bounty history, or a track record of breaking things you were not supposed to break Interview process - Intro call with a founder (30 minutes) - Technical deep dive on your past work (60 minutes) - Paid work trial or take-home, scoped to roughly one day - Onsite in San Francisco with the team - References and offer Stack TypeScript · LangGraph · Temporal · GCP · AWS Bedrock · Anthropic API · Langfuse · Braintrust · GitHub Actions · Linear · Graphite We move quickly. Our target is an offer within two weeks of first contact. Small team, high trust, extremely fast. If you want to see your work in front of customers within days, this is that. This role is onsite in San Francisco. You must be authorized to work in the US; we are not able to sponsor visas at this time.

$180k - $240k

Code Metal

Code Metal is seeking a Lead Backend Engineer to join their Modeling & Simulation team. This role will lead the backend and data engineering team responsible for building the Python services, APIs, and data systems that power a next-generation wargaming and decision-support platform. The ideal candidate will balance people leadership with hands-on technical ownership, providing Principal-level backend engineering judgment, guiding architecture, and tackling complex technical challenges while growing a team of engineers. This platform is crucial for enabling government users to make critical multi-billion-dollar force-design decisions.

$253k - $294k

Databricks

Databricks is seeking a Senior Software Engineer for its Files team to innovate at the intersection of storage, performance, and distributed systems. This role will directly shape the company's filesystem strategy to power next-generation agentic workloads. The Filesystem has emerged as a preferred runtime interface for AI agents, serving as a foundational layer for context, memory management, artifact authoring, version control, sandboxing, and inter-system communication, thereby accelerating AI adoption.

$166k - $225k

ClickHouse

ClickHouse Labs is an applied research group focused on identifying and solving challenging problems in database systems, with a goal of advancing the state of the art and translating research into real-world system improvements. As a Research Scientist, you will tackle high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering. You will collaborate with experienced researchers and engineers on a broad range of topics, including query optimization, execution engines, distributed systems, and emerging agentic workloads, working with leading open-source systems like ClickHouse and PostgreSQL. Your work will involve investigating performance bottlenecks, developing new algorithms and system designs, and evaluating them under realistic conditions, with opportunities to publish your work and contribute to open-source projects.

$175k - $235k

The AI Cloud and Developer Productivity organization delivers and maintains the tools and services engineers use daily to enhance the entire development process, from code checkout to deployment. The AV Developer Tools team specifically owns AI-native tools and services that enable consistent and secure agentic workflows with visibility into their usage. The goal is to accelerate AV development by supporting developer workflows for performance and observability, ensuring production-level reliability and availability. This role focuses on building AI-native tools and services to improve developer productivity.

$180k - $284k

You will be part of a distributed agile team building a new SaaS platform that underpins enterprise applications for data analytics and other complex problems. Your role will involve ensuring the framework and products meet established design, implementation, and quality goals. This position requires a strong backend engineering focus within a globally distributed team, contributing to the architecture, development, and deployment of Securiti's core backend platform.

Accenture

Accenture Song is seeking a Customer AI Engineer to join their AI & Modelling Craft team in the UK. This role focuses on designing, building, and deploying AI solutions, including machine learning, generative AI, and agentic AI, to help clients better understand, serve, and grow their customer base. You will work across the full delivery lifecycle, from problem definition to deployment and monitoring, collaborating with multidisciplinary teams and client stakeholders. The position requires strong technical curiosity, a builder mindset, and the ability to translate complex business problems into scalable, reliable, and effective AI solutions.

Join PwC's Finance Transformation practice as a Junior Consultant specializing in BI & Reporting, AI & Machine Learning for the Banking and Asset & Wealth Management sectors. This role focuses on digitally transforming finance functions by optimizing processes like closing, reporting, budgeting, forecasting, and FP&A. You will be instrumental in creating dashboards, KPIs, and data models using tools such as Power BI, Power Query, and DAX, alongside designing Data Warehouses, Data Lakes, and Data Platforms. The position also involves applying Advanced Analytics, Machine Learning, Generative AI, and Agentic AI to areas like forecasting, anomaly detection, simulations, and finance process automation. You will engage directly with clients, from gathering requirements to designing, developing, testing, and implementing solutions, and will contribute to evaluating the feasibility, benefits, and ROI of data, analytics, and AI use cases. This is a cross-functional role blending finance, business analysis, data, technology, and innovation, with opportunities for national and international projects.

€28k - €33k

Anthropic

Our Sandboxing team builds the isolation layer that enables Claude to run code, use computers, or act as an agent. These systems are critical for executing code written by Claude for users, training and evaluating models, and supporting customer-deployed agents. The sandboxes must start rapidly, withstand adversarial code, and scale to handle numerous concurrent sessions. This role involves working at the intersection of the Linux kernel, virtualization, and container technologies, collaborating with research, product, and security teams to ensure both safety and performance.

$320k - $485k

As a Staff Data Engineer at Capital One, you will be a leading technical expert contributing to the future of data platforms and banking in the cloud. You will collaborate with data engineers, data scientists, machine learning experts, and product managers to devise scalable and reusable data solutions for complex problems. Your role involves driving innovation, optimizing business outcomes, and delivering strong data and technology solutions. You will promote engineering excellence, mentor junior engineers, and actively recruit talent to build our community. You will operate as a trusted advisor, sharing knowledge through communications, code samples, and blog posts, specializing in a particular subject area while impacting the organization broadly.

$269k - $307k

General Motors is seeking a Staff Individual Contributor to design and build the next generation of customer-facing AI systems. This role involves leading the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement. The successful candidate will establish durable technical patterns across cloud services and customer experiences, contributing production code in Python, Go, and/or Java. This is a senior technical leadership position focused on influencing architecture, mentoring, raising engineering standards, and driving execution through design and implementation.

$189k - $333k

Salesforce is seeking a highly experienced Field CTO to serve as the most senior technical voice on Data 360 in EMEA. This role requires deep expertise in the Salesforce Platform and modern data platforms, enabling you to architect solutions alongside customer Chief Architects and educate internal teams. You will be a data-first professional, fluent in headless and agentic AI, with a strong sales-driven presence and C-level credibility. The position involves thought leadership, strategic architecture in complex deals, and building reference architectures and technical go-to-market narratives. You will act as a long-term trusted advisor to strategic accounts, influencing the market's view of data-first AI.

d-Matrix

d-Matrix is seeking a Sr Staff Site Reliability Engineer to join their AI Infrastructure team. This role is crucial for owning the infrastructure layer that powers all engineering teams and customers, encompassing colocation facilities, on-premises GPU clusters, cloud environments, and platform services. You will be responsible for reliability, automation, and observability across these diverse environments, managing systems end-to-end from provisioning to incident response. This is a hands-on position focused on building and operating real infrastructure, collaborating with hardware and software teams on CI/CD, QA, and HPC workloads, and supporting customer-facing deployments.

$175k - $265k

Gray Swan AI is seeking a Machine Learning Engineer to play a pivotal role in shaping the future of AI safety solutions. This role blends applied research with system building, focusing on developing new approaches to adversarial testing, model evaluation, and robust inference. You will work at the boundary between research and production, translating novel ideas into scalable AI systems that withstand adversarial pressure. Your expertise in deep learning architectures, distributed systems, and parallel computing will be crucial for tackling complex challenges associated with resource-intensive models and advancing methodologies for controlling, monitoring, and analyzing these models in production environments.

$160k - $257k

The Application Modernization Platform (AMP) team is focused on transforming legacy applications into modern, microservices-based architectures on MongoDB. This involves building a dedicated platform and infrastructure to accelerate this transition, enabling a "build once, run anywhere" model for an AI-powered modernization suite. The team will architect the platform foundation and infrastructure to ensure seamless operation across diverse client environments, regardless of security or network constraints. This high-visibility initiative offers the opportunity to solve unique distributed systems puzzles and shape the future of how global enterprises leverage data and AI.

MongoDB's Application Modernization Platform (AMP) helps organizations modernize legacy applications and move their workloads and associated data from relational databases to MongoDB. The Platform team builds the shared foundations that make AMP a cohesive product by connecting specialized tools and services through consistent interfaces, integrating them with AI agents and development environments, and making them secure, observable, and straightforward to deploy and operate. We are looking for a Staff Engineer to set technical direction and lead delivery of this platform, combining deep systems engineering with product judgment to turn ambiguous requirements into reusable services and working integrations. Your impact will be measured by how reliably teams and customers can adopt and use AMP capabilities, and how much engineering effort the platform removes from their path.

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

We are seeking a Senior Software Engineer with a Full Stack Web Development background, focusing on Google Cloud Platform (GCP) and Vertex AI Search. This role is part of the Brands & Marketing Software Engineering Team, responsible for building innovative customer experiences, including AI-powered discovery and search. The mission is to leverage GCP and Vertex AI to deliver intelligent, personalized digital experiences at scale. The successful candidate will lead engineering efforts in planning, design, architecture, and execution, with a strong emphasis on building modern web applications that integrate with GCP-native services and designing AI-powered search experiences.

Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across major cloud platforms like AWS, GCP, and Azure. Within this team, the model & inference launch team focuses on the validation pipeline for inference servers and load balancers. This critical infrastructure work ensures that every inference change, including new model launches and performance improvements, is deployed with correctness, performance, and reliability. The goal is to make validation fast, cost-effective, and trustworthy, directly impacting how quickly advanced models and features reach users on all cloud platforms and how efficiently compute resources are utilized.

$320k - $485k

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Public Cloud Platform Engineer at JPMorgan Chase within the Global Technology team, you will be guiding application teams on moving to public cloud, supporting with maintaining, and resolving production incidents that impact our customers, clients, and businesses around the globe. You will drive, support, and deliver on a strategy to operate and build broad use of Amazon's utility computing web services, identify opportunities to improve resiliency, availability, security, and high-performing platforms in Public Cloud using JPMC best practices, and improve reliability, quality, and reduce time to resolve issues in production incidents on software applications.

We are seeking an ambitious and self-driven AI Engineering Lead to join our Analytics & AI team. This role is ideal for a passionate technologist with deep expertise in Machine Learning, Artificial Intelligence, and modern software engineering, who is motivated by solving complex, real-world problems and shaping technical direction. As a principal technical specialist, you will design and deliver advanced AI solutions, drive engineering excellence, support business development, and act as the go-to person for technical challenges.

Together AI

Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products. As a Staff Software Engineer focusing on AI Compute, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware. This is an architect-and-build role where you will set the architecture for automated bootstrapping of GPU data centers, high-performance virtualization, and fault-tolerant decentralized control planes, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer up to the global management plane that schedules capacity across all data centers. At this level, the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.

$260k - $300k

Scale AI

Scale is seeking a New Grad Software Engineer for its Public Sector team. This role involves building core product systems to ingest and process federal datasets, supporting real-time decision-making in critical environments. You will own mission-facing work from day one, shipping features, interacting directly with government stakeholders, and iterating rapidly. The position offers the opportunity to work on impactful projects, from developing AI agent guardrails and RAG pipelines to creating data visualization tools and deploying applications in secure government environments.

$124k - $162k