Support mission‑critical intelligence operations by modernizing analytic tradecraft and integrating advanced methodologies into customer mission sets.
Compensation
The pay range for this position is: $120,000 - $160,000
Responsibilities
Develop advanced analytic methods and solutions that transform complex intelligence data into meaningful insights for mission stakeholders
Design and implement analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets
Apply modernization techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows
Security Engineer responsible for technical security controls across the platform, cloud infrastructure, and corporate environment, focusing on detection, response, application security, IAM, and vulnerability management.
Compensation
The expected base salary range is $200,000 to $250,000 (NYC). Total compensation includes base salary, equity, and a full range of benefits and perks. Final compensation depends on skills, experience, qualifications, and location, and is set during the interview process. Our recruiting team will share the full package as you move through hiring.
Responsibilities
Learn environment and take ownership of focus area
Work with Infrastructure to close highest-risk gaps in AWS environment
Tune CI/CD and cloud scanning for accurate findings
Run and mature vulnerability management program
Triage and respond to findings from automated tooling, bug bounty reports, and third-party assessments
Provide technical guidance to customers adopting Google Cloud Platform services, troubleshooting technical problems, and delivering best practice recommendations.
Responsibilities
Provide solutions in cloud platforms and infrastructure; solve cloud platform tests.
Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
Work with customers to design and implement Cloud based architectures, migration approaches, and application optimizations that enable business goals.
Manage the customer’s problem through diagnosis, resolution, or investigation tools implementation to increase productivity for customer issues on GCP products.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Experience with SQL database administration
Lead verification of micro-display hardware for Google’s direct‑to‑consumer products, owning full verification life‑cycle and collaborating with design teams.
Responsibilities
Define verification strategies, test architectures, and detailed test plans covering full chip, subsystem, and block levels.
Architect scalable SystemVerilog and UVM verification environments with constrained‑random stimulus generation, protocol checkers, and automated scoreboards.
Drive technical leadership across global verification teams, conducting rigorous test plan and verification code reviews.
Partner with architecture and RTL design teams to resolve microarchitectural ambiguities, corner‑case bugs, and specification updates.
Establish bit‑accurate reference models using C/C++ integrated via DPI‑C to verify complex pixel‑processing algorithms and video pipelines dynamically.
Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Nice to have: Master's degree in Electrical Engineering or related field
Nice to have: high‑density micro‑display technologies
Lead technical solution design and support for Google Cloud AI customers, partnering with sales teams to deliver tailored demos, PoCs, and adoption strategies.
Responsibilities
Drive the technical solution for complex workloads within AI product areas to ensure rapid and successful adoption
Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts
Act as a trusted technical advisor and Google Cloud advocate by delivering deep technical consultation to build lasting relationships and traveling to customer sites, conferences, and industry events as required
Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team
Work within Product and Engineering management systems to document, prioritize and drive resolution of customer feature requests and issues
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: LangGraph
Nice to have: Semantic Kernel
Nice to have: Google AI Agent Development Kit (ADK)
Define long‑term technical solution and lead architecture, development, and production deployment of scalable, low‑latency, multi‑turn agentic AI systems across XR devices paired to Android and iOS
Drive foundational evolution of wearable AI and agentic tech stack
Establish technical direction and lead architecture for integrating and optimizing on‑device LLMs and multimodal models across Android and iOS platforms
Prototype, productionize multimodal AI, agentic reasoning, device‑native tool use, and OS/app integrations tailored to always‑on streaming audio, video, and mobile context under strict latency and compute constraints
Own and evolve the backend of the quantum chip design repository, including CI/CD pipelines, cloud simulation job orchestration, and layout tool integrations.
Own and evolve the backend of the quantum chip design repository, including CI/CD pipelines, cloud simulation job orchestration, and layout tool integrations.
Design and deliver infrastructure projects that shorten the processor design cycle, including CI acceleration, parallel simulation orchestration, and automated tapeout workflows.
Improve design reproducibility and end-to-end traceability by versioning design libraries and building artifact storage and data pipelines connecting design, fabrication, and test.
Serve as the primary software engineering partner for quantum chip designers, diagnosing workflow bottlenecks and shipping reliable tooling improvements.
Partner with device physicists and hardware engineering leads to scope infrastructure roadmaps, define system interfaces, and establish software quality standards.
Requirements
Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related technical field
Nice to have: Master's degree or PhD in Computer Science, Electrical Engineering, Physics, or a related technical field
Nice to have: experience with cloud workflow orchestration or containerized compute workloads
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