we are looking for a Data & AI Infrastructure Team Leader to lead a team of Data Engineers and Software Engineers developing innovative clinical applications that power next-generation AI healthcare solutions. The team provides data management solutions, AI development infrastructure, software integration frameworks, evaluation and verification capabilities, and scalable deployment mechanisms.
This role requires end-to-end ownership and a broad systems perspective, from understanding customer needs and product requirements to enabling successful product delivery.
If you're looking for a meaningful opportunity to make a real impact on healthcare and help improve patients' lives, we'd love to hear from you.
Job Description
Key Responsibilities
Team Leadership
Lead, mentor, and grow a team of Data Engineers and Software Engineers.
Define team priorities, roadmap, and execution plans aligned with business and product objectives.
Foster engineering excellence, accountability, collaboration, and continuous improvement.
Drive effective cross-functional collaboration with Algorithm, Clinical, Product, Verification, Regulatory, and Systems Engineering teams.
Establish technical standards, best practices, and development processes.
Data Infrastructure & Data Operations
Lead the design, development, and maintenance of enterprise-grade data infrastructure supporting AI development.
Own database architecture, data repositories, and scalable data management solutions.
Drive solutions for clinical data collection, anonymization, curation, annotation, versioning, traceability, and lifecycle management.
Develop and maintain integrations with internal company systems and data sources.
Ensure secure, compliant, and efficient data access mechanisms for global development teams.
Support regulatory submissions through reproducible and auditable data preparation processes.
Establish data governance standards, quality controls, and operational excellence practices.
AI Software Platform & Integration Infrastructure
Lead development of software frameworks enabling integration of AI technologies into multiple product platforms and operating environments.
Drive creation of reusable SDKs, plugins, APIs, and services that accelerate AI deployment across products.
Support integration of AI solutions into Linux and Windows-based medical device platforms.
Define and maintain AI integration architecture, deployment mechanisms, and compatibility layers.
Enable rapid prototyping and evaluation environments for algorithm development teams.

Required Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design
In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on chiplet-based computing systems. This role involves research and development in chiplet-based architectures, aiming to overcome performance and scalability limits of traditional compute platforms.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system.

We are looking for an experienced Software Team Leader to build and lead a new team focused on AI and agent technologies for enterprise data platforms.
This is a hands-on leadership role. The Team Leader will define the technical direction, build the first solutions, recruit engineers, and turn new AI ideas into production systems.
The main focus is AI agents, RAG, natural-language interaction, model integration, and intelligent workflows. Database technologies are an important foundation, but not the center of the role.
Responsibilities:
Lead a new software engineering team.
Define the AI architecture, roadmap, and technical priorities.
Build AI agents that reason, use tools, and execute multi-step workflows.
Develop agent orchestration, state management, and workflow execution.
Build agent workflows for data analysis, automation, and decision support.
Integrate LLMs, embedding models, and model-serving platforms.
Develop tool and API integration for AI agents, including MCP where relevant.
Optimize AI systems for latency, throughput, cost, and scale.
Move successful prototypes into production-grade software.
Work closely with data, database, infrastructure, cloud, and product teams.
Key Technical Areas:
AI agents and agentic workflows
LLMs and Small Language Models
RAG and semantic retrieval
Embeddings, vector search, and reranking
Tool calling and workflow orchestration
MCP and enterprise tool integration
Enterprise data agents, enterprise data platforms and database integration.

As a Software Development Engineer in Test on our team, you will own the quality of Nitro card embedded software and firmware. You will design, develop, and maintain test automation for embedded systems and components, covering hardware interface verification, real-time firmware behavior validation, firmware update integrity, and fleet-scale deployment confidence. You will collaborate closely with firmware development teams to troubleshoot complex system-level problems at the hardware-software boundary and ensure timely delivery of high-quality Nitro card software to AWS Cloud solutions.

Key job responsibilities
- Own the firmware test automation framework - architect, develop, and extend a Python-based validation solution that scales across multiple Nitro card generations and hardware platforms, automating test coverage across the full firmware stack from boot sequences through board management layers and card-level system integration.
- Design and implement traceable, specification-driven test cases that validate firmware functional correctness, fault tolerance, and performance across hardware components, communication interfaces, and cross-subsystem interactions.
- Optimize CI/CD pipelines by integrating pre-merge and post-merge firmware validation, defining trigger policies per hardware generation, enforcing coding-standard compliance, and reducing commit-to-validated cycle time.
- Troubleshoot complex embedded system failures by analyzing firmware logs, system traces, and hardware diagnostics, then translate field incidents into targeted regression suites that prevent recurrence.
- Collaborate with firmware and hardware teams during new-generation silicon bring-up, define test plans, drive quality gates for production release, and mentor teammates on testing best practices and system architecture.

A day in the life
You start your morning reviewing overnight CI results and triaging any firmware validation failures flagged across active Nitro card generations. Mid-morning, you pair with a firmware engineer to debug a boot-sequence regression discovered during pre-merge testing, using hardware-in-the-loop test benches and system traces. After lunch, you join a design review for a next-generation Nitro card, providing input on testability and proposing validation strategies for new subsystem interfaces. Later, you refine your test framework to improve coverage for a recently released feature, then wrap up by sharing your findings in a team knowledge-sharing session.

Required Software Engineer III, Technical Infrastructure
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
Design, develop, and maintain advanced software modeling tools and simulation environments.
Leverage C++, Python, and experimental AI-driven methodologies to perform deep-dive studies and automate analytical workflows.
Conduct in-depth security analysis and threat modeling for hardware-software interfaces.
Develop and implement methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring our systems meet the highest standards of safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles. Contribute to expanding the team's suite of AI-assisted capabilities.

Required Software Engineer II, Notification Platform
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.The Core team builds the technical foundation behind our flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Help the team improve our offering to collaborators by implementing new features and abilities.
Design and build back-end services and pipelines.
Collaborate with other team members to solve complex problems across a large stack of technologies.

We are looking for an experienced Tech Lead to lead a team of 3-5 software engineers developing innovative database security and data protection solutions for enterprise platforms.
This is a hands-on technical leadership role focused on cybersecurity, data security, and advanced software engineering. The successful candidate will combine deep security expertise with strong software architecture skills to define technical direction, lead engineering execution, mentor developers, and build enterprise-grade security solutions.
The role requires strong technical ownership, the ability to solve complex security challenges, and close collaboration with security researchers, product teams, customers, and engineering organizations. Occasional travel may be required for technical discussions and customer engagements.
Responsibilities:
Lead and mentor a team of 3-5 software engineers, providing technical guidance and driving engineering excellence.
Define software architecture, technical strategy, and development direction for database security products.
Design and develop advanced cybersecurity and data security solutions for enterprise environments.
Lead security architecture discussions, technical design reviews, and code reviews.
Translate complex security requirements and research concepts into practical, scalable software solutions.
Drive secure software development practices across architecture, design, implementation, and deployment.
Solve complex technical challenges related to security, reliability, scalability, and performance.
Collaborate with security researchers, product management, and cross-functional engineering teams.
Participate in customer-facing technical discussions and occasional international travel.
Remain hands-on and contribute to critical software components and technical decisions.