לוח משרות דרושים, לחיפוש זה נמצאו 532 משרות

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The companys disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our companys solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
Responsibilities and Duties
Join a new, fast-growing group at our company chartered with building hardware infrastructure for AI-scale data centers.
Own hardware programs end-to-end: from initial requirements through validation, production, and deployment.
Manage the interaction between internal R&D teams and external hardware vendors (ODMs), ensuring hardware development aligns with our company's software stack requirements and product timelines.
Collaborate cross-functionally with product management, systems architecture, software R&D, legal, and supply chain teams to align on requirements and execution plans.
Serve as the main technical point of contact with ODMs, managing technical discussions, tracking progress, and resolving issues.
Drive hardware and firmware planning, including schedule alignment with software integration cycles and overall AI data center rollout milestones.
Lead bug triage and resolution processes for hardware and firmware, including customer-reported issues.
Coordinate content and timelines for hardware and firmware releases, ensuring quality and timely delivery.
Identify and mitigate technical and schedule risks throughout the project lifecycle.
Provide technical guidance and hands-on engagement in board-level design issues, validation planning, hardware bring-up, and debugging.
Deliver regular status updates to executive stakeholders and drive decisions at critical project milestones.
Gather and communicate requirements in a collaborative manner across all stakeholders.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

we are looking for an ai FullStack engineer to join our competitive intelligence team. this role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced ai-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. you will spearhead ai solution projects from initial concept through execution and widespread adoption.
as an ai FullStack engineer - competitive intelligence at the company, you will
define architectural approaches and detailed technical engineering specifications.
main role: build, implement, and maintain the ai-powered intelligence stack, using llms, agentic capabilities, mcps, skills, and advanced rag, to automate data collection, analysis and sharing
make knowledge impossible to miss inside the company. build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
drive projects from concept to execution to delivery
evaluate and recommend ml and ai tools and frameworks to enhance productivity and effectiveness
ensure the scalability and reliability of llm-based system architectures
engage with requirement gathering and product discussions with internal customers at the company
be the focal point for collaborating with is, it and data science teams
have solid understanding of various aspects of the software development supply chain, including DevOps, devsecops and mlops, and conduct in-depth technical research around them
to be an ai FullStack engineer - competitive intelligence at the company you need
a proactive builder's mindset: a desire to automate workflows, take end-to-end ownership, and drive continuous improvement
bachelor's degree or higher in Computer Science, data science, software engineering, or similar
4+ years of relevant hands-on experience in developing and scaling production-grade genai architectures using modern llm stacks
proficiency with relevant tools, processes, and frameworks, such as: langchain, crewai, openclaw, NLP, vector databases, rag, building mcps and skills
coding fluency in Python and at least one other language (typescript/ JavaScript, go or rust)
deep understanding of cloud and cloud-native principles, including hands-on experience with major cloud environments (aws, gcp, azure) and containers/kubernetes
proven ability to conduct deep technical investigations - analyze complex systems, cloud environments, source code, and documentation, and synthesize the collected data into clear insights
passion and curiosity to stay current of industry trends and technological advancements
great communication skills and proven ability to serve as a liaison, coordinating and driving action across diverse org-groups (is, it, data science) to ensure effective enterprise-wide systems integration
excellent english communication (written and verbal)
comfortable in a dynamic, fast-paced company
significant advantages:
Full-Stack web development experience
3+ years of relevant hands-on experience in setting up, configuring, and using a broad range of industry devsecops technologies (ex. kubernetes, the company artifactory, gitlab, sonarqube, coding agents, security vulnerability scanners, github actions)

As the Team Lead, Technical Account Manager (TAM), you will lead a team responsible for delivering excellent technical account management, with a focus on guiding the seamless onboarding of new customers. You will ensure your teams success in building strong customer relationships, addressing technical issues related to observability, and maintaining data-driven operational excellence. This role requires technical depth in logging, monitoring, and observability tools as well as strong leadership skills.



Key Responsibilities:

Leadership & Team Development:

Lead, mentor, and manage a team of TAMs to ensure successful customer onboarding and long-term success.
Develop KPIs for the team and track performance related to the onboarding experience, ensuring customer satisfaction.
Provide technical guidance and foster team collaboration on observability tools and log analytics.
Technical Expertise & Customer Engagement:

Oversee the implementation of observability tools, guiding customers through Logs, Metric and Traces monitoring, and real-time analysis.
Ensure that your team delivers expert-level onboarding and ongoing, for our observability and logging solutions.
Provide deep technical insights on cloud observability and integration of into customer infrastructures.
Customer Relationship Management:

Be the primary escalation point for customer technical challenges.
Proactively work with customers to enhance their logging and observability practices, integrating them seamlessly with platform.
Engage with stakeholders to provide tailored technical solutions that align with customer business goals.
Data-Driven Leadership:

Leverage customer feedback and usage data to enhance the onboarding process and overall TAM team performance.
Analyze patterns in customer data, ensuring that your team applies data insights to improve observability outcomes and preempt issues.
Collaborate with internal teams on product enhancements, informed by your team's customer data analysis.

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.

In this role youll be part of an innovative team that creates the next generation of Intuits risk investigation and remediation system, working on cutting edge AI technologies.

If you love having stretch goals, real world challenges, and making customers incredibly happy whilst fostering your obsessive need for perfect code and user experience, this is the job for you.

You will collaborate with many teams in Intuit and contribute to many components in different Business Units.

We love engineers who lead the change, are not afraid of technical challenges, communicating with customers and delivering the most beautiful and intuitive applications.


Responsibilities

Successful delivery of high-quality software (requirements, design, code, documentation, etc.)
Contribute to early quality activities, including peer reviews of estimates, designs and code
Develop well-architected, elegant software solutions with a passion for excellence
Production support involved with monitoring systems and remediating issues
Work cross-functionally with various Intuit teams, partner effectively with all team members to deliver against commitments
Partner effectively with all team members to deliver against commitments
Mentor team members, fostering their progressional growth and development
Commitment to team success and positive team dynamics
Collaborate with other engineers to share best practices and knowledge of emerging technologies
Occasionally engage with customers to get a first-hand understanding of their needs
Strong leadership and communication skills, and ability to work well in a team
Perform and participate in peer code reviews

You will be part of the Platform team, reporting to the VP of R&D. This is a hands-on IC role at the crossroads of data science, software engineering and cloud infrastructure: you design the service, you build every layer of it, you ship it, you measure what it does for the products that use it, and you maintain and extend it with the features its users need.
Responsibilities
Own services end to end: From a one-page design through API, SDK, UI and infrastructure to production, built to the platforms service standards: tested at every level, auto-deployed on merge, with live status and cost per job.
Build data services at scale: Spark and EMR jobs over the lakehouse, orchestrated in Airflow, that resolve identities, join vendor feeds and score millions of records per run, and that get faster and cheaper with every release.
Put models and LLMs into production: Foundation model, embedding, classification and agent services, each with an evaluation harness behind it, so a model change is measured before a product feels it.
Build the full stack: Backend services, web consoles and SDKs that an engineer, a product team or an agent can use self-serve, with a user guide for people and a playbook for agents.
Run what you ship: Monitoring, alerting, retries and cost per job. You are the first responder when your service is red, and you announce every release to its users with measured numbers.
Work AI-native: AI coding agents are part of how we build every day. You drive them, review their output critically, and build services that agents consume as easily as people do.

we are seeking a talented and driven senior software Verification engineer to join our innovative team and tackle sw verification challenges in the domains of high-speed networking, virtualization, and security. you will play a key role in validating and testing complex software products that support ethernet and infiniband protocols, delivering advanced networking, Storage, and security services for cloud, compute, and ai workloads.
what you'll be doing:
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST planning through to final implementation and full automation.
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
collaboration & communication: work closely with software, DevOps, architecture, and product teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
defect analysis: analyze TEST results, file defects, and track issues to closure, ensuring robust and scalable solutions.
 
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution.

Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

In enterprise security, no product wins alone. Identity has become the critical framework linking cloud infrastructure, security applications, and automation. As organizations rapidly adopt AI agents and autonomous machine workflows, securing how these systems interact is the most critical challenge in modern technology.
As Senior Product Manager for Technology Alliances, you will define how the Idira platform connects with the broader enterprise technology ecosystem. Your primary mission is leading our AI and machine solution partnerships, driving horizontal strategy across the entire portfolio.
You will operate strategically across three ecosystem tracks: our internal engineering speedboat team, external partners building directly on our platform, and core product lines embedding integrations into their roadmaps. We are looking for a fast product builder who thrives in ambiguity, establishes cross-organizational alignment with ease, and makes excellent product calls.
Ecosystem Roadmap: Define product direction and author technical requirements for both internal engineering builds and external partner developers by translating signals from customers and the field into a prioritized integration backlog.
Market Research: Continuously evaluate the fast-moving AI, machine learning, and automated agent identity landscapes, identifying high-value technology trends and net-new integration opportunities.
Drive Technology Partnerships: Lead the product strategy for strategic technology alliances. Partner closely with the business development managers who own the business relationship.
Cross Functional Alignment: Partner with core product management leaders across the enterprise to synchronize roadmaps, delivery timelines, and launch plans, creating a unified strategy across all products.
Bring Integrations to Market: Collaborate closely with internal teams such as product marketing to ensure Sales, Customer Success, and Sales Engineers are fully equipped to position, demonstrate, and implement new integrations to drive customer adoption.
Measure Ecosystem Adoption: Own the framework for tracking how customers interact with our ecosystem. Monitor and analyze integration usage data, identify trends in customer adoption, and connect these product health insights directly to broader platform growth and retention goals.

Were looking for an experienced Query Infra Team Lead to build and lead this team - someone who comes from deep data infrastructure, analytical databases, search infrastructure, and large-scale querying, and who wants to shape one of the most important technical foundations of our platform.

What youll do
Create, build and lead our Data Infra team from the ground up.

Own the infrastructure of our investigation data layer for the Platform.

Turn our investigation infrastructure into a dedicated, well-defined platform capability.

Design and evolve the data models, schemas, indexing strategies, and query patterns that power our investigation databases.

Lead the architecture, operation, and scaling of the databases and search infrastructure that power investigation, analytics, and query use cases across the platform.

Partner closely with Product, Backend, DevOps, Security Research, and customer-facing engineering teams to define clear boundaries, contracts, and data-layer APIs.

Make the data layer reliable, observable, cost-efficient, and performant across many tenants and large volumes of security data.

Set engineering standards for schema design, data modeling, query optimization, migrations, backfills, and data-quality monitoring.

Mentor engineers, review technical designs, and raise the bar for how Zafran builds and operates data infrastructure.

Stay hands-on: this is a leadership role for someone who can still go deep into architecture, production issues, performance bottlenecks, and complex queries.