לוח משרות דרושים

What you'll be doing:

Responsible for the full SCM environment including application, OS, and server hardware components, developing the continued automation and innovation needed for our large environment.

Create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide.

Be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support.

Lead or contribute to GitLab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes.

Learn and greatly improve the daily productivity of the worlds top chip designers and software engineers.

We are seeking a highly skilled and experienced individual to lead our efforts in mitigating financial loss from payment fraud across. This individual will manage a team of Product Managers in Israel and the US and collaborate with global leads from Financial Risk Management, Customer Integrity & Support and product teams, to ensure we are safeguarding its financial integrity by addressing leakage from bad actors, lost good revenue, and friction caused by efforts to manage the fraud which includes compromise and abusive payments.
Leveraging Machine Learning for Risk Management: Building financial trust and mitigating loss are crucial for driving growth within our financial ecosystem. We're extensively leveraging Machine Learning (ML) to drive revenue growth by minimizing financial losses, including leakage (lost revenue due to fraud), good revenue loss (lost revenue due to reduced spending by benign users impacted by bad actors), friction (negative experiences for benign users due to false positives), and fines, while reducing compliance risks and establishing us as a trusted payment ecosystem.
Director of Product Management, Payments Fraud Management Responsibilities
Strategic Leadership: Lead the Payments Fraud Management team, collaborating cross-Meta to develop and execute strategies that mitigate financial loss from payment fraud. Partner with Cross Functional partners in development of the North Star of lost revenue from payment fraud, and the strategy to get there.
Drive complex strategic initiatives that impact 100+ members across multiple teams, fostering a collaborative environment to drive efficiency, alignment, and execution across the organization.
Roadmap Development: Guide teams in developing team-level roadmaps that align with the overall long-term strategy.
Cohesively present to VPs across Integrity and Monetization on behalf of the organization (in partnership with Integrity organization)
Machine Learning Architecture: Develop and implement machine learning (ML) solutions to drive revenue growth by minimizing financial losses
Collaboration and Alignment: Work closely with Integrity, Support and Monetization leadership to ensure alignment on objectives, reporting frameworks for financial loss from payments fraud, and providing regular updates on progress and challenges
Strategic thinker with a track record of developing and implementing successful short-term and long-term fraud mitigation strategies
Experience managing a team of Product Managers.

Were currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like us? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams.

We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

This role combines strong Data Science expertise with the ability to independently lead impactful, production-grade work in complex environment.
The role focuses on developing AI capabilities on top of complex data in a security product environment. It requires independent thinking, analytical rigor, curiosity, flexibility, and strong technical ability. It also requires leading work end-to-end, breaking down complex problems, conducting structured research, and collaborating effectively across teams.
Key Responsibilities
Lead Data Science initiatives from problem definition through validation, production deployment, and monitoring
Develop AI-driven capabilities, including, domain-adapted models, prediction, anomaly detection, classification and AI agents
Adapt and fine-tune LLM-based solutions
Break down complex problems into clear components and drive structured research and iterative development
Choose the right approach for each problem, starting from simple baselines and progressing to more advanced methods when needed
Design solutions with awareness of production constraints and system limitations
Help shape solution architecture
Work closely with product, engineering, and other stakeholders across the company
Present findings, ideas, and results clearly at different levels, from technical peers to managers
Support team knowledge sharing, brainstorming, and guidance of other team members

We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer at NVIDIA, you will have to work closely with NVIDIAs development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of NVIDIA products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing NVIDIA products

Build automated verification environment for high-end hardware and software which is at the forefront of innovation

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

we are scaling digital B2B capital and fintech products innovating in the intersection of fintech and payments globally and we are looking for a Product Manager. In this role, Youll take ownership of the product plumbing, from crisp specs and QA to analytics and partner coordination, so our VP of product can focus on roadmap, strategy, and high-leverage strategic work. This roe is a great opening position for individuals who are seeking to build a career in product management in the Fintech space..
Your key responsibilities will include:
Turn concepts into shippable tickets: Draft PRDs, user stories, and acceptance criteria, maintain a clean backlog, run grooming and sprint rituals with R&D.
Instrument & analyze: Define event tracking, build lightweight dashboards (e.g., funnel, approval, activation, repayment), monitor experiments, and surface insights.
Vendor & integration support: Coordinate with underwriting/KYC, payments/acquiring, and data vendors, track timelines, test webhooks/APIs, and resolve issues.
UAT & QA owner: Create test plans for new flows (applications, KYC, pricing, contracts/e-signature, settlements, dunning/collections, pause/skip-payment rules).
Compliance-ready ops: Keep product docs current (T&Cs, disclosures, rate tables), collect evidence for audits (SOC/ISO/PCI where relevant), and log incidents.
Customer & GTM enablement: Draft release notes, internal guides, and simple ROI calculators; support Sales/CS on edge cases; triage feedback into clear tickets.
Day-to-day product ops: Unblock engineering, chase decisions, remove ambiguity, and keep everyone aligned on the next shippable slice.