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The Support Development Team builds and maintains internal applications that help Support Engineers work more effectively - automating repetitive tasks, streamlining workflows, and translating operational challenges into scalable technical solutions. As a Software Engineer on this team, you will own tools end-to-end, working closely with Support teams to understand their needs and deliver impactful solutions. The team's primary language is Python, with Go used on selected projects, Kubernetes-based infrastructure, and occasional frontend work in NextJS.

Responsibilities:

* Develop and maintain Python-based tools that enhance the efficiency and workflow of Support Engineers
* Work directly with Support Engineers to understand their challenges and translate them into actionable technical solutions
* Identify and integrate improvements into the existing tool ecosystem, continuously seeking modernization opportunities
* Troubleshoot tool-related issues and ensure minimal downtime for internal users
* Write and maintain clear documentation to support scalability, onboarding, and knowledge sharing
* Explore emerging technologies and propose innovative approaches to improve team solutions
* Contribute to Go-based projects and work within Kubernetes-based infrastructure as part of ongoing modernization

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We're looking for a top-notch Backend Engineer to join Infinidat's Big Data / AI Ops group. In this role, you'll design and build the services that power our data platform — developing scalable microservices, optimizing data pipelines, and working closely with large-scale storage and operational datasets.

Responsibilities:

* Design, develop, and maintain backend services and microservices in Python
* Build and optimize database queries and schemas, primarily on PostgreSQL and ClickHouse
* Develop and operate data-intensive services supporting big data and AIOps workloads
* Collaborate with cross-functional teams on architecture, performance, and reliability
* Write clean, well-tested, maintainable code and participate in code reviews

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a Hardware Integration Engineer to join our expanding R&D team. In this role, you will collaborate with off-the-shelf component vendors to evaluate new technologies for integration into our products, qualify new hardware and firmware releases, and lead debugging efforts on complex technical issues. You will also provide hardware-focused support to internal teams, including Level 3 support, Manufacturing, R&D, QA, and IT.

Responsibilities:

* Demonstrate deep expertise in storage hardware products, including servers, drives, enclosures, and power components
* Evaluate and qualify new hardware components, actively participating in their integration into the product
* Collaborate with global vendors and cross-functional internal teams to enhance product quality and resolve complex technical issues
* Lead failure analysis investigations- both internally and with suppliers and drive corrective and preventive actions
* Manage and lead new and existing hardware projects, continuously exploring technologies and methodologies
* Maintain and update the hardware knowledge base using industry-standard tools (e.g., Jira, Google Sheets, etc.).

we are looking for a talented Application Security Specialist to join our team. In this role, you will take an active part in application penetration testing, threat modeling, Secure SDLC activities, and AppSec initiatives that help evaluate and improve security posture. The position includes hands-on security testing of web, mobile, API, thick client, AI/LLM integrations, and MCP-based application components, identifying and validating vulnerabilities, assessing real business impact, supporting customers with clear remediation guidance, and contributing to application security processes, tools, and best practices.
Responsibilities:
Perform hands-on application penetration testing across web, mobile, API, thick client, AI/LLM integrations, and MCP-enabled application components.
Perform threat modeling and secure design reviews to identify risks early in the development lifecycle.
Support development teams with practical remediation guidance and secure implementation recommendations.
Perform Secure Software Development Lifecycle and secure coding training for developers.
Evaluate and improve customers application security development lifecycle, including secure coding practices, vulnerability management, remediation workflows, and security gates.
Participate in client-facing discussions, including assessment scoping, finding walkthroughs, remediation alignment, and retest updates.

we are looking for a Senior AI Engineer.
About the Role
In this role, you will:
Build Modular AI Capabilities: Design and implement self-contained "AI Skills" that connect to the CYE Platforms core data layers.
Ship End-to-End Autonomous Agents: Build agents that don't just "think," but act. You will deploy agents that handle the heavy lifting of the security lifecycle.
Bridge the Gap to Non-Technical Users: Create the abstractions that allow our customer success teams and client stakeholders to trigger or chain these AI workflows.
Own the AI Infrastructure & Evaluation: Maintain and contribute to the environment where these agents are born, ensuring they are grounded in truth.

we are looking for a AI & API Security - Sales Lead.
We are building this into a fast-growth business line. You will lead Upstream's AI & API Security business globally - the number, the sales strategy, and the execution. This is a builder's role, and you will define and lead the sales motion, work closely with our regional sales leaders, marketing, product, and CSM teams, close the first flagship logos yourself, and then scale it through our global sales organization.
This role is full-time and is based in Herzliya, Israel.
Responsibilities:
Lead the AI & API Security business - carry a global revenue target, and own pipeline, forecast, and pricing for the line of business.
Build and lead the AI & API Security sales motion - define ICP, segmentation, packaging, and the sales playbook, in partnership with regional sales leaders, product, marketing, CSM, and cyber services.
Sell directly - personally lead strategic enterprise outreach end to end, from first meeting through technical validation, solution review, procurement, and close.
Enable the global sales teams - arm regional sellers in North America, EMEA and APAC with training, playbooks, and deal support so AI & API Security scales beyond your own quota. Support the sellers in every stage of the deal and push for closing the deals.
Act as the subject matter expert of the offering - run discovery, architecture discussions, demos, and POVs; represent Upstream at customer executive briefings, industry events, and analyst conversations.

The CPU Architect will take charge in defining a processor core that meets the requirement of high performance, high bandwidth, and scalable processing architecture. This architect will utilize his processor experience to deliver a world-class processor ASIC with many advanced features for Huawei products.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data.
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models.
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages.
Potentially (in the future), lead a team doing above activities.
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.

we are looking for a Algorithm Engineer (RTB)
As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions.
Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy.
Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.

we are looking for a Algorithm Team Lead
As a Team Leader on the Bidding Strategies Algo team in our TLV Office, youll play a vital role in shaping how Advertisers bid in real-time auctions at massive scale.
You will lead the optimization of our existing bidding strategies and the design of new ones, formulating bidding problems mathematically, applying control-theoretic methods, and analyzing the complex dynamics of a closed-loop.
By guiding team members and partnering closely with engineering, youll turn theoretical insights into robust production solutions. Your work will directly influence advertiser ROI efficiency across thousands of advertisers.

We are forming a new team to explore AI Compilation Boundaries
This team will operate under a unique manner, as described below -
The environment
- Startup-like intensity
Small team
High ownership
High visibility
Merit is the essence, not titles
- Fast pace
Todays state of the art is tomorrows baseline
We aim to go beyond
- Incubator mindset
Take on hard challenges, dismantle, and regroup as novelty
- Elite technical culture
Strong experts
Strong standards
Strong execution.
Ratio beats seniority, not the other way around
- No artificial boundaries
We challenge assumptions, and question constraints, and leave no quarter
- Direct exposure to the latest and greatest AI technology
Real hardware
Real toolchains
Real large-scale AI applications
All pass through and impacted by our work
- First-principles thinking
out-of-the-box is a compromise
Do not accept that a box had to exist in the first place.

we are looking for a Bidding Strategies Algo Team Leader
As a Team Leader on the Bidding Strategies Algo team in our TLV Office, youll play a vital role in shaping how Advertisers bid in real-time auctions at massive scale.
You will lead the optimization of our existing bidding strategies and the design of new ones, formulating bidding problems mathematically, applying control-theoretic methods, and analyzing the complex dynamics of a closed-loop.
By guiding team members and partnering closely with engineering, youll turn theoretical insights into robust production solutions. Your work will directly influence advertiser ROI efficiency across thousands of advertisers.

Join a team developing next-generation AI accelerators, working at the intersection of AI algorithms, software, and hardware.

*Part-Time or Full-Time Opportunity

Responsibilities:
The research focuses on designing next-generation rack and SuperPod architectures that combine elasticity through resource pooling with optimal performance enabled by holistic co-design across applications, parallel programming models, interconnect fabrics, and compute, memory, and switch chip architectures. On the communication side, the work architects scalable, high-bandwidth, and low-latency scale-up fabrics across multiple chips at rack and SuperPod scale. On the memory side, it explores richer protocol semantics beyond traditional load/store operations to reduce unnecessary data movement and rethinks memory hierarchies to expose large-scale capacity with near-local latency. On the compute side, it analyzes the requirements of General Compute and Generative AI workloads and their parallel programming models to fully leverage large-scale system resources.
Investigate and prototype new architectural features, including but not limited to:
o Tiered Memory: Explore advanced memory organizations, including hardware-managed caching, to enable software-transparent, fine-grained promotion and demotion of cache lines across the memory hierarchy.
o Prefetching/Speculation: Evaluate and design existing and next-generation hardware prefetching and speculation mechanisms to effectively hide local and remote memory latencies at rack and SuperPod scale.
o Near-Memory/Network Processing: Develop support for key primitives executed at the memory and network layers to minimize unnecessary data movement across sparse, dense, and pointer-based data structures.
o Workload-Centric Co-Design: Study optimal parallelization strategies at rack and SuperPod scale for both General Compute and Generative AI workloads, and design dedicated hardware support for widely used parallel programming primitives such as RPCs and collective communication.
Write reports and papers on the research results and present them.