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Required Senior Design Engineer, Networking, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Responsibilities
Define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, VHSIC Hardware Description Language (VHDL)), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power, and FPGA/silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

Required Senior DFT Lead
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As the Design for Test (DFT) Engineer Lead, you will play a crucial role in DFT Architecture and DFT design, and support devices to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality throughout the project life-cycle, and providing sign-off DFT to tapeout.
In this role, you will work to shape the future of an Edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next-generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
Responsibilities
Drive and execute DFT activities in the design, implementation, and verification solutions for application-specific integrated circuits (ASIC).
Develop DFT strategy and architecture, including hierarchical DFT, memory built-in self test (MBIST), and automatic test pattern generation (ATPG).
Collaborate with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Oversee DFT team planning, deliverables, and provide technical mentoring and guidance.
Lead DFT execution of a silicon project, planning, execution, tracking, quality, and signoff.

Required Hardware/Electrical Engineering BS/MS Intern, 2027
Please complete your application before November 13, 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
About the job
The Cloud and AI Infrastructure team in Israel focuses on building our next-generation systems. The team's work is grounded in creating custom hardware, and as an Intern, you'll get to collaborate with engineers from various parts of the organization to influence the future of Cloud and the AI infrastructure by working on the foundational technology that makes it all possible. This is the hardware that powers everything, from Cloud to our most advanced models like Gemini.
As an Electrical Engineering Intern in the domain of Very Large-Scale Integration (VLSI), you will work on designing, developing and verifying next generation chips for our Cloud Compute Infrastructure. You will have the opportunity to collaborate with engineers from various parts of the organisation to help develop our next generation systems on chip (SOC).
Responsibilities:
Responsibilities and detailed projects will be determined based on your educational background, interest and skills.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities:
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io The Role We are looking for an experienced, strategic, and data-driven Director of Sales Operations to lead, scale, and optimize our global sales infrastructure. In this role, you will manage two core pillars: our Salesforce & Sales Operations team, and our Sales Data Analytics team. You will be responsible for driving operational excellence, streamlining processes, and equipping our sales teams in Israel and New York with the tools, insights, and workflows they need to win. If you thrive at the intersection of strategy, technology, and people management, this is the place for you. Key Responsibilities: Team Leadership: Lead, mentor, and scale a high-performing global team consisting of Sales Operations specialists, Salesforce administrators, and Sales Data Analysts. Process Optimization: Own the end-to-end sales process lifecycle. Continuously analyze, refine, and streamline workflows for both local (Israel) and remote (New York) sales teams to drive productivity and eliminate friction. Tech Stack & Salesforce Ownership: Serve as the strategic owner of our CRM (Salesforce) and broader sales tech stack. Drive platform adoption, data integrity, and implement scalable tools to support complex B2B sales cycles. Data-Driven Strategy: Partner with the Sales Data Analytics team to deliver actionable insights, pipeline analysis, forecasting models, and performance dashboards for sales leadership and executives. Cross-Functional Collaboration: Act as the bridge between Sales, Marketing, Finance, Legal, Data and Product to align on targets, commission planning, lead-to-revenue funnels, and data consistency. Sales Enablement: Design and implement rules of engagement, territory mapping, and lead routing strategies to maximize the efficiency of our global sales reps.

Required Research Engineer, Generative Media
About the job
Research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
The Creative Camera team mission is to imagine and build the future of photography and videography. Our team is reinventing digital imagery: from pioneering new generative and diffusion models for creating the highest-quality images and videos possible, to creating entirely new ways of capturing and reliving our experiences.
The Platforms and Devices team encompasses our various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
Design, implement, train, and evaluate deep learning architectures-particularly diffusion models and transformers-for image and video synthesis.
Develop and apply algorithms in computer vision, graphics, and machine learning for our applications, focusing on computational photography, computational videography, and content creation.
Conduct both fundamental and applied research to identify and solve creative, novel problems that revolutionize editing, and creation of visual media.
Leverage deep theoretical and practical knowledge to prototype new technologies that unlock visual experiences for users.
Build upon our strong track record of publishing graphics venues (with previous publications including Dreambooth, GameNGen, ObjectMate, LightLab, and many more), and successfully transfer these innovations into our products that reach millions to billions of users.