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Do you love crafting elegant solutions to highly complex challenges? Can you intrinsically see the importance of every detail? our Platform Architecture group is responsible for connecting our hardware and software into one unified system. Join this team, and youll collaborate with engineers across us to build and deploy software systems that contribute to the development of our world-renowned hardware and software architecture.

You and your team will deliver tools and frameworks used by OS developers and hardware architects. Together, our work will be the reason millions of customers enjoy their devices every single day.

We are seeking a software engineer to build high-performance software models of advanced SoC designs and to help bridge the gap between Software and Hardware, influencing performance improvements, power efficiency, security, and the programming ease of our products.

Responsibilities
In this role, you will:
Develop software systems and tools used to bring up the future OS on future SoCs.
Support kernel and driver development on future processor & SoC models.
Work closely with software and hardware teams across product and research groups.
Promote new opportunities and techniques with other groups.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include our companyrs, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Develop and optimize the overall layout of the chip, including partitioning, macro and IP placement, and pin placement.
Design and implement efficient power delivery networks power grids to ensure stable power to all parts of the chip.
Develop and validate high-performance, low-power clock networks (e.g., Clock Tree Synthesis (CTS)) to ensure proper synchronization across the entire chip.
Develop, enhance, and maintain custom scripts (e.g., Tcl, Perl, Python) for automation and improved efficiency.
Conduct extensive Design Rule Checks (DRC) to ensure the layout adheres to manufacturing rules, performing Layout Versus Schematic (LVS) checks to verify that the physical layout matches the logical design.

We are looking for an experienced full stack engineer to build internal systems and macOS native applications that leverage generative AI for productivity.


You will join a growing team of multidisciplinary ML and software engineers working on cutting-edge GenAI applications. In this position, you will collaborate with innovative teams across us, designing and developing both backend systems and native UI experiences that bring AI capabilities to users.

Are you a big-picture thinker who loves challenges? Do you have a passion for new technologies and creating code to the highest standards? Your work within this team will continue to uphold and advance the excellence people expect from us.

The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across our company, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.
Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
The program is open to students enrolled in a Bachelors, Masters, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of our company's research teams, including our company DeepMind, our company Research, our company Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across our company are working to advance the computing and build the next generation of intelligent systems for all our company products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
our company Research is building the next generation of intelligent systems for all our company products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. our company Research teams collaborate closely with other teams across our company, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.

Do you want to impact billions of users by developing an extraordinary product with a prime focus on accuracy, understandability and performance of the product?
Bring passion and dedication to your job and there's no telling what you could accomplish.
PHY system engineers are responsible for pre/post-silicon system design activities to achieve full operation and optimization of all PHY aspects of a highly integrated complex wireless communication device.

In this role, you will be part of the team responsible for the PHY system design integration of a WiFi/BT/UWB IC solution. This includes, among other things:
Digital correction methods of RF impairments like Digital pre-distortion, IQ MM correction, Power Control, AGC, Modem control.
Optimizing PHY performance for a given system constraints.
Participate in modem design and implementation, from the architecture stage and floating point implementation all the way to RTL/FPGA validation in fixed point - Debug complex multi-disciplinary issues spanning from RF, PHY, MAC, HW and SW.
Connect with X-functional teams (RFIC, Algo, SW/FW etc.).
Perform hands-on PHY/RF lab work.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define and implement solutions for complex design, integration and verification problems using in-house and external technical solutions or tools. Ensure chip quality by implementing best practices and implementing quality control measures.
Involve in project development and convergence with the highest quality, agreement with issues as they arise through design and implementation, or equivalent relevant experience.
Connect between RTL design, physical design, DFT, external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.

We are looking for an experienced Python software engineer to join our Control Path team, the backend engineering team responsible for critical software within our cloud Storage product. In this role, you will design and develop software solutions that ensure reliable control functionality and efficient execution within our distributed architecture. If you are a passionate Developer who enjoys solving challenges in system -level programming, distributed systems, object-oriented design, and cloud environments, this position is perfect for you!
Responsibilities:
Develop backend Software: Design and implement scalable and reliable software that focuses on the control capabilities of our architecture. Enhance Core Functionality: Contribute to improving the control path software, solving complex engineering challenges, and optimizing product performance. Collaborate Across Teams: Work closely with other teams such as the Cloud team and data Path team to ensure seamless integration and performance across the products components. Lifecycle Ownership: Take part in all phases of the software lifecycle, from design and development to debugging and resolving critical customer issues in production environments.
About us:
We give demanding workloads 10x faster performance on the cloud compared to native cloud alone. The Cloud Platform is a virtualization layer that sits between the underlying cloud infrastructure and customers workloads. Without refactoring, workloads such as Oracle, Microsoft SQL server, and industry-specific applications can move onto the cloud and massively improve User Experience. Industry leaders in e-commerce, software publishing, FinTech, and healthcare, trust us with their mission-critical workloads to get the ultra-fast speeds their customers demand. We are headquartered in Needham, MA.
Why join us?:
* Be part of the Control Path team, which plays a key role in developing software that drives the core logic and control capabilities of our cloud Storage product.
* Collaborate with exceptionally talented engineers and be part of a supportive environment that fosters teamwork, creativity, and innovation.
* Engage in solving exciting challenges in distributed systems, backend development, and large-scale infrastructures.
* Enjoy a dynamic workplace that values personal and professional growth, where your contributions make a real impact.

seeking a Lead Networking Architect to help define and shape the next generation of our AI-SuperNIC scale-out chip.

Scale-out communication is a critical element in building competitive systems for modern data centers. Were looking for an expert with deep networking experience to collaborate closely with our AI/ML, platform and driver software, and VLSI teams in designing an optimized scale-out networking architecture.

If youre passionate about low-latency communication and have a strong background in RoCEv2, HPC communication, and NVMe-oF, this is a unique opportunity to take on a challenging and influential role.

This is a senior, high-impact position at the forefront of technology innovation-driving the development of cutting-edge networking and AI acceleration solutions.

Responsibilities

Work closely with CTO and peer architects to define the product requirements and features of next generation ultra low-latency AI-SuperNIC scale-out chip
Lead adoption of new industry standards such as UEC, UALink while maintaining a competitive solution for RoCEv2
Establish architecture guidelines, requirements, and the division of labor between software, firmware and hardware.
Lead performance estimations, modeling, measurements, and optimizations, as well as system-level integration efforts.
Engage directly with end customers and partners to shape use cases and system solutions.

seeking a Director of Product Management with experience supporting the development of a large-scale SoCs or NICs (inbound & outbound. As a product leader, you will lead product definition and vision and launch products from start to finish. You will drive interactions with engineering teams, lead customer discussions, develop go-to-market strategies, identify new markets, and work with senior leaders on the vision and customer impact.

If youre passionate about shaping the future of AI chips and thrive in a collaborative, hands-on environment, this position is for you!

Responsibilities

Execute product development and delivery by working with cross-functional teams (R&D, sales, operations, and corporate development) to ensure successful product launch and business growth
Build close relationships with lead customers and manage product engagement and support
Assist with the Go-to-market strategy and launch plan with a clear market assessment, competitive analysis, and positioning of products
Develop compelling sales material that clearly promotes product value and differentiation, and work closely with sales and customers to secure new business opportunities and close design wins.
Maximize Business Impact through continuous market assessment. Refine product, when needed, based on new learnings and as an advocate for the customer

We are looking for a talented Senior Networking Engineer to be a significant part of developing and designing software for complex SoC developed. Take part in architecture and defining HW-SW interfaces. Design and implement networking stacks on embedded cores as part of a high throughput complex multi-threaded environment.

Overview:

We are looking for a hands-on senior engineer to own the end-to-end productionization of Real-Time video systems and AI pipelines.

This role is not research and not model invention.

You will take existing computer vision models and algorithmics and integrate them into production, turning them into high-performance, scalable, production-grade systems running across hundreds of concurrent video streams on GPU and edge hardware.

You will work at the intersection of:

Python microservices backend development
video streaming using GStreamer and NVIDIA DeepStream
Distributed and multithreaded development
Real-Time inference
AI pipeline/processing optimization
Deploy and accelerate CV and AI models using CUDA, TensorRT, PyTorch, OpenCV

This is a deeply engineering-focused role with real ownership.

We are looking for an experienced Python software engineer to join our Control Path team, the backend engineering team responsible for critical software within our cloud storage product.
In this role, you will design and develop software solutions that ensure reliable control functionality and efficient execution within our distributed architecture.
If you are a passionate developer who enjoys solving challenges in system-level programming, distributed systems, object-oriented design, and cloud environments, this position is perfect for you!
Responsibilities:
Develop Backend Software: Design and implement scalable and reliable software that focuses on the control capabilities of our architecture.
Enhance Core Functionality: Contribute to improving the control path software, solving complex engineering challenges, and optimizing product performance.
Collaborate Across Teams: Work closely with other teams such as the Cloud team and Data Path team to ensure seamless integration and performance across the products components.
Lifecycle Ownership: Take part in all phases of the software lifecycle, from design and development to debugging and resolving critical customer issues in production environments.