Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD/MS in Computer Science or Robotics; or equivalent practical experience

Experience Requirements:

• Experience working with real-world robots, preferably Humanoid platforms

• Strong exposure to Machine Learning/AI systems

• Experience on solving practical Safety challenges, performing Risk Assessments

• Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised

• Understanding of ISO/RIA Safety Standards

Responsibilities:

• Performing Hazard and Risk Analysis for emerging Robotics Platforms

• Provide expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation

• Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety.

• Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs.

• Preparing Safety training materials

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Knowledge of machine learning and statistics

• Knowledge of algorithm design

• Proven experience of Tensorflow or similar ML frameworks (e.g. JAX) is highly desirable

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

Responsibilities:

• As a key contributor to Project Astra, Gemini and other AI experiences, you’ll be leading a team responsible for applying the most promising models and research to enable agent memory to GDM and Google agents.

• You’ll work by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll lead a team of Software and Research Engineers, in partnership with research scientists and deliver significant impact in the short term, and will have close mentorship from Product Unit leadership.

Education Requirements:

• BS degree in Computer Science, Engineering, related fields or equivalent practical technical experience

Experience Requirements:

• Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence

• Skilled at navigating, updating and defining complex processes

• Initiative to solve problems with solutions that are repeatable, scalable and sustainable.

• Proven strong stakeholder management skills

• Comfortable dealing with ambiguity and able to thrive in a dynamic environment.

Responsibilities:

• Creating and scaling processes for collecting data on future ML hardware requirements, including next-gen ML accelerators and cloud infrastructure.

• Partnering with portfolio managers and data analysts to allocate capacity across projects effectively and in line with company priorities.

• Providing best practices to researchers and engineers in areas such as resource availability, efficiency, scaling & performance.

• Producing regular targeted communications to leadership, research and engineering teams

• Assisting with new ML hardware/software pilot programs.

Education Requirements:

• MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry

Experience Requirements:

• Proven knowledge and experience of Python or C++

• Deep foundational knowledge of machine learning and statistics

• Proven experience of JAX or similar ML frameworks (e.g. TensorFlow, PyTorch ) is highly desirable

• Experience pretraining, fine-tuning large, and/or applying RL to models

• Experience applying and productionizing state-of-the-art large visual, language and multimodal research

Responsibilities:

• You’ll be improving the most promising models and research as it relates to high-impact real world problems, by rapid-prototyping initial concepts and designing and running experiments.

• You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference.

• You’ll be embedded within a small project team of Research Engineers, and will be expected to drive the foundational research direction with the potential for significant impact in the short and long term.

Education Requirements:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience

Experience Requirements:

• Innovate and assess new machine learning models and techniques for pilot projects, quickly demonstrating viability and potential impact.

• Transform successful prototypes into scalable solutions for wider integration within Google's products.

• Conduct research to identify and address impactful problems inspired by current and future real-world needs.

• Investigate and develop novel solutions by studying related work, conducting experiments, and constructing prototypes and demonstrations.

• Collaborate with product teams to drive the implementation of research insights, fostering innovation and the development of new products.

Responsibilities:

• Conducting core research in the areas of computer vision, language understanding, multimodal models, large scale AI models and other key computer vision tasks.

• Training and evaluating AI models for a variety of product use cases.

• Researching, Implementing, and adapting state of the art deep learning approaches for Google’s use cases

• Collaborating closely with other GDM and partner teams to make progress towards building the most advanced embedding models.

Education Requirements:

• PhD in Computer Science, or Machine Learning related field

Experience Requirements:

• Experience with people understanding/generation

• Experience working with VLMs

• Proven experience of ML frameworks such as TensorFlow/JAX

Responsibilities:

• You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity.

• You will gain an understanding of the path from research to production whilst working on real world problems, whilst working on real world problems, with the chance to see your work make a difference.

• Some of our current projects are focusing on multimodal human understanding and generation, including privacy preserving generation and misinformation prevention. Having relevant experience is highly beneficial.

• The responsibility includes model development (data, modeling and evaluation), research and prototyping.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• A portfolio of a minimum of 5 years events experience that demonstrates a breadth of events of varying scope, scale and audiences

Experience Requirements:

• A good understanding of the Product Impact Unit’s audience which is predominantly consumers, customers, developers, creators and advertisers.

• Experience creating events that build culture and employee engagement

• A natural problem solver.

• Curious and always open to new ideas and learning opportunities.

• Creative and innovative and excited by charting new paths.

Responsibilities:

• Gain a deep understanding of the mission and key objectives of Google DeepMind and the Product Impact Unit.

• Partner closely with the Unit Operations team in the Product Impact Unit to ensure alignment across Unit activities.

• Work autonomously as well as part of the global Events & Experiences team.

• Proactively design a strategic internal and external program of global events aligned with the Unit’s mission and goals.

• Respond quickly to briefs from Unit leads to create event experiences in support of specific objectives, often with a short lead time.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• 10+ years of product management experience

Experience Requirements:

• Deep passion for and understanding of Gen AI technologies and market trends

• Deep passion for and experience with developing elegant consumer user experiences

• Experience developing full-stack (UX plus AI/ML/back-end), deeply technical products

• Track record of leading large cross-functional teams to land ambitious strategies

• Extremely strong analytical and problem solving skills

Responsibilities:

• Partner closely with Engineering, UX Design, Data Science, UX Research, and Marketing

• Understand users deeply through data science, user feedback, and user research

• Work integrally with UX to design elegant, delightful journeys for web and across platforms

• Develop features and roadmaps based on user feedback, UX research, metrics, market trends, and market alternatives

• Collaborate with cross-functional teams to design, implement, and launch innovative features within Gemini, leveraging the latest advances in AI and large language models

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience

Experience Requirements:

• Experience in Machine Learning (ML), especially on ML for hardware, ML for compilers or ML for optimization

Responsibilities:

• Contribute and drive ML for Physical Design, Logical Synthesis, Verification and RTL generation.

• Architect, guide and vet designs, algorithms and solutions, writing development code to solve ambiguous problems.

• Identify unsolved impactful research problems in Chip Design, inspired by current and future real world needs.

• Define Scope, plan and organise projects towards common goals.

• Amplify impact by generalising solutions into reusable libraries for many use cases. Share knowledge through publications, open sourcing and education.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• At least 10 years experience in ASIC physical design flows and methodologies in advanced nodes

Experience Requirements:

• Experience from PD for high performance compute IPs (e.g., GPUs, DSPs, or machine learning accelerators).

• Successful track record of delivering tape-outs to production.

• Capability and strong willingness to work in PD in a research environment.

• Hands on experience and a solid understanding of ASIC physical design, physical design flows and methodologies including synthesis, place and route, STA, Formal Verification, CDC and Power Analysis using tools such as Design Compiler, FC, Innovus, PrimeTime, PrimeTime-PX, Calibre, ICV, Conformal, RedHawk, Spyglass and PowerArtist.

• Strong scripting skills in Python, TCL, BASH

Responsibilities:

• Work in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages and Systems

• Work in close collaboration with HW architects and design engineers rapidly iterating experimental designs, giving rapid yet reliable feedback on the performance, power and area of different design options.

• Drive architectural feasibility studies, explore RTL/design tradeoffs for physical design closure.

• Perform block level physical implementation steps including synthesis, floorplanning, place and route, power/clock distribution, congestion analysis, STA, timing closure, EM-IR, PV, CDC analysis, LEC etc.

• Provide actionable feedback to silicon design engineers and architects for design improvements.

Benefits:

• Variable performance-based compensation

• Work-Life balance through flexible working hours

• Remote work opportunities

• Workations

• Regular team-building events

Education Requirements:

• Bachelor's degree in business administration, marketing, or a related field is advantageous but not mandatory

Experience Requirements:

• Several years of experience in sales, ideally in the SaaS B2B environment

• Proven success in customer acquisition and contract closures

Other Requirements:

• Excellent communication skills in German and English

• Customer-centric approach and skill in building long-term relationships

• Experience in data analysis to identify leads and optimize sales activities

Responsibilities:

• Customer acquisition and relationship building

• Sales cycle and data maintenance

• Customer support and consulting

Benefits:

• Unlimited vacation policy

• Comprehensive healthcare plan

• Outings + retreats

• Flexible work hours

• Team lunches

Education Requirements:

• B.S./M.S. in a related field

Experience Requirements:

• Ideally 5+ years’ experience in the Information Technology arena with at least 2 years’ experience in managing a team

Other Requirements:

• Ability to attract and recruit top-notch software engineering talent

• Verifiable history of accountability, perseverance and strong organizational skills

• Self-directed, independent and has experience owning complete features/products

• Ability to complete projects in entirety from start to finish

• Proficiency in web application programming

• Advanced skills in PHP, CakePHP, MySQL 5.x, Apache2, HTML/CSS, JavaScript/AJAX, SVN / Git / Github, MVC, ORM

• PHP (preferably CakePHP, Laravel, CodeIgniter), JavaScript, CSS, HTML5, Bootstrapping, performance Tuning, DB query optimization, Linux

• Demonstrated knowledge of algorithms, network protocols and web services

• Experience developing real-world web applications

Responsibilities:

• Support and help to establish and define the company’s technical vision

• Support and help to lead all aspects of the company’s technological development

• Help to direct the company’s strategic technical direction, development and future growth

• Works in a consultative fashion with other department heads

• Provide leadership to department heads in a fashion that supports the company’s culture, mission and values

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• Master's degree in EE, CS, or CE or equivalent

Experience Requirements:

• 15+ years of experience in semiconductor technologies and participation in multiple tapeouts with 1st pass silicon success

• expertise in verification methodologies, including simulation, formal verification, and FPGA emulation

• Proficient in HDL (Verilog. VHDL) languages

• Proficient with scripting languages, preferably Python

• Experience working with the development of Real Number Models (RNM) for photonics & analog circuits

Responsibilities:

• Own the design verification details including the DV plan & execution for chip projects

• Drive state-of-the-are DV methodology & flow for optical interconnect products

• Work with architecture, hardware, software, systems, and program management teams to deliver state-of-the-art silicon products

• Organize and expertly drive planning, scheduling, and day-to-day execution to support the design design team

• Collaborate with leads and engineering teams in effectively estimating and prioritizing tasks to maintain high design quality on a realistic delivery schedule

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• A Ph.D. degree in Photonics, Electrical Engineering, Applied Physics, or similar discipline with at least 5 years of post-degree relevant experience, or equivalent experience

Experience Requirements:

• Minimum 12 years of experience in photonic devices, photonic integrated circuits, and semiconductor physics

• Strong understanding of laser physics and silicon photonics

• Experience working with cross-functional teams to collaboratively define and deliver to product specifications

Responsibilities:

• Work with a cross-functional team to design and deliver a successful high-volume laser product

• Deliver laser module architecture specifications and work closely with hardware and software teams to define functionality, interfaces, and documentation

• Engage in problem-solving to develop innovative high-performance laser solutions

• Actively collaborate across disciplines—with electronics, photonics, mechanical, and thermal engineering teams—to design systems, control algorithms, PICs, and PMICs that meet stability, performance, power, and production requirements

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• MS with 3+ years of industry experience, OR Ph.D. with 5+ years of industry experience with a focus on optical or wireline transceiver design

Experience Requirements:

• Experience designing Analog-Front-End blocks such as trans-impedance amplifiers (TIA) and Tx Driver

• Experience with Tx/Rx equalization techniques and circuits

• Experience with testing and validating high-speed analog/mixed-signal circuits

• Familiarity with SERDES architectures, and implementations

Responsibilities:

• Support micro-architecture development with chip architects by conducting feasibility studies

• Collaborate with members of our design engineering teams (system, digital, analog, photonics) to define electrical requirements

• Design analog/mixed-signal blocks with a focus on transceivers (TIA, TX Driver) and broadband circuits interfacing with silicon photonics elements

• Document design simulations and verifications towards formal design reviews

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• Master’s in Electrical/Computer Engineering with a minimum of 7 years of industry experience

Experience Requirements:

• Expertise with modeling advanced systems in SystemVerilog

• Expertise in Scripting - Python

• Strong knowledge of optical link design architectures

• Familiarity with ASIC design flows and FinFET technologies

Responsibilities:

• In depth analysis of PHY and optical link performance

• Close collaboration with various teams to develop tuning and calibration algorithms for photonics and analog logic

• Hands on post-silicon performance analysis and debug

• Creation of post-silicon test cases and planning

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• PhD in EECS, Physics, Photonics, or related discipline with 3 years experience

Experience Requirements:

• Experience in silicon photonics device design, layout, and testing, ideally in a product development environment

• Demonstrated track record of designing integrated silicon photonics components using Lumerical, Tidy3D, or equivalent

• Knowledge of photonic device physics and laser physics

• Proficiency in modeling and data analysis in Python

Responsibilities:

• Design and optimize silicon photonic devices for laser systems, including couplers, muxes, rings, switches, and other active and passive components.

• Layout device test structures as well as complex integrated photonic systems.

• Work with the laser test team to develop and execute test plans for device validation, analyzing results to assess performance and troubleshoot issues.

• Work closely with packaging and systems engineering teams to address integration challenges, ensuring high alignment between device and system requirements

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• Bachelor's degree in Electrical Engineering (or other related fields)

Experience Requirements:

• Minimum of 13 years of industry experience working as a Design For Test Engineer on ASIC designs

• Must have completed at least 2 tapeouts

• Minimum of 2 years of experience with standard DFT CAD tools and flows

• Strong hands-on experience in Python, TCL or other scripting environments

Responsibilities:

• Perform Design For Test (DFT) insertion on ASIC designs, including internal scan, boundary scan, and memory BIST

• Perform automatic and targeted test pattern generation

• Interface with Physical Design and Front End (RTL) Design

• Perform post-silicon DFT bring-up and test program debug

Benefits:

• Comprehensive Health Care Plan (Medical, Dental & Vision)

• Retirement Savings Matching Program

• Life Insurance (Basic, Voluntary & AD&D)

• Generous Time Off (Vacation, Sick & Public Holidays)

• Paid Family Leave

Education Requirements:

• MS with 8+ years of relevant experience, OR Ph.D. with 5+ years of experience

Experience Requirements:

• 3+ years of experience in the Semiconductor industry experience in Analog/Mixed-signal IC design

• Solid fundamentals of CMOS device characteristics, noise, mismatch, linearity, and design trade-offs

• Experience designing complex blocks such as data converters, control-loop circuits used in power-delivery, high-speed interface circuits

Responsibilities:

• Participate in the architecture development with our chip architects by leading feasibility studies

• Collaborate with other design engineering teams (system, packaging, digital, photonics) to translate system-level requirements into electrical design specifications

• Lead the analog design and top-level integration of integrated circuits development

• Design complex analog and mixed-signal circuits