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:

• 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:

• 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:

• 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:

• 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:

• 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.

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.

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:

• 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:

• 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.

Benefits:

• A high-impact role in an emerging industry leader

• Competitive compensation and equity

• Employer-sponsored medical

• Dental and vision insurance (dependent on location)

• Open Vacation policy: take time off when you need it

Education Requirements:

• Electrical Engineering Degree (or equivalent)

Experience Requirements:

• 4-8 years experience in hardware development, including strong experience with ARM and other modern MCUs

Other Requirements:

• A system thinker that can define and guide a platform design

• Hands-on experience with bring up and troubleshooting boards and systems

• Low-cost and/or low-power portable consumer electronics design experience integrating video

• MCU interfaces, Bluetooth, WiFi, and USB sub-systems in a space-constrained product

• In-depth understanding of safety EMI and EMC compliance and certification

• Design experience with batteries, power management, and, power conversion

• Ability to work cross‐functionally. Strong interpersonal and communication skills

• Results and deadline-driven

• Able to work independently with little direction and multi‐taskConsummate team player

• Takes great pride and ownership in designs

Responsibilities:

• Architect and design low-cost, low-power wireless sensors

• Make tradeoffs with members of the mechanical and Firmware/ Software Engineering teams

• Investigate, study, and introduce new components

• Schematic capture and layout design

• Develop high-volume products that are designed for manufacturability

Experience Requirements:

• 4+ years of experience with Python

• Understanding of overall web development process

• Experience in building scalable backend (load balancer, etc)

• Enjoy learning new things and wear multiple hats

Responsibilities:

• Build & improve ML pipelines

• Design & implement REST API server for Visual Filter

• Provide scalable & stable API server for business customers

• Build tools for analyzing ML performances and user activity

• Optimize performances

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Mapping, Perception / Computer Vision

Other Requirements:

• Deep knowledge of ML Mapping

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Work on the Offline and Online Mapping Research tracks

• Define the business metrics for Mapping assessment

• Continuously adjust the optimal Mapping feature format

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Experience Requirements:

• 5+ years of safety experience in the transportation industry

Other Requirements:

• Strong understanding of electronic log compliance (ELD)

• Experience managing compliance for both local and non-local workforce

• Proven leadership skills

Responsibilities:

• Manage Driver Compliance

• Maintain Accurate Records

• Safety Training Programs

• Audit Readiness

• Policy & Procedure Development

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Experience Requirements:

• 3+ years of production or research experience in ML Infra, distributed training, model inference or GPU programming

Other Requirements:

• Ability to understand deep learning algorithms

• Familiarity with Azure/AWS/GCP cloud products

• Proficiency with Kubernetes clusters

• Experience with DDP and model parallelization techniques

• Strong communication and teamwork skills

Responsibilities:

• Own and lead the exploration of the latest technology of distributed training and inference optimization

• Build scalable and robust distributed ML training and inference pipelines

• Develop model benchmarking processes and tools

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Uncertainty Estimation, Out-of-distribution, Statistics, Probability theory

Other Requirements:

• Deep knowledge of ML Uncertainty

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Define the Uncertainty at the different levels of Autonomous Driving

• Estimate Data-dependent Uncertainty and detect anomalous inputs

• Estimate ML model-based Uncertainty and detect anomalous outputs

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Foundation Modeling, Perception / Behavior, Computer Vision

Other Requirements:

• Deep knowledge of Autonomous Driving

• Experience with sensor and behavior simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel end-to-end algorithms for Autonomy Stack

• Conduct research on foundation models for driving

• Develop robust, interpretable, and explainable Autonomous Driving models

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Generative Modeling, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on marginal, conditional, and joint prediction

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Reinforcement Learning, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on Reinforcement Learning

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Bachelor's degree in Accounting or Finance; CPA preferred

Experience Requirements:

• 7+ years of progressive accounting experience, with at least 3 years in a management role

Other Requirements:

• Strong understanding of GAAP and internal control frameworks

• Extensive experience with NetSuite

• Experience in a high-growth environment

• Proven ability to lead, mentor, and develop a team

Responsibilities:

• Manage and oversee daily accounting operations

• Ensure accuracy of financial statements

• Implement monthly close processes

• Work with Controller to develop accounting policies and internal controls

• Lead, mentor, and develop the accounting team