Qureos Mentor

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4304</p></div>
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</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.</p>
<p>
In this hybrid role you will report to a Sr Staff Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li>Lead the multi-task fine-tuning of multi-billion parameter models, and its release to production</li>
<li>Lead the design and implementation of ML methods for distilling multiple expert models into one multi-task model</li>
<li>Managed releases of multi-billion parameter models replacing a deployed model used by thousands or millions of customers</li>
<li>Build resilient and high performing teams through people development and hiring,</li>
<li>Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution</li>
<li>Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience</li>
<li>5+ years experience in Machine Learning and/or Computer Vision</li>
<li>2+ year in managing ML engineering or research teams</li>
<li>Experience with Python</li>
<li>Experience with ML frameworks like PyTorch or JAX</li>
</ul>
<p><b>We Prefer:</b></p>
<ul>
<li>MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline</li>
<li>Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI</li>
<li>Experience with C++</li>
<li>Experience with real-time system design</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff TLM, Perception, Fine-Tuning & Model Releases

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4304</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.</p>
<p>
In this hybrid role you will report to a Sr Staff Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li>Owned model updates and model deployment in an automated data selection/model update pipeline, for an ML system serving millions of rides</li>
<li>Lead the design and implementation of data selection and incremental model updates, for a multi-billion parameter model</li>
<li>Developed and deployed methods for in-field monitoring of deployed ML models, and detect improvements or regressions after a model update, for an ML system serving millions of rides</li>
<li>Build resilient and high performing teams through people development and hiring,</li>
<li>Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution</li>
<li>Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience</li>
<li>5+ years experience in Machine Learning and/or Computer Vision</li>
<li>2+ year in managing ML engineering or research teams</li>
<li>Experience with Python</li>
<li>Experience with ML frameworks like PyTorch or JAX</li>
</ul>
<p><b>We Prefer:</b></p>
<ul>
<li>MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline</li>
<li>Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI</li>
<li>Experience with C++</li>
<li>Experience with real-time system design</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff TLM, Perception, Continuous Learning & Monitoring

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4304</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that &ldquo;perceives&rdquo; the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop models for panoptic segmentation and occupancy in 3D and over time.</p>
<p>
In this hybrid role you will report to a Sr Staff Technical Lead Manager.</p>
<p><b>
You will:</b></p>
<ul>
<li>Own the panoptic segmentation task (instance segmentation and semantic segmentation), take responsibility for task scaling and task performance, take ownership of aligning instance segmentation and object detection/tracking (in particular in an end-to-end architecture), create ML methods and recipes to scale and improve tasks</li>
<li>Collaborate with ML engineering/research teams to develop efficient model architectures for representing occupancy and panoptic segmentation, and train and deploy such models with a focus on using large pre-trained models</li>
<li>Collaborate with partner teams to establish efficient human and machine labeling workflows</li>
<li>Analyze panoptic segmentation issues in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.</li>
<li>Develop and maintain metrics for 4D (3D + time) instance segmentation and semantic segmentation</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience</li>
<li>7+ years experience in Machine Learning and/or Computer Vision</li>
<li>Experience with Python</li>
<li>Experience with ML frameworks like PyTorch or JAX</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline</li>
<li>Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI</li>
<li>Experience with C++</li>
</ul><div><div><div>The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
</div><div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff Tech Lead, Machine Learning Engineer, Perception

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4419</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
We are building a team of engineers dedicated to further developing our in-car experience.<br>
<br>
Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space.</p>
<p>
In this hybrid role, you will report to an Engineering Manager.</p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Create reliable Android components and flows using modern technologies like Jetpack Compose.</li>
<li>Build features within the in-car interface that inspire trust and clearly communicate the vehicle's intentions.</li>
<li>Work closely with UX/UI designers, Product Managers, and Vehicle Software Engineers to launch innovative in-car experiences.</li>
<li>Design and maintain software controlling in-car systems such as displays, audio, and climate controls.</li>
<li>Manage the full software development lifecycle, focusing on quality and robustness for safety-sensitive systems.</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>BS degree in Computer Science or equivalent practical experience.</li>
<li>7+ years of professional software development experience.</li>
<li>3+ years of experience in Android application development, including testing, maintaining, and launching features.</li>
<li>Proven ability to design and implement significant features or components independently.</li>
<li>Proficiency in Kotlin or Java, and a strong understanding of Android internals.</li>
<li>Experience leading technical designs and mentoring other engineers.</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>Experience with Android platform (AOSP) development, custom Android builds, or embedded systems.</li>
<li>A passion for pixel-perfect UI and creating fluid user experiences.</li>
<li>Knowledge of in-car infotainment systems or automotive software development.</li>
<li>Experience with performance analysis and optimization for resource-constrained devices.</li>
<li>Full-stack experience, including designing and integrating with server-side APIs to support client features.</li></ul><p></p><div><div><br>
<div>
<p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$238,000&mdash;$302,000 USD</div></div></div></div></div></div></div>

Staff Android Engineer, In-Car Experience

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>SOFTWARE ENGINEERING</p>
<p>4418</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
We are building a team of engineers dedicated to further developing our in-car experience.<br>
<br>
Projects include the Pick Ups and Drop Offs (PUDO) experience, and Infotainment during passenger trips (music, games, maps). Our team works on the user interfaces used by customers to hail and control our autonomous vehicles. We build complex user experiences, phone-to-vehicle communications, and solve novel human-computer interaction problems in the AV space.</p>
<p>
In this hybrid role, you will report to an Engineering Manager.</p><br>
<p></p>
<p><b>
You will:</b></p>
<ul>
<li>Create reliable Android components and flows using modern technologies like Jetpack Compose.</li>
<li>Build features within the in-car interface that inspire trust and clearly communicate the vehicle's intentions.</li>
<li>Work closely with UX/UI designers, Product Managers, and Vehicle Software Engineers to launch innovative in-car experiences.</li>
<li>Design and maintain software controlling in-car systems such as displays, audio, and climate controls.</li>
<li>Manage the full software development lifecycle, focusing on quality and robustness for safety-sensitive systems.</li></ul><br>
<p></p>
<p><b>
You have:</b></p>
<ul>
<li>BS degree in Computer Science or equivalent practical experience.</li>
<li>5+ years of professional software development experience.</li>
<li>3+ years of experience in Android application development, including testing, maintaining, and launching features.</li>
<li>Proven ability to design and implement significant features or components independently.</li>
<li>Proficiency in Kotlin or Java, and a strong understanding of Android internals.</li>
<li>Experience leading technical designs and mentoring other engineers.</li></ul><br>
<p></p>
<p><b>
We prefer:</b></p>
<ul>
<li>Experience with Android platform (AOSP) development, custom Android builds, or embedded systems.</li>
<li>A passion for pixel-perfect UI and creating fluid user experiences.</li>
<li>Knowledge of in-car infotainment systems or automotive software development.</li>
<li>Experience with performance analysis and optimization for resource-constrained devices.</li>
<li>Full-stack experience, including designing and integrating with server-side APIs to support client features.</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div></div></div></div>

Senior Android Engineer, In-Car Experience