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Technical Lead, Early Stage, X

X, the moonshot factory

This is a Full-time position in Mountain View, CA posted March 26, 2021.

X is Alphabet’s moonshot factory where uncomfortably ambitious, world-changing ideas are developed and taken out into the world.

X projects have the potential to transform the lives of billions of people and make the world a radically better place.

For X to be successful, we have to repeatedly turn breakthrough technology ideas into products that solve large problems in the world, and create meaningful businesses for Alphabet.About the Team:You will join the leadership team of a very early stage team exploring how a mix of new fabrics, robotics and AI/ML might help people with mobility challenges and improve quality of life for hundreds of millions of people.

The team is multi-disciplinary, bringing together expertise in machine learning, biomechanics, robotics and soft goods.

The project will be in a prototyping phase, rapidly iterating and implementing ideas to progressively de-risk the idea from a technical perspective.About the Role:In this role, you will oversee all technical planning, development, and hiring.

You will report to the Project Lead and help define the team’s product, strategy, budget, and culture.

The majority of the role will be management but you should excel at and enjoy contributing high-impact hardware designs, code and other engineering as needed.

You will regularly collaborate with Google researchers and AI experts to solve hard technical challenges, some of which have never been solved before.This is an opportunity to leverage Google’s talent, infrastructure, and reach to create a product that could help billions of people.Given the early stage of this project, there will be significant ambiguity but the opportunity to show considerable impact.

This is an extremely dynamic team and requires high cross-functional communication, organization, and planning.How you can make 10x impact:Lead the project technical roadmap / vision and ensure strong team progressHelp define the team’s vision, product, strategy, budget, and culture.Coordinate across team POCs for each workstream (interface, ML, mid-level control / data acquisition) ensuring subteams have context, direction, and clarityAttract, grow, and retain a diversity of world-class talent, providing technical direction and career growth opportunities.

Inspire and motivate the team to work together as a cohesive and productive unitImplement high-performance, early-stage engineering best practices.Effectively lead collaborations and create influence across senior X, Google Brain, DeepMind and external stakeholders to apply cutting-edge research and drive organizational alignmentWhat you should have:Having as many of these specific qualifications is a plus, but transferable skills/experiences from other adjacent domains may be equally valuable, we care more about who you are than what you’ve done.MS / PhD degree in a STEM field such as Engineering, Robotics CS, Physics, or NeuroscienceQualifications and/or experience in wearable robotics or assistive technologiesExpertise in biomechanics, mechatronics, control theory, embedded systems and ‘hands on’ electromechanical skillsExperience with leading and crafting machine learning systems and control algorithms algorithms such as: deep learning, human-in-the-loop, on-device learning, optimization, signal processing or time-series analysis.Experience with consumer product development, ideally for wearables, garments or soft-goodsDemonstrated mastery of early-stage engineering management, ideally as technical founder of at least one successful startup and leader of several high-performance engineering teamsExperience managing technical projects spanning across multiple teams of different disciplines, ideally including hardware, software and consumer products.Strong entrepreneurial traits, especially persistence and resourcefulnessEmpathy, customer focus and a strong passion for impactIt’d be great if you also had these:Be biased to action and will roll up your sleeves.

Thrive in ambiguity and able to manage your own workDrive impact, fall in love with problems, not solutions.

Fail often, embrace humility.Engineer on the edge of reasonableness, with insufficient resources; a rag-tag crew of scientists, generalists, operating with unrealistic expectations and a low probability of success.Be a source of joy, inspiration and creativity to the team.

Help us win the Great Nerfgun War of 2020.

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