Watney develops autonomous robots to enable the growth of critical infrastructure. Having recently raised $21 million in seed funding from Conviction, Abstract and A*, we’re partnering with the world’s largest hyperscalers to accelerate datacenter buildout and breakfix.
Join now for a ground-floor seat with outsized ownership and visibility as we scale from prototype to production fleets. Ship real systems, shape the rollout playbook, and leave fingerprints on a category-defining robotics company.
As one of the foundational members of our Engineering team, you will architect and develop petabyte-scale data pipelines for our fast-growing fleet of production robots. For a startup of our size, we collect data at a scale few companies have seen. We are builders. And, this is a career-defining opportunity to work on one of the hardest technical problems not only at our company, but in modern computing.
Working directly with our founding team, this role is based onsite at our San Francisco headquarters.
Architect (from scratch!), build and maintain highly-available, robust, petabyte-scale data pipelines
Provide technical leadership and advise leadership on technology strategy and decision-making
Collaborate with ML Engineers to develop blazingly fast online RL systems at scale
7+ years of software development experience
Strong technical foundation and breadth with experience architecting terabyte-scale data pipelines
In-depth, hands-on development experience building and optimizing petabyte-scale data pipelines
Proficiency programming in Golang, Java, Scala or Python. Rust is a big plus!
Strong sense of ownership, initiative, problem solving and analysis
Effective communicator and collaborator with the ability to work closely with ML Engineers
$200,000 - $275,000 annual salary. We offer competitive compensation, including equity and comprehensive benefits.
We’re committed to building a diverse, inclusive team. At Watney Robotics, we welcome people of all backgrounds and identities, and we make hiring decisions based on skills, experience, and potential. If you’re passionate about robotics but don’t meet every requirement, we still encourage you to apply!
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