The Role

While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. We're looking for our first dedicated Safety Engineer. Our team has deep software engineering expertise from launching fully driverless cars and trucks on the freeway and urban streets at Waymo, but we have no single owner for Safety. In this role, you will define and implement our safety strategy, develop robust risk assessment methodologies, and drive regulatory certification efforts. This role is central to ensuring our automated construction machinery meets industry-leading safety standards while maintaining high performance and usability. You'll work closely with the engineering team and your role involves defining the overall safety strategy, safety requirements, and working with the system engineering team to implement and qualify those requirements.

Ideal candidates are tenured safety professionals with engineering backgrounds (and ideally at least started out building). You should have a working knowledge of robotics and safety standards (ISO 13849, IEC 61508, ISO 10218, etc.), and have experience conducting safety analyses (e.g., FMEA and HARA). Our system will operate in close proximity to people, vehicles, and infrastructure. You will drive the safety design and framework.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY), please apply anyway! We'd love to consider you.

Join the team bringing advanced autonomy to the built world

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.

While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world gets built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.

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