Senior / Staff Infrastructure Engineer (On-premise)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior / Staff Infrastructure Engineer (On-premise) Dallas, TX Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai As Waabi continues to grow rapidly in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company's engineering and research efforts are running top notch. We're looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery. You will... - Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale. - Collaborate with hardware team on vehicle compute and network designs and implementation. - Work with software and hardware teams on OS and software delivery

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