Expand human ambition in the physical world.
Critical infrastructure is constrained by labor shortages, hazardous working conditions, and operational complexity. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers.
About the RoleAt Watney, the perception loop is the critical foundation that allows our robots to operate reliably in unstructured environments. This is an opportunity to build the high-throughput data engines, distributed streaming architectures, and deterministic evaluation platforms that power our entire perception lifecycle from raw physical telemetry to deployed edge models.
We are looking for someone who wants to design and scale the platform layer that orchestrates our core perception workflows, including automated data mining, multimodal ingestion pipelines, and parallelized regression backbones. The ideal candidate is an experienced backend or data infrastructure engineer eager to build the foundational data engine for autonomous fleets.
What You’ll DoOwn the Perception Data Engine: Architect and optimize scalable off-robot data pipelines capable of ingesting, parsing, and managing petabyte-scale video and sensor streams for auto-annotation and localization tasks.
Build Continuous Evaluation Infrastructure: Design and implement deterministic simulation, regression testing, and evaluation loops to rigorously benchmark perception performance before edge deployment.
Scale Annotation & Feature Extraction: Develop high-throughput pipelines that orchestrate multimodal data fusion, automated labeling, and feature extraction to constantly mine high-signal training examples from the field.
Drive Quality Metrics & Monitoring: Establish end-to-end telemetry systems and observability frameworks to track model regression, data drift, and perception accuracy across live operational environments.
Have experience building high-throughput data platforms, large-scale distributed streaming systems, or infrastructure for autonomous robotics.
Have a proven track record designing scalable data pipelines and storage solutions tailored for heavy multimodal media formats (high-frame-rate video, unstructured telemetry).
Bring deep experience building closed-loop testing infrastructure, regression frameworks, or automated metric tracking engines for highly complex, non-deterministic software systems.
Exhibit a high technical competency in geometric computer vision fundamentals, 3D spatial data handling, or metadata orchestration for machine learning workflows.
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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Skills Required
- Experience building high-throughput data platforms and large-scale distributed streaming systems
- Designing scalable data pipelines and storage solutions for heavy multimodal media (high-frame-rate video, telemetry)
- Experience with infrastructure for autonomous robotics or similar edge-deployed systems
- Building closed-loop testing infrastructure, deterministic regression frameworks, and evaluation loops
- Developing high-throughput annotation, multimodal fusion, and feature extraction pipelines
- Strong competency in geometric computer vision, 3D spatial data handling, or metadata orchestration for ML workflows
What We Do
Join us on our mission to deploy an abundant, intelligent workforce. 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. You'll work alongside - The former GSM for the iPhone - The former founding engineer at Worldcoin - The engineer who built the world’s fastest EV racecar at ETH Zurich - … and many more 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.








