Watney Robotics Inc Logo

Watney Robotics Inc

Software Engineer - Perception

Posted 21 Days Ago
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Build and scale the perception data engine and infrastructure: petabyte-scale multimodal ingestion pipelines, automated annotation and feature extraction, continuous evaluation and deterministic regression testing, and telemetry/observability to monitor model performance and data drift for autonomous robots.
The summary above was generated by AI
Our Mission

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 Role

At 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 Do
  • Own 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.

You May Be a Good Fit If You:
  • 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!

Curious to learn more?

Follow us here on X and LinkedIn

HQ

Watney Robotics Inc San Francisco, California, USA Office

San Francisco, California, United States, 94110

Similar Jobs

7 Days Ago
In-Office
234K-351K Annually
Senior level
234K-351K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, train, fine-tune, evaluate, and deploy state-of-the-art vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware using ONNX and TensorRT. Collaborate with cross-functional teams to translate research into robust, production-ready perception capabilities for defense platforms.
Top Skills: C++OnnxPythonPyTorchTensorFlowTensorrt
7 Days Ago
In-Office
195K-293K Annually
Senior level
195K-293K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design, training, fine-tuning, evaluation, and deployment of vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, and evaluation frameworks. Optimize models for embedded hardware (ONNX, TensorRT), collaborate cross-functionally, translate research to production, and mentor engineers.
Top Skills: C++Hardware-Accelerated Inference FrameworksOnnxPythonPyTorchTensorFlowTensorrt
7 Days Ago
In-Office
163K-245K Annually
Senior level
163K-245K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, train, fine-tune, evaluate, and deploy vision, vision-language, and vision-language-action models for autonomous systems. Build scalable data pipelines, SFT workflows, evaluation frameworks, and optimize models for embedded hardware (ONNX, TensorRT). Collaborate with researchers and engineers to translate ML research into robust, production-ready perception capabilities for defense platforms.
Top Skills: C++Hardware-Accelerated Inference FrameworksOnnxPythonPyTorchTensorFlowTensorrt

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account