Design and maintain robotics software for sensor integration (GNSS, camera, IMU, LiDAR), improve autonomy for row navigation, build on-edge perception and data processing, debug hardware-software issues, and support field deployments and operations documentation.
Budbreak Innovations builds autonomous ground robots for commercial vineyards, berry farms, and
orchards. Our platform captures high-resolution imagery, GNSS tracks, and LiDAR data across
thousands of acres per season, powering crop scouting today and full field automation tomorrow. We
are a Cornell spinout with active deployments across California and New York, and we are growing
fast.
As a one of the first engineers in the team, you will have a seat at the table on architecture decisions,
technology selection, and how we scale our robotics platform from a single robot to a commercial fleet.
This is not a feature-execution role. We are looking for someone who wants to own systems end to
end, push back when the design is wrong, and carry work from prototype to production in the field.
What you build will ship to real farms, affect real growers, and define the technical foundation of the
company.
What you will work on:
• Developing and maintaining software for GNSS, camera, IMU, and LiDAR sensor integration on our
edge computing platform
• Improving robot autonomy for vineyard row navigation including localization, row-end detection, and
obstacle response
• Developing on-edge data processing algorithms for real-time perception and field intelligence
• Diagnosing and resolving system-level issues including USB reliability, driver stability, and hardware
trigger timing in vibration environments
• Supporting field deployment and contributing to documentation that the operations team depends on
What we are looking for:
• Strong Python and C++ skills in a Linux environment
• Strong mathematical foundation in relevant areas such as linear algebra, probability, optimization, or
differential equations
• Familiarity with microcontrollers and embedded Linux platforms
• Familiarity with robotic perception and control algorithms and tools such as state estimation,
localization, navigation, or motion control
• Comfort debugging at the hardware-software boundary (GPIO, serial, USB, timing)
Similar Jobs
Artificial Intelligence • Cannabis • Robotics • Software • Automation
As a Robotics Software Engineer, you will develop software solutions for robotics in the cannabis industry, collaborate with engineers, and ensure effective communication to meet business needs.
Top Skills:
AWSCi/CdGitLinuxOauthPythonRestful Apis
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead provider clinical operations consulting engagements for health services clients: analyze operations, identify improvements, implement process and performance solutions, manage client relationships, mentor teams, ensure data integrity and compliance, and deliver strategic, technology-enabled transformation to drive operational excellence.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead Salesforce CPQ and Revenue Cloud engagements: analyze client needs, design and implement tailored Salesforce solutions, manage project architecture and budgets, train and mentor teams, validate deliverables, and drive technology innovation to meet strategic objectives.
Top Skills:
Revenue CloudSalesforce AdministrationSalesforce CpqSalesforce LightningService Cloud
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
