- Lead the technical side of field discovery across a range of job-site types
- Assess ‘automation-readiness’ of various machine types, workflows and ancillary equipment and how they would work together as a system
- Evaluate the technology landscape (e.g. retrofit kits, OEM-native systems, teleoperation and supervised autonomy approaches)
- Test the riskiest assumptions on real machines early, starting with the machine control interface
- Recommend the first application, with feasibility, cost-to-build and kit-cost estimates the GM and partner can invest against
- Define the reference architecture for a retrofit, brand-agnostic stack: machine interface, sensing and compute, autonomy software, remote supervision, and data and test infrastructure
- Make the early build-vs-buy-vs-license calls, including whether to build on existing autonomy software, and choose the suppliers behind them
- Set the kit targets that make retrofit a business: hardware cost, install time and serviceability across machine makes and vintages
- Own the safety case from Day 1, so safety shapes the design rather than auditing it, and set the path to relevant standards (e.g. ISO 17757, ISO 19014, ISO 13849, ISO 21815)
- Hire and lead the core engineering team across integration and hardware, autonomy software, safety and field operations
- Decide what to hire and what to contract
- Set the engineering culture, standards and ways of working for a co-located team that tests on real machines every week
- Own the technical roadmap, budget and delivery across parallel workstreams: vehicle integration and hardware, autonomy software, safety and validation, and field operations
- Take the system from drive-by-wire to a repeatable prototype on a controlled site, then to supervised pilots on live customer sites
- Prove the brand-agnostic approach by bringing the same stack to a second manufacturer’s machine
- Set the stage gates and metrics that show technical readiness
- Be the technical counterpart to our partner’s engineering teams on machine interfaces, data, test machines and safety reviews
- 8+ years building robotics or autonomous systems, including 3+ years leading engineering teams; off-road, field or industrial use-cases are a big plus (e.g. construction, mining, defense or similar)
- Experience leading a team that took autonomy from prototype to field deployment on real machines, outside a lab or simulator
- Deep expertise in at least one core area (perception, localization, motion planning or controls) and working fluency across the full stack, hardware included
- Hands-on vehicle and machine integration (e.g. drive-by-wire, CAN/J1939, electro-hydraulic controls, ruggedized sensing and compute)
- A track record of hiring strong engineers, ideally including people you’ve shipped with who might join you
- Sound build-vs-buy judgment, and experience managing suppliers, contractors and a technical budget
- Working knowledge of functional safety for autonomous machines and how safety cases are built
- Clear communication of trade-offs and risk to executives and partner engineering teams, including when something isn’t ready
- Background in machine learning approaches to manipulation or task learning for articulated machines
- Integrating autonomy across multiple machine brands or vintages
- Teleoperation or remote-supervision systems
- Multi-machine coordination or fleet orchestration
- Working with, or inside, an equipment OEM or large industrial partner
- Founding or early-stage start-up experience
- Location: Los Angeles or San Francisco Bay Area
- Work Environment: On-site with a co-located engineering team
- Travel: 25-50%; job sites, partner facilities and test grounds
Skills Required
- 8+ years building robotics or autonomous systems
- 3+ years leading engineering teams
- Experience leading autonomy from prototype to field deployment on real machines outside a lab or simulator
- Deep expertise in at least one core area: perception, localization, motion planning, or controls
- Working fluency across the full autonomy stack, including hardware
- Hands-on vehicle and machine integration, including drive-by-wire, CAN/J1939, electro-hydraulic controls, ruggedized sensing, or ruggedized compute
- Track record of hiring strong engineers
- Build-versus-buy judgment and experience managing suppliers, contractors, and technical budgets
- Working knowledge of functional safety for autonomous machines and safety-case development
- Ability to communicate technical trade-offs and risks to executives and partner engineering teams
- Experience with off-road, field, or industrial use cases such as construction, mining, or defense
- Machine-learning experience involving manipulation or task learning for articulated machines
- Experience integrating autonomy across multiple machine brands or vintages
- Experience with teleoperation or remote-supervision systems
- Experience with multi-machine coordination or fleet orchestration
- Experience working with or inside an equipment OEM or large industrial partner
- Founding or early-stage startup experience
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