Founding Software Engineer
- Salary
- $160K–$180K
- Moves you to
- United States
- Support
- Visa sponsorship
- Posted
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Founding Software Engineer – Robotics Integration Platform
Location: Santa Monica, CA — hybrid schedule
Compensation: $160,000–$180,000+ base salary, depending on experience
Equity: Meaningful founding-stage equity
Company Stage: Early-stage, well-funded stealth robotics startup
The Opportunity
Robots can perform increasingly complex tasks, but connecting robots from different manufacturers remains expensive, slow and highly customized.
This company is building a vendor-neutral software platform that allows robots, OEM fleet managers, sensors and facility systems to communicate and operate through one shared integration and orchestration layer.
As a Founding Software Engineer, you will own a critical technical foundation of the product: the software layer that connects different robotic systems to the broader platform. This is a hands-on role for someone who wants to build from zero, work directly with physical robots and shape the architecture of an early-stage company.
What You’ll Work On
The team uses AI coding tools as a core part of its engineering workflow. Candidates should be able to:
Location: Santa Monica, CA — hybrid schedule
Compensation: $160,000–$180,000+ base salary, depending on experience
Equity: Meaningful founding-stage equity
Company Stage: Early-stage, well-funded stealth robotics startup
The Opportunity
Robots can perform increasingly complex tasks, but connecting robots from different manufacturers remains expensive, slow and highly customized.
This company is building a vendor-neutral software platform that allows robots, OEM fleet managers, sensors and facility systems to communicate and operate through one shared integration and orchestration layer.
As a Founding Software Engineer, you will own a critical technical foundation of the product: the software layer that connects different robotic systems to the broader platform. This is a hands-on role for someone who wants to build from zero, work directly with physical robots and shape the architecture of an early-stage company.
What You’ll Work On
- Design and build the core robot integration layer.
- Create reusable interfaces across different robot manufacturers, APIs, SDKs and protocols.
- Develop OEM-specific adapters without allowing the platform to become a collection of one-off drivers.
- Normalize robot capabilities, commands, mission states, health data, failures and operator interventions.
- Integrate sensors, payloads and facility systems with physical robots.
- Support quadrupeds, mobile robots, AMRs, manipulators and other autonomous systems.
- Build simulation, testing and validation workflows before physical deployment.
- Debug problems across software, networking, sensors and hardware.
- Collaborate directly with founders, customers, OEMs and integration partners.
- Help define the technical architecture, engineering practices and future team.
- Approximately five or more years of professional robotics or autonomous-systems software experience.
- Professional experience using ROS or ROS2; strong ROS1 experience is transferable.
- Experience developing and deploying software on physical robotic systems.
- Hands-on experience integrating robot hardware, sensors, payloads, APIs or SDKs.
- Strong software engineering ability in languages such as C++, Python or similar.
- Experience designing reusable software abstractions rather than exclusively building customer-specific integrations.
- Ability to troubleshoot across software and hardware boundaries.
- Experience taking systems from development through testing and real-world deployment.
- Comfort working in an early-stage environment with changing priorities and limited structure.
- Strong ownership, technical judgment and ability to make practical tradeoffs.
The team uses AI coding tools as a core part of its engineering workflow. Candidates should be able to:
- Use AI tools to accelerate design, development, testing and debugging.
- Understand and critically review AI-generated code.
- Identify where AI is useful and where deeper engineering judgment is required.
- Validate generated code before deploying it to physical systems.
- Clearly explain their approach to testing, safety and reliability.
- Integrating robots from multiple manufacturers.
- Multi-robot or cross-fleet orchestration.
- Robot capability models and common control interfaces.
- OEM fleet managers and robot operations platforms.
- DDS and distributed robotic systems.
- NVIDIA Isaac Sim, Isaac ROS, Omniverse or Gazebo.
- AMRs, quadrupeds, drones, industrial robots or mobile manipulators.
- Mission assignment, status tracking, exception handling and audit logging.
- Early-stage startup, founding-engineer or zero-to-one product experience.
- Customer deployments in industrial or brownfield environments.
- New robot manufacturers can be added through adapters without changing the orchestration or user-facing layer.
- Different robots can receive consistent high-level commands through a shared platform interface.
- Robot capabilities, states, failures and interventions are represented consistently.
- Early customer integrations become reusable platform capabilities rather than one-off engineering projects.
- The system remains reliable when hardware fails, communications are interrupted or operators must intervene.
- Join as one of the earliest engineers and influence the product from the foundation upward.
- Work directly with real robots rather than only simulated or theoretical systems.
- Define the architecture of a platform addressing one of robotics’ largest interoperability problems.
- Collaborate with an experienced founding team with backgrounds from leading technology companies.
- Join a well-funded company with more than two years of runway.
- Receive meaningful equity and substantial ownership over the technical direction.
- Work in an environment where strong individual interests can shape future areas of ownership.
- Candidates must have valid authorization to work in the United States.
- Qualifying H-1B transfers may be considered when sufficient time remains on the existing status.
- The company cannot support new H-1B lottery applications.
- Any sponsorship requirements should be disclosed at the beginning of the process.
- Initial technical conversation with company leadership.
- Founder conversation focused on motivation, ownership and startup alignment.
- Technical design and implementation assessment.
- Interactive technical deep dive.
- Final onsite meeting.