Jobs at Dyna Robotics

The role involves applied research and engineering for deploying AI in robotics, focusing on infrastructure design, fleet management, and software stability.

The Marketing and Communications Lead will shape Dyna's narrative, manage PR, lead content strategy, and attract talent while enhancing brand visibility in the robotics and AI sectors.

Lead QA function across Dyna's robotics stack, managing a team, developing automated test frameworks, and ensuring hardware behavior validation.

The QA Tester validates software releases for Dyna's robotics platform through structured testing, bug reporting, and regression monitoring, ensuring quality of release before customer deployment.

The AI Data Strategist role focuses on defining data requirements to drive model improvement across robotic platforms, emphasizing data collection priorities, evaluation frameworks, and lifecycle observability.

Lead and build a blended engineering organization across hardware, software, AI systems, and deployment. Hire and retain teams, set operating cadence, remove bottlenecks, drive cross-functional initiatives from research to field validation, and align vision to execution for reliable customer deployments.

The Research Engineer/Scientist will develop AI models for robotic manipulation, design learning algorithms, analyze results, and collaborate with cross-functional teams to enhance performance.

The Deployment Success Manager will oversee customer deployments, manage operational execution on-site, and ensure stakeholder communication, tracking project timelines and addressing any operational challenges that arise during deployment.

The Chief of Staff will partner with the CEO to drive execution, strategic planning, and operational initiatives across the company, ensuring alignment and enhancing efficiency.

Develop and lead software for robotic systems, focusing on control, sensing, teleoperation, and integration with AI and hardware teams.

This role involves leading business operations, addressing operational bottlenecks, supporting customer deployments, and managing various analytical tasks in a high-growth startup.

Deploy and maintain on-site robotics systems: network bring-up, inference server provisioning, incident response, cross-stack debugging (Linux, containers, GPUs, hardware), customer coordination, runbook and automation creation, and reporting issues back to engineering.

The State Estimation Engineer will design and implement state estimation algorithms, develop sensor fusion pipelines, and push boundaries with classical and learning-based methods, owning the full stack from prototype to production.

Design and build data systems for robotic intelligent workflows, focusing on automation, signal extraction from multimodal data, and ML model evaluation.

Manage interview scheduling and logistics, maintain ATS accuracy, coordinate candidate travel and onboarding, follow up for timely feedback, and support HR ops to ensure a smooth hiring experience.

Annotate data on robot tasks to improve AI performance. Maintain data integrity, apply guidelines, and use pre-annotation tools for quality checks.

Accepting applications for a limited number of research-focused internships in robotics. Seeking candidates passionate about the intersection of geometry and robotics; values problem-solving, grit, technical rigor, and diversity. Open to applicants at all levels.

The Controls Research Engineer will design and implement control algorithms, build simulations, analyze sensor data, collaborate with teams, and document methods to improve robot performance.

Lead hardware builds, diagnostics, validation, and quality control for robotic systems. Assemble and troubleshoot electro-mechanical assemblies, develop test plans and fixtures, drive root cause analysis, maintain SOPs and metrics, support deployments, and mentor junior technicians.

The role involves designing and maintaining large-scale ML infrastructure, optimizing distributed training systems, and enhancing computing performance for model training.