Jobs at Dyna Robotics

Manage employee onboarding, offboarding, lifecycle changes, HRIS records, compliance training, and employee support. Coordinate paperwork, equipment, account provisioning, system deprovisioning, and internal resources while maintaining accurate documentation and improving People Operations processes in an onsite startup environment.

Own network and systems infrastructure supporting robots, including enterprise wired and wireless networks, Linux and GPU inference servers, monitoring, incident diagnosis, reliability improvements, and automated provisioning. Troubleshoot issues across robots, networks, and servers using measurements, logs, and packet captures. Plan and validate site networks, coordinate vendors and facilities, document recovery procedures, and standardize deployments. The role requires hands-on onsite work and close collaboration with engineering and operations teams.

Coordinates high-volume interviews across multiple time zones, reviews inbound applications, supports candidate experience, manages onsite visits and reimbursements, and maintains accurate ATS records. Partners with recruiters and hiring managers to calibrate candidate evaluation. The role also offers growth into sourcing, ATS administration, and recruiting operations, with opportunities to improve hiring workflows and automate manual processes.

Manage full-cycle technical recruiting for a robotics and embodied AI startup. Responsibilities include sourcing passive candidates, partnering with engineering leaders, advising hiring managers, building talent pipelines, delivering an excellent candidate experience, and improving inclusive, efficient hiring processes. The role requires 4+ years of technical recruiting experience and strong communication, sourcing, relationship-building, organization, and adaptability skills.

Manage daily workplace and office operations, including supplies, maintenance, visitors, travel coordination, onboarding setup, procurement, budgets, inventory, receiving, office moves, events, and safety programs. Coordinate vendors, contractors, IT/network partners, and internal teams while improving processes and maintaining an organized, well-stocked workplace. This on-site role requires independent judgment, technical comfort with workstations and A/V, and flexibility for occasional after-hours or weekend needs.

Coordinate and guide a robotics research portfolio by tracking objectives, hypotheses, results, risks, dependencies, and decisions. Evaluate research progress, connect work across teams, support strategic prioritization with the Chief Research Officer, establish research plans and milestones, lead reviews, document decisions, and communicate evidence-based updates. The role also bridges robotics research with engineering and product development to advance promising findings toward deployment.

Provides high-autonomy executive and office support for company founders. Responsibilities include calendar and meeting management, customer and investor coordination, travel arrangements, event and offsite planning, vendor management, recruiting logistics, office operations, follow-up tracking, and special projects. The role requires excellent judgment, organization, discretion, communication, adaptability, and proactive problem-solving in a fast-paced robotics startup.

Owns employee relations, investigations, performance management, corrective actions, and terminations for a 200+ person, multi-site, shift-based workforce. Partners with managers and site leads, builds HR processes including performance reviews and career paths, analyzes attrition and engagement, and advises on organizational design and headcount planning. Requires strong California employment-law knowledge, sound judgment, discretion, and hands-on experience supporting hourly workers.

Own the reliability of a deployed humanoid robot fleet by diagnosing hardware, firmware, controls, and telemetry failures. Perform hands-on actuator and electronics repair, design test fixtures and mechanical modifications, build fleet health metrics and calibration tooling, analyze robot logs, improve observability, validate firmware and software changes, and document procedures. The role requires strong Python, motor-control and actuator knowledge, hardware troubleshooting, time-series analysis, and cross-functional collaboration.

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.

Build and maintain the software that moves embodied AI models from training to production, including data infrastructure, services, pipelines, APIs, deployment systems, and internal platforms. Work across team boundaries on the highest-priority technical problems and deliver software to production robots within days or weeks. The role requires exceptional software engineering, strong judgment, clear communication, resilience, and comfort with ambiguity. Robotics experience is welcome but not required.

Own continuous learning for deployed robot fleets: build pipelines to convert deployment data into fine-tuning and policy updates, mine multimodal fleet data for failures and drift, apply RL and reward modeling, create automated real-time monitoring and evaluation, and partner across teams to ship measurable improvements to production robots.

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

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

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.

Build facility-scale simulated worlds and pipelines for loco-manipulation: real-to-sim reconstruction, procedural scene generation, synthetic data for joint base+arm policies, photorealistic rendering to close sim-to-real gaps, and evaluation benchmarks. Collaborate with AI Research and Data Ops to prioritize simulated data and feed real-world failure modes into simulation.

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

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

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.