Jobs at Laelaps AI

Own reliability and test infrastructure for autonomous security robots, including release pipelines, GPU-backed simulation, regression suites, hardware-in-the-loop testing, failure injection, reproducibility tooling, and measurable acceptance gates. Convert field incidents into permanent tests and ensure only validated builds reach customer robots. Partner with autonomy engineers across perception, localization, planning, and locomotion while managing cloud infrastructure and test systems.

Develop multi-agent reinforcement learning and orchestration algorithms for cooperative autonomous robot surveillance. Work includes decentralized decision-making, task allocation, simulation, optimization, benchmarking, and deployment on real quadruped robots. The role involves researching, implementing, evaluating, and comparing learning-based and classical planning approaches for scalable, robust multi-robot coordination.

Build and scale simulation infrastructure for robotic digital twins. Develop pipelines that convert lidar maps into simulation-ready environments, create reinforcement learning training environments, generate rare-event scenarios, model RGB, thermal, and lidar sensors, and measure and reduce sim-to-real gaps. The role also involves GPU-parallel simulation and collaboration with robotics, orchestration, reliability, and test infrastructure engineers.

Train and evaluate reinforcement learning policies for locomotion and low-level actuator control in simulation and on physical legged robots. Apply sim-to-real techniques, domain randomization, reward design, and robustness methods across varied terrain, weather, and sensor conditions. Build reproducible experiment and evaluation workflows, transfer policies between robot embodiments, and use strong software engineering practices including version control and experiment tracking.

Develop and deploy dependable navigation and path-planning systems for ground mobile robots operating at real customer sites. Responsibilities include sensor integration, terrain and traversability estimation, obstacle avoidance, behavior prediction, planning under localization uncertainty, field debugging, simulation, and validation on physical robots across varied weather and environments. Collaborate with autonomy, application, backend, and field engineers to improve reliability and deliver new capabilities.

Own full-cycle enterprise B2B and public-sector sales as the first dedicated sales hire. Source pipeline, run discovery and demos, scope pilots, negotiate, close six-figure deals, maintain CRM hygiene, forecast accurately, and build the sales playbook. Partner with the CEO on strategy, pricing, positioning, and early deals, then coach and lead the future sales team. The role focuses on selling technical security and robotics solutions to enterprise, industrial, government, and defense customers.

Owns customer deployments of an on-premise robotics and AI security platform, including site surveys, infrastructure planning, installation, integrations, commissioning, system tuning, validation, and operator handover. The role combines software engineering, edge infrastructure, networking, hardware, computer vision, robotics, customer engagement, troubleshooting, training, and deployment automation. Approximately half the time is spent at customer sites across Switzerland and Europe, with the remainder focused on improving tooling and feeding field insights into product development.

Lead and build Laelaps AI’s hardware function from the ground up. Define hardware strategy across ground, aerial, and stationary platforms; design and integrate mechanical, electrical, sensing, power, compute, and actuation systems; manage ruggedization, manufacturing, supply chain, reliability, and field testing; and hire the future hardware team. The role requires shipping robotic systems into real-world environments and taking products from prototype through DVT, PVT, and production.