Shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is requiredβwe prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. Design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.aiβs AI teams, and work with customers to advance highway and urban autonomous driving capabilities.
Job listings
As a robotics software engineer you will be responsible for building the core perception, planning, and control systems running onboard each member of the largest drone swarm in the world. You will develop multi-robot autonomy algorithms as well as create simulations of UxS. You will also get to perform electronics prototyping including troubleshooting complex mixed hardware-software systems.
Shape the future of dental technology at Dandy by leading a high-performing team of R&D engineers, drive the execution of complex R&D workstreams, and foster a culture of innovation and continuous learning. This is an important leadership role responsible for turning ambitious ideas into tangible solutions that create immense business value.
This is a player-coach role, where you'll combine hands-on technical work with leadership responsibilities, guiding a talented group of engineers tackling complex, real-world robotics challenges. You will oversee the design and development of systems that connect and manage fleets of robots β from low-level, on-device software all the way up to large-scale, cloud-based distributed systems. Youβll work closely with Product and GTM teams to align engineering efforts with customer needs.
We are looking for strong software engineers to help in developing and deploying motion planning components for next generation self-driving systems. This requires strong ownership over critical components that cross domain boundaries and understand, experiment, improve, and field state-of-the-art motion planning systems in real-time, safety-critical applications.
Be part of a multidisciplinary team of research scientists and engineers using an AI-first approach to enable safe, scalable self-driving. Design and develop advanced SLAM systems to create, automate, and optimize large-scale 3D mapping pipelines for autonomous trucking environments. Implement robust, precise, and real-time state estimation algorithms. Integrate and validate localization and mapping solutions across onboard and offline systems.