Tekton Dynamics - Founding Engineer

• As Tekton Dynamic’s Founding Engineer, you’ll operate as a core member of our multi-disciplinary product engineering team. You'll be researching, planning, and developing systems and software across our entire engineering stack. • Founding • Engineer • This is not a typical “Software Engineer” role. You’ll design, build, and maintain core systems that fuse software, hardware and networks. You’ll be both in the weeds with deeply technical subject matter across software, robotics, and AI — and hands-on installing vision sensors, industrial robots, and welding equipment in our R&D lab and our customers’ production facilities. • This is not a typical “Software Engineer” role • We value “T-shaped” engineers who: • Dive into subject matter they are unfamiliar with • Index on solving the right problems over finding the perfect solution • Debate with data and logic, and then commit fully to executing team decisions • Appreciate that delivering customer value requires communicating and building trust with our customers • Must-haves: • 3+ years shipping software in highly technical startup environments • “T-shaped” systems and software generalist • Designed, built and deployed software as part of an engineering team • Comfortable and confident in debugging messy reality: edge networks, hardware calibration, sim-to-real gap • Proven team player, clear communicator; you think from first principles, you identify assumptions and test them methodically, you question the ‘why’ behind every decision • Nice-to-haves: • Familiarity with training and evaluating machine learning pipelines • Experience in harsh industrial settings (welding/fabrication/heavy industry) • Experience as a Forward Deployed Engineer (FDE) • Robotics and/or computer vision experience • Edge compute deployments, latency optimization and reliability monitoring • Example areas you’d be involved in • Industrial workflows • Process 3D CAD models into efficient data structures • Create declarative representations of complex industrial processes • Perception • Install, calibrate, and optimize vision sensor capture and fusion pipelines • Train and deploy computer vision models for processing 2D/3D images • Robot Control and Command • Tune and optimize our robot motion planning and collision avoidance stack • Build and train AI/machine learning based systems to handle real-world welding scenarios • Systems, hardware, and integration • Design and construct sensor enclosures to protect sensors and edge devices • Design robust network architectures with redundancy to ensure always-on and secure access to edge devices • Engage external vendors and integrators to plan and install robotic cells