Sangha Partners

Compensation

Full Description

About the Role We’re building the intelligence layer that enables next-generation robots to perform complex, high-precision tasks autonomously in real industrial environments. As a Senior Deep Learning Engineer, you’ll design the models and algorithms that drive weld path planning, adaptive control, and automated quality inspection. This role blends deep learning, advanced computer vision, robotics fundamentals, and reasoning-driven decision systems. You’ll work across perception, simulation, planning, and adaptive control to push the boundaries of what autonomous robots can do. What You’ll Work On • Develop weld path planning models that interpret engineering drawings, 3D scans, and perception data to generate optimized trajectories • Build adaptive welding control systems that adjust parameters in real time using visual, thermal, and force-sensor feedback • Create automated quality inspection systems using CV, thermal analysis, sensor fusion, and structured light • Develop sim-to-real pipelines for training, evaluation, and behavior transfer • Work closely with robotics, hardware, and field teams to refine performance using real-world data • Own core pieces of the autonomy and intelligence stack, from modeling to deployment What We’re Looking For • 4-8+ years experience building and deploying ML or robotics systems • Deep expertise in computer vision and deep learning, including generative models, perception pipelines, or multimodal modeling • Strong grounding in robotics fundamentals- kinematics, motion planning, control, trajectory optimization • Experience building ML systems that solve real-world problems, not only academic datasets • Bonus: simulation frameworks (Isaac Sim, Gazebo, PyBullet), 3D geometry, digital twins • Bonus: manufacturing automation, quality inspection, welding/industrial processes • Bonus: Publications or strong applied research experience (ICRA, CoRL, RSS, CVPR, NeurIPS, etc.) Why This Role Is Unique • You’re building the intelligence layer, not just perception • Direct impact on autonomy capabilities used in high-value industrial applications • Significant technical ownership + greenfield modeling opportunities • Work spans modeling, simulation, planning, and real-world field integration