Bengaluru
We are a stealth-mode funded robotics startup based out of Bengaluru & Boston, taking on one of the hardest deep-tech challenges of the coming decade: building humanoid robots that can make boring physical work optional for humanity.
Our founding team is the kind of group you’d assemble if you started from a blank sheet to build humanoid robots: people who have taken products from zero to multi-billion-dollar global scale, paired with robotics and AI researchers from top labs whose work in robot learning and manipulation has shaped the state of the art. Around this core, we’re assembling a world-class team with researchers from top global universities and seasoned industry engineers across robotics, control, and AI.
As a Robotics Control Software Engineer, you’ll live inside the control loop of our humanoid robots: getting real hardware to manipulate the physical world safely, precisely, and reliably. Our robots run contact-rich, bimanual manipulation on capable robot bodies, and your job is to make that motion robust, from the real-time control stack up through teleoperation and sim-to-real.
This is a 0→1 role. You’ll work directly with the founders and early robotics team, shaping our control stack, real-time software, and experimentation workflows that future teams will build on.
Own bimanual manipulation control on real robots: reaching, grasping, and contact-rich tasks that demand precision and stability
Build and maintain real-time control pipelines in ROS 2: clean message contracts, hardware abstraction layer, kinematics, teleoperation, and a single safety path for every command
Integrate real-time fieldbus communication with networked joint controllers into the command and safety path, including time synchronization across distributed components
Build and harden the pipeline we use to collect AI training data & deploy models
Work with the simulation and learning teams to bring manipulation policies from sim to real safely
0–5 years of experience in robotics / controls / real-time embedded systems
Strong in Python/C++ and comfortable in Linux
Hands-on ROS 2 experience on real robots or hardware-in-the-loop
Solid grasp of manipulator kinematics and inverse kinematics, ideally with exposure to optimization-based methods, Jacobians, and singularity handling
Comfortable reasoning about real-time behaviour: loop rates, latency, jitter, and timing across distributed components
Bonus: real-time fieldbuses, teleoperation and motion retargeting, tactile or force sensing, optimization-based control or IK, physics simulators, or deploying learned policies on edge compute
You are low-ego, high-ownership, and happiest when something you wrote yesterday is making a robot move better today.
Work on one of the most ambitious robotics problems of this decade, with our own hardware from day one
Collaborate with a tight, world-class team including PhDs and senior engineers from top global universities and companies
Extreme scope and visibility: your work will be directly visible in what our robots can or cannot do
Competitive salary plus meaningful early-employee equity
We’ll share more about the company, roadmap, and platform after an initial conversation.