Backed by Stanford.
About the role
Build our data collection, training and inference pipeline on off-the-shelf hardware integrated with Haptica. Train imitation learning policies (ACT, diffusion policy) with and without our tactile data on tasks where touch matters most: shear, occluded grasps, delicate objects.
What they're looking for
- You have a MS or PhD in robotics, CS, EE or a related field, or equivalent industry experience
- Extensive experience in production-level software and ML engineering best practices
- Experience with modern deep learning frameworks (e.g., PyTorch)
- You're an outstandingly strong written and verbal communicator skilled at simplifying complex topics to teammates, customers, investors, and friends. You make it look easy
- You know the fundamentals for running imitation learning (diffusion policy, ACT or similar) from data collection to training, deployment, and debugging
- You're comfortable with hardware. You've worked with cameras, IMUs, calibration, time synchronization across sensors. You have an intuition for hardware decisions that matter
More about this role
ABOUT HAPTICA
Haptica is building the standard for tactile in robotics.
We build pneumatic-based tactile sensing wearables for robots and people. Gloves and sensors that integrate across grippers, human hands, and robot hands. Teleop teams use Haptica to give human operators low-latency haptic feedback that replicates the pressure that robots put on an object. Data ops teams use Haptica to collect UMI, egocentric, and teleop data to train their models.
Haptica was founded by Dr. Cosima du Pasquier and Paola Peraza Calderon in early 2026 and is backed by top tier investors, including Bessemer Venture Partners, Leitmotif, NVP Capital, and Sarah Smith Fund. Haptica’s advisors include famed roboticist Rodney Brooks, Benchmark Capital co-founder Andy Rachleff, and haptics expert Allison Okamura.
We’re a small and mighty team of builders driven to unlock touch as the new frontier. The next 6 months for us are all about building high quality hardware, quantifiably establishing the impact of tactile data on learning policies, and hiring A-players that can help us scale in 2027.
ABOUT THE ROLE
We’re looking for a Robot Learning Engineer to own the entire function at Haptica. We do not...
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