Acumino is hiring across research, engineering, and field deployment to bring dexterous, AI-driven robots into industrial production. Roles are open across our Athens, Thessaloniki, Kavala, Auckland, Boston, and San Francisco offices.
Cloud Infrastructure Engineer
JuniorSenior
Athens, Greece
Auckland, New Zealand
Own the cloud backbone that powers AcuBrain's data engine and the delivery of trained robot policies to production robots on the factory floor.
What you'll do
Design and operate the pipelines that move robot interaction data from capture rigs to training clusters.
Build and maintain GPU-backed training and evaluation infrastructure on Kubernetes.
Harden the deployment path that ships trained policies to on-site robot controllers, with observability and safe rollback.
Own cost, security, and reliability of the cloud footprint.
What we're looking for
Strong Python and infrastructure-as-code fluency (Terraform or similar).
Production experience with Kubernetes and distributed compute at scale.
Familiarity with ML training workflows and data-intensive systems.
Senior: 6+ years, comfortable on-call, has owned multi-region infra. Junior: 1–3 years, strong CS fundamentals, ready to grow into ownership.
Train the foundation robot models that turn AcuBrain-captured manipulation data into deployable policies. Push the state of the art in dexterous, hardware-agnostic robot learning.
What you'll do
Design and train imitation-learning, reinforcement-learning, and behavior-cloning policies on large manipulation datasets.
Evaluate models in simulation (Isaac, MuJoCo) and on real hardware, closing the sim-to-real loop.
Publish internal benchmarks and collaborate with the manipulation and hardware teams on failure-mode analysis.
Ship models to production robots across Universal Robots, Fanuc, Mitsubishi MELFA, Fairino, OpenArm, and more.
What we're looking for
PhD or MSc in robotics, ML, or a related field — or equivalent industry experience.
Hands-on with PyTorch, transformer/diffusion architectures for manipulation, and multi-modal (vision + proprioception + tactile) inputs.
Comfortable reading and implementing recent robot-learning papers.
Senior: track record of shipping learned policies to physical robots, publications a plus. Junior: strong ML fundamentals, prior research or internship with robots or embodied agents.
Own the manipulation stack that lets Acumino robots grasp, insert, assemble, and handle industrial parts with human-level dexterity. Bridge classical control with learned policies.
What you'll do
Design end-effectors, grippers, and tactile stacks for tasks that off-the-shelf grippers can't reach.
Build and tune motion-planning, force-control, and hybrid position/impedance controllers.
Integrate learned policies with real-time control loops on industrial robot arms.
Run manipulation experiments end-to-end: task definition → data capture → policy training → hardware validation.
What we're looking for
Degree in robotics, mechatronics, mechanical engineering, or a related discipline.
Hands-on experience with ROS/ROS2, real robot arms (UR, Franka, Fanuc, or similar), and standard perception stacks.
Solid grounding in kinematics, dynamics, and contact-rich manipulation.
Senior: shipped a manipulation system to a real customer or lab deployment. Junior: strong academic-project or internship background, comfortable with a wrench as well as a keyboard.
Mechatronics Engineer — Grippers, Tools & Data Interfaces
JuniorSenior
Athens, Greece
Auckland, New Zealand
Design and build the physical apparatus that captures the world's most accurate manipulation data and lets Acumino robots grasp what off-the-shelf grippers can't. Own the mechatronics stack end-to-end: mechanical design, sensing, embedded firmware, and the data pipeline into AcuBrain.
What you'll do
Design custom robotic grippers, end-effectors, and specialised tools for tasks that demand humanlike dexterity.
Build the data-collection rigs and teleoperation interfaces used to capture ground-truth manipulation demonstrations for AcuBrain.
Own the embedded firmware running on grippers, sensors, and capture hardware — real-time control, sensor fusion, and reliable telemetry back to the training pipeline.
Take hardware from concept to field-ready: CAD, prototyping, tolerance and manufacturing decisions, then iteration cycles driven by real deployment feedback.
What we're looking for
Degree in mechatronics, mechanical, electrical, or robotics engineering.
Hands-on designing electromechanical assemblies — grippers, actuators, or precision instruments — and taking them through fabrication.
Strong embedded systems background: C/C++ on microcontrollers (STM32, ESP32, or similar), real-time firmware, sensor interfacing (I2C, SPI, CAN).
Senior: has shipped custom hardware into production or long-running deployments and can lead mechanical/electrical trade-offs. Junior: strong academic-project or internship portfolio, comfortable across the mech, elec, and firmware boundaries.
Build the systems glue that ties AcuBrain's data engine, the robot policies, and the on-site deployment path together — from the tools operators use during data capture to the runtime shipped to factory robots.
What you'll do
Design and ship internal tooling for data capture, dataset curation, and multi-robot playback.
Build the runtime layer that executes trained policies on real robots inside hard latency budgets.
Own developer experience across the Acumino stack: build tooling, CI, testing infrastructure.
Contribute wherever the critical path leads — from Python services to C++ runtimes to TypeScript operator UIs.
What we're looking for
Strong software engineering fundamentals across Python and either a systems language (C++, Rust) or a modern frontend stack (TypeScript, React).
Comfort with real-time or latency-sensitive systems and multi-service architectures.
Track record of shipping and owning production software end-to-end.
Senior: multi-year experience owning services in production, has mentored other engineers. Junior: solid CS background and meaningful side-projects or internship work.
Take Acumino's robotic systems from our labs into customer factories. Own the deployment end-to-end: install, integrate, tune, and get the robot doing the customer's actual task on the customer's actual line.
Diagnose and fix problems that only appear on the factory floor — mechanical, electrical, sensing, or software.
Own the customer relationship during and after deployment: task refinement, follow-up training rounds, uptime tracking.
Feed learnings from the field back into product: what breaks, what needs to be easier, what the next customer will hit.
What we're looking for
Degree in mechanical, mechatronics, or robotics engineering.
Hands-on with industrial robot arms, end-effectors, PLCs, and factory safety systems.
Comfortable diagnosing across the stack — a customer problem might be a bolt torque, a sensor calibration, a network glitch, or a policy edge case, and you should be able to walk any of them down.
Willing to travel — customer sites are the office for meaningful stretches. Strong communication: you're the face of Acumino at the customer.
Don't see a fit? We're always interested in hearing from strong engineers and researchers who care about getting dexterous robots into the real world. Reach out at careers@acumino.ai.