Humanoid Robotics Engineer
📌São Paulo, Brazil 🇧🇷
⏱︎ full-time
🧙♂️ mid-level
hybrid
The Robotics Division
- We work on embodied AI and autonomous systems across various robotics platforms and applications
- Full development cycle from simulation environment design in NVIDIA IsaacLab/Sim/Gym to deployment on physical robots
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São Paulo lab with advanced robotics hardware including humanoids and vending machines
- Invent and build humanoid tasks and environments – from simple flat-ground locomotion to challenging obstacle courses
- Train and refine policies using RSL-RL, RL-Games, Stable-Baselines3, or similar GPU-parallel RL libraries
- Explore cutting-edge approaches – reinforcement learning, imitation learning, diffusion policies, and transformer-based approaches for continuous control
- Close the Sim2Real gap through domain/dynamics randomization, calibration, and staged deployment on the humanoid platform in our lab
- Integrate with robotics ecosystem – ROS 2 (ros2_control, MoveIt 2) and NVIDIA's robotics stack (Isaac ROS, cuRobo/cuMotion, NVBlox)
- Orchestrate complex behaviors with BehaviorTree.CPP/Groot , and experiment with Isaac GR00T for high-level humanoid skill composition
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Measure and iterate with reproducible pipelines, dashboards, and design documentation to accelerate R&D cycles
- Solid ML and RL foundations (PPO, SAC, TD3) with hands-on PyTorch experience
- NVIDIA Isaac ecosystem proficiency – Isaac Sim/Isaac Lab and legacy environments (Isaac Gym, OmniIsaacGymEnvs, Orbit)
- Strong ROS 2 skills – ros2_control, lifecycle nodes, planning and perception integration
- Sim2Real expertise – domain randomization, dynamics tuning, and safe hardware deployment
- Engineering best practices – version control, containerization, reproducibility, and documentation
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Must be able to work on-site in São Paulo for regular robotics lab sessions with physical robots
- Legged locomotion experience with humanoid control tasks (Legged Gym, ETH Zurich RSL environments)
- MuJoCo-based RL workflows (Gymnasium, dm_control, robosuite) for algorithm prototyping and benchmarking
- Advanced policy architectures – Diffusion/Transformer policies for robotics applications
- NVIDIA robotics stack – GPU-accelerated planning (cuRobo, cuMotion) and Isaac ROS perception (NVBlox, VSLAM)
- Real-time systems and mechatronics knowledge (PREEMPT_RT, C++ optimization)
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Strong portfolio of robotics and ML projects (GitHub repos, demonstrations, research papers)
- Hybrid role – collaborate remotely but spend regular days in our robotics lab
- Hands-on experimentation with physical humanoid robots is a core part of this job
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Test, validate, and deploy your simulation work on real hardware in our São Paulo lab
- Challenge: You'll receive a technical challenge to demonstrate your skills in robotics, simulation, and machine learning
- Technical interview
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Cultural interview
Diversity and inclusion:
We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Working model
hybrid
-
Skills
-
Industry
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