Description
Auzmor is redefining workforce training by seamlessly integrating human and robotic skill development to empower the hybrid workforce of tomorrow. As a Robotics & AI Research Engineer in our Robotics Division, you will lead pioneering research to enhance robotic capabilities through advanced artificial intelligence, focusing on areas such as autonomous decision-making, object recognition, and natural language processing for human-robot interaction. You will develop state-of-the-art machine learning models, reinforcement learning algorithms, and computer vision solutions to drive Auzmor’s end-to-end hybrid workforce training platform. Collaborating with robotics software, simulation, and compliance teams, you will create AI-driven training modules, proprietary algorithms, and skill development tools, ensuring robust integration with robotic systems for applications in manufacturing, logistics, and healthcare.
This role is essential to achieving Auzmor’s mission of delivering 25% improvement in human-robot efficiency, addressing the 35% skills gap in human-robot collaboration, and maintaining a 2-3 year lead in the $45B robotic training market by 2028, growing to $100B by 2030.
Key Responsibilities
- Software Development: Write, optimize, and maintain high-performance code in Python, C++, and ROS 2 to support robotic autonomy, perception, and control systems.
- Perception and Autonomy: Implement and refine perception systems using computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning.
- Skill Creation: Develop no-code Task Creator UI components and behavior trees for deterministic tasks (e.g., assembly) to support Auzmor’s skill development platform.
- Simulation and Testing: Build and test software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios) to achieve 95% task success and 0.1% collision rates; conduct supervised real-world trials.
- Fleet Monitoring and Retraining: Integrate software with AWS IoT Greengrass for real-time telemetry, anomaly detection (e.g., identifying 5% failure rates), and continuous learning updates to neural policies and behavior trees.
- Compliance and Certification: Ensure software supports digital badge generation for OSHA and EU AI Act compliance; implement safety standards per ISO 10218.
- Collaboration: Partner with AI teams to integrate machine learning models (e.g., TensorFlow, PyTorch) into robotic systems and work with enterprise clients to customize task-specific skills.
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Deployment: Support OTA updates, skill versioning, and rollbacks for fleets of 100+ robots, ensuring scalability and reliability.
- Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
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Experience:
○ Proven expertise in Python, C++, and ROS 2; familiarity with OpenCV, TensorFlow, or PyTorch.
○ Experience with real-time systems, embedded software, and sensor integration (e.g., LIDAR, cameras).
○ Prior work with simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo) is a plus.
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Technical Skills:
○ Knowledge of behavior trees, neural policies, or reinforcement learning for robotic tasks.
○ Familiarity with AWS IoT Greengrass or similar IoT platforms for telemetry and monitoring.
- Soft Skills: Strong problem-solving abilities, teamwork, and communication skills to collaborate with cross-functional teams and enterprise clients.
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Preferred: Experience in manufacturing, logistics, or healthcare robotics applications; knowledge of compliance standards (OSHA, EU AI Act, ISO 10218).
The Robotics Software Engineer is a cornerstone of Auzmor’s Robotics Division, driving the development of software that powers our end-to-end hybrid workforce training platform. This role directly supports Auzmor’s Phase 2 (2025) goals of launching AI agent training modules, Task Creator prototypes, and robotic training pilots, as well as Phase 3 (2026) objectives of full-scale neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and enabling 99% fleet uptime, this position aligns with Auzmor’s vision to capture a share of the $45B robotic training market by 2028, growing to $100B by 2030.
Why Auzmor?
- Impact: Be part of a 2-3 year lead in hybrid workforce training, working with 100+ enterprise clients, including Fortune 500 companies.
- Innovation: Leverage Auzmor’s 6-year AI/ML stack, ROS 2-compatible platform, and partnerships with NVIDIA and AWS to build state-of-the-art robotics solutions.
- Growth: Join a team targeting $18M ARR in 2025 and $27.2M by 2028, with opportunities to shape a rapidly expanding industry.
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Culture: Collaborate with a dream team, including our CPO and VP of Robotics, in a dynamic, mission-driven environment.
Hyderabad, India
Compensation
Competitive salary, equity options, and comprehensive benefits
Auzmor is an equal-opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates.
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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🧙♂️ junior
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