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
- System Architecture: Design and architect scalable, robust software systems in Python, C++, and ROS 2 for robotic autonomy, perception, and control, ensuring integration with Auzmor’s hybrid training platform.
- Perception and Autonomy Leadership: Oversee the development of advanced perception systems, leveraging computer vision (e.g., OpenCV), sensor fusion, and neural policies for complex tasks like dynamic grasping or patient assistance.
- Skill Creation Strategy: Lead the development of no-code Task Creator UI and behavior tree frameworks, enabling enterprise clients to create task-specific skills for deterministic and adaptive applications.
- Simulation and Validation: Architect simulation pipelines in NVIDIA Isaac Sim, achieving 95% task success and 0.1% collision rates; lead real-world validation for pilot deployments with enterprise clients.
- Fleet Monitoring and Retraining: Design and implement real-time telemetry and anomaly detection systems using AWS IoT Greengrass, addressing 5% failure rates and enabling continuous learning for neural policies and behavior trees.
- Compliance Leadership: Ensure software meets OSHA, EU AI Act, and ISO 10218 standards, driving digital badge generation and audit-ready compliance records for global regulations.
- Team Leadership: Mentor mid-level and junior engineers, lead cross-functional teams (AI, simulation, compliance), and drive technical strategy for robotic training pilots and full-scale deployments.
- Strategic Collaboration: Work with enterprise clients and partners (e.g., NVIDIA, AWS) to customize solutions, align with pilot feedback, and scale to fleets of 100+ robots.
-
Innovation: Contribute to R&D initiatives, exploring new algorithms, neural policies, or reinforcement learning techniques to maintain Auzmor’s 2-3 year lead in hybrid training.
- Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
-
Experience:
○ Extensive expertise in Python, C++, and ROS 2; deep proficiency with OpenCV, TensorFlow, or PyTorch.
○ Proven track record of leading complex robotics projects, including real-time systems, embedded software, and large-scale sensor integration.
○ Experience with simulation platforms (e.g., NVIDIA Isaac Sim, Gazebo) and IoT frameworks (e.g., AWS IoT Greengrass) is required.
-
Technical Skills:
○ Deep experience with behavior trees, neural policies, and reinforcement learning for robotic applications.
○ Ability to architect scalable systems for fleets of 100+ robots, ensuring reliability and compliance.
- Soft Skills: Exceptional leadership, strategic thinking, and communication skills to guide teams, influence stakeholders, and collaborate with enterprise clients.
-
Preferred: Experience in manufacturing, logistics, or healthcare robotics; expertise in compliance standards (OSHA, EU AI Act, ISO 10218); prior leadership in robotic training or fleet management projects.
The Senior Robotics Software Engineer is a linchpin for Auzmor’s Robotics Division, driving the architectural and strategic foundation of our hybrid workforce training platform. This role is essential for Phase 2 (2025) milestones, including 5 robotic training pilots with $500K revenue, and Phase 3 (2026) goals of neural policy integration, anomaly detection, and $2M ARR with 15 clients. By addressing the 35% skills gap, ensuring 99% fleet uptime, and leading compliance efforts, this position positions Auzmor to dominate the $45B robotic training market by 2028 and grow 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.
-
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.
Other similar jobs
C++ GPU Modelling Engineer
@ AMD, 📍India 🇮🇳
GPU Systems Software Engineer - Cork, Ireland
@ Qualcomm, 📍India 🇮🇳
Embedded Software Engineer
@ Actalent, 📍India 🇮🇳
Embedded Software Engineer
@ Abbott, 📍India 🇮🇳
Embedded Software Engineer
@ Actalent, 📍India 🇮🇳
Embedded Software Engineer FCS & FMS
@ Airbus, 📍India 🇮🇳
Junior R&D Software/Firmware Engineer - C++
@ Agilent Technologies, 📍India 🇮🇳
Embedded Software Development Engineer, Ring
@ Amazon, 📍India 🇮🇳
Embedded Software Engineer FCS & FMS
@ Airbus, 📍India 🇮🇳
Embedded Software Engineer II, Ring
@ Amazon, 📍India 🇮🇳
-
Employment
⏱︎ full-time
-
Experience
🧙♂️ senior
-
Skills
-
Industry
-
Find similar jobs
C++ GPU Modelling Engineer
@ AMD, 📍India 🇮🇳
GPU Systems Software Engineer - Cork, Ireland
@ Qualcomm, 📍India 🇮🇳
Embedded Software Engineer
@ Actalent, 📍India 🇮🇳
Embedded Software Engineer
@ Abbott, 📍India 🇮🇳
Embedded Software Engineer
@ Actalent, 📍India 🇮🇳
Embedded Software Engineer FCS & FMS
@ Airbus, 📍India 🇮🇳
Junior R&D Software/Firmware Engineer - C++
@ Agilent Technologies, 📍India 🇮🇳
Embedded Software Development Engineer, Ring
@ Amazon, 📍India 🇮🇳
Embedded Software Engineer FCS & FMS
@ Airbus, 📍India 🇮🇳
Embedded Software Engineer II, Ring
@ Amazon, 📍India 🇮🇳