Robotics Software Engineer 2
📌Des Moines, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
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: Design and implement robust, scalable code in Python, C++, and ROS 2 for robotic autonomy, perception, and control systems, optimizing for real-time performance.
- Perception and Autonomy: Lead development of perception systems, integrating computer vision (e.g., OpenCV), sensor fusion (LIDAR, IMU), and neural policies for adaptive tasks like dynamic grasping or inventory scanning.
- Skill Creation: Drive the development of no-code Task Creator UI modules and behavior trees for deterministic tasks (e.g., assembly), ensuring usability for non-expert enterprise users.
- Simulation and Testing: Develop and validate software in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1% collision rates; support real-world trials with enterprise clients.
- Fleet Monitoring: Implement telemetry and anomaly detection systems using AWS IoT Greengrass, addressing 5% failure rates and enabling continuous learning updates to neural policies and behavior trees.
- Compliance: Ensure software aligns with OSHA, EU AI Act, and ISO 10218 standards, supporting digital badge generation for audit-ready compliance records.
- Mentorship: Guide junior engineers, conduct code reviews, and foster best practices in software development and testing.
-
Collaboration: Partner with AI teams to integrate machine learning models (e.g., TensorFlow, PyTorch) and work with clients to customize task-specific skills for pilot deployments.
- Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
-
Experience:
○ Strong expertise in Python, C++, and ROS 2; proficiency 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) and IoT frameworks (e.g., AWS IoT Greengrass) is preferred.
-
Technical Skills:
○ Experience with behavior trees, neural policies, or reinforcement learning for robotic tasks.
○ Ability to optimize software for scalability and reliability in fleets of 100+ robots.
- Soft Skills: Strong leadership, problem-solving, and communication skills to mentor team members and collaborate with cross-functional teams and clients.
-
Preferred: Experience in manufacturing, logistics, or healthcare robotics; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218).
The Mid-Level Robotics Software Engineer is essential for scaling Auzmor’s Robotics Division, leading critical components of our hybrid workforce training platform. This role supports Phase 2 (2025) goals, including the development of Task Creator prototypes and 5 robotic training pilots generating $500K in revenue, as well as Phase 3 (2026) objectives of neural policy deployment and anomaly detection. By addressing the 35% skills gap in human-robot collaboration and ensuring compliance with global regulations, this position drives Auzmor’s growth in the $45B robotic training market by 2028.
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.
Des Mones, Iowa, USA
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, 📍United States 🇺🇸
GPU Systems Software Engineer - Cork, Ireland
@ Qualcomm, 📍United States 🇺🇸
Embedded Software Engineer
@ Actalent, 📍United States 🇺🇸
Embedded Software Engineer
@ Abbott, 📍United States 🇺🇸
Embedded Software Engineer
@ Actalent, 📍United States 🇺🇸
Embedded Software Engineer FCS & FMS
@ Airbus, 📍United States 🇺🇸
Junior R&D Software/Firmware Engineer - C++
@ Agilent Technologies, 📍United States 🇺🇸
Embedded Software Development Engineer, Ring
@ Amazon, 📍United States 🇺🇸
Embedded Software Engineer FCS & FMS
@ Airbus, 📍United States 🇺🇸
Embedded Software Engineer II, Ring
@ Amazon, 📍United States 🇺🇸
-
Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Skills
-
Industry
-
Find similar jobs
C++ GPU Modelling Engineer
@ AMD, 📍United States 🇺🇸
GPU Systems Software Engineer - Cork, Ireland
@ Qualcomm, 📍United States 🇺🇸
Embedded Software Engineer
@ Actalent, 📍United States 🇺🇸
Embedded Software Engineer
@ Abbott, 📍United States 🇺🇸
Embedded Software Engineer
@ Actalent, 📍United States 🇺🇸
Embedded Software Engineer FCS & FMS
@ Airbus, 📍United States 🇺🇸
Junior R&D Software/Firmware Engineer - C++
@ Agilent Technologies, 📍United States 🇺🇸
Embedded Software Development Engineer, Ring
@ Amazon, 📍United States 🇺🇸
Embedded Software Engineer FCS & FMS
@ Airbus, 📍United States 🇺🇸
Embedded Software Engineer II, Ring
@ Amazon, 📍United States 🇺🇸