Robotics & AI Research Engineer
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
AI Model Development: Design, train, and optimize advanced machine learning
models, including deep learning, reinforcement learning, and generative AI, for
robotic applications such as autonomous navigation, dynamic grasping, or
conversational human-robot interfaces.
Research Innovation: Conduct cutting-edge research in computer vision, neural
policies, or natural language processing to develop adaptive and deterministic
robotic behaviors for tasks like inventory scanning or patient assistance.
Skill Creation: Develop AI-driven training modules and templates for Auzmor’s
no-code Task Creator UI, enabling enterprise clients to create task-specific
robotic skills (e.g., quality control in manufacturing, patient care in
healthcare).
Simulation and Validation: Validate AI models in NVIDIA Isaac Sim environments
(e.g., warehouse, hospital scenarios), targeting 95% task success and 0.1%
collision rates; support real-world validation during pilot deployments with
enterprise clients.
Fleet Monitoring Integration: Create algorithms for real-time anomaly detection
and continuous learning, integrating with AWS IoT Greengrass to address 5%
failure rates and enable updates to neural policies and behavior trees for fleet
optimization.
Compliance Alignment: Ensure AI models comply with OSHA, EU AI Act, and ISO
10218 standards, supporting digital badge generation for audit-ready compliance
records in regulated industries.
Knowledge Dissemination: Publish research findings in top-tier journals or
internal whitepapers to enhance Auzmor’s thought leadership, and develop
proprietary algorithms to strengthen our intellectual property portfolio.
Cross-functional collaboration: Partner with robotics software engineers to
translate research into production-ready systems, collaborate with simulation
teams to refine scenarios, and work with enterprise clients to customize AI
solutions for pilot programs.
Requirements
Education: PhD or Master’s degree in Artificial Intelligence, Machine Learning,
Robotics, Computer Science, or a related field.
Experience:
2+ years of experience in AI research applied to robotics, autonomous systems,
or related fields.
Proven expertise in machine learning frameworks such as PyTorch, TensorFlow,
or JAX.
Strong publication record in peer-reviewed journals or demonstrated experience
deploying AI models in real-world robotic applications.
Experience with ROS 2, computer vision libraries (e.g., OpenCV), or simulation
platforms (e.g., NVIDIA Isaac Sim) is highly desirable.
Technical Skills:
Advanced knowledge of reinforcement learning, computer vision, or natural
language processing for robotic applications.
Proficiency in designing and optimizing neural policies, behavior trees, or
generative AI models for adaptive robotic tasks.
Ability to develop algorithms for real-time decision-making and scalable
human-robot collaboration.
Soft Skills: Exceptional analytical and creative problem-solving skills, strong
communication skills to convey complex research to diverse audiences, and the
ability to collaborate across technical and client-facing teams.
Preferred: Experience in robotics applications for manufacturing, logistics, or
healthcare; familiarity with compliance standards (OSHA, EU AI Act, ISO 10218);
prior work on hybrid human-robot training or fleet management systems.
Why Needed
The Robotics & AI Research Engineer is a cornerstone of Auzmor’s Robotics
Division, driving the development of AI innovations that power 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.
Culture: Collaborate with a dream team, including our CPO and VP of Robotics,
in a dynamic, mission-driven environment.
Location
Des Moines, 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.