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Director Nvidia Autonomous Driving Jobs in Iowa (NOW HIRING)

... autonomous decision-making, object recognition, and natural language processing for human-robot ... Validate AI models in NVIDIA Isaac Sim environments (e.g., warehouse, hospital scenarios ...

Proven success in driving measurable pipeline and ROI * Experience building marketing functions ... Full ownership and autonomy to shape marketing * Data-driven, innovative environment * Flexible ...

... direct and through a growing network of elite dealers across the USA and abroad. Position Summary The Regional Sales Manager is responsible for driving sales growth of Sabanto's autonomous tractor ...

... direct and through a growing network of elite dealers across the USA and abroad. Position Summary The Regional Sales Manager is responsible for driving sales growth of Sabanto's autonomous tractor ...

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Director Nvidia Autonomous Driving information

What does a director Nvidia Autonomous Driving do?

A Director of Nvidia Autonomous Driving leads teams that develop and implement advanced autonomous vehicle technologies using Nvidia's hardware and software platforms. They oversee strategic planning, product development, and collaborations with automotive partners to bring self-driving solutions to market. This role requires a strong background in artificial intelligence, automotive systems, and leadership to ensure the successful deployment of safe and efficient autonomous driving technologies.

What are the key skills and qualifications needed to thrive as a director Nvidia Autonomous Driving?

To thrive as a Director of Nvidia Autonomous Driving, you need deep expertise in autonomous vehicle technologies, computer vision, AI/ML, and a strong background in engineering or computer science, often supported by an advanced degree and extensive leadership experience. Familiarity with development platforms like NVIDIA DRIVE, programming languages such as Python and C++, and industry standards/certifications related to automotive safety are crucial. Strategic vision, stakeholder management, and the ability to lead cross-functional teams are standout soft skills in this role. These competencies ensure the delivery of innovative, safe, and commercially viable autonomous driving solutions in a rapidly evolving industry.

What are some key challenges a director Nvidia Autonomous Driving might face when leading cross-functional teams?

As a Director of Nvidia Autonomous Driving, you will often navigate the complexities of aligning diverse teams such as engineering, product management, and research to advance autonomous vehicle technology. Managing rapidly evolving technical requirements, balancing innovation with safety and regulatory compliance, and ensuring effective communication between software, hardware, and AI specialists are common challenges. Overcoming these requires strong leadership, a clear strategic vision, and the ability to foster collaboration across global teams. Building robust processes for testing, validation, and integration is essential to deliver on ambitious project timelines.

What is the difference between Director Nvidia Autonomous Driving vs Senior Autonomous Vehicle Software Engineer?

AspectDirector Nvidia Autonomous DrivingSenior Autonomous Vehicle Software Engineer
CredentialsAdvanced degrees in engineering or computer science, leadership experienceBachelor's or Master's in related field, specialized technical skills
Work EnvironmentLeadership roles overseeing teams, strategic planningHands-on software development, coding, testing
Employer & Industry UsageTech companies like Nvidia, automotive industry, R&DAutonomous vehicle companies, automotive suppliers, R&D
Search & Comparison IntentUnderstanding leadership roles in autonomous drivingTechnical development and engineering focus

The Director Nvidia Autonomous Driving typically holds a leadership position overseeing autonomous vehicle projects, requiring strategic and managerial skills. In contrast, a Senior Autonomous Vehicle Software Engineer focuses on technical development, coding, and implementing autonomous driving algorithms. Both roles are integral to Nvidia's autonomous driving initiatives but differ mainly in scope, responsibilities, and required experience.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in Iowa?

The most popular types of Nvidia Autonomous Driving jobs in Iowa are:

What are popular job titles related to Director Nvidia Autonomous Driving jobs in Iowa?

For Director Nvidia Autonomous Driving jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Director Nvidia Autonomous Driving jobs in Iowa look for?

The top searched job categories for Director Nvidia Autonomous Driving jobs in Iowa are:

What cities in Iowa are hiring for Director Nvidia Autonomous Driving jobs?

Cities in Iowa with the most Director Nvidia Autonomous Driving job openings:

Robotics Software Engineer 3 (Senior-Level)

Auzmor

Des Moines, IA • On-site

Full-time

Re-posted 6 days ago


Job description

Title: Robotics Software Engineer 1 (Junior)
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.
Requirements
Education: Bachelor's, Master's, or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field.
Experience:
• 8+ years of experience in robotics software development, with a focus on system architecture, autonomy, or perception.
• 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:
• Expert knowledge of algorithms for navigation, path planning, and human-robot interaction.
• 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.
Why Needed
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.
Location
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.

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About Auzmor

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

West Des Moines, IA, US

Year founded

2017