Okay, I've searched for Principal Embodied AI Engineer positions in Redmond, WA requiring 7+ years of experience in AI-driven robotics, proficiency in Python and C++, full-time jobs, and salaries above $200,000. I have found 23 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Principal Embodied AI Engineer role at Genie, a Terex Corporation brand, is fundamentally about advancing the integration of sophisticated AI within industrial machinery—specifically intelligent lifts used in construction and maintenance. This position demands not only deep technical expertise in AI, robotics, and embedded systems but also the ability to lead the design and deployment of AI solutions driving perception, control, and decision-making capabilities in real time. The candidate will solve complex challenges such as object detection in dynamic environments, autonomous navigation amid industrial constraints, and building intuitive human-machine interfaces that prioritize safety and operator ease. Success hinges on strategic vision-setting for AI applications, cross-disciplinary collaboration with hardware, software, and safety teams, and blending academic rigor with practical, production-grade system design. Key qualifications like proficiency in Python, C++, ROS, reinforcement learning, and sensor fusion are critical because they enable building robust, efficient AI systems that can withstand the rigors of industrial operation. The candidate must also demonstrate leadership in mentoring and guiding junior talent, indicating this is a role with considerable influence on the team’s technical direction and culture. In addition to mastery of AI techniques, navigating regulatory industrial safety standards and optimizing models for embedded deployment raise the role’s complexity. The candidate will need strong judgment to make tradeoffs among performance, safety, and resource constraints daily. In the first 6-12 months, success likely involves delivering scalable AI prototypes, integrating them safely into Genie Lift products, and demonstrating measurable improvements in autonomy and operational safety, while fostering a collaborative R&D environment.

Company Analysis:

Terex Corporation operates as a well-established global leader in manufacturing heavy industrial equipment, focusing on sectors like construction, utilities, and materials processing. This mature industrial heavyweight contrasts with typical tech startups, embedding AI within physical machinery that must meet strict safety and reliability mandates. Terex’s deep heritage and global footprint imply a culture valuing stability, quality, and incremental innovation tied closely to real-world impact. The emphasis on values such as Integrity, Respect, and Safety indicates a mission-oriented environment where compliance and ethical considerations are paramount. For someone stepping into this Principal Embodied AI Engineer role, the culture will likely balance technical ambition with rigorous adherence to safety standards and sustainability goals. The company's inclusion focus and commitment to servant leadership suggest a collaborative and supportive environment, but as a principal engineer, the candidate is expected to be a visible leader who can influence multiple teams, including safety, hardware engineering, software, and product management. Terex’s strategic direction toward hybrid and electric machinery augmented with digital solutions speaks to growth and transformation—this role is pivotal in enabling that AI-driven evolution of heavy machinery. Given that the role is on-site in Redmond, embedding within multi-disciplinary teams and company values first-hand is essential. The hire represents a strategic, growth-focused move, aiming to elevate the product line through cutting-edge AI, delivering tangible safety, efficiency, and usability gains in a competitive industrial equipment market.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to lead a cross-functional team through the development of a complex AI-driven system. How did you handle conflicting priorities and ensure alignment?
• Behavioral: Describe a situation where you faced a significant safety or regulatory challenge in an embedded AI or robotics project. How did you approach resolving it?
• Behavioral: Can you share an example of mentoring junior engineers? What strategies did you use to support their growth while maintaining project momentum?
• Behavioral: Talk about a moment when your initial AI model did not perform as expected in a real-world environment. How did you debug and improve it?
• Technical: How would you design an AI perception system for object detection and pose estimation on a mobile industrial platform like the Genie Lift?
• Technical: Explain your approach to integrating reinforcement learning algorithms in a real-time embedded system with strict computational and power constraints.
• Technical: Describe your experience with ROS and how you would leverage it to develop scalable autonomous navigation solutions for heavy machinery.
• Technical: What methods and tools have you used to optimize deep learning models for edge deployment, and what are the common tradeoffs involved?
• Situational: Imagine the AI system you developed for the Genie Lift is producing inconsistent object detection results under varying lighting conditions. How would you troubleshoot and address this issue?
• Situational: Suppose a cross-functional disagreement arises between the AI team and safety engineers regarding an autonomous feature’s risk level. How would you navigate this conflict?
• Situational: You are tasked with mentoring a junior engineer struggling to grasp reinforcement learning concepts critical for the project. How would you structure your guidance to accelerate their learning?
• Company Fit: What interests you most about working at Terex and contributing to AI in the industrial equipment sector as opposed to tech-focused robotics startups?
• Company Fit: How do you see your personal values aligning with Terex’s emphasis on safety, integrity, and servant leadership?
• Company Fit: Terex emphasizes sustainable and emission-reducing industrial solutions. How would you incorporate these priorities into your AI system designs?
• Candidate Questions: Can you describe the current AI team structure and how this role interacts with hardware and product teams?
• Candidate Questions: What are the biggest technical and organizational challenges faced by the Genie Lift AI group over the next 12 months?
• Candidate Questions: How does Terex support continuous learning and professional growth for technical leaders in AI and robotics?