Okay, I've searched for Embedded Software Engineer roles that are remote in the US or Canada, requiring intermediate experience with skills in C++, CUDA, and TensorFlow, within the industrial control or heavy machinery industry. I have found 112 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

This Embedded Software Engineer II role centers on advancing autonomous farming machinery through high-performance embedded software development. The candidate is essentially hired to design, optimize, and deploy software architectures that drive perception, navigation, and robotic control systems on NVIDIA Jetson platforms. Success in this role demands not just proficiency in C++ and AI frameworks like TensorFlow and PyTorch, but also a sharp understanding of GPU acceleration using CUDA to enable real-time, embedded AI computation within heavy machinery environments. Problem-solving is a daily norm as the engineer must seamlessly integrate hardware and software components across CAN and Ethernet communication protocols, often navigating the complexities of industrial-grade safety and reliability standards. The remote nature of the work underscores a need for strong written and verbal communication skills to coordinate across cross-functional teams and stakeholders including software, hardware, and testing groups. The role requires a balance of technical depth in embedded AI innovation and practical systems engineering capabilities. Candidates must be comfortable crafting detailed design documents while also iterating on real-world deployments and tests. Success within 6–12 months likely means reliably delivering robust embedded AI features that demonstrably improve machine autonomy, along with clear, collaborative contributions to product validation and scalability within the domain of farming automation.

Company Analysis:

Actalent is a global engineering and sciences talent solutions leader that supports visionary companies in accelerating their technical initiatives. Occupying a strong niche serving Fortune 500 clients across multiple industries, Actalent is positioned as both a talent provider and innovation partner. This means employees here, especially in consulting roles, operate in dynamic, client-focused environments that require agility, technical expertise, and impeccable professional communication. The company culture implicitly values collaboration, continuous learning, and equal opportunity, indicative of a modern and inclusive workplace that respects diverse perspectives. Given this embedded developer’s role supports an advanced client project at the frontier of agricultural automation, the position likely involves both autonomy and cross-team visibility, necessitating strong project ownership alongside the willingness to engage with various technical leads and management. Strategic alignment is clear: this role helps Actalent’s clients accelerate AI-embedded robotics integration in heavy machinery, contributing to breakthrough industrial automation and operational efficiencies. The remote and consulting format also suggests the candidate must self-manage, stay highly motivated, and thrive amidst evolving technical challenges. For a candidate, this means embracing a consulting mindset—being adaptable, communicative, and delivery-oriented while leveraging Actalent’s broad technological ecosystem.

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

• Behavioral: Tell me about a time when you had to troubleshoot a complex integration issue between embedded software and hardware components. How did you diagnose and resolve it?
• Behavioral: Describe a scenario where you worked remotely with cross-functional teams. How did you ensure clear communication and collaboration despite geographic separation?
• Behavioral: Can you share an experience where you optimized GPU performance for an AI model in an embedded system? What challenges did you face and what was the outcome?
• Behavioral: Tell me about a time you had to create technical documentation to support a product deployment. How did you ensure the documentation was clear and useful for stakeholders?
• Technical: How would you approach designing a software architecture for autonomous navigation on an NVIDIA Jetson AGX Orin platform?
• Technical: Walk me through your experience with CUDA programming. How do you optimize AI model inference on embedded GPU systems?
• Technical: Explain how you would implement CAN bus or Ethernet communication protocols in a distributed embedded system for heavy machinery control.
• Technical: What strategies do you use to ensure seamless deployment and testing of AI models in real-world industrial scenarios?
• Situational: Imagine an AI model running on an embedded system experiences intermittent performance drops under load. How would you investigate and address this issue?
• Situational: Suppose cross-functional teams disagree on hardware-software integration priorities. How would you help reach a consensus while keeping the project on track?
• Situational: If you were given a project to develop perception software for farming machinery but encountered incomplete hardware specifications, how would you proceed?
• Company Fit: Why are you interested in joining Actalent as an embedded software engineer, especially in the context of consulting for advanced industrial automation?
• Company Fit: How do your professional values and career goals align with Actalent’s mission to accelerate engineering innovation for its clients?
• Company Fit: Actalent emphasizes collaboration and delivering client value. How do you balance technical rigor with client and team communication in your work?
• Questions for Interviewer: Can you describe the typical project team structure for an embedded software engineer at Actalent working remotely on autonomous machinery?
• Questions for Interviewer: What are the biggest technical and organizational challenges Actalent’s embedded software engineers currently face in these farming automation projects?
• Questions for Interviewer: How does Actalent support continuous learning and professional growth for consultants, especially in fast-evolving fields like embedded AI and robotics?