Part-Time Embedded Engineering Mentor
5 days ago
Description
• Who are we, you ask? • Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren’t adequately prepared. That’s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as “the everything store” for career transitions and interview skill development. • How do we do that, you ask? • We have a structured approach to interview success, which includes: • Career Accelerator Course • Comprehensive end-to-end courses and platform • A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix • A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals • What’s more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography. • Responsibilities: • Deliver sessions as an instructor for assigned topics. • Constantly improve the session flow and delivery by working with other instructors and subject matter experts. • Onboard and train freelance/part time instructors and coaches • Develop world-class content for online courses on embedded software
Requirements
• Minimum 4 years of experience as an embedded software engineer. • Embedded Software Engineer working in FAANG • Expertise in C/C++Experience on embedded devices • Expertise in Functional design of embedded systems • Experience in Developing embedded systems. • Knowledge of assembly language programming. • Good communication skills • Graduates (B Tech/ BE) from Reputed / Tier 1 engineering colleges with teaching experience/ Master in Higher Education/ Technology, Education & Innovation are preferred. • High levels of empathy to understand the challenges faced by students and willingness to help them out. • Should be willing to work on weekends/evenings and be available as per US time zone
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