Autonomous AI & Control Systems Engineer
IQ Vector AI
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This role on the market
181 open autonomous roles across 34 companies are on ApplySarthi right now, most of them in Bengaluru (8), Hyderabad (1).
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- Senior Machine Learning Engineer, Perception - Autonomous DrivingNvidia
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What autonomous roles keep asking for: C++ (54%), Python (50%), Deep learning (28%), Machine learning (23%), PyTorch (19%), Linux (18%), Computer vision (17%), LLMs (14%) — counted across their open postings here.
IQ Vector AI has 2 open roles listed here.
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for autonomous roles keep coming back to C++, Python, Deep learning, Machine learning. Practise those questions before you sit with IQ Vector AI.
Questions you are likely to be asked
- Why do you want to join IQ Vector AI?
- What is your experience with B2B? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Autonomous AI & Control Systems Engineer at IQ Vector AI interview free →About the Role IQ Vector AI is hiring bright early-career talents (BSc, MSc, and PhD students or recent graduates in Applied Mathematics, Control Theory, Cybernetics, Physics, Computer Science, or Data Science) to join our core team and global B2B technology partners. No prior commercial experience is required — we value strong university fundamentals in mathematics and algorithms, fast learning, and intellectual curiosity over years of industry experience. You will work directly with the CEO and founders with zero corporate hierarchy, learning how to apply classic mathematical concepts (feedback loops, dynamic programming, and Markov processes) to orchestrate and govern swarms of autonomous AI agents while rigorously verifying AI-generated code. Responsibilities - Work side-by-side with the CEO and founding team on real-world B2B AI engineering and R&D challenges. - Apply university fundamentals in feedback control, dynamic programming, and Markov Decision Processes (MDPs) to coordinate multi-agent AI workflows and keep them reliable. - Build automated verification, testing, and reward pipelines to catch errors and prevent reasoning drift in AI-generated outputs. - Write, review, and validate clean code and data pipelines in Python and SQL using modern AI coding tools. Requirements - Strong university foundation in Applied Mathematics, Control Theory, Cybernetics, Physics, Algorithms, or Computer Science (advanced students and recent graduates welcome — no commercial experience required). - Solid coursework or theoretical understanding of dynamic programming, optimization, probability, Markov chains/MDPs, or feedback control systems. - Good practical coding skills in Python and SQL, and enthusiasm for using modern AI and multi-agent coding tools daily. - Availability for remote part-time collaboration (~20 hours/week, min. 4 hours/day, 6+ months), flexible around university lectures and exams. - Good working English. What We Offer - Direct mentorship and daily collaboration with the CEO and serial technology founders — we teach you how to apply your mathematical foundation to production AI systems from day one. - Pure commercial B2B and R&D projects with competitive international compensation and flexible remote hours tailored to your university schedule. Application Process: Please complete our candidate form at https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8
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Listed on wellfound · posted 2026-11-13. ApplySarthi collects openings and links to application pages; the role is advertised by IQ Vector AI, not by us.