Siddharth Agarwal

I specialize in scaling comple Dex engineering teams to meet the demands of safety-critical technology — leading at the intersection of robotics, AI, and large-scale systems engineering to move cutting-edge autonomy from the lab onto public roads. I don%27t just manage products — I define strategy, align stakeholders, and drive outcomes across hardware, software, and operations, ensuring innovation becomes a tangible product that improves lives.

Career highlights:
-> Led Ford%27s Autonomous Delivery Shuttle program end-to-end, recognized by Ford CEO Jim Farley for delivering 10,000+ lbs of food to senior Detroit residents with mobility challenges.

-> Directed release of the Ford Multi-AV Seasonal Dataset, open-source AV data now used by researchers in 160+ countries.

-> Shipped Autonomous vehicle software stacks with Baidu, Domino%27s, Quantum Signals, and Mobileye across L4 programs in North America, Germany, and China,

-> Developed and presented the next-generation AV Software Architecture directly to Ford%27s then-CEO Jim Hackett and then-CTO Ken Washington — and facilitated a technical demo for Meta CEO Mark Zuckerberg

-> Hold 17 patents (US, Germany, China) and 800+ academic citations, and stay embedded in the technical community through manuscript reviews, university collaborations, and mentoring early-career robotics engineers.

What kind of companies would most benefit:
Companies building safety-critical autonomy or robotics products — from lab prototype to real-world, at-scale deployment — where the hard problems are systems integration, supplier/partner strategy, and translating deep technical work into a product executives and boards can back. Particularly strong fit for AV, robotics, and physical AI companies navigating the transition from demo to production.