Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about.

Since our 2013 founding in San Francisco, we have hired over 1,600 talented individuals and opened additional offices in greater Seattle, Pasadena, Phoenix and Munich. We have raised $10B from General Motors, Honda, Microsoft, SoftBank, T. Rowe Price, Walmart and others. Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale, building all-electric, zero-emission, self-driving vehicles that will help save lives, reimagine cities, reduce carbon pollution, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings.

Together, we believe our world-class partners, deep resources, and technology approach of testing in a complex urban environment will help shave years off of our timeline to launch all-electric, self-driving vehicles at scale.

If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving vehicles, join us. getcruise.com/careers.

Carnegie Mellon University

Norwegian University of Science and Technology

Dissertation title:  Dual control: optimal, adaptive decision-making under uncertainty.

Norwegian University of Science and Technology (NTNU)

Senior Software Engineer, Maneuver Planning

Technical specialist - motion planning and control, autonomous driving

- Research and develop algorithms for optimal control and learning under substantial uncertainty. 
- Research focus includes predictive control with risk reduction and guaranteed safety, active learning, and real-time Bayesian decision systems. 
- Current projects include robust trajectory planning with guaranteed safe contingencies and algorithms for active intention estimation and fault diagnosis in dynamic systems.

Postdoctoral Scholar

Research on optimal control and decision-making under uncertainty.

PhD Candidate

Prepared and delivered three weekly lectures, wrote new course material, organized the lab project, and coauthored new course notes (linked below).

Instructor: TTK4135 Optimization and Control

Visiting Researcher

Annual visits to Prof. Erik Ydstie's research group in the period 2011 – 2014.

Embedded C programming for System-On-Chips.