Senior Software Engineer (Controls, Simulation)

• Kodiak is recruiting an experienced Software Engineer who is passionate about motion control and simulation to join our Controls team. The role offers the opportunity to work on both vehicle modeling and control theory, including deep mathematical modeling
• This is an opportunity to model linear and nonlinear vehicle dynamics, in order to establish high fidelity between simulation results and on-road data. Kodiak operates multiple vehicle platforms in a wide range of operating domains, which surface many interesting modeling and simulation problems
• This role combines both mathematical innovation and software engineering expertise to expand the frontier in autonomy simulation
• Simulate articulated truck motion in response to steering, accelerator, and brake inputs
• Model vehicular motion, including the interaction between coupled tractor and trailers
• Incorporate environmental effects, such as incline, road bank, rolling resistance, and wind
• Characterize non-linear effects, such as gear shifting and electronic stability control
• Analyze simulation fidelity by comparing simulated and real-world performance
• Evaluate controller performance across multi-dimensional assessments
• Build a safety case for driverless operation

Benefits

• Remote-friendly work environment
• 401k
• Generous PTO policy
• Life insurance
• Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
• Family-friendly company events
• Dog-friendly office
• Employee-driven fitness classes
• Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
• Free EV charging
• Trivia and board game nights

• A focus on vehicle safety
• Strong C++ programming skill
• 4+ years controls development experience for automotive robots
• Interest in theoretical and empirical vehicle modeling
• Facility with mechanical physics
• Enthusiasm for increasing the scope and fidelity of vehicular simulation
• Simulated automotive robots, especially controls and the robotic platform
• Experience with driverless autonomous vehicles
• Familiarity with automotive safety cases, processes, and standards
• Strength in statistical analysis and evaluation