Applied Intuition
Applied Intuition is a vehicle intelligence company that accelerates the global adoption of safe, AI‑driven machines. Founded in 2017 and now valued at $15 billion following its Series F funding round, the company delivers the Vehicle OS, Self‑Driving System, and toolchain that help customers build intelligent vehicles and shorten time to market. Its solutions are trusted by 18 of the top 20 global automakers and major programs across the Department of Defense. Applied Intuition serves the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with additional offices worldwide.
About the role We are looking for a software engineer with expertise in motion planning for autonomous vehicles or mobile robots. Your responsibilities will include designing and developing high‑performance planning modules that provide traversable, kinematically‑feasible trajectories for vehicles in on‑road autonomy use cases. The modules must be state‑of‑the‑art, meet stringent timing constraints, and generalize across diverse operational design domains (ODDs).
At Applied Intuition, you will: Develop state‑of‑the‑art on‑road behavior software and leverage ML components to achieve highway and city driving Design and implement planning modules that can be deployed on on‑road vehicles for autonomous navigation Leverage lightweight map data (SD maps) and perception system outputs to determine driving costs for planning Deploy your planning modules to production hardware and test on the road Collaborate with customers’ engineers and manage customer relationships
We're looking for someone who has: A passion for tackling challenging planning problems involving a wide array of vehicles 3+ years of experience building production software using modern software practices Experience developing planning solutions for autonomous vehicles or other mobile robots Fluency in writing modern, high‑performance C++ code Enthusiasm for coming up with practical solutions to cutting‑edge challenges in a fast‑paced environment, and building toward an end‑to‑end strategy
Nice to have: A MSc or PhD in computer science or applied mathematics with coursework or research experience in planning Experience writing safety‑critical C++ software Hands‑on experience developing and testing planning algorithms on an autonomous vehicle
Compensation Compensation for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. The base salary range for this full‑time position in the listed location is $125,000 – $222,000 USD annually.
Equal Employment Opportunity Applied Intuition is an equal‑opportunity employer and federal contractor or subcontractor. We comply with 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a). Discrimination against qualified individuals based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status or disability status is prohibited. This includes all inclusive affirmative actions mandated by Executive Order 13496. All applicants are treated fairly and without bias.
#J-18808-Ljbffr
About the role We are looking for a software engineer with expertise in motion planning for autonomous vehicles or mobile robots. Your responsibilities will include designing and developing high‑performance planning modules that provide traversable, kinematically‑feasible trajectories for vehicles in on‑road autonomy use cases. The modules must be state‑of‑the‑art, meet stringent timing constraints, and generalize across diverse operational design domains (ODDs).
At Applied Intuition, you will: Develop state‑of‑the‑art on‑road behavior software and leverage ML components to achieve highway and city driving Design and implement planning modules that can be deployed on on‑road vehicles for autonomous navigation Leverage lightweight map data (SD maps) and perception system outputs to determine driving costs for planning Deploy your planning modules to production hardware and test on the road Collaborate with customers’ engineers and manage customer relationships
We're looking for someone who has: A passion for tackling challenging planning problems involving a wide array of vehicles 3+ years of experience building production software using modern software practices Experience developing planning solutions for autonomous vehicles or other mobile robots Fluency in writing modern, high‑performance C++ code Enthusiasm for coming up with practical solutions to cutting‑edge challenges in a fast‑paced environment, and building toward an end‑to‑end strategy
Nice to have: A MSc or PhD in computer science or applied mathematics with coursework or research experience in planning Experience writing safety‑critical C++ software Hands‑on experience developing and testing planning algorithms on an autonomous vehicle
Compensation Compensation for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. The base salary range for this full‑time position in the listed location is $125,000 – $222,000 USD annually.
Equal Employment Opportunity Applied Intuition is an equal‑opportunity employer and federal contractor or subcontractor. We comply with 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a). Discrimination against qualified individuals based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status or disability status is prohibited. This includes all inclusive affirmative actions mandated by Executive Order 13496. All applicants are treated fairly and without bias.
#J-18808-Ljbffr