About Applied Intuition

Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 18 of the top 20 global automakers rely on Applied Intuition’s solutions to shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence. Applied Intuition is headquartered in Mountain View, CA, with offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo. Learn more at https://applied.co.

Please note that we are an in-office company, which means the expectation is that you would come in to your Applied Intuition office 5 days a week.

About the role

We are looking for a software engineer with expertise in ML-first behavior prediction and planning. You will develop ML-first behavior modules that can forecast the future motions of road users and predict their interactions. You will work closely with the perception team on areas such as training data generation, and with the planning team on ML-based planner development.

At Applied Intuition, you will:

• Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms that predict the future motion of the ego agent and other road users in the scene
• Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development
• Collaborate tightly with perception and planning engineers on many cross-team initiatives

We’re looking for someone who has:

• Experience with the end-to-end development cycle of deep learning models
• Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
• 3+ years of experience building production software using modern software practices
• Fluency in C++, or fluency in Python with intermediate experience in C++

Nice to have:

• Publications in computer vision, NLP, or robotics
• Experience with driver assistance or autonomous driving systems
• Experience in evaluating and improving system-in-the-loop model performance

The salary range for this position is $65,000 USD to $400,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law. Applicants should be aware that for external-facing roles that involve close contact with Company employees or other third parties on the Company's premises, accommodations that involve remaining unvaccinated against COVID-19 may not be deemed reasonable. The Company will engage in the interactive process on an individualized basis taking into account the particular position.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.