Scenario Engineer, Mining Autonomy at Applied Intuition

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

150000.0

Posted On

13 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scenario Creation, Simulation Testing, Autonomous Vehicles, Safety Verification, Validation Process, Data Visualization, Analytical Thinking, Written Communication, Verbal Communication, Python

Industry

Software Development

Description

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role We are looking for a Scenario Engineer who will drive the creation of simulation test scenarios used in Applied Intuition's suite of tools. In this technical and operational role, you will be responsible for developing relevant scenarios to add to our library, maintaining and curating existing scenario sets, and perfecting the application of advanced features and metrics within scenarios. This is a high visibility and collaborative role, where you will partner closely with cross-functional stakeholders in Product, Engineering, and Sales. At Applied Intuition, you will: Design scenarios across Mining Autonomy domains Define and implement safety and comfort performance requirements for scenarios Create data visualizations and reports for understanding AV performance and coverage Work closely with our product teams while using and providing feedback on core simulation functionality and usability Support customer teams in defining and building scenario libraries relevant for their specific operational design domain We're looking for someone who has: A Bachelor's degree from a 4-year university Experience in scenario creation and simulation testing for autonomous vehicles Understanding of the safety verification and validation process for vehicle software Proven ability to be analytical and detail-oriented Excellent written and verbal communication skills Passion for developing comprehensive safety arguments for autonomous systems Nice to have: Ability to code in a scripting language (e.g. Python) to automate workflows Compensation at Applied Intuition 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, 401k 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. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $90,000 - $150,000 USD annually. 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. 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.

Responsibilities

Design and develop simulation test scenarios for Mining Autonomy domains to build a comprehensive scenario library. Collaborate with cross-functional teams to define safety requirements and provide feedback on simulation functionality.