Autonomous Vehicles Software Engineer - PhD University Graduate
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Autonomous Vehicles Software Engineer - PhD University Graduate

Applied Intuition

Location: Mountain View,CA, USA

Date: 2024-11-11T21:01:39Z

Job Description:
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 delivers the AI-powered ADAS/AD toolchain, vehicle platform, and autonomy stack to help customers shorten time to market, build high-quality systems, and create next-generation consumer experiences. 18 of the top 20 global automakers trust Applied Intuition's solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. 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 an PhD new graduate Autonomous Vehicles Software Engineer with strong robotics and software expertise to design and develop the software architecture of an initial AV stack. This engineer will play a critical role in shaping the technical direction of this new project in the defense space. Learn more:
  • Expanding Applied Intuition's National Security & Defense Advisory Board
  • Army Selects Applied Intuition to Accelerate Autonomy Development for Robotic Combat Vehicle (RCV)
  • Applied Intuition Hosts Congressional Delegation at Silicon Valley HQ
At Applied Intuition, you will:
  • Map autonomous customer use cases and ODD into specific system capabilities and functional requirements
  • Enable design decisions on software architecture based on industry best practices in autonomous technology development
  • Work with domain experts to support implementation of key components of the required system from perception through controls
  • Work with customer teams to ensure that the platform under development can be deployed on target hardware
  • Guide autonomous platform verification and validation strategies to ensure system quality
We're looking for someone who has:
  • A PhD in robotics or a closely related field
  • Experience in autonomous vehicle system design including familiarity with different technologies and tradeoffs involved in selecting options
  • Experience developing and shipping AV software
  • Experience using simulation tools to support AV development
Nice to have:
  • Expertise in methods and tools for engineering design, verification and validation, or a similar related areas
  • Deep expertise with specific modules of systems (eg. perception) to effectively contribute towards building that capability
  • Experience integrating common vendors of AV technology
  • Knowledge of common production considerations including middleware and performance constraints
  • Exposure to hardware systems and design tradeoffs required to deploy software on customer platforms
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: $124,000 - $155,000 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. 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.
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