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 full-time 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. This in-office expectation does not apply to contractor positions

About the role

We are looking for a System Safety Engineer with automotive background in ADAS and/or autonomous driving. This engineer will define and manage the safety architecture and requirements for both autonomy software and hardware. This engineer will play a critical role in shaping the technical direction of this project in the automotive industry space.

At Applied Intuition, you will

Derive and manage safety concepts, requirements and specifications for autonomy software and hardware for L4 SDS product line

Lead efforts for development of safety architecture

Perform safety analysis such as FMEA, FTA, STPA and derive relevant safety work and products

Work with verification and validation to ensure requirements are being verified throughout the development process

Contribute to the overall safety case of the final product

Promote a culture of safety within the organization and provide training and guidance on safety practices

Monitor and report on safety performance, and implement continuous improvement measures

Provide clear goals for all areas of a project and develop steps to oversee their timely execution so that requirements can be met

We're looking for someone who has

3+ years of experience in a System Safety Engineering role or Functional Safety Engineering role

MS/BS degree in Computer Science, Electrical, Mechanical, Systems Engineering or equivalent required

Expertise in mechanical, electrical, and software engineering

Experience with ADAS, autonomous systems and robotics

Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, ISO/DPAS 8800, UL4600 and ongoing activities with regards to ML and safety

Experience with driving safety requirements across the V model from architecture to requirements generation, implementation and verification and validation

Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables

Nice to have

Prior work in either autonomous vehicles or ADAS

Understanding of metrics and how to tie evidence to a safety case

Project management and leadership experience in the AV industry

Experience in the AV and robotics fields

Experience with the safety of ML systems

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.