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 Simulation Engineer, Autonomous Systems - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200198530 / Latpro-3757503 
Date posted: Oct-10-2020
State, Zip: California, 95014


Simulation Engineer, Autonomous Systems

Santa Clara Valley (Cupertino) , California , United States

Software and Services


Posted: Oct 9, 2020

Role Number: 200198530

Play a role in bringing autonomous systems into the real world! We are looking for talented and dedicated engineers to help develop our simulation systems that we use to develop, test and verify mobile autonomous systems.

Key Qualifications

  • C++ software engineering skills
  • Excellent computer science fundamentals, data structures and algorithms, distributed systems, concurrent programming, performance profiling
  • Bonus points for: Experience with robotics algorithms, physics modeling, 3D graphics, raytracing, discrete event simulations, computational geometry
  • Commercial software development practices including design, estimation, agile project management, code reviews, automated testing.
  • Excellent collaboration skills: demonstrated ability to work in a team.


As a member of the team you will: - Design, develop and improve our simulation technologies including: system design, feature implementation, code reviews, validation and testing. - Collaborate with world class testing, data science, and autonomy teams to deliver our organization-critical simulation platform - Work closely with simulation team managers and leads to make high-impact technical decisions about system structure and approaches

Education & Experience

M.S. or PhD in Computer Science, or another related field, and relevant professional experience as above


See job description


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