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Responsibilities
- Develop perception and prediction system architectures to meet product requirements and achieve safety targets
- Work cross functionally to articulate module level requirements and define associated test plans
- Build large-scale validation and metrics systems using real world structured testing, state-of-the-art simulations, distributed computing, and modern data analysis technologies
- Automate processes into our Continuous Integration pipeline to reduce software and hardware iteration time.
Qualifications
- MS or higher degree in computer science, robotics, electrical engineering, or systems engineering
- Experience with sensors such as cameras, LiDARs, Radars, IMU, GPS and their state estimation applications.
- Strong analytical skills with Python, Matlab, C++, or Spark
- 2+ years of relevant work experience in robotics, aerospace, or automotive engineering
- Passionate about the design, verification and validation of highly complex SW/HW systems
Bonus Qualifications
- Experience with machine learning and deep learning
- Experience in modeling, statistics and probability theory
- Experience with developing functional requirements driven software components
- Familiar with formal verification & validation techniques
- Experience with ISO 21448, ISO26262, ASIL, DO-178B/C, etc.
- Experience with a large database management tool, such as Redshift in SQL, databricks.
- Consistent track records of strong collaboration skills and attention to details in past projects
About Zoox
About us Zoox is a Menlo Park, CA-based robotics company founded by Tim Kentley-Klay and Dr. Jesse Levinson to create autonomous mobility. Operating at the intersection of design, computer science, and electro-mechanical engineering, Zoox is a multidisciplinary team working to imagine and build an advanced mobility experience that will support the future needs of urban mobility for both people and the environment.
Want to learn more about Zoox? Visit Zoox's website.
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