Systems Engineer - Perception

Zoox, Foster City, CA

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Duration: Full-Time

As a systems engineer for perception, you will be responsible for collaborating with world-class algorithm engineers to design cutting-edge perception systems. You will be bridging the gap between systems engineering and state-of-the-art machine learning approaches by designing robust system architecture, building requirements for software components, building up scalable metrics/tools and leading the verification and validation efforts at various levels of abstraction. In addition to the perception engineers, you will be working in close collaboration with our sensor hardware development teams. At Zoox, we take systems engineering seriously and know that your efforts will be critical for delivering a driverless robo taxi service at scale.

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

Vaccine Mandate

Employees working in this position will be required to be fully vaccinated against the COVID-19 virus. An applicant is considered fully vaccinated two weeks after their second dose in a 2-dose series, such as the Pfizer or Moderna vaccines, or two weeks after a single-dose vaccine, such as Johnson & Johnson’s Janssen vaccine. Applicants will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal and local laws.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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.