Software Systems Engineer - Middleware

Posted 14 Days Ago
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Foster City, CA
Hybrid
165K-252K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Lead systems engineering activities for safety-critical software in self-driving vehicles and define architecture for middleware applications.
Summary Generated by Built In
The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.

In this role, you will help define features and capabilities of middleware components that help achieve safety goals. Your collaboration with middleware engineers to execute processes such as those specified in ISO26262 will allow us to achieve functional safety goals of High ASIL SW functionality. 

In this role, you will

  • Lead various systems engineering activities that are essential for a successful launch of safety-critical software on a self-driving vehicle
  • Help define architecture of how middleware applications fulfill system level (or vehicle level) needs in our robot taxi.
  • Define processes that leverage middleware’s capabilities, and help build a strong and future-proof architecture for the robotaxi as we expand to newer and larger markets.
  • Assist in investigating new HW and SW and suppliers for future generations of our compute platform.
  • Collaborate with the safety team to identify safety requirements, explore redundancy options, and develop methods to ensure system-wide safety goals are met

Qualifications

  • B.S./M.S./PhD in Engineering, Physics or relevant field and 5+ years of experience
  • Experience in a Systems Engineering role
  • Technical understanding of the physics and fundamental technologies used in automotive Camera, LiDAR, and Radar systems
  • Experience in negotiating, writing and managing requirements
  • Cross-functional collaboration to determine system requirements, through a combination of field testing or analysis and experience in presenting results

Bonus Qualifications

  • Experience on Sensors for Autonomous Vehicles (Camera, LiDAR, Radar)
  • MATLAB, Python, Optis (or comparable integrated raytracing tool)
  • Experience in Sensors V&V
  • Experience on Safety-Critical Systems

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.

Follow us on LinkedIn

Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

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.

Top Skills

Matlab
Optis
Python
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The Company
HQ: Foster City, CA
2,500 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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