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Zoox

Electrical Network Integration Engineer

Foster City, CA
USD 162k - 266k
C++ Machine Learning Matlab Python
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Description
The Zoox Vehicle Electrical Architecture Team develops hardware, power distribution, network topologies, and infrastructure enablers to create an optimal autonomous vehicle architecture. The team collaborates openly and takes supportive risks. You will help develop vehicle serial data network topologies, best practices, and validation procedures for Zoox's ground-up autonomous vehicles. 

At Zoox, we are dedicated to delivering the best product for our riders and exceeding industry standards in all areas. As a part of our team, you will have the opportunity to be one of the key stakeholders of a group of architects who share the same vision and work towards developing the next generation of autonomous vehicles. Join us if you want to make a difference in the world of mobility and be a part of something truly groundbreaking.

In this role, you will:

  • Own network design definition and implementation of the necessary network signals into the architecture documents.
  • Develop and maintain network utilization metrics as well technology road map  based on company product and features implementation plans.
  • Collaborate with part owners, firmware developers and system engineers to determine the optimal functional messages allocation across the vehicle serial data network channels 
  • Collaborate with functional safety and functional safety groups to develop network architecture infrastructure enablers to support fail-operational and fail-safe requirements .

Qualifications

  • BS, MS, or Ph.D. degree in electrical engineering or equivalent experience
  • At least 10 years of experience in automotive network architecture  design delivering automotive electrical system-level communication network documents
  • Knowledge of  automotive communication protocols (CAN, CAN FD, MOST, FlexRay, Ethernet) and serialization 
  • Experience in MATLAB, Python, C++, or equivalent tools for timing and bus utilization analysis
  • Knowledge related to ISO 16262 and enablers at the network design level.
  • Experience in Classic and AUTOSAR platforms across system design, software design, network design, embedded software implementation, and ECU integration level

Bonus Qualifications

  • Experience  in Adaptive AUTOSAR 
  • Experience with Vector Tools (CANalyzer/CANOE/ Prevision.)
  • Experience in Diagnostics specification (ISO 14229 series).
  • Experience in Network Physical  HW  validation & certification
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $162,000 to $266,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
Zoox
Zoox
Autonomous Vehicles Machine Learning Robotics Transportation

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