Vehicle Systems Stability Engineer

5 days ago


Foster City CA United States CV Library Full time

Job Title: Vehicle Systems Stability Engineer

Duration: 6 months

Location: Foster City, CA

Pay Range: $80.00- $90.00/hr

TOP 3 SKILLS:

Experience designing or testing vehicle systems (electrical and/or mechanical)

Experience with electrical and vehicle network architecture (CAN and LIN)

Experience with hands-on electrical troubleshooting (DMM, Oscilloscope, electrical schematics, Saleae Logic Analyzer, HIL sytems, etc.)

Experience with CAN, LIN and A/D measurement system setup (Vector, Memorator, Inca, Intrepid, dSpace, IPEtronic, CSM, Deweysoft, etc.)

Job Description:

The Vehicle Electrical Systems Integration team delivers a validated vehicle including firmware (FW) and hardware (HW) packages to our robot platform. The team is also the first stop for triaging, identifying, and investigating CAN, LIN, and electrical issues in the field and during vehicle bring-up.

As a Vehicle Systems Stability Engineer, you will be on the frontlines keeping our robots healthy. You will be responsible for the initial review of issues related to vehicle domains (ECUs, chassis, electric powertrain, HV charging, thermal system, brakes, steering, suspension, and lighting as examples). This issue identification is enabled by reviewing vehicle level CAN logs, investigating the issue, providing insight into the potential root cause, and then working with the responsible team to deliver a solution. You will also drive teams to identify actions that could prevent an issue from occurring again. This is a highly cross-functional role as you will be working with various HW and FW engineering teams, operations teams, and the vehicle and program management office.

We are looking for an engineer that is passionate about electric vehicle architecture, autonomous driving, has strong problem-solving skills, and has a commitment to deliver on time.

Responsibilities

Provide the initial issue triage and system analysis of field and bring-up issues for RnD fleet

Review the CAN log data, investigate to determine the probable responsible system(s) and if possible the root cause

Provide enough evidence to justify next steps in issue resolution

Drive for decisions on interim containment and permanent corrective actions, as appropriate

Document your work in the applicable JIRA tickets and methods in Confluence

Work with issue owner to identify how this issue is prevented from occurring again

Work with the module or component owner and suppliers, as needed to communicate your findings to drive root cause investigations

Report on issues identified, next steps, help needed and flag risks to program with appropriate mitigation plans. This includes supporting and reporting at working level and leadership level meetings

Identify potential improvements in system behavior and diagnostics

Qualifications

BS or equivalent in an engineering discipline, EE or Mechatronics

Experience: 5+ years in automotive engineering

Experience designing or testing vehicle systems (electrical and/or mechanical)

Excellent problem solving and troubleshooting skills

Ability to quickly get up to speed on multiple complex systems

Experience with electrical and vehicle network architecture (CAN and LIN)

Experience with hands-on electrical troubleshooting (DMM, Oscilloscope, electrical schematics, Saleae Logic Analyzer, HIL sytems, etc.)

Experience with CAN, LIN and A/D measurement system setup (Vector, Memorator, Inca, Intrepid, dSpace, IPEtronic, CSM, Deweysoft, etc.)

Knowledge of vehicle engineering or software validation process, 8D, FMEA, problem-solving methods

Excellent writing skills, organization, verbal communication, leadership skills, and deadline-driven

Track record in managing multiple cross-functional projects simultaneously

Experience with JIRA and Confluence

This role will be 100% on-site at various Zoox locations in the Bay Area, but primarily in Foster City

Bonus Qualifications

Python programming and building automation tools

Grafana and other data analysis toolsets

Diagnostics development

IND123

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