Full-Time

Staff Hardware Reliability Engineer

Compute

Confirmed live in the last 24 hours

Aurora Innovation

Aurora Innovation

1,001-5,000 employees

Develops self-driving technology for vehicles

Robotics & Automation
Automotive & Transportation

Compensation Overview

$181k - $290kAnnually

+ Bonus + Equity Compensation

Senior

Mountain View, CA, USA

Category
DevOps & Infrastructure
Cloud Engineering
Required Skills
Python
Data Analysis
Requirements
  • Bachelor’s or Master’s degree in Electrical Engineering (EE) or a related field.
  • Proven experience (5+ years) in hardware reliability engineering, preferably in the automotive or autonomous vehicle industry.
  • Strong understanding of hardware design principles, reliability testing methodologies, and failure analysis techniques.
  • Experience working with firmware development teams and a solid understanding of firmware and hardware interactions.
  • Demonstrated ability to lead root cause analysis and corrective action processes for hardware reliability issues.
  • Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
  • Knowledge of automotive safety standards and regulations (e.g., ISO 26262, ASPICE) is a plus.
  • Proficiency in data analysis tools and software (e.g., Python, JMP…) and familiarity with reliability prediction and assurance tools (e.g., Weibull++, dFMEA)
Responsibilities
  • Lead and oversee hardware reliability testing and validation for automotive computers used in autonomous vehicles.
  • Collaborate with cross-functional teams, including firmware, mechanical, software, and manufacturing teams, to ensure overall system reliability.
  • Develop, implement, and monitor reliability testing protocols, including stress tests, environmental tests, and failure mode analysis.
  • Analyze failure data to identify root causes of hardware reliability issues and implement corrective actions.
  • Provide guidance and support to firmware teams to ensure hardware and firmware integration maintains high reliability standards.
  • Create detailed reports on reliability testing, findings, and corrective actions and present them to stakeholders.
  • Drive continuous improvement in hardware design and development processes to meet automotive reliability standards.

Aurora Innovation develops self-driving technology, with its main product, the Aurora Driver, designed to be integrated into various vehicles for autonomous transportation of people and goods. The company collaborates with logistics providers and vehicle manufacturers to enhance safety and efficiency in transportation. Aurora's unique sensor technology, including FirstLight Lidar, sets it apart from competitors, while its business model focuses on licensing the Aurora Driver as a service. The goal is to make transportation safer and more accessible for everyone.

Company Stage

IPO

Total Funding

$2.6B

Headquarters

Mountain View, California

Founded

2017

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-1%

2 year growth

9%
Simplify Jobs

Simplify's Take

What believers are saying

  • Aurora's partnerships with industry giants like Volvo and Continental highlight its strong market position and potential for large-scale deployment.
  • The company's focus on safety and rigorous testing protocols make it a trusted name in the autonomous vehicle sector.
  • Aurora's planned launch of fully driverless trucks in Texas by the end of the year indicates imminent commercial success and market penetration.

What critics are saying

  • The autonomous vehicle market is highly competitive, with major players like Mobileye and Gatik posing significant challenges.
  • Delays in regulatory approvals or technological setbacks could hinder Aurora's commercialization timeline.

What makes Aurora Innovation unique

  • Aurora's FirstLight Lidar technology offers superior range and speed in detecting surroundings, setting it apart from competitors.
  • The Virtual Testing Suite allows for extensive off-road testing, ensuring robustness and reliability before deployment, a feature not commonly found in the industry.
  • Aurora's collaborative approach with logistics providers, ridesharing networks, and vehicle manufacturers accelerates the commercialization of self-driving technology, unlike competitors who may operate in silos.

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Benefits

Medical, Vision, Life Insurance

Paid leave

Vacation, Holidays & Sick Time

LinkedIn Learning

Aurora Academy

401(k)

Commuter Benefits

Flexible Spending Account

Onsite Food

PerkSpot

Working from Home Support

Emotional & Physical Wellness

Employee Assistance Program