Reliability Engineering Coordinator

Pittsburgh, PA and Miami, FL

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Argo AI
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Posted 2 weeks ago

Who we are:

Argo AI is in the business of building self-driving technology you can trust. With experienced leaders in the field and collaborative partnerships with some of the world’s largest automakers, we’re building self-driving technology that is engineered to scale globally and transform mobility for millions. 

Talented individuals join our team because they share our purpose to make it safe, easy, and enjoyable for everyone to get around cities. We aspire to impact key industries that move people and goods, from ride hailing to deliveries.

Meet the team:

AVS (Autonomous Vehicle System) Operations’ essential function at Argo is to safely execute the test and road operations initiatives set forth by our engineering team. AVS Operations consists of a team of experts who understand Argo’s underlying vehicle technology and programs. The team then uses that information to effectively manage efforts to meet our mileage and performance goals. These programs will provide detailed feedback to our engineering team on how our vehicles are performing. 

The Reliability Engineering Team is responsible for ensuring the Autonomous Vehicle and various Supporting Software Systems are functioning properly and at maximum efficiency. This includes working with our discipline and responsible engineers to ensure the vehicle platform, hardware components, communication networks, data management systems, and software product suites are continually working together to deliver a high-performance Autonomous Vehicle. The Reliability Team is instrumental in triaging reported Production Software issues as well as maximizing fleet uptime of vehicles and supporting Hardware resources at all Argo AI Vehicle Operations locations. As issues arise during any of our operations, the Reliability Engineering Team will be responsible for diagnosing, documenting, tracking, and reporting a wide variety of both Software and Hardware issues through to resolution. 

What you’ll do: 

  • Manage the day to day efforts of the Reliability Associate Team
    • Directly manage a team of Associates
    • Enforce the execution of defined processes to maximize team efficiency 
    • Assure employee shift scheduling meets our customer demand requirements
  • Develop and manage the Troubleshooting Knowledge Base moderation workflows to assure content accuracy and relevance
  • Coach and train the Associate Team to ensure deep understanding of all Knowledge Base content
  • Mentor the team on methodical approaches to real time triage and determining root cause of new issues
  • Work cross-functionally in creating and evolving the Reliability Engineering Team’s standard operating procedures to increase efficiency
  • Report metrics to Reliability Engineering and the broader Argo org highlighting team and individual Associate output
  • Work cross-functionally within Fleet Operations, Software Engineering, Hardware Engineering, and Test Operations Teams, serving them as downstream customers and collaborating to meet their requirements 
  • Cultivate and maintain a healthy, diverse work culture, and environment with a strong focus on safety by administering regular briefings with remote employees, performing continuing education classes, administering performance reviews and leading by example

What you'll need to succeed:

  • Degree in Software Engineering, Robotics Engineering, Computer Engineering, Electrical Engineering, Physics or a related field
  • 1+ years of Management experience required
  • AV or Robotics operations, support, or relevant industry experience strongly preferred 
  • Able to motivate and lead a dynamic and cross-functional team
  • Strong desire for candidates with hands-on experience that have deployed real products or platforms into the real world and intimately understand the challenges of working with complex systems and systems at scale  
  • Excellent problem solving and troubleshooting skills, including a systematic approach to determining root cause, implementing solutions, and documenting results
  • Detail oriented with good organizational skills
  • Excellent communication skills with the ability to span a large and varied workforce  
  • Strong desire to learn new skills related to technology and software
  • Proven self-starter mindset and the ability to work independently or with minimal supervision

Additional job requirements:

  • Occasional travel to remote offices and test facilities


What we offer you:

  • High-quality individual and family medical, dental, and vision insurance
  • Competitive compensation packages
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance 
  • Paid parental leave 
  • Paid medical leave
  • Unlimited vacation
  • Complimentary daily lunches, beverages, and snacks
  • Pre-tax commuter benefits
  • Monthly wellness stipend 
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Our Background:

Argo AI was founded in late 2016 by industry experts with extensive experience building robotic systems for commercial applications. Our once-small team has since grown into an over 1,000-person strong company with strategic partnerships with two of the world’s leading automakers: Ford and Volkswagen. Our self-driving system is the first with commercial deployment plans for Europe and the U.S., and thanks to an ability to tap into both automakers’ global reach, our technology platform has the largest geographic deployment potential of any self-driving technology to date. 

At Argo AI, we believe that embracing differences delivers superior results. We are an equal opportunity employer that is committed to an inclusive environment for all employees.

Job tags: High-performance Reliability engineering