Engineering Manager, Safety Large Scale Evaluation

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2 days old

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Our team is working to ensure Zoox’s hardware and software are safe for operation in the real world through the use of simulation. As part of this process, the team is responsible for designing and running large numbers of simulations to ensure Zoox’s hardware and software operate as expected.

In this role, you will help us scale to meet future milestones by automating complex processes, architecting systems to be robust, efficient and cost-effective, steering design and implementation decisions, and helping the team identify future system-level limitations. You should expect to work with cross-functional partners across simulation, infrastructure,  planning and perception among others.

You will be responsible for producing critical metrics that drive company-level decisions for the deployment of our driverless robots on public roads.

In this role, you will:

  • Lead a sub-team of up to four direct reports
  • Have a range of skills, including being a strong software developer, an effective communicator, and a thoughtful mentor
  • Dive into large, complex systems that are already in place, as well as help plan and build new systems from scratch as needed
  • Be highly cross-functional and understand  how interfacing systems work to a level necessary to deliver our team’s responsibilities
  • Clearly communicate how our team’s systems work to cross-team technical and non-technical stakeholders
  • Be responsible for helping deliver mission-critical metrics to the executive team and drive major roadmap decisions

    • Qualifications:

  • Fluency in Python or equivalent language
  • Bachelor’s or Master’s Degree in computer science, applied mathematics, engineering, or other quantitative area
  • 8+ years of industry experience in software engineering or data engineering
  • Experience with directly leading and supervising a small technical team
  • Experience building entire systems from scratch or meaningfully contributing to existing large-scale systems
  • Collaborative team player with strong written and in-person communication skills

    • Bonus Qualifications:

  • Master’s or PhD Degree in a quantitative area
  • Experience with cloud and infra technologies (AWS, S3, SQL, Databricks, Airflow) and coding best practices
  • Experience with quantitative analysis of complex systems, probability and statistics
    • Compensation
    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 $204,000 to $294,000. 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.
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