Manager, Simulation Abstraction Layer
Zoox
Foster City, CA, USA
Posted on Jun 8, 2023
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 mapping, simulation, 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:
- Have a range of skills including being a strong 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 at a high-level how external systems work
- Clearly communicate how our team’s systems work to cross-team technical and non-technical stakeholders
- Have the opportunity to lead a sub-team of up to three direct reports
- Be responsible for helping deliver mission-critical metrics to the executive team to drive major roadmap decisions
Qualifications
- Fluency in Python
- 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 building entire systems from scratch or meaningfully contributing to existing large-scale system
- 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.
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.