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Software Engineer - Simulation Workload Orchestration

California, United States (Hybrid)

Software Engineer - Simulation Workload Orchestration

1 Month ago • 5 Years + • Artificial Intelligence

About the job

5 skills required for this role

Test your skills to join the top 1% applicants for this job

spark

aws

python

foundation

innovation

Job Description

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Come join us at Zoox to participate in the transportation revolution with building self-driving vehicles! Our mission is to make personal transportation safer, cleaner, and more enjoyable for everyone. Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals.

We are looking for experienced developers (5+ years experience) to build a massively scalable pipeline for orchestrating the execution of simulations and processing of the results. This mission critical pipeline will be highly parallel, manage various stages of execution, ensure correct data flow and coordinate the processing of the results. This is an ideal opportunity for an innovative Software Engineer to build the foundation and the pipeline that can exponentially scale up the execution of the simulations and at the same time meet the diverse needs of processing the results.

In this role, you will:

Design the simulation execution pipeline for exponential growth, with efficient resource utilization
Integrate with other systems via message queues
Collaborate with internal teams for requirements and API design
Lead/own development of highly scalable features
Communicate effectively with internal customers
Ensure correctness and 24x7 stability of the entire system

Qualifications

Bachelor’s degree in Computer Science or related field
Excellent Python skills
Experience in designing and building complex data processing systems at scale with performance tuning, and with with data processing frameworks (e.g. Spark, MapReduce, AWS EMR)
Experience in operating a workload/workflow management system (e.g. Ray.io, Slurm, Apache Airflow/Beam/Flink) and developing distributed systems using asynchronous communication (e.g. Kafka, Kinesis)
5+ years of experience in a related field

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $160,000 - $225,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

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.

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