Senior Software Engineer - Autonomy Safety Metric

Zoox; Foster City (CA); In loco; USD 239.000 - 280.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

RSUs

Stock Appreciation Rights

Paid time off

Sign-on bonus may be offered

Descrizione del lavoro

Zoox is seeking an experienced engineer for the Behavior Evaluation team to scale data pipelines that quantify safety metrics for the autonomous driving stack. You will own end-to-end data processing, from sampling and weighting to weekly geofence estimates, with a focus on reliability and auditability.

The role emphasizes production Python, PySpark/Spark, Pandas, and designing scalable batch pipelines integrated with Databricks and AWS. Strong CI and testing practices are essential.

Competenze

• 7–9 years of experience or 5+ years with a strong data-platform track record.
• Expert Python, with production experience in PySpark/Spark and Pandas.
• Experience designing scalable batch data pipelines: orchestration, Delta/lakehouse tables, idempotent backfills
• Solid grounding in applied statistics: sampling, weighting, estimators, confidence intervals
• Strong testing and CI habits for data code

Mansioni

• Build and maintain the Behavior Evaluation data pipelines (PySpark/zspark medallion architecture on Databricks, EMR Serverless and Airflow) that produce weekly per-geofence estimates.
• Turn the statistical method (sampling, triage weights, mileage sharing, projections) into tested, reproducible code with checks that fail loudly when the data is bad.
• Build tools that cut the manual work in each weekly run.
• Work with cross functional stakeholders so the methodology is applied consistently in code and in clearance reports.
• Help adapt to new release methodologies and new geofences.

Conoscenze

Python

PySpark

Pandas

Statistics

CI/CD

Strumenti

Databricks

AWS

Airflow

Spark

Descrizione del lavoro

We are seeking a highly skilled and experienced engineer to join the Behavior Evaluation team and play a pivotal role in measuring the safety of Zoox’s autonomous driving technology. The Behavior Evaluation is the team behind the behavioral part of Zoox’s estimate, quantifying how often the autonomy stack causes the vehicle to stop unexpectedly and how that maps to collision risk. As a member of this team, you will own and scale the pipeline behind these numbers, driving innovation in ML model scoring, sampling, and projections while making the system faster, more reliable, and easier to audit. You will work closely with a team of talented engineers and researchers in a fast paced, collaborative environment as Zoox expands to more cities and software releases.

In this role, you will:

• Build and maintain the Behavior Evaluation data pipelines (PySpark/zspark medallion architecture on Databricks, EMR Serverless and Airflow) that produce weekly per-geofence estimates.
• Turn the statistical method (sampling, triage weights, mileage sharing, projections) into tested, reproducible code with checks that fail loudly when the data is bad.
• Build tools that cut the manual work in each weekly run.
• Work with cross functional stakeholders so the methodology is applied consistently in code and in clearance reports.
• Help adapt to new release methodologies and new geofences.

Qualifications:

• 7 - 9 Years of experience or 5+ years with a strong data-platform track record
• Expert Python, with production experience in PySpark/Spark and Pandas
• Experience designing scalable batch data pipelines: orchestration, Delta/lakehouse tables, idempotent backfills
• Solid grounding in applied statistics: sampling, weighting, estimators, confidence intervals
• Strong testing and CI habits for data code

Bonus Qualifications:

• Experience with autonomous-vehicle simulation, safety metrics or triage workflows
• Experience putting ML models into production in a data pipeline
• Experience with Databricks and AWS (EMR Serverless, S3)

$239,000 - $280,000 a year

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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 [e-mail] 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.