๐ yesterday
Develop and support integrated analog and digital EDA environments, building reliable CAD flows, enabling design teams, and improving tools and methodologies across advanced-node IC design.
Senior Software Engineer - Autonomy Safety Metric
๐ 2 days ago
PythonPysparkSparkPandas
๐ Description
- Build and maintain data pipelines that produce weekly per-geofence safety estimates.
- Implement sampling, triage weights, mileage sharing, and projections as tested, reproducible code with robust data checks.
- Develop tools to reduce manual work in weekly evaluation runs.
- Partner with cross-functional stakeholders to apply methodology consistently in code and clearance reports.
- Adapt the evaluation system to new release methodologies and geofences.
๐ ๏ธ Requirements
- 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
- 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)
Full job description
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 Zooxโs autonomous driving technology. The Behavior Evaluation is the team behind the behavioral part of Zooxโs 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.
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.
ย
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.
ย
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.
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)
Similar jobs
Search more Software Engineer jobs
Member of Technical Staff (Web Access Engineer, Crawler)
๐ yesterday
Perplexity๐ฅ 1001 - 5000 employees๐ข Software Development๐ง AI-native
๐ yesterday
Build and improve web fetching and rendering systems for AI-powered search, diagnosing network and page-loading failures and delivering production fixes that increase content quality and reliability at scale.
๐ 2 days ago
Own and evolve core personalization services, designing resilient, secure, cost-efficient cloud systems and scalable data pipelines while shaping architecture, improving operations, and mentoring engineers.
๐ yesterday
Build and operate card and account lifecycle services, design developer-focused APIs, and improve resilient payment systems spanning card issuance, digital wallets, tokenization, and KYB/KYC.
AI SWE / Agentic Handover Senior Engineer for T Cloud Public (m/f/d)
๐ yesterday
Deutsche Telekom IT Solutions Slovakia๐ฅ 1001 - 5000 employees๐ข Information Technology And Services
๐ yesterday
Use AI-assisted engineering to analyse large codebases, map an OpenStack-derived cloud platform, diagnose builds, and create technical handover artefacts that support due diligence and transition readiness.