Senior Data Analysis Engineer, AD Metrics - Autonomous Vehicles

Nvidia

Actively hiring
Santa Clara, CA Posted 46 days ago $152,000–$253,000 / year
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At a glance

AI generated

TL;DR

As a Senior Data Analysis Engineer at our autonomous driving hardware and software development team, you will play a pivotal role in supporting the agile iteration and development of AV software for customer release. You’ll collaborate closely with product, engineering, and in-car testing teams to define performance metrics, triage plans, and provide data-driven assessments and judgments. Your responsibilities include supervising test events, presenting critical metric trends, and improving large-scale triage efficiency while automating product metric generation and evaluation. With a strong background in Python and software engineering practices, you will enhance the quality and diversity of driving policy products, ensuring robust performance metrics are represented on dashboards to guide prioritization. This role demands expertise in ADAS/AD vehicle testing and data analysis from large datasets, along with excellent communication skills to influence and lead within our dynamic automotive group.

Skills

Python CI/CD Kubernetes AWS Docker Prometheus Grafana PostgreSQL Git Jenkins Ansible Terraform Scikit-learn Pandas NumPy TensorFlow Apache Spark MLOps

What you'll do

  • Define AD product performance metrics and create triage plans with cross-functional teams.
  • Analyze test event data from large-scale tests to identify critical metric trends and issues.
  • Enhance end-to-end driving policy product/model performance through data quality improvements.
  • Develop automated tools for generating and evaluating product critical metrics on dashboards.
  • Lead the improvement of triage efficiency and quality in collaboration with multi-functional teams.

What we're looking for

  • Bachelor’s degree or equivalent experience in Computer Science, Electrical Engineering, AI, or related fields.
  • Over 8 years of experience in ADAS/AD vehicle testing and data analysis with large datasets from customer cars.
  • Proficiency in Python and deep understanding of software engineering practices.
  • Strong scripting skills for automation and tool development.
  • Excellent problem-solving abilities and leadership to guide teams effectively.

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $202k
$139k most similar roles pay here $272k

This role pays less than 57% of similar roles. Most pay $164,807–$246,150 — the shaded band above. At the midpoint, this role pays about $202k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 824 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 812 roles with salary data.

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