5 дней назад
Senior Software Engineer - AutoTagging (Python/Databricks)
160 800 - 193 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - AutoTagging (Python/Databricks): Building and operating large-scale data and ML infrastructure for extracting and cataloging driving scenarios from autonomous vehicle logs with an accent on pipeline reliability, data quality, and distributed processing. Focus on deploying tagging models, scaling AWS and Databricks pipelines, and solving observability, performance, and cost challenges across petabytes of vehicle data.
Location: Remote within the United States; office location in Ann Arbor, Michigan.
Salary: $160,800–$193,000 USD, plus bonus and stock options.
Company
Develops software for automated trucks and autonomous driving systems as part of the Daimler family.
What you will do
- Integrate, deploy, monitor, and operate automated event-tagging services across petabytes of vehicle log data.
- Build data engineering pipelines that transform and catalog tagged scenarios in an observations database.
- Develop production Python code covering data ingestion, transformation, model integration, and deployment.
- Build and operate Databricks workflows and scalable AWS infrastructure using infrastructure as code.
- Own GitHub Actions CI/CD, observability, alerting, on-call response, and pipeline reliability.
- Collaborate with ML, perception, simulation, and systems teams to improve model deployment, data quality, performance, and cost.
Requirements
- 5+ years of software engineering experience, including production data pipeline or ML infrastructure work, and a BS or MS in computer science, engineering, or a related field.
- Strong Python experience building and maintaining production data or ML pipelines.
- Hands-on CI/CD experience with GitHub Actions.
- Required experience with Databricks and AWS, including Terraform or CloudFormation for distributed processing infrastructure.
- Experience with large-scale time series or unstructured datasets, production ML model integration, serving, monitoring, and rollback.
- Strong communication skills and experience with observability tools such as Datadog, Grafana, or CloudWatch.
Nice to have
- Experience with auto-labeling pipelines, VLMs, zero-shot classification, or distributed frameworks such as Ray, Spark, or Daft.
- Familiarity with ROS bags, MCAP, Parquet, Arrow, Pegasus layers, vLLM, or SGLang.
Culture & Benefits
- Collaborative, energetic, and team-focused work environment.
- 100% company-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible schedule, generous paid vacation available immediately after starting, and company-wide holiday closures.
- AD&D and life insurance.
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