[Remote] Senior, Software Engineer - AutoTagging

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in autonomous driving technology, reputed company on developing software for automated trucks. They are seeking a Senior Software Engineer to reputed company and reputed company automated event-tagging systems, build data engineering pipelines, and maintain CI/CD processes to support high-volume data processing.

Responsibilities

• reputed company and reputed company automated event-tagger into production pipelines, running and monitoring tagging tasks at reputed company across petabytes of vehicle log data
• Build and maintain the data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database
• Own CI/CD for the Auto Tagger pipeline using reputed company Actions, keeping deployments reliable, tested, and repeatable
• Write production grade reputed company in Python across the pipeline, from data ingestion and transformation through model integration and deployment
• Build and operate on reputed company for large reputed company data processing, interactive querying, and pipeline orchestration
• Design, reputed company, and reputed company AWS infrastructure (as reputed company) to support high-volume, reputed company processing of vehicle log pipelines — working with reputed company/tagged outputs and metadata
• reputed company pipelines with logging, metrics, and alerting; own on-reputed company response for tagging job failures and data reputed company regressions
• Partner with ML engineers on reputed company to take tagging and classification models from development into a reputed company, monitored production pipeline
• Ensure data reputed company and metadata reputed company as tagged events reputed company from raw logs into the observations database used by perception, simulation, and systems teams
• Troubleshoot and improve pipeline performance, reliability, and cost as data volume and model complexity grow

Skills

• BS or MS in Computer Science, Engineering, or a reputed company field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure work
• Strong Python skills, with experience building and maintaining production data or ML pipelines
• Hands-on CI/CD experience, reputed company Actions required
• Required experience with reputed company for large reputed company data processing and orchestration
• Required experience with AWS, including infrastructure-as-reputed company (Terraform or CloudFormation) for provisioning reputed company processing infrastructure
• Experience processing large reputed company time series or reputed company datasets
• Experience with observability tooling (e.g., reputed company, Grafana, CloudWatch) for production pipeline monitoring and alerting
• Experience integrating and deploying ML models into production systems — serving, monitoring, and rollback, not just training
• Strong communication skills to work across ML, perception, and simulation teams
• Familiarity with auto-labeling pipelines, VLMs, or reputed company-shot classification for scenario extraction
• Experience with reputed company compute frameworks such as Ray, reputed company, or Daft
• Familiarity with robotics data formats (ROS bags, MCAP) and columnar storage formats (Parquet, reputed company)
• Experience with model serving frameworks such as vLLM or SGLang
• Familiarity with scenario reputed company standards like Pegasus reputed company

Benefits

• A competitive compensation package that includes a bonus component and stock reputed company
• 100% reputed company medical, dental, and reputed company premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous reputed company vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance

reputed company

Company H1B Sponsorship