Senior Software Engineer - AutoTagging

🕒 August 10

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $160.8k - $193k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 1%

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

📋 Description

• Integrate and deploy the automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data • Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database • Own CI/CD for the Auto Tagger pipeline using GitHub Actions • Write production-grade Python code across data ingestion, transformation, model integration, and deployment • Build and operate on Databricks for large-scale data processing, interactive querying, and pipeline orchestration • Design, deploy, and scale AWS infrastructure as code for high-volume, distributed vehicle-log processing • Instrument pipelines with logging, metrics, and alerting; own on-call response for tagging failures and data-quality regressions • Partner with ML engineers to move tagging and classification models into scalable, monitored production pipelines • Ensure data quality and metadata integrity in the observations database • Troubleshoot and improve pipeline performance, reliability, and cost as data volume and model complexity grow

🎯 Requirements

• BS or MS in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure work • Strong Python skills and experience building and maintaining production data or ML pipelines • Hands-on CI/CD experience; GitHub Actions required • Required experience with Databricks for large-scale data processing and orchestration • Required experience with AWS, including infrastructure as code using Terraform or CloudFormation • Experience processing large-scale time-series or unstructured datasets • Experience with observability tooling such as Datadog, Grafana, or CloudWatch • Experience integrating and deploying ML models into production systems, including serving, monitoring, and rollback • Strong communication skills to work across ML, perception, and simulation teams • Bonus: familiarity with auto-labeling pipelines, VLMs, zero-shot classification, Ray, Spark, Daft, ROS bags, MCAP, Parquet, Arrow, vLLM, SGLang, or Pegasus layers

🏖️ Benefits

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • Company-wide holiday office closures • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation depending on the position offered