Torc Robotics
Senior, Software Engineer - AutoTagging
Ann Arbor, MI, Remote - US · Senior · Full-time
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Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Ann Arbor, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Meet the Team The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios.
- Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.
- Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Responsibilities
- Design and implement event-detection algorithms over multi-sensor time-series data (ego kinematics, perception object tracks, lane and map geometry) using temporal logic, state machines, signal processing, and geometric reasoning in road-relative frames.
- Build evaluation for the taggers you write: ground-truth sets, per-scenario precision and recall, failure analysis, and regression tests that catch quality drift.
- Optimize taggers for scale and cost across petabytes of logs, favoring vectorized, distributed implementations over per-frame processing.
- Demonstrated algorithm design on real-world sensor, time-series, or geospatial data, in areas such as perception, tracking, state estimation, prediction, planning, signal processing, or applied ML.
Requirements
- By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking.
- Experience with VLMs, zero-shot classification, auto-labeling pipelines, or embedding/vector search for scenario extraction.
- Experience with GitHub Actions, infrastructure-as-code (Terraform or CloudFormation), and observability tooling (Datadog, Grafana, CloudWatch).
- Experience with model serving frameworks such as vLLM or SGLang.
Nice to have
- Strong Python skills, including NumPy, pandas, and SciPy, plus working proficiency in SQL.
- Hands-on exposure to production data systems: distributed compute (Spark, Ray, or Databricks), a cloud platform (AWS preferred), and CI/CD.
Compensation
- A competitive compensation package that includes a bonus component and stock options
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- Company-wide holiday office closures
- AD+D and Life Insurance
- Combine rule-based logic with learned components (classifiers, embeddings, Vision-Language Models) where heuristics hit their ceiling, and make the call on which approach fits each scenario.
- Own your taggers end to end into production: Python on Databricks/Spark, CI via GitHub Actions, and monitoring of both tag quality and job health.
- Perks of Being a Torc'r
- Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future.
Company info
- At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
- A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.
- Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
- Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
- Meet the Team
- The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios.
- Our culture is collaborative, energetic, and team focused.
This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.