torcrobotics · Ann Arbor, MI, Remote - US · Ann Arbor, Michigan, United States · Remote - US
<p><strong><span data-contrast="none">About the Company</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":150}"> </span></p> <p><span data-contrast="none">At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. </span><span data-contrast="none">A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. </span><a href="https://torc.ai/daimler-testing-automated-trucks-public/"><span data-contrast="none"><span data-ccp-charstyle="Hyperlink">Now a part of the Daimler family</span></span></a><span data-contrast="none">, we are focused solely on developing software for automated trucks to transform how the world moves freight. J</span><span data-contrast="none">oin 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. </span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":150}"> </span></p> <p><strong><span data-contrast="none">Meet The Team:</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":150}"> </span></p> <p><span data-contrast="none">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. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. 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.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":150}"> </span></p> <p><strong><span data-contrast="none">What You'll Do:</span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":150}"> </span></p> <ul> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Scenario Mining at Scale:</span></strong><span data-contrast="none"> Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Advanced Event Tagging:</span></strong><span data-contrast="none"> Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Standardized Data Structuring:</span></strong><span data-contrast="none"> Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Data Flywheel Integration:</span></strong><span data-contrast="none"> Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><strong><span data-contrast="none">Cross-Functional Alignment:</span></strong><span data-contrast="none"> Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.</span></li> <li data-leveltext="" data-font="Symbol" data-listid="8" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469