자율주행 트럭 운영을 위한 데이터 수집 도구와 파이프라인을 설계하고 개발해요. Python과 SQL 활용 능력이 필수이며, C++ 또는 TypeScript 사용 경험이 있거나 학습 의지가 있어야 해요. PostgreSQL과 Databricks를 활용한 데이터 처리 경험이 필요하며, 관련 분야 학위 또는 동등한 실무 경험을 요구해요. 애자일 환경에서 타 부서와 협업하며 기술적 문제를 해결하는 역할을 수행해요.
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.
The Software Engineer II will be a core member of the Fleet Enablement & Insights team, responsible for designing and implementing the tooling and data systems that enable Torc's fleet operations team to optimize autonomy data collection operations. This role contributes directly to the infrastructure that optimizes what the fleet collects, measures machine learning needs against data collection priorities, and validates that the resulting data is safe and usable for the autonomous truck platform. The ideal candidate is a collaborative engineer who thrives in a fast-paced environment and is passionate about solving complex data engineering, metrics, and geospatial simulation challenges at scale. This position offers the opportunity to work at the intersection of software engineering, autonomous systems, and fleet data operations with a direct line of sight to the data that trains and validates the AV stack.
Experience with simulation systems and their application to validating spatial, mapping, or sensor data.
Experience with data visualization or dashboarding tools (e.g., Databricks dashboards, Plotly, Grafana) for operational metrics.
Familiarity with PostGIS for advanced spatial queries, geometry operations, and geospatial data management.
Prior experience working with High-Definition (HD) maps, map formats (e.g. OpenDRIVE, NDS, Lanelet2), or map production pipelines.
Experience with routing or optimization algorithms (e.g. weighted route planning, coverage optimization).
Background in autonomous vehicles or machine learning, with an understanding of how fleet data collection feeds the machine learning stack.
Contributions to open-source geospatial, data engineering, or mapping projects.
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
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)
AD+D and Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102784
US Pay Range
$139,000—$166,800 USD
