Software Engineer II (Python, SQL)

About The CompanyAt Torc, we have been at the forefront of autonomous vehicle technology since 2007, pioneering innovative solutions that are transforming transportation and logistics. As a leader in autonomous driving, we have spent over a decade developing and commercializing our autonomous systems in collaboration with experienced partners. Currently, as part of the Daimler family, our focus is dedicated solely to advancing software for automated trucks, aiming to revolutionize freight movement worldwide. Our commitment to innovation and excellence has established us as a trusted name in the autonomous vehicle industry, continuously pushing the boundaries of what is possible in autonomous mobility.About The RoleWe are seeking a highly skilled Software Engineer, II - Autonomy Data, to join our dynamic team remotely from the US, based in Blacksburg, VA. This role is pivotal in designing, building, and maintaining the data infrastructure that underpins our autonomy program. The successful candidate will be responsible for creating robust data pipelines, storage solutions, and tooling that convert raw vehicle sensor logs into structured, curated datasets essential for perception, planning, and simulation engineers. This position offers a high level of ownership within a lean team environment, where your contributions will directly impact the reliability and efficiency of large-scale sensor data processing. You will work closely with cross-functional teams to ensure data quality, facilitate dataset curation, and develop visualization tools that support autonomous system development and debugging.QualificationsBachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related field with 4+ years of data engineering experience or a Master’s degree with 2+ years of experienceProficiency in Python and SQL, with demonstrated experience in building production-quality data pipelinesExperience with cloud data infrastructure (AWS preferred: S3, Glue, Athena, Redshift, or equivalent)Knowledge of infrastructure-as-code tools such as Terraform or CloudFormationStrong understanding of data partitioning strategies and columnar storage formats like Parquet or OrcExperience processing time-series and binary data through data pipelinesAbility to evaluate and integrate open-source tooling effectivelyFirst-class implementation of data quality monitoring, validation, and lineage trackingResponsibilitiesDesign and organize the program's data lake, including schema definitions, partitioning strategies, and metadata indexingBuild and maintain end-to-end pipelines that reliably ingest high-bandwidth sensor logs from vehicles into cloud storage, accommodating ad-hoc and intermittent connectivityImplement data validation and integrity checks to detect corrupted data, missing sensors, and calibration issues before processingDevelop data retention, tiering, and lifecycle policies to optimize storage costs and data accessibilityCreate tooling for querying raw logs to produce curated datasets for training and evaluation purposesAutomate pseudo-labeling workflows at scale to enhance dataset quality cost-effectivelyDefine and implement data quality metrics and model performance indicators to prioritize labeling effortsDeploy and maintain data visualization tools to support log review, annotation quality assurance, and debugging workflowsIntegrate visualization tools with data lakes to enable seamless navigation from datasets or model failures to raw log dataCollaborate with autonomy engineers to develop custom visualization panels and metrics for analyzing unstructured operating environmentsBuild dashboards providing visibility into data coverage across terrain types, environments, and geographic regionsEstablish and document data contracts between data services and model training teamsPartner with perception, planning, and embedded engineering teams throughout the data lifecycle, from schema design to dataset interface definitionContribute to evolving data engineering standards, best practices, and tooling choices within the teamAssist in defining the data roadmap and communicate findings to senior leadershipBenefitsCompetitive compensation package including bonuses and stock options100% paid medical, dental, and vision insurance premiums401(k) plan with a 6% employer matchFlexible scheduling and generous paid vacation policiesCompany-wide holiday office closuresAdditional life, AD+D, and disability insurance coverageOpportunities for professional growth in a collaborative and innovative environmentEqual OpportunityTorc is committed to fostering an inclusive workplace that celebrates diversity and promotes equal opportunity. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, or disabilities. We encourage all qualified candidates to apply, regardless of whether they meet 100% of the listed qualifications. Our hiring decisions are based on merit and the potential to contribute to our mission of transforming autonomous transportation.