Torc Robotics
Autonomous Vehicle Technology
SoftwareEngineer,DataEngineering
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer, Data Engineering at Torc Robotics. Skills: Data Engineering, Python, AWS, Linux. Build and support Linux-based data systems. Contribute to AWS-based data ingestion”
Industry & Context.
On-call rotation
What They're Looking For.
Must Have
Experience writing code using Python, Practical experience with Docker and containerization, A commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code, Experience with Linux and general bash scripting, Experience deploying, troubleshooting, monitoring and maintaining Linux systems
Nice to Have
organizational, time management, and communication skills, working with a team orientation and collaborative style, Experience developing cloud-based serverless solutions, Experience with pandas, numpy and other Python-based data analysis libraries and tooling, Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena), Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems, Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores, Experience with the Databricks platform, particularly for serving data, visualizations and jobs, Experience with scaling data for ML and AI workloads using Ray
What You'll Do.
Build and support Linux-based data systems
Contribute to AWS-based data ingestion
Contribute to ETL solutions
Contribute to data storage solutions
Create robust data pipelines
Process massive daily data volumes
Build scalable pipelines for ML training
Scale data lake through distributed storage
Promote data integrity through validation
Support data lake expansion
Acquire additional data sets
Assist in cloud-based solution development
Develop solutions supporting product delivery
Implement emerging cloud capabilities
Support deployed systems
How You'll Work.
Team & Collaboration
Work closely with experienced engineers; Collaborate with teams specializing in perception; Collaborate with teams specializing in planning; Collaborate with teams specializing in control; Collaborate with teams specializing in mapping; Collaborate with teams specializing in vehicle testing; Participate in daily standups; Participate in planning sessions; Participate in ad hoc discussions
Communication Scope
Communication skills
Full Job Description
About the Company 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 Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts. What You’ll Do We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company. Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale Scale Torc’s data lake through a distributed storage system, data crawling and discovery Promote and protect the integrity of data through validation, versioning, data provenance, and gover
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