Torc Robotics
From Torc Robotics's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration.
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.
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 governance
Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources
Assist in the development and delivery of cloud-based solutions
Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles
Participate in the team’s on-call rotation to support our deployed systems during business hours
Here’s a list of some of the technologies we use to make all the above happen:
Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)
Linux / Bash
Docker
Terraform
Python
React/Javascript
On-Call Tooling (Datadog, AWS Cloudwatch)
Databricks
BS/MS Degree in Computer Engineering, Computer Science, or related field
Practical experience with Docker and containerization
A strong 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
Bonus Points
Strong organizational, time management, and communication skills working with a team orientation and collaborative style
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
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: 102861
Hiring Range for Job Opening
US Pay Range
$114,400—$137,300 USD
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