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 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
What You'll Need to Succeed - BS/MS Degree in Computer Engineering, Computer Science, or related field
- Experience writing code using Python
- 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 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
Perks of Being a Full-time Torc'r 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)
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: 102737
Hiring Range for Job Opening US Pay Range
$114,400-$137,300 USD
