Sr. Software Engineer, Deep Learning Automation
Aug 31, 2023
Blacksburg, VA; Austin, TX; Remote, US
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:
In the Training and Metrics group our core obligation is to develop and own the production-grade automated processes of the perception data loop. Starting with data selection, following training, evaluation and deployment, in the end, our machine learning models make our trucks perceive the world! We enable automated, data driven iteration cycles on the perception machine learning stack. To be successful, we collaborate with different perception teams, as well as Data Science and ML Ops teams across the company.
What you'll do:
- Implement and integrate the production grade deep learning trainings, evaluation and model conversion of the perception machine learning stack (pytorch, AWS, Kubernetes)
- Accelerate the optimization of the perception training / evaluation / conversion pipelines regarding runtime, memory consumption and network usage
- Integrate training monitoring tools and ensure compatibility of training results and training data with other internal services
- Supervise the unification process of common platform, developer and pipeline tooling such as data loading, model conversion for embedded hardware and evaluation processes and common data formats
- Coordinate and negotiate the development of shared, modular neural network architectures between multiple perception teams
What you'll need to succeed:
- Master's degree in computer science, data science, artificial intelligence or related field
- Excellent deep learning engineering focus for 3+ years in the field of perception
- Knowledge and application experience of deploying Software Engineering best practices like coding standards, formatting and test-driven development
- 3+ years of relevant professional experience
- 3+ years of experience with python and PyTorch in a distributed / multi-GPU setting, ideally on AWS
- Experience in working within ML automation, data loop and deploying continuous trainings
- Excellent coordination and ability to communicate highly technical topics
- Kubernetes, Slurm
- Docker / Jenkins
- AWS Sagemaker, Batch
- Unit testing of neural network (components)
- PhD in computer science, data science, artificial intelligence or related field
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)
- Company-wide holiday office closures
- AD+D and Life Insurance
Hiring Range for Job Opening
US Pay Range
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. We’re always looking for those that are hungry, humble, and people smart and your unique experience may be a great fit for this role or others.