Torc Robotics
Applied Machine Learning Engineer II - GPU Optimization
104k - 124k USD
On-site
Full Time
#Autonomous
#Deep Learning
#Engineering
#Programming
#TensorRT
#Git
#Jira
Torc Robotics is looking for a Applied Machine Learning Engineer II - GPU Optimization
Full TimeSeniorOn-siteUnited StatesAutonomousDeep LearningEngineeringProgrammingTensorRTGitJiraEnglish
104k - 124k USD per year
At Torc, we have been pioneers in autonomous driving technology since 2007. As a member of the Daimler family, we are dedicated to developing software for automated trucks that will fundamentally change how the world moves freight, and we invite you to help us drive the future of this industry.
Responsibilities
- Contribute to the development of L4 autonomous semi-trucks for the commercial market.
- Optimize complex deep learning models to run efficiently on embedded NVIDIA GPUs.
- Create custom CUDA kernels and TensorRT plugins to support our perception and planning algorithms.
- Partner with cross-functional experts to influence the autonomy stack and deploy models directly onto our vehicles.
- Analyze and resolve system performance bottlenecks to ensure peak operation.
- Maintain high engineering standards by documenting your work, participating in code reviews, and engaging in strategic team discussions.
Must-haves
- A relevant bachelor’s degree with at least 5 years of professional experience, or an advanced degree.
- Strong proficiency in C++14 with a focus on writing clean, robust, and efficient code.
- Proven experience with CUDA programming and algorithm parallelization.
- Practical experience developing TensorRT plugins.
- Familiarity with collaborative development workflows using Git and Jira.
- Excellent verbal and written technical communication skills.
- A collaborative, team-oriented mindset.
Nice-to-haves
- Professional background in robotics or autonomous systems.
- Experience working within safety-critical system environments.
- Proficiency with deep learning frameworks like PyTorch or TensorFlow.
Benefits
The salary range for this position is $103,700 to $124,400 USD.
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