AI Summary
Implement and optimize software components for distributed execution of ML models on embedded GPU platforms. Collaborate with feature teams to integrate and validate App Engine functionality. Maintain clean, efficient C++ code.
Key Highlights
Implement and optimize software components for distributed execution of ML models on embedded GPU platforms
Collaborate with feature teams to integrate and validate App Engine functionality
Maintain clean, efficient C++ code and unit/integration tests
Technical Skills Required
Benefits & Perks
Competitive compensation package
100% paid medical, dental, and vision premiums
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation
Company-wide holiday office closures
AD+D and Life Insurance
Job Description
Meet the Team
The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You’ll Do
- Implement and optimize software components supporting distributed execution of ML models on embedded GPU platforms.
- Contribute to message-passing, resource management, and runtime feature development for the App Engine SDK.
- Profile and optimize GPU utilization, reducing latency and maximizing throughput for ML workloads.
- Collaborate with feature teams to integrate and validate App Engine functionality in vehicle and simulation environments.
- Maintain clean, efficient C++ code and unit/integration tests.
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 4+ years of experience, OR Master’s with 2+ years, OR PhD with 1+ years.
- Proficiency in C++ (C++14 or newer) and Linux development.
- Hands-on experience with CUDA
- Understanding of parallel programming, GPU acceleration, or real-time systems.
- Strong problem-solving skills and ability to collaborate in a fast-paced environment.
- Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming.
- Familiarity with and at least one ML framework (e.g., PyTorch).
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
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: 102363
Hiring Range for Job Opening
US Pay Range
$153,200—$183,800 USD