ML Engineer, I - App Engine
Quick Summary
A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental,
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.
Responsibilities
~1 min read- →Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- →Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
- →Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- →SDK Feature development to support the creation of Virtual Driver Software
- →Support Virtual Driver Division with their usage of the Application Engine
- →Creation of high-quality code including test case development
- Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 1-3 years experience
- Experience with Embedded Software Development, especially with a focus on GPUs
- Experience with TensorRT and CUDA
- Experience in the development of real-time distributed systems
- Profound knowledge of C++
- Familiarity with machine learning technologies (e.g. PyTorch)
- Experience with Linux
Nice to Have
~2 min read- Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
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)
- 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: 102680
Location & Eligibility
Listing Details
- Posted
- April 29, 2026
- First seen
- April 29, 2026
- Last seen
- May 4, 2026
Posting Health
- Days active
- 4
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- May 4, 2026
Signal breakdown
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