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Senior Embedded ML Engineer - Application Engine

torc robotics United State
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Develop and maintain components of the App Engine runtime and SDK, assist in implementing message-passing and data handling between distributed compute nodes, and contribute to testing, debugging, and performance tuning of ML integration features.

Key Highlights
Develop and maintain App Engine runtime and SDK components
Implement message-passing and data handling between distributed compute nodes
Contribute to testing, debugging, and performance tuning of ML integration features
Technical Skills Required
C++ Linux development environments CUDA GPU programming concepts Machine learning frameworks (e.g., PyTorch)
Benefits & Perks
Competitive compensation package
100% paid medical, dental, and vision premiums
401K plan with 6% employer match

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


  • Develop and maintain components of the App Engine runtime and SDK supporting ML workloads on embedded GPUs.
  • Assist in implementing message-passing and data handling between distributed compute nodes.
  • Contribute to testing, debugging, and performance tuning of ML integration features.
  • Work closely with senior engineers to learn and apply best practices in GPU programming and embedded ML deployment.


What You’ll Need To Succeed


  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 0–4 years of experience, OR Master’s with 0–2 years, OR PhD with 0–2 years.
  • Strong programming skills in C++ and familiarity with Linux development environments.
  • Exposure to CUDA, GPU programming concepts, or machine learning frameworks (e.g., PyTorch).
  • Eagerness to learn, contribute, and grow in an applied ML engineering environment.


Bonus Points:


  • Internship or project experience involving distributed systems, GPU programming, or embedded software.


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


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: R-102362

Hiring Range for Job Opening

US Pay Range

$132,400—$158,900 USD

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