Torc
Company
Machine Learning Engineer, II - App Engine (CUDA)
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.
What You’ll Need to Succeed
- 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.
Bonus Points:
- Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming.
- Familiarity with and at least one ML framework (e.g., PyTorch).
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: 102363
Torc
31 jobs posted
About the job
Similar Jobs
Discover more opportunities that match your interests
1 day agoMachine Learning Engineer, I - App Engine (CUDA)
Torc
Ann Arbor, MIView details- 10 hours ago
Machine Learning Engineer II (ASR)
Suki
Bangalore, IndiaView details - 17 days ago
Machine Learning Engineer - II
Adobe
BangaloreView details - 11 hours ago
Machine Learning Engineer II
Hudl
London, United KingdomView details - 17 days ago
Machine Learning Engineer - II
Adobe
BangaloreView details
29 days agoMachine Learning Engineer (LLM)
BJAK
MalaysiaView details
29 days ago머신러닝 엔지니어 (LLM) Machine Learning Engineer (LLM)
BJAK
Seoul, KoreaView details
29 days ago機械学習エンジニア(LLM)Machine Learning Engineer (LLM)
BJAK
Tokyo, JapanView details
29 days agoMachine Learning Engineer (LLM)
BJAK
IndonesiaView details
29 days agoMachine Learning Engineer (LLM)
BJAK
Hong KongView details
Looking for something different?
Browse all AI jobs