Torc Robotics · 2 weeks ago
Machine Learning Engineer, II - App Engine (CUDA)
Torc Robotics is focused on developing advanced autonomous trucking technologies, and they are seeking a Machine Learning Engineer to join their Application Engine Team. The role involves implementing and optimizing software for deep learning models on GPU platforms, collaborating with teams to ensure functionality in vehicle environments, and maintaining efficient code.
Autonomous VehiclesRoboticsSoftware
Responsibilities
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
Qualification
Required
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
Preferred
Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming
Familiarity with and at least one ML framework (e.g., PyTorch)
Benefits
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
Company
Torc Robotics
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships
H1B Sponsorship
Torc Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (100)
2024 (41)
2023 (33)
2022 (40)
2021 (14)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-29Acquired
Recent News
2025-12-02
2025-09-12
2025-09-09
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