Senior Machine Learning Engineer - App Engine (CUDA) at Torc Robotics

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, RoboticsIndustries

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 6+ years of experience, OR Master’s with 4+ years, OR PhD with 3+ years
Strong expertise in embedded software development with a focus on GPU programming
Proficiency in CUDA, TensorRT, and experience with machine learning frameworks (e.g., PyTorch)
Experience designing and optimizing real-time distributed systems
Deep knowledge of modern C++ (C++14 or newer) and Linux development environments
Proven track record of delivering robust, maintainable, high-performance software in collaborative environments

Responsibilities

Design and implement advanced software solutions for distributed, GPU-based machine learning applications in autonomous driving
Develop and optimize message-passing pipelines across multiple System-on-Chips using Ethernet, PCIe, and other high-speed interconnects
Optimize concurrent resource usage (GPU, memory) to support parallel execution of deep learning models on embedded platforms
Build and maintain the runtime environment and SDK enabling deployment of ML-driven Virtual Driver applications
Collaborate with cross-functional teams to integrate App Engine capabilities into feature development pipelines
Author high-quality, production-ready C++ code and comprehensive test suites

Skills

CUDA

TensorRT

PyTorch

C++

Linux

GPU programming

PCIe

Ethernet

embedded software

real-time distributed systems

System-on-Chips

message-passing pipelines

Torc Robotics

Develops autonomous driving technology for trucks

About Torc Robotics

Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows trucks to operate without human intervention in specific conditions. Their technology enhances road safety and meets the logistics industry's growing demands. Torc Robotics partners with major truck manufacturers, like Daimler Trucks, and collaborates with companies such as Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to fleet operators and truck manufacturers, while also providing ongoing support and updates. The company's goal is to improve efficiency and safety in freight transportation through their autonomous solutions.

Blacksburg, VirginiaHeadquarters

2005Year Founded

M_AND_ACompany Stage

Robotics & Automation, Automotive & TransportationIndustries

501-1,000Employees

Benefits

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

Risks

Increased competition from companies like Waymo and Aurora could impact market share.

Expansion into new markets involves significant operational costs and regulatory risks.

The strategic partnership with Daimler may limit alliances with other truck manufacturers.

Differentiation

Torc Robotics specializes in self-driving truck technology, focusing on Level 4 autonomy.

The company has a strategic partnership with Daimler Trucks for autonomous vehicle development.

Torc's modular products enable rapid integration of robotic systems for various applications.

Upsides

Torc is expanding operations to Texas and Michigan, enhancing market presence.

The company won the 2024 Top Software & Tech Award in the Robotics category.

Torc's focus on autonomous Class 8 trucks addresses aging workforce and rising demand.

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