ML Engineer, II - App Engine

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Responsibilities

Develop a world class SDK / Framework for the composition and execution of applications that form the Virtual Driver system at Torc Robotics; Write C++ code! You'll work as a professional developer on the critical path towards commercialization; Grow as a C++ professional, in the future-proof vertical of safety-critical robotics (level 4 self driving class 8 trucking); Resolve field issues from our internal customers, by interrogating logs, provisioning telemetry, creating tests and writing code; Invent solutions to modern issues related to embedded robotics : determinism, type safety, test coverage, CUDA, observability/telemetry, concurrency, synch/asynch execution models, execution graphs, throughput, latency and much more; Collaborate with team members at various levels of seniority, and engineers in related groups like Feature Development and Hardware Acceleration

Requirements

Object oriented C++ (C++17); An ability create simple and easily-understood software code; Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience; Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience; Experience with Linux; Dedication to first-time-quality, timeliness, teamwork & dependability

Nice to have

Professional experience applying design patterns and C++ features to real-world problems; Nvidia CUDA API (Runtime, Driver); Nvidia embedded compute devices (AGX, Jetson, Thor); Experience developing SDK's for complex embedded systems; Experience in autonomous robotic or vehicle systems; Experience solving problems involving topics such as: pipelining, memory hierarchy, locality, ABI compatibility, CUDA, MISRA/ISO26262, resource management

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); AD+D and Life Insurance; Sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package