ML Engineer, II - App Engine

Ann Arbor, MI full timeOn Site

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mid

$153k–$184k

H1B: yes

Torc Robotics ML Engineer II at Torc Robotics developing a world-class SDK/framework for the Virtual Driver system. Focus on C++ development for safety-critical robotics in autonomous trucking.

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.

Qualification

Object oriented C++Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer ScienceExperience with LinuxDedication to first-time-qualityNvidia CUDA API (RuntimeNvidia embedded compute devices (AGX

Required

Object oriented C++ : we are the team that can put your expertise in C++ / C17 to use. You need to love working in C++ to thrive in this role.
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 or;
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.

Preferred

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

Dental
Vision
401(k)
Equity/RSU
Life Insurance

Company

Torc Robotics

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