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Software Engineer II, MLOps Framework

3 weeks ago
United States
Full-time
Mid Level
Machine Learning Engineer
Software Development
C++ Embedded Systems
Apply Now
Torc

Torc

Torc Robotics is a leading provider of unmanned and autonomous ground vehicle technology, specializing in self-driving trucks for various industries. Founded in 2005, Torc has a history of innovation, including winning the 2007 DARPA Urban Challenge an...

Road & Rail
251-1K
Founded 2007
$37M raised
View All Jobs 13

Description

  • Architect and implement model conversion and compilation pipelines for deployment on edge devices.
  • Use tools such as ONNX, TensorRT, and torch.compile to support model deployment.
  • Maintain and evolve the model release registry across versions and target platforms.
  • Perform latency benchmarking and model quality parity evaluations before release.
  • Compare performance metrics across hardware platforms to verify accuracy and latency compliance.
  • Collaborate with model development teams and cross-functional stakeholders to translate findings into reliable outcomes.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field plus 4+ years of relevant experience, or a master's degree plus 2+ years.
  • Extensive experience with model conversion and compilation pipelines using ONNX, TensorRT, and torch.compile.
  • Experience performing rigorous latency benchmarking and quality parity validation.
  • Hands-on experience deploying and testing models on edge hardware such as NVIDIA Orin or similar embedded platforms.
  • Experience maintaining a model release registry in a production environment.
  • Ability to compare and interpret performance metrics across hardware platforms.
  • Experience working against strict latency and accuracy requirements for deployed models.
  • Preferred: expertise in model quantization (PTQ, QAT) and mixed-precision inference (INT8, FP8, FP4, BF16/FP16).
  • Preferred: experience releasing multi-target models across heterogeneous platforms.
  • Preferred: familiarity with autonomous driving perception algorithms and multi-modal sensor fusion.
  • Preferred: C++ and/or CUDA kernel development experience.

Benefits

  • Competitive compensation package with bonus component and stock options.
  • 100% paid medical, dental, and vision premiums for full-time employees.
  • 401(k) plan with a 6% employer match.
  • Flexible schedule and generous paid vacation available immediately after start date.
  • AD&D and life insurance.
  • Potential sign-on payments, relocation support, and other compensation depending on the role.
  • Full range of medical, financial, and other benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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