Software Engineer II, MLOps Framework

🕒 August 20

🇺🇸 United States – Remote

💵 $139k - $166.8k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Torc Robotics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2007

🚘 Automotive

📦 Logistics

🚗 Transport

Automotive • Logistics • Transport

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

📋 Description

• Own pipelines that take models from research to production on edge hardware • Architect and implement model conversion and compilation pipelines using ONNX, TensorRT, and torch.compile for edge-device deployment • Maintain and evolve the model release registry for traceability and reproducibility across model versions and target platforms • Perform latency benchmarking and model quality parity evaluations for safety-critical performance requirements • Compare metrics across platforms to verify accuracy and latency compliance before release • Collaborate with model development teams, perception teams, safety teams, and broader stakeholders to deliver reliable, actionable outcomes

🎯 Requirements

• Bachelor's Degree in Computer Science, Electrical Engineering, Robotics, or related field plus 4+ years of relevant experience; or Master's Degree plus 2+ years • Extensive experience with model conversion and compilation pipelines (ONNX, TensorRT, torch.compile) and 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 to validate models against strict latency and accuracy requirements • Bonus: Expertise in model quantization (PTQ, QAT) and mixed-precision inference (INT8, FP8, FP4, BF16/FP16) • Bonus: Experience releasing multi-target models across heterogeneous platforms • Bonus: Familiarity with autonomous driving perception algorithms and multi-modal sensor fusion • Bonus: C++ and/or CUDA kernel development

🏖️ 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 • Potential sign-on payments, relocation, and other forms of compensation as part of the total compensation package