Software Engineer II, MLOps Framework
Torc Robotics · Remote - US
Posted 27 days ago · $139,000 - $166,800
or apply directly on Torc Robotics's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days Torc Robotics's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- Yes 11% of Torc Robotics's roles list one
- Ghost-job risk at Torc Robotics
- high 24 stale, 0 reposted of 56 open
- Hiring momentum
- 93 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Torc Robotics's own greenhouse board since 2026-08-03. Full hiring picture for Torc Robotics.
About this role
As a Software Engineer II on the MLOps Framework & Conversion team at Torc, you will be responsible for architecting and implementing model conversion and compilation pipelines for deploying machine learning models on edge hardware. Your role will involve maintaining a model release registry, performing latency benchmarking, and ensuring that models meet strict performance requirements for autonomous trucking. Collaboration with perception and safety teams is key to ensure reliable outcomes in model deployment.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Torc Robotics as an employer.
What you need
- Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus 4+ years of experience or Master’s Degree plus 0-3+ years of experience
- Extensive experience with model conversion and compilation pipelines (ONNX, TensorRT, torch.compile)
- Hands-on experience deploying and testing models on edge hardware (e.g., 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
Nice to have
- Expertise in model quantization (PTQ, QAT) and mixed-precision inference (INT8, FP8, FP4, BF16/FP16)
- Experience releasing multi-target models across heterogeneous platforms
- Familiarity with SOTA autonomous driving perception algorithms
- C++ and/or CUDA kernel development
What you get
- 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
- AD+D and Life Insurance
Worth weighing
- No specific mention of remote work policies beyond being remote - US
- The role requires a strong technical background and experience in a specialized field, which may limit the candidate pool
- The job description emphasizes strict performance requirements which may imply high pressure to meet deadlines
Summarised from Torc Robotics's posting. Read the full original.
Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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