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Torc Robotics

Senior, Software Engineer - AutoTagging

Torc Robotics · Ann Arbor, MI, Remote - US

Posted about 2 months ago

or apply directly on Torc Robotics's site. We never take the application ourselves.

Is this posting real?

This role has been open
72 days
Torc Robotics's roles stay open a median of 78 days
Reposted
No
Salary listed
No
11% of Torc Robotics's roles list one
Ghost-job risk at Torc Robotics
high
54 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
2026-10-22

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

In this role, you will be responsible for integrating and deploying an automated event-tagger into production pipelines, managing large-scale vehicle log data. You will build and maintain data engineering pipelines, ensure data quality, and collaborate with ML engineers to deploy tagging and classification models. Additionally, you will manage AWS infrastructure and CI/CD processes to support the Auto Tagger pipeline.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

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 6+ years of experience OR Master’s Degree in the same fields plus 3+ years of experience
  • Strong Python skills with experience in production data or ML pipelines
  • Hands-on CI/CD experience, specifically with GitHub Actions
  • Experience with Databricks for large scale data processing and orchestration
  • Experience with AWS, including infrastructure-as-code (Terraform or CloudFormation)
  • Experience processing large scale time series or unstructured datasets

Nice to have

  • Familiarity with auto-labeling pipelines, VLMs, or zero-shot classification
  • Experience with distributed compute frameworks such as Ray, Spark, or Daft
  • Familiarity with robotics data formats (ROS bags, MCAP) and columnar storage formats (Parquet, Arrow)
  • Experience with model serving frameworks such as vLLM or SGLang
  • Familiarity with scenario description standards like Pegasus layers

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
  • Company-wide holiday office closures
  • AD+D and Life Insurance

Worth weighing

  • No salary listed in the benefits section, but a hiring range is provided
  • The role involves managing large-scale data processing, which may require familiarity with complex systems
  • The company emphasizes a collaborative and inclusive culture, which may be beneficial for team-oriented candidates

Summarised from Torc Robotics's posting. Read the full original.

Listed by Torc Robotics on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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