[Hiring] ML Engineer, II - Simulation Enablement @Torc Robotics

Role Description

We are hiring a Machine Learning Engineer to sit at the center of growth, reporting to Dataloop + Simulation but working day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside. You will ensure model team's replay/recompute jobs run at scale, that the metrics are interpretable and auditable, and that engineers can visualize model performance.

• Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim.
• Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale.
• Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation.
• Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog.
• Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking) to implement and own integrations.
• Debug issues that span the full stack, from data ingestion through simulation execution to storage and metrics — and drive them to resolution.
• Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap.
• Document workflows and onboard new users so adoption scales beyond your own hands-on support.

Qualifications

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience.
• Strong Python skills and experience building or operating data pipelines at scale.
• Experience working with simulation, replay, or model validation.
• Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume.
• Comfort working across cloud storage and compute.
• Strong cross-team communication skills.
• A bias toward hands-on problem solving.

Requirements

• Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role.
• Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically.
• Experience with simulation or replay frameworks for autonomous vehicles or robotics.
• Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js.
• Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).
• Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods).
• Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions).

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

Company Description

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.