Senior Technical Program Manager, Simulation
Program Execution
Own and drive the execution of large, cross-functional programs within the Simulation and ML Evaluation domain, translating technical roadmaps into structured project plans.
ML Integration
Drive the execution of programs that integrate simulation deeply into the ML development loop, establishing a seamless, reliable path for model training, offline evaluation, and validation.
Dependency & Risk Management
Proactively identify, track, and mitigate technical dependencies, risks, and blockers across onboard software and offboard infrastructure teams.
Technical Judgment
Exercise strong technical judgment to contribute to tool/platform design discussions, evaluate architectural trade-offs, and ensure deliverable quality.
Operations & Release Coordination
Coordinate releases, manage tool deployment, and oversee triage workflows for simulation platforms to ensure high reliability and usability for developer teams.
Process Scaling
Identify systemic bottlenecks in the offline evaluation loop and implement process or tooling improvements to scale simulation capabilities and efficiency.
Education
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
TPM Experience
3+ years of experience as a Technical Program Manager in a software engineering or large scale infrastructure environment.
ML Experience
2+ years of experience managing technical projects involving machine learning infrastructure, model training/evaluation loops, or ML data pipelines.
Program Ownership
Proven track record of owning and driving complex technical programs end-to-end, managing timelines, risks, and dependencies across multiple stakeholders.
Technical Judgment
Strong technical judgment with the ability to engage in design discussions with engineering leads and analyze technical trade-offs.
Communication
Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both research and infrastructure teams.
MLOps & Tooling
Experience with ML frameworks (JAX, PyTorch) and cloud-based ML training/evaluation platforms.
ML Based Simulation
Familiarity with advanced simulation technologies, including ML-based scene generation (e.g., NeRF, Gaussian Splatting, Diffusion, etc.) and reactive agent modeling.
Simulation
Familiarity with autonomous system simulation, log playback infrastructure, or closed-loop model validation strategies.
Data Management
Experience with large-scale dataset management, data validation frameworks, or unified data solutions.
Developer Platforms
Experience building or managing developer tools or platforms that simplify complex developer workflows.
AV Domain Knowledge
Prior experience in the autonomous vehicle industry or robotics, understanding onboard/offboard dependencies.
Advanced Degree
Master's degree in a technical field, ideally related to AI/ML.
Pay
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.