Drimva

Apptronik

Staff Technical Program Manager

$250K–$285K

Sunnyvale, CA +1 · Staff · Full-time · Posted Jul 23, 2026

Location
Sunnyvale, CA
Sunnyvale, California, United States
Experience
10+ years in technical program management or engineering management; must include leading cross-functional ML/AI and software teams and senior- or staff-level experience.
Education
Bachelor's degree in Electrical, Computer, or Mechanical Engineering, Computer Science, or Applied Physics required; Master's degree in Engineering or Computer Science preferred.

About the job

Leads cross-functional MLOps and humanoid-robot perception programs, establishes program operations for Apptronik’s Sunnyvale site, and coordinates delivery with a strategic AI partner.

What you'll do

  • Own ML infrastructure and operations programs, including data pipelines, training and evaluation infrastructure, model releases, and tooling.
  • Drive perception-team roadmaps, milestones, and integration of capabilities into the robot stack.
  • Set up Sunnyvale program-management practices, coordinate stakeholders, and serve as the primary program interface to a strategic AI partner.

What they ask for

  • Bachelor's degree in Electrical, Computer, or Mechanical Engineering, Computer Science, or Applied Physics.
  • 10+ years of experience in technical program management or engineering management, including leading cross-functional teams across ML/AI and software.
  • Deep experience leading programs across the ML lifecycle and demonstrated ability to lead perception and sensing programs.
  • Expert-level coordination across AI/ML, software, firmware, controls, and hardware teams to deliver integrated systems.

Nice to have

  • Experience in robotics, autonomous systems, or embodied AI.
  • Direct experience with robot learning, manipulation/dexterous systems, modeling, large-scale ML data and training programs, edge AI inference platforms, or embedded systems integration.

Pay

$250,000-$285,000 USD base salary

Tools

ML infrastructure, data pipelines, training and evaluation infrastructure, edge inference, model deployment, computer vision, sensor fusion, tactile and multi-modal sensing

AI focus

Leads ML infrastructure and operations, robot learning systems, and perception programs for humanoid robotics, including coordination with an external AI partner.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)