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