Director / VP, Mechanical Engineering & Product Design
Lyte · Sunnyvale, CA
Roboticsonsitedirector$200k–$350k
At a glance
Highlights
- Lead end-to-end architecture and delivery of robotic hardware platforms.
- Build infrastructure for robotics and Physical AI operating at scale.
- Own system integration across mechanical, sensing and embedded systems.
What they offer
- Competitive salary and equity
- Comprehensive medical, dental, and vision coverage
- 401(k) retirement plan
- Flexible vacation and time-off policy
Ideal candidate
Deeply technical hardware leader who has shipped complex robotic or automotive products from concept to mass production. Hands-on systems thinker who thrives integrating multidisciplinary teams and iterating fast in the field.
Requirements
- BS/MS/PhD in Mechanical Engineering, Robotics, Mechatronics, Systems Engineering, or related field
- 12+ years developing and shipping complex hardware systems, including 5+ years in engineering leadership
- Proven experience delivering robotic, autonomous, automotive, industrial, or consumer hardware from concept to production
- Deep expertise in system integration across mechanical, sensing, actuation, thermal, and embedded systems
- Strong background in requirements management, ERS development, V&V, FMEA, and reliability engineering
- Experience leading PDR, CDR, design freeze, and production readiness reviews
- Hands-on expertise with 3D CAD and tolerance analysis
- Experience with DFM/DFA/DFT for precision assemblies and high-volume manufacturing
- Experience integrating perception hardware including cameras, LiDAR, radar, and IMUs
- Proficiency with FEA, CFD, and multibody dynamics simulation
- Direct experience leading NPI and manufacturing ramp with global suppliers and contract manufacturers
- remote policy
- on-site
Lab profile
About Lyte
Building perception infrastructure for robotics and Physical AI with custom silicon, sensors, and software.
What they build
- Perception systems for robotics, mobility and automation
- Electro-optical sensing modules
- Robotic hardware platforms
Known for
- Robot perception, state estimation and planning
- Learning-based behaviors and autonomy stacks
- Signal-processing algorithms for FPGA, GPU and silicon
- Mixed-signal ASICs, photonics and DSP hardware
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