Aalyria: Provides laser communications and networking platforms for aerospace.
3+ YOEBachelor's in EE/controls/CS/physics plus 3+ years developing real-time closed-loop embedded control systems; MATLAB/Simulink and embedded C experience; hardware bring-up, test, and data acquisition; Python/Go/Linux preferred.
Saviynt: Provides AI-powered identity governance and cloud security platforms.
2+ YOERequires 2–3 years as a Distinguished Engineer in distributed systems and data engineering, deep distributed database expertise, real-time streaming experience, multi-tenant SaaS architecture, cloud, and executive stakeholder leadership.
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
12+ YOEBachelor’s in engineering,12+ years systems engineering experience, expertise in real-time control, data pipeline and FPGA processing, optics and fluidics knowledge, regulated design control experience.
RTOS, FPGA, DMA, PCIe, USB 3.0, Gigabit Ethernet, RS232, USB, TCP/IP, CAN bus, SPI, I2C
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
Pursuing BS/MS/PhD in CS or related field; strong C/C++ and Python skills; foundation in math and CS theory; experience with large data processing and real-time systems preferred.
Pony.aiNASDAQ: PONY: Develops autonomous driving technology and operates robotaxi services.
2+ YOEMaster's in CS or 2+ years industry experience; strong ML/DL expertise, data processing, algorithms, C++ and Python; experience with model deployment and optimization for real-time systems.
Senior / Staff AI Research Engineer, Embodied Systems Lead
Milpitas, California, United States
OnsiteFull Time
RoboForce: Develops autonomous AI robots for industrial labor tasks.
Lead end-to-end embodied systems for on-robot inference, data collection, teleoperation, and on-robot RL. Strong C++ and Python skills, ROS/ROS2 experience, systems and real-time engineering background, prior leadership on robotic systems.
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
2+ YOEMS or PhD in a relevant field, 2+ years deploying manipulation behaviors on real robots, Python proficiency, hardware data collection and testing experience, and familiarity with robotic learning and control methods.