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Entry-level position in a metro with notable VC backing but niche robotics skills yields medium competition.
Embedded robotics and hardware debugging skills are domain-specific, limiting cross-industry transferability.
Requires specific embedded debugging skills, AI-tool fluency, and degree, so moderately strict filtering.
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Own day-to-day debugging, bring-up, and reliability for InstaCore multi-camera/sensor hardware in physical AI data collection.
Use AI-powered coding tools (Cursor, Claude Code, Codex) to accelerate diagnostics, log analysis, tool-building, and root cause analysis.
Collaborate cross-functionally to improve hardware reliability, provision devices, perform firmware flashing, and document recurring failures.
Bachelor’s degree or equivalent in Computer Science, Electrical/Electronics, Mechatronics, Mechanical, or related engineering field.
Experience: Early-career level, recent graduates up to ~2 years of experience.
Proficiency in software debugging and coding with Python and/or C/C++.
Comfortable with Linux shell usage, reading logs, flashing firmware, and basic hardware debugging tools (e.g., multimeter, serial console).
Regular user of AI coding assistants (Cursor, Claude Code, Codex) and adept at verifying AI outputs for correctness while driving engineering problem-solving.
Software-first engineer with curiosity about hardware who is hands-on with embedded systems, sensors, and robotics concepts (UART/I2C/SPI/CAN, ROS a plus).
Motivated to work in an early-stage, fast-moving robotics environment with responsibility for hardware-software integration and continuous reliability improvements.