Sensing Systems Engineer (Autonomous Vehicles)

TL;DR

Sensing Systems Engineer (Autonomous Vehicles): Owns the sensing subsystem across vehicle platforms, defining requirements, integrating sensors, and validating performance for autonomous driving model development and deployment with an accent on multi-sensor systems, calibration, and system-level decision-making. Focus on designing performance benchmarks, diagnosing sensing issues during vehicle bring-up, and connecting real-world data quality to ML model outcomes.

Location: Hybrid role based in the Sunnyvale, California office, with time working from home.

Salary: $276,000–$310,000 per year, plus equity.

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Own sensing system performance standards for model development, on-road performance, and sensor-data applications.
• Translate product and model needs into measurable sensing requirements and align them across Robotics, AV Product, Hardware, Vehicle Software, and Automotive Product.
• Support sensor integration, system architecture, configuration decisions, and new vehicle programs.
• Design validation frameworks, benchmarks, and acceptance criteria for vehicle bring-up.
• Diagnose sensor issues and coordinate cross-functional decisions during ambiguous or fast-moving bring-up phases.
• Evaluate how sensing quality affects ML performance and partner with ML teams to improve data and model outcomes.

Requirements

• 5+ years of experience in autonomous systems, robotics, automotive, or a closely related field, including real-world deployment or vehicle bring-up.
• Strong systems engineering skills with experience defining clear, testable sensing requirements.
• Hands-on experience integrating at least one primary sensor modality: camera, LiDAR, or radar.
• Working knowledge of perception and localization sensors, including IMU, GNSS, and wheel odometry.
• Experience evaluating sensor performance and defining metrics, benchmarks, and acceptance criteria.
• Experience collaborating with Hardware, Vehicle Software, ML, Perception, Localization, and Product teams.

Nice to have

• Autonomous driving or ADAS experience.
• Sensor calibration, time synchronization, and data alignment experience.
• Vehicle platform or embedded systems experience.
• Background in safety-critical or high-reliability systems, including SOTIF.

Culture & Benefits

• Hybrid work combining office and workshop collaboration with working from home.
• Competitive equity package in addition to base salary.
• Inclusive, diverse, and respectful working environment.
• Interview accommodations are available upon request.