Senior System Integration Engineer

Description

Innoviz Technologies is a global leader in advanced LiDAR and perception solutions, trusted by leading automotive and industrial brands to enable safer, smarter autonomous vehicles worldwide.

We are looking for a Senior System Integration Engineer to join our fast‑paced, innovative team responsible for bringing complex LiDAR systems together into a cohesive, high‑performance product. This role is ideal for a hands‑on who thrives on multidisciplinary problem‑solving, system bring‑up, and driving features from early integration through customer delivery.

What You'll Do

• Lead system integration activities across the LiDAR development lifecycle, from initial bring‑up through validation and customer deployment.
• Integrate hardware, firmware, software, tools and algorithms into a unified LiDAR system, ensuring seamless functionality across disciplines.
• Plan and execute system‑level integration tests, debug complex issues, and drive root‑cause analysis with cross‑functional teams.
• Develop and maintain integration workflows, test setups, and automation tools to accelerate development and validation.
• Collaborate on requirements refinement, system architecture discussions, and design reviews to ensure integration readiness.
• Build Python‑based tools for data analysis, test automation, and rapid prototyping to support integration and characterization activities.
• Support development processes aligned with Automotive SPICE and other automotive quality standards.
  
  

• 5+ years of hands‑on experience in multidisciplinary system integration or system engineering.
• B.Sc. in Electrical Engineering, Physics, Computer Science, or equivalent from a leading institution (M.Sc. an advantage).
• Strong understanding of electro‑opto‑mechanical systems, calibration workflows, and system bring‑up methodologies.
• Proficiency in Python for data analysis, automation, and test development.
• Demonstrated ability to debug high‑complexity systems involving hardware, software, and algorithms.
• Hands‑on experience with lab equipment, system characterization, and physical measurements (advantage).
• Fast learner with the ability to adapt quickly to new tools, technologies, and development environments.
• Proven track record of delivering results in a fast‑paced, dynamic environment.
• Excellent communication skills and ability to collaborate effectively with cross‑functional engineering teams.