ADAS Feature Engineer (AI)

Location: Tokyo, Japan; hybrid working model with in-person collaboration and remote work.

Company

hirify.global is building an AI platform for autonomous driving that learns from real-world experience and integrates with global OEM partners to support scalable vehicle automation.

What you will do

• Design, implement, and maintain C++ application software for ADAS and active-safety vehicle features.
• Build feature-level logic on top of AI and ML outputs, including validation checks, state machines, fallback behaviours, and safety-aware decision logic.
• Use logs, simulation, replay, and vehicle testing to debug, tune, and validate feature behaviour.
• Define metrics, test cases, and validation strategies for ADAS performance, robustness, and quality.
• Collaborate with ML, product, systems, vehicle integration, and OEM-facing teams to turn requirements into engineering solutions.
• Support field testing and contribute to software architecture, tooling, code quality, and engineering practices.

Requirements

• Strong C++ software engineering experience, ideally in production or safety-relevant systems.
• Hands-on experience in ADAS, autonomous driving, robotics, vehicle software, active safety, or a related domain.
• Practical experience with real-world testing, simulation, replay, logs, or prototype vehicle debugging.
• Ability to reason about vehicle behaviour, sensor and model inputs, timing, failure modes, and feature-level decision logic.
• Experience collaborating with ML, perception, planning, controls, vehicle integration, product, or systems engineering teams.
• Experience writing testable, maintainable software and using data to validate behaviour.

Nice to have

• Experience with ADAS features such as AEB, ISA, AES, ACC, lane keeping, collision avoidance, trajectory validation, or active safety systems.
• Experience at an automotive OEM, Tier 1 supplier, autonomous driving company, robotics company, or vehicle technology startup.
• Familiarity with ROS, Linux, Bazel, CMake, Docker, QNX, protobuf, MCAP, CAN, calibration, or vehicle logging systems.
• Experience with vehicle test tracks, public-road testing, HIL/SIL, scenario-based testing, or NCAP-style validation.
• Japanese language skills are beneficial but not required.

Culture & Benefits

• Hybrid working with core hours, office collaboration, and hands-on work in vehicle workshops and labs.
• Relocation support and visa sponsorship where applicable.
• Market-benchmarked salaries and meaningful equity participation.
• Learning and development budgets for training, conferences, and professional growth.
• Benefits may include health and dental insurance, enhanced parental leave, retirement or pension provisions, therapy access, wellbeing partnerships, and team socials.
• An evolving environment with significant ownership in shaping engineering practices and ways of working.

Hiring process

• Initial recruiter call lasting approximately 30 minutes.
• Competency interviews covering C++ programming, followed by technical interviews on ADAS or autonomous-driving knowledge, system design, and technical leadership.
• Final interview focused on mission and values alignment.