Latest trends in the automated driving and MaaS industry with job market trends.

Autonomous driving technology has great potential to solve social issues, such as reducing traffic accidents, easing traffic congestion, making travel more efficient, and reducing environmental problems. At the same time, this technology is forming a new industrial ecosystem involving not only automobile manufacturers but also various industries such as IT companies, communication companies, semiconductors, and battery manufacturers. As a result, there is a growing demand for people with expertise and experience related to autonomous driving technology, and new career opportunities are being created in a wide range of occupations, including software development engineers, AI development engineers, sensor engineers, data analysts, and even project managers.
In this article, we will explore in detail the latest trends in autonomous driving technology in the automotive industry and the associated changes in the job market. From the cutting edge of technology to the possibility of career changes, we will explore the full scope of new opportunities brought by autonomous driving.

  • Hello! I am KF, an Auto tech consultant at Talisman Corporation, who will guide you through this content.
    I usually help people change jobs to the autonomous driving and MaaS industries, so I would be happy if you could use this page as a reference and ask me for advice.
    AutoTechTeam
    K.F

The Automotive Industry: A Transformation in a Century

Electrification and the development of autonomous driving technology

In 2023, global car sales reached 92.72 million units (*1), with the total market size of the automotive industry estimated at approximately ¥400 trillion, making it the largest industry globally. Over the past few decades, the industry has undergone significant technological advancements. Recently, the concept of “CASE” (Connected, Autonomous/Automated, Shared & Services, and Electrification) has gained significant attention, heralding a transformation that the industry describes as a “once-in-a-century revolution.”
Electric Vehicle (EV) sales have been steadily increasing. According to projections by the International Energy Agency (IEA), approximately 17 million EVs are expected to be sold in 2024, accounting for 20% of global new car sales (*2). This shift is crucial for achieving carbon neutrality, which aims to balance greenhouse gas emissions with their absorption.
Autonomous driving technology is also considered a cornerstone of the automotive industry’s future. It is highly anticipated for its potential to prevent accidents, improve traffic efficiency, and address labor shortages. Automotive manufacturers are focusing on developing sustainable transportation systems and offering innovative mobility services, driving the industry’s continued evolution.
(Source)
※1 OICA(国際自動車工業連合会)「Global Sales Statistics 2019 – 2023」
※2 IEA(国際エネルギー機関)Global EV Outlook 2024

Levels of Autonomous Driving and Key Technologies

Autonomous driving is classified into six levels, ranging from Level 0 (manual driving) to Level 5 (full automation). In Japan, Level 2 and Level 3 technologies have been commercialized. These technologies partially automate driving under specific conditions, allowing drivers to relinquish control in certain scenarios. For example, at Level 3, autonomous driving on highways is possible, enabling hands-off operations under defined conditions.

Levels of Autonomous Driving Driving Entity Overview
0 – No driving automation Driver The driver is responsible for all driving tasks. Traditional vehicles without ADAS (Advanced Driver Assistance Systems)
1 – Driver assistance Driver The system controls the vehicle either forward/backward or left/right (either accelerator/brake operation or steering operation is partially automated).
Examples include automatic braking, following the vehicle in front (ACC: Adaptive Cruise Control), and staying within the lane (LKAS: Lane Keep Assist System).
2 – Partially automated driving Driver The system performs the dynamic driving task of controlling vehicle motion in both longitudinal and lateral directions (accelerating, braking and steering) within a limited area.
3 – Conditional Driving Automation system The system performs all driving tasks under certain conditions. During autonomous driving, the system takes over as the driver, but the driver must respond appropriately to requests for intervention from the system.
4 – Highly automated driving system The system performs all driving tasks, and responds to situations where it is difficult to continue operation in a limited area.
5 – Fully autonomous system The system constantly performs all driving tasks and takes over all driving operations.

For a car to drive autonomously, it must replicate three critical human actions: perception, decision-making, and control. Below, we highlight some of the key technologies enabling autonomous driving.

Cognition LiDAR This technology allows vehicles to detect surrounding objects and terrain with high accuracy. It measures the time it takes for laser light to hit an object and bounce back, and is used to measure the distance and direction to an object and identify other vehicles and obstacles.
Cognition HD Maps High-precision 3D map data is essential for autonomous vehicles to determine their exact position down to the centimeter, and to make decisions based on traffic rules and terrain.
Judgment AI (Artificial Intelligence) AI technology plays a vital role in enabling autonomous vehicles to recognize their environment and make decisions. Deep learning and data analysis allow vehicles to understand their surroundings and make optimal driving decisions.
operation Software Development Software is the core component that enables safe driving of a vehicle. It is the program that processes the data obtained from each sensor and controls the movement of the vehicle.

Trends in autonomous driving in each country (technological trends and regulations) *2025/4/10 updated

With the advancement of autonomous driving technology, countries and companies around the world are competing in its development, while regulatory frameworks are also being established in parallel. The simultaneous evolution of electrification and autonomous driving is contributing to the provision of cleaner transportation and more efficient traffic infrastructure. In the market, transformative impacts are expected across various sectors, including reductions in traffic accidents, greater efficiency in logistics, and the reconstruction of urban transportation systems.

  • USA
    Companies like Waymo and Cruise are conducting trials and deploying Level 3 to Level 4 autonomous driving technologies. In particular, Waymo, a subsidiary of Alphabet, began offering Level 4 autonomous taxi services to the public in parts of Los Angeles starting in November 2024, following services in San Francisco, California, and Phoenix, Arizona. They plan to gradually expand these service areas. In October 2024, Tesla unveiled a prototype of an EV taxi featuring Level 4 autonomous driving, with plans to offer it for under $30,000 (approximately 4.5 million yen). Production is scheduled to begin in 2026. Additionally, Tesla plans to launch its robotaxi service in Austin, Texas in June 2025, with expansion to other cities later in the year.
  • China
    Autonomous driving services are becoming more integrated in China compared to other countries. Companies like WeRide and tech giant Baidu are operating Level 4 robotaxi services. These companies have also obtained operational licenses outside China and plan to launch services in the U.S., UAE, Singapore, France, and other countries. A new regulation implemented in Beijing in April 2025 allows privately owned vehicles with Level 3 or higher autonomous driving to operate on public roads, which is expected to further accelerate innovation and product development.
  • Japan
    Toyota and Honda are actively developing autonomous driving technologies. Toyota is aiming to implement commercial operations of autonomous vehicles in urban areas as part of its vision for MaaS (Mobility as a Service). Honda has established itself as a technological leader in Japan by releasing the world’s first mass-produced vehicle equipped with Level 3 autonomous driving technology, the Legend.
    Regarding autonomous taxis, Waymo announced a partnership with Nihon Kotsu and GO to begin autonomous vehicle trials in Tokyo in early 2025 as part of an international road trip initiative.
    Additionally, some municipalities have already started operating buses with Level 2 to 4 technologies, raising hopes that this can help alleviate the bus driver shortages currently affecting many companies.
    From autumn 2025, Toyota plans to begin pilot testing in Woven City, currently under construction in Susono City, Shizuoka Prefecture. This “living laboratory” integrates autonomous driving, AI, robotics, and renewable energy. The first phase will involve approximately 360 residents, and the project is attracting significant attention.

Progress in Autonomous Driving and Safety Concerns
On March 29, 2025, a tragic accident involving Xiaomi’s electric vehicle “SU7” in Anhui Province, China, resulted in the deaths of three university students. This incident has reignited discussions around the safety of driver-assistance systems. Although the vehicle issued a warning after detecting an obstacle while operating in smart assist mode on a highway, it failed to avoid a collision.
Similar fatal accidents have occurred in the United States in the past. While autonomous driving offers convenience and efficiency, it also raises safety and ethical issues. These incidents highlight that autonomous driving technology is still in a developmental stage. Collaborative efforts among companies, regulators, and users are essential to improving safety. It is important to recognize that “technology is not meant to fully replace humans, but to complement them,” and to prioritize safety in its deployment.

Japan’s Mobility DX Strategy

As the technological development race intensifies in each country as described above, Japan formulated the “Mobility DX Strategy” in May 2024 after public-private discussions under the leadership of the Ministry of Economy, Trade and Industry. The ultimate goal of the strategy is for Japan to achieve a 30% share of global sales of SDVs (*) by 2035.
※SDV(Software Defined Vehicle):A vehicle equipped with bidirectional communication capabilities between the car and external systems, allowing software updates that enable the addition of new features and performance enhancements even after the vehicle has been sold.

Source:経済産業省2024年5月策定「モビリティDX戦略」

 

In the strategic roadmap, the government has set a KPI for the mobility services sector of realizing transportation services utilizing Level 4 autonomous driving systems in around 50 locations nationwide by fiscal 2025, and at more than 100 locations by fiscal 2027. In addition, measures are included to secure software engineering talent, and there is a strong recognition of the challenges in terms of human resources , with plans to launch a community called the “Mobility DX Platform.”

The Autonomous Driving and MaaS Industry Map

The image is an industry map created by the 35ish editorial department that lists notable autonomous driving and MaaS companies by segment.

Of course, the major automobile and semiconductor manufacturers are the most obvious Japanese companies (shown in bold red), but below we will introduce some particularly noteworthy startup companies.

  • Turing Co., Ltd.
    Although Turing was founded in August 2021, it has been promoting itself as an “automobile manufacturer” from the beginning. CEO Yamamoto stated that “we will create a finished car manufacturer that will surpass Tesla,” and has set its mission as “We Overtake Tesla.” Another noteworthy point is that the company has set a goal of mass-producing 10,000 fully autonomous EVs by 2030.
  • SmartDrive Co., Ltd.
    (since 2013) has set the vision of “supporting the evolution of mobility” since its founding, and collects and analyzes various sensor data related to moving objects and deploys it on an open platform. It has a track record of implementation and partnerships with many large companies, and was listed on the Tokyo Stock Exchange Growth Market in December 2022.

Below is a list of noteworthy companies related to autonomous driving technology. You can also search by category, so please use it to gather information.
*Created by the 35ish editorial department based on the client list (including candidates) of the Talisman AutoTech specialist team.

分類企業名 / Website
AUTONOMOUS SOLUTIONSAudi
AUTONOMOUS SOLUTIONSFord
AUTONOMOUS SOLUTIONSHyundai
AUTONOMOUS SOLUTIONSKIA motors
AUTONOMOUS SOLUTIONSStellantis
AUTONOMOUS SOLUTIONSVolkswagen
AUTONOMOUS SOLUTIONSToyota
AUTONOMOUS SOLUTIONSNissan
AUTONOMOUS SOLUTIONSBAIC
AUTONOMOUS SOLUTIONSMercedes-Benz
AUTONOMOUS SOLUTIONSBMW
AUTONOMOUS SOLUTIONSGM
AUTONOMOUS SOLUTIONSHonda
AUTONOMOUS SOLUTIONSJaguar
AUTONOMOUS SOLUTIONSGEELY
AUTONOMOUS SOLUTIONSRenault
AUTONOMOUS SOLUTIONSTesla
AUTONOMOUS SOLUTIONSVolvo
AUTONOMOUS SOLUTIONSSAIC
AUTONOMOUS SOLUTIONSCHANGAN
AUTONOMOUS SOLUTIONSCHERY
AUTONOMOUS SOLUTIONSWaymo
AUTONOMOUS SOLUTIONSLYFT
AUTONOMOUS SOLUTIONSNAVYA
AUTONOMOUS SOLUTIONSTorc Robotics
AUTONOMOUS SOLUTIONSSD advanced engineering
AUTONOMOUS SOLUTIONSUber
AUTONOMOUS SOLUTIONSEasy mile
AUTONOMOUS SOLUTIONS2get there
AUTONOMOUS SOLUTIONSBaidu 百度
AUTONOMOUS SOLUTIONSZoox
AUTONOMOUS SOLUTIONSNauto
AUTONOMOUS SOLUTIONSMay mobility
AUTONOMOUS SOLUTIONSNXP
AUTONOMOUS SOLUTIONSZF
AUTONOMOUS SOLUTIONSNVIDIA
AUTONOMOUS SOLUTIONSMAGNA
AUTONOMOUS SOLUTIONSContinental
AUTONOMOUS SOLUTIONSBOSCH
AUTONOMOUS SOLUTIONSAptiv
AUTONOMOUS SOLUTIONSHITACHI
AUTONOMOUS SOLUTIONSRenesas
AUTONOMOUS SOLUTIONSSAMSUNG
AUTONOMOUS SOLUTIONSintel
AUTONOMOUS SOLUTIONSVisteon
AUTONOMOUS SOLUTIONSZMP
AUTONOMOUS SOLUTIONSRoboCV
AUTONOMOUS SOLUTIONSTuring
PROCESSINGRenesas
PROCESSINGNVIDIA
PROCESSINGMobileye
PROCESSINGKALRAY
PROCESSINGSynopsys
PROCESSINGNXP
PROCESSINGTOSHIBA
PROCESSINGCEVA
PROCESSINGcadence
PROCESSINGImagination Technologies
PROCESSINGAnalog Devices
PROCESSINGAMD
PROCESSINGintel
PROCESSINGarm
PROCESSINGOutsight
PROCESSINGST
PROCESSINGvideantis
PROCESSINGTexas Instrument
PROCESSINGMARVELL
PROCESSINGGraphcore
PROCESSINGQualcomm
PROCESSINGAI motive
SENSINGBOSCH
SENSINGTexas Instrument
SENSINGZF
SENSINGMitsubishi
SENSINGContinental
SENSINGmicrovision
SENSINGValeo
SENSINGXenomatiX
SENSINGarbe
SENSINGTOSHIBA
SENSINGHITACHI
SENSINGLuminar
SENSINGAutoliv
SENSINGKOSTAL
SENSINGHYUNDAI MOBIS
SENSINGAptiv
SENSINGINNOVIZ
SENSINGPioneer
SENSINGDENSO
SENSINGrobosense
SENSINGLG Innotek
SENSINGLYNRED
SENSINGPanasonic
SENSINGHARMAN
SENSINGDenso ten
SENSINGMAGNA
SENSINGOUSTER
SENSINGTetraVue
SENSINGQUANERGY
SENSINGAeye
SENSINGTeledyne FLIR
SENSINGFORVIA HELLA
SENSINGnovatel
SENSINGInfineon Technologies
SENSINGECHODYNE
SENSINGHL Mando
SENSINGLeddar Tech
SENSINGTrimble Applanix
SENSINGNXP
SENSINGTrimble
SENSINGU-blox
SENSINGHoneywell
SENSINGSBG SYSTEMS
SENSINGOMNIVISION
SENSINGOSRAM
SENSINGSIMENS
SENSINGMelexis
SENSINGLumentum
SENSINGSONY
DATA/CONNECTIVITYHITACHI
DATA/CONNECTIVITYRenesas
DATA/CONNECTIVITYNXP
DATA/CONNECTIVITYContinental
DATA/CONNECTIVITYTexas Instrument
DATA/CONNECTIVITYBlackBerry QNX
DATA/CONNECTIVITYBOSCH
DATA/CONNECTIVITYMARVELL
DATA/CONNECTIVITYAnalog Devices
DATA/CONNECTIVITYSemtech
DATA/CONNECTIVITYintel
DATA/CONNECTIVITYRealtek
DATA/CONNECTIVITYCohda Wireless
DATA/CONNECTIVITYBROADCOM
DATA/CONNECTIVITYTTTech
DATA/CONNECTIVITYTE Connectivity
DATA/CONNECTIVITYValens
DATA/CONNECTIVITYElektrobit
DATA/CONNECTIVITYmicrochip
DATA/CONNECTIVITYDENSO
DATA/CONNECTIVITYHARMAN
DATA/CONNECTIVITYInfineon Technologies
DATA/CONNECTIVITYSIMENS EDA
DATA/CONNECTIVITYmolex
DATA/CONNECTIVITYSmartDrive
DATA/CONNECTIVITYGreenRoad
DATA/CONNECTIVITYW-Locate
DATA/CONNECTIVITYVnomics
DATA/CONNECTIVITYZONAR
DATA/CONNECTIVITYPeloton Technology
DATA/CONNECTIVITYCar IQ
DATA/CONNECTIVITYIMS
DATA/CONNECTIVITYmetromile
DATA/CONNECTIVITYZubie
DATA/CONNECTIVITYVinli
DATA/CONNECTIVITYMOJIO
DATA/CONNECTIVITYAirbiquity
DATA/CONNECTIVITYAutomile
MAPPINGTomTom
MAPPINGhere
MAPPINGGoogle
MAPPINGNavInfo
MAPPINGSanborn
MAPPINGDynamic Map Platform
MAPPINGDEEPMAP
MAPPINGGeoDigital
MAPPINGGeo Technologies
MAPPINGCivil Maps
SOFTWARE/ALGOBaidu 百度
SOFTWARE/ALGOMapbox
SOFTWARE/ALGOZENRIN
SOFTWARE/ALGOTrimble Applanix
SOFTWARE/ALGOapollo
SOFTWARE/ALGOElektrobit
SOFTWARE/ALGOdSPACE
SOFTWARE/ALGONVIDIA
SOFTWARE/ALGOAI motive
SOFTWARE/ALGOFive AI
SOFTWARE/ALGOMitsubishi
SOFTWARE/ALGOoxa
SOFTWARE/ALGOOutsight
SOFTWARE/ALGOKPIT
SOFTWARE/ALGOBASELABS
SOFTWARE/ALGOLuxoft
SOFTWARE/ALGONeusoft
SOFTWARE/ALGONauto
SOFTWARE/ALGOMobileye
SOFTWARE/ALGOHCL tech
SOFTWARE/ALGOAURORA
SECURITY/SAFETYHARMAN
SECURITY/SAFETYKaramba Security
SECURITY/SAFETYBOSCH
SECURITY/SAFETYSIMENS EDA
SECURITY/SAFETYAptiv
SECURITY/SAFETYContinental
SECURITY/SAFETYWind River
SECURITY/SAFETYHITACHI
SECURITY/SAFETYNXP
SECURITY/SAFETYIBM
SECURITY/SAFETYverizon
SECURITY/SAFETYRenesas
SECURITY/SAFETYPlaxidityX
SECURITY/SAFETYBlackBerry QNX
SECURITY/SAFETYintel
SECURITY/SAFETYDENSO
SECURITY/SAFETYETAS
SECURITY/SAFETYGreen Hills Software
SECURITY/SAFETYLYNX
SECURITY/SAFETYsecunet
SECURITY/SAFETYirdeto
SECURITY/SAFETYSynopsys
SECURITY/SAFETYST
SECURITY/SAFETYKPIT
SECURITY/SAFETYRambus
SECURITY/SAFETYTexas Instrument
SECURITY/SAFETYInfineon Technologies
SECURITY/SAFETYVECTOR
SECURITY/SAFETYCAMBRIDGE MOBILE TELEMATICS
SECURITY/SAFETYLytx
DEVELOPMENT TOOLSHCL tech
DEVELOPMENT TOOLSAnsys
DEVELOPMENT TOOLSPolysync
DEVELOPMENT TOOLSESI
DEVELOPMENT TOOLSIAR
DEVELOPMENT TOOLSDataspeed Inc.
DEVELOPMENT TOOLSINTEMPORA
DEVELOPMENT TOOLSLDRA
DEVELOPMENT TOOLSMechanical Simulation
DEVELOPMENT TOOLSMathWorks
DEVELOPMENT TOOLSSynopsys
DEVELOPMENT TOOLSTTTech
DEVELOPMENT TOOLSdSPACE
DEVELOPMENT TOOLSIAV
DEVELOPMENT TOOLSETAS
DEVELOPMENT TOOLSElektrobit
DEVELOPMENT TOOLSAdaCore
DEVELOPMENT TOOLSKPIT
DEVELOPMENT TOOLSSIMENS
DEVELOPMENT TOOLSVECTOR
DEVELOPMENT TOOLSb-plus
DEVELOPMENT TOOLSBASELABS
DEVELOPMENT TOOLSIPG
DEVELOPMENT TOOLSSIMENS EDA
DEVELOPMENT TOOLSAMD
DEVELOPMENT TOOLSMaplesoft
DEVELOPMENT TOOLSAutonomouStuff
DEVELOPMENT TOOLSTata Elxsi

Current state of the automotive job market

The automotive industry is undergoing a period of great change, and the demand for IT professionals is growing rapidly. In this section, we will explain the current recruitment situation in the automotive industry and the type of people required.

Overall recruitment trends

In the automotive industry, software-related job openings are increasing rapidly. This is due to the advancement of SDV (Software Defined Vehicles), which means that software is having a major impact on vehicle functions and performance. In particular, with the spread of 5G technology, there is a growing need for hiring in the connected field, including autonomous driving systems, vehicle network connections, and OTA (Over The Air: software updates and information collection using wireless communication). This trend is also spreading to the fields of in-vehicle systems and cybersecurity, and the number of job openings has increased significantly in recent years.

Areas where job openings are on the rise

Software-related job openings are increasing in areas such as autonomous driving technology, connected systems, cybersecurity, and MaaS (Mobility as a Service) . Hiring is underway in a wide range of positions, with many job openings in the MaaS field in particular related to data analysis and mobile app development.
Systems engineers and infrastructure engineers are often hired with a focus on system development and operation skills, making these positions easy to try even for those without experience in the automotive industry. On the other hand, experience in the automotive industry is often a requirement for embedded engineers, and job changes within the industry are common. Model-based development (MBD) using simulations has become mainstream in the development of ADAS (Advanced Driver Assistance System) and AD (Autonomous Driving), and it offers various benefits such as the ability to test more situations than traditional real-vehicle testing. Therefore, engineers with model and simulation development skills are needed.

Desired personality and skills

  • Work experience rather than academic background
    The automotive industry as a whole tends to emphasize work experience over academic background. In actual job postings, the job description often only states “university graduate, science major (technical)”. When changing jobs, regardless of industry, you should focus on your experience and skills from your previous job when preparing your application documents and preparing for interviews.

  • A strong passion for manufacturing.
    Because the automobile industry is about “manufacturing,” there are many people who have a strong passion for technology and a craftsman-like nature, especially among embedded engineers. Creativity and inquisitiveness are important factors, and an attitude of proactively learning new technologies and continuing to have a technical inquisitiveness is highly valued.

  • In the field of autonomous driving technology
    The field of autonomous driving technology particularly welcomes individuals with the following specialized knowledge and skills:
    • <DAS (Driver Assistance Systems) Camera: This is a camera technology that detects the situation around the vehicle. These cameras are used in systems that assist with lane keeping, collision avoidance, traffic sign recognition, etc. People who are knowledgeable about DAS camera design and data processing are highly valued.
    • AUTOSAR (AUTomotive Open System ARchitecture) : A software architecture standard widely used in the automotive industry. AUTOSAR can increase the compatibility and efficiency of in-vehicle software, so people with this knowledge are important in the development of autonomous vehicles.
    • MATLAB/Simulink/Stateflow : These are tools used for modeling, simulation, and algorithm development. In autonomous driving technology, these tools are used to simulate vehicle control systems and operations, so people who are familiar with these tools are required.
    • ECU (Electronic Control Unit) : An electronic control unit that handles various control functions within a vehicle. Autonomous driving systems require automatic control of the entire vehicle, including braking, steering, engine, etc., so people with an understanding of ECUs are welcome in development sites.

    People with knowledge of these technologies will be highly valued as they can contribute to improving the accuracy and safety of self-driving cars.

Tips for job hunting in the autonomous driving and MaaS industry

1. How to search for jobs

① Use major job search sites

  • LinkedIn↗︎
    LinkedIn is a powerful tool that allows you to directly connect with automotive companies and recruiters through a global network. By updating your profile with the latest information and highlighting your relevant skills and experience, you can expect to be scouted by agents and recruiters.
  • doda↗︎
    “doda” is a general job and career change site that is widely used in Japan. In the automotive industry, there are sometimes more than 100 scouts in a month , probably because the number of registered candidates is small compared to the hiring needs.

② Use agents and scouting services

Benefits of using a recruitment agency
Recruitment agencies who are familiar with the automotive industry are more likely to introduce non-public job openings, and many people are scouted through agencies. In addition, they can also provide support for brushing up your application documents and preparing for interviews, so you can proceed with confidence even if it is your first time changing jobs.
Talisman has a consulting team that specializes in the automotive industry. We are particularly strong in embedded systems, and can introduce you to multiple companies.
AutoTechTeam
K.F
As with any medium, getting scouted
requires a little trick to receive quality scouts. No matter how great your skills and experience are, they cannot be seen in a simple profile that only lists your job title. If you can make your profile look attractive by detailing your technical skills and experience in development projects, you will be more likely to catch the attention of corporate recruiters.

2. Interview preparation specific to the automotive industry

① Important points for the interview

1. Demonstrate your achievements
In an automotive interview, it is important to demonstrate your specific experience and achievements, especially for technical roles. Interviewers will ask for details of past projects and work to evaluate your technical skills. It is effective to explain your specific achievements, your role in the project, the technologies and tools you used, and how you dealt with challenges you faced with numbers and concrete examples.

2. Understanding of industry knowledge and trends
The automotive industry is undergoing rapid technological innovation such as CASE, so you need to show that you are familiar with the latest industry trends and technological developments. During the interview, you may be asked for your views on things like “How are you responding to current industry trends?” and “How will the development of autonomous driving technology and electrification affect the industry in the future?” You can make a strong impression by demonstrating your knowledge and highlighting how you can contribute with an eye to the future of the industry.

② Examples of frequently asked questions

In interviews for the automotive industry, you will often see questions about industry-specific expertise and work experience. Below are some examples of commonly asked questions.

Technical experience questions

“Tell us about a vehicle design or development project you have been involved in. What challenges did you face and how did you deal with them?”

“What techniques and tools did you use to work on the mechanical design and electronic control systems of the car?”

“Please explain in detail your experience developing electrification and autonomous driving technologies.”

Industry experience questions

“What has been your most successful project in the automotive industry so far?”

“How do you keep up with trends and latest technological developments in the automotive industry?”

“Have you ever collaborated across departments in a previous job? How did that experience benefit the project?”

Support from Talisman

To successfully transition into the automotive industry, we recommend getting professional support. Talisman offers comprehensive support tailored to the needs of job seekers. Below are the main areas of support we offer:

1. Resume Review and Application Document Enhancement

Confirming your aspirations and desired conditions
First, we listen in detail to your specific career goals, work location, and position preferences. By confirming the desired technical field and career path, we identify the best company and position for the candidate. Through this process, we achieve a high level of matching accuracy that cannot be achieved by direct applications.
Brushing up your resume
We will also review your application documents before submitting them to the company, and can provide advice if necessary. In addition, there may be cases where a resume in two languages ​​is required. Talisman has multiple bilingual consultants and foreign consultants on staff, so we can handle resumes in Japanese, English, and Chinese.

2. Interview preparation and follow-up support

Reducing Anxiety and Preparing for Interviews
We help candidates address any concerns or questions they have before interviews, ensuring they can approach the process with confidence. Our support includes guidance on answering specific questions and preparing for technical queries unique to the automotive industry. After interviews, we provide prompt feedback, highlighting next steps and areas for improvement.
Adapting to Different Interview Styles
For international candidates, we offer detailed explanations of Japanese interview styles and corporate culture. We also assist with scheduling interviews and adapting to the specific requirements of each position. Acting as the liaison with the hiring companies, we ensure a smooth process from initial contact to receiving an offer, helping candidates navigate the journey with ease.

3. Coordination of Multiple Recruitment Processes

Schedule adjustment and information sharing
When candidates are engaged in interviews with multiple companies, we manage schedules and keep track of each selection stage. This coordination allows candidates to handle multiple processes efficiently and make decisions at the best possible time without feeling overwhelmed. Utilizing an agent ensures a smoother experience and maximizes opportunities for a successful career move.

タリスマンに転職相談をする

MaaS関連の求人を探す

This article was supervised by Specialist autotech team
Comment by K.F
The automated driving and MaaS industry has moved beyond the existing automotive industry and merged with software engineering. Now, this new ecosystem is looking for people with a wide range of expertise. We have connections with a wide range of companies, from foreign and Japanese global companies to start-ups, and will do our best to support you in your new job.

PickUp求人情報

下記求人情報の詳細はオートテック専門チームまでお問い合わせください

  • 【アプリケーションエンジニア】
  • 外資系EVアプリ開発企業
  • 電子制御ユニット(ECU)のテストのためのシミュレーションの分野を担当頂きます。MATLAB/Simulinkを用いたシミュレーション実務経験必須。
  • 年収:600~700万円/勤務地:東京
  • 【Embedded Engineer】
  • 外資系EVアプリ開発企業
  • 電子制御ユニット(ECU)をはじめとした組込ソフトウエア開発に必要なシステムのカスタマイズ/技術サポート/導入支援/コンサルティングなどを行っていただきます。組込ソフトウェア開発経験 (マイコンを対象としたC言語開発等)、英語力必須
  • 年収:500~1100万円/勤務地:東京

  • 【ビジネスディベロップメントマネージャー】
  • 大手外資系カーエレクトロニクス開発企業
  • 車載組込ソフトウェアプロダクトの導入提案などのプリセールス活動をご担当頂きます。分野問わず、組込ソフトウェア開発経験3年以上、英語必須
  • 年収:800~1200万円/勤務地:東京or大阪or名古屋
  • 【アプリケーションエンジニア】
  • 外資系ITメーカー
  • ラピッドプロトタイピング製品のエンジニアリング・コンサルティングサービスの提供を担当頂きます。業界を問わず、リアルタイム処理が必要な機器の研究開発・設計のご経験およびC言語、Python、MATLAB/Simulinkいずれかのご経験必須。
  • 年収:500万円~1100万円/勤務地:東京

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