Full-Time
EV hardware and autonomous-systems supplier
No salary listed
Danville, KY, USA
Hybrid
Hybrid: minimum 3 days in office per week.
Bachelor's, Master's
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Astemo designs and builds essential vehicle systems as a global supplier, providing hardware and software for modern cars, including electric powertrain components, inverters, ADAS, chassis, and motorcycle parts. Its products combine mechanical hardware with software and control systems to enable electrification, autonomy, and smart vehicle functions, such as motors and inverters driving propulsion and software controls for safety features. The company differentiates itself by the scale and integration gained from merging Hitachi Automotive Systems with Honda’s Keihin, Showa, and Nissin Kogyo, enabling end-to-end, software-enabled mobility solutions. Its goal is to be a leading partner to automakers by expanding electric-vehicle offerings and developing integrated control systems for next-generation mobility.
Company Size
10,001+
Company Stage
N/A
Total Funding
N/A
Headquarters
Tokyo, Japan
Founded
2021
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Wellness Program
Mental Health Support
Remote Work Options
Flexible Work Hours
Paid Vacation
Paid Sick Leave
401(k) Retirement Plan
401(k) Company Match
Conference Attendance Budget
Professional Development Budget
Stock Options
Company Equity
Phone/Internet Stipend
Home Office Stipend
Healthcare Insurance
Dental Insurance
Vision Insurance
Parental Leave
Family Planning Benefits
Fertility Treatment Support
Adoption Assistance
Childcare Support
Relocation Assistance
Meal Benefits
Employee Discounts
Gym Membership
Sabbatical Leave
Tuition Reimbursement
Professional Certification Support
Mentorship Program
Education allowance
Training Programs
HR programs
Commuter Benefits
Micron Technology finalizes Strategic Customer Agreements with global automotive leaders. July 17, 2026 The international transportation landscape has reached a profound structural turning point. For nearly a century, an automaker's competitive differentiation was defined strictly by mechanical engineering precision-the internal displacement of an engine block, the hydraulic tuning of a transmission, and the aerodynamic silhouette of a steel chassis. Today, that legacy paradigm has been replaced by a new computing standard: the Software-Defined Vehicle (SDV). In a modern vehicle, the user experience is driven entirely by high-performance edge computation. Functions such as multi-camera Advanced Driver Assistance Systems (ADAS), automated parking matrices, high-fidelity digital cockpits, and local generative AI voice assistants require automobiles to operate as mobile, high-speed data factories. Machine Learning & Artificial Intelligence However, shifting to an AI-native vehicular architecture introduces a massive, industry-wide operational bottleneck. Because real-time sensor loops and in-cabin machine learning inference models parse gigabytes of unstructured data per second, modern vehicles require immense, specialized memory and storage capacities. Discover more Company News People & Society Business & Industrial This surge in demand arrives at a time when global chip availability is heavily constrained by an ongoing infrastructure boom in cloud data centers, which drains global memory capacity. Because automotive electronics must meet strict environmental durability standards and remain in production across long vehicle lifecycles, automakers cannot simply purchase generic consumer-grade electronics on the volatile spot market. To secure this critical hardware foundation, memory and storage giant Micron Technology, Inc. announced the completion of several landmark Strategic Customer Agreements (SCAs) with key Tier 1 automotive suppliers and ecosystem platform partners. By locking in three-to-five-year supply and pricing commitments with dominant technology leaders-including Qualcomm, Hyundai Mobis, HARMAN, DENSO, Visteon, Astemo, and JOYNEXT-Micron is moving past traditional transactional purchasing models to establish a highly resilient, collaborative component pipeline across the global automotive market. Unveiling a resilient, multi-year silicon perimeter. The finalization of these ecosystem SCAs formalizes a deeper operational alliance between silicon foundries and Tier 1 automotive component builders. Rather than navigating fragmented component brokers, the world's leading automotive technology suppliers are securing their critical memory assets directly from the primary manufacturing source. These agreements build upon similar long-term deals completed earlier in the month with major original equipment manufacturers (OEMs) like Ford and General Motors, representing a comprehensive push by Micron to insulate its factory utilization rates from sudden market downturns. The unified ecosystem framework introduces several critical capabilities: The Strategic Customer Agreement Structure: The contracts rely on fixed, multi-year volume and pricing frameworks. This mechanism insulates Tier 1 electronics builders from sudden pricing spikes while granting Micron high predictability for long-term manufacturing capacity planning. Deep Co-Design Integration: Beyond basic component sales, the agreements establish a permanent technology feedback loop. Micron's engineers will collaborate directly with platform designers at Qualcomm and Visteon, mapping future LPDRAM and automotive NAND layouts to match next-generation digital cockpit system architectures. Balancing Technology Cycles with Durability: The agreements address a core industry challenge: balancing the rapid adoption of advanced consumer technologies (like AI inference chips) with the traditionally extended product lifecycles and rigorous qualification tests required for road safety. Engineering & Technology Global Supply Continuity: The agreements leverage Micron's diversified manufacturing footprint-including its advanced automotive DRAM fabrication fab in Manassas, Virginia - to guarantee geographic redundancy and shield the automotive sector from regional logistics disruptions. Impact on the automotive industry. The structural alliance engineered by Micron and its Tier 1 partners marks an important evolutionary step for the broader Automotive landscape, changing how technology assets are secured: 1. The Absolute Elimination of "Just-in-Time" Sourcing for Silicon For decades, the global automotive supply chain relied on absolute asset reduction - ordering electronic components only weeks before vehicle assembly to keep internal overhead low. The severe supply gridlocks experienced during recent chip shortages proved that this model is incompatible with advanced silicon. This multi-party deal demonstrates that Vertical Supply Security is now an institutional requirement. Automotive electronics providers are acting as direct financial partners to semiconductor foundries, dedicating capital years in advance to guarantee their assembly lines remain protected. 2. Increasing Speed of Standardized Edge AI Hardware Adoption The changing needs of consumers to have intuitive, smartphone-based user experience in their vehicles is putting manufacturers under tremendous pressure to quickly deliver software updates. Securing a multi-year inventory of high bandwidth memory chips will give platform providers such as HARMAN and Hyundai Mobis the ability to create very robust software road maps. The software engineers can be sure that the software they develop is for a guaranteed multi-year life cycle of hardware. Overall effects on businesses operating in the sector. For commercial electronics design firms, third-party software developers, and automotive fleet operators navigating this connected landscape, the ecosystem expansion introduces direct strategic advantages: Slicing Operational Expenses via Production Predictability: Unexpected component shortages frequently erode margins for parts builders locked into rigid contracts with global automakers. Access to a pre-validated, direct foundry line eliminates pricing surprises, protecting corporate production budgets from unexpected market inflation. Future-Proofing Platform Safety Valuations: Relying on unvalidated, generic memory arrays leaves automated driving features exposed to data transmission lag and thermal failures. Anchoring digital architectures to hardened, long-lifecycle automotive memory blocks ensures that critical safety features remain stable across decades of road use. Reshaping Procurement Strategies for Smaller Market Competitors: As major Tier 1 suppliers systematically lock down global chip capacity through long-term contracts, unaligned tier-two manufacturers and smaller tech providers face intense procurement constraints. Smaller market participants must adjust their corporate financial strategies, establishing their own long-term customer agreements to avoid being squeezed out of advanced components markets. Conclusion. "The next phase of automotive innovation will depend on the strength of the ecosystem behind it," stated Sanjay Mehrotra, Chairman, President and CEO of Micron Technology. The completion of these comprehensive Strategic Customer Agreements is a definitive reminder that long-term survival in the software-defined mobility era requires looking past individual software code blocks down to core physical silicon manufacturing. By pairing Micron's deep memory fabrication scale with the digital platform expertise of Qualcomm, HARMAN, and Hyundai Mobis, these industry leaders are delivering the foundational tools needed to make automated transit a real-world reality. For the automotive sector, this rollout outlines a clear operating principle for the road ahead: future market resilience belongs to highly cooperative, open ecosystems-sustaining global mobility on an absolute foundation of hardware precision, structural supply guarantees, and undeniable platform trust. Discover more Internet & Telecom Machine Learning & Artificial Intelligence Supply Chain
Astemo Americas joins NVIDIA DRIVE Hyperion ecosystem as Tier-1 partner for autonomous driving compute. Astemo Americas, Inc. has announced its collaboration with NVIDIA as a DRIVE Hyperion Tier-1 partner. The company will focus on developing electronic control units (ECUs) utilising dual NVIDIA DRIVE AGX Thor systems-on-a-chip (SoCs) to support the automotive industry's ongoing shift toward software-defined, Level 4-ready autonomous vehicles. NVIDIA DRIVE Hyperion serves as a production-ready reference architecture and ecosystem designed to help automakers streamline the deployment of highly automated and fully autonomous driving technologies. Astemo Americas' engineering integration focuses on building a dual-SoC compute engine capable of handling the severe data workloads required by next-generation vehicle platforms. The collaboration pairs specialised high-performance artificial intelligence (AI) computing with optimised thermal and power management. The partnership expands Astemo Americas' traditional footprint as a tier-one component supplier, shifting it into a primary integration partner for advanced autonomous system infrastructure. By combining its existing background in electric powertrains, active chassis systems and engine management with NVIDIA's AI processing units, the company aims to provide global automakers with scalable, production-ready central computing nodes that bridge the gap between experimental development and high-volume vehicle production. Mathieu Devillard, Executive Vice-President and Head of the Electrification Business Division, Astemo, said, "Astemo's electrification and software-defined vehicle capabilities are central to where mobility is headed. By joining the NVIDIA DRIVE Hyperion ecosystem, we can help accelerate the development of advanced autonomous vehicle technologies while supporting automakers with scalable, cost-effective solutions." Rishi Dhall, Vice-President - Automotive, NVIDIA, added, "As a DRIVE Hyperion Tier-1 ecosystem partner developing dual NVIDIA DRIVE AGX Thor ECUs for automotive OEMs, Astemo is helping bring scalable autonomous driving platforms closer to production."
Automotive supplier Astemo and Hitachi have agreed to jointly develop an AI platform for software-defined vehicles, targeting deployment by the end of fiscal 2026. The platform will accelerate development and validation of driver-assistance AI systems. Astemo will contribute vehicle-integrated control and AI technologies, whilst Hitachi will provide digital twin, confidential information protection and physical AI capabilities. The system will combine real-world driving data with synthetic data from digital twin simulations to shorten development cycles. The platform will incorporate factors including component degradation and performance variations for safety-oriented AI training. Astemo plans to offer the system as a common development environment for automakers and suppliers, with automated processes using Agentic AI. The companies intend to develop it as an open platform to visualise AI decision-making processes.
Hitachi and Astemo partner to develop AI platform for self-driving vehicles. Last updated: May 21, 2026 12:29 pm Hitachi Ltd and Astemo Ltd are collaborating on a new initiative to create advanced AI technologies for self-driving cars. It is another significant move that highlights Japan's increasing effort in the next-generation mobility innovation. This partnership is targeted at building a specialized AI development system for the self-driving vehicle by March 2027. Astemo, being a subsidiary of Honda Motor Co. will use its knowledge of vehicle control plus Hitachi's digital infrastructure skills to jointly work on the development of autonomous driving. The project is a sign of how Japanese automakers and tech companies are fortifying cooperation to take on the global autonomous mobility segment that is changing rapidly. AI becomes the core of future vehicle development. Indeed, the technology in question is one of the most recent among other advances that will impact the future of transportation. Autonomous cars utilize software powered by artificial intelligence that is able to evaluate large amounts of data obtained from sensors, evaluate road situations, predict possible risks and navigate the car in a safe manner. It is clear that the partnership between Hitachi and Astemo reveals understanding that implementing self-driving capabilities implies creating an AI infrastructure with a high level of complexity that allows combining numerous types of software, vehicle hardware, cloud computing and simulation systems into a productive development environment. The creation of the special AI platform by the two companies strives to improve the development process of the autonomous driving technology. Furthermore, such an agreement points at growing competitiveness of Japan in the sphere of AI and automotive innovations. Digital twin technology will play a central role. One of the most important components of the partnership involves Hitachi's digital twin technology. Virtual simulation could speed up autonomous development. Systems based on digital twin technology produce an extremely accurate digital replica of the environment around them, enabling developers to perform simulations for testing and operating complex situations virtually rather than physically implementing them. Within the self-driving vehicles industry, digital twin technology can assist engineers in replicating road conditions, traffic patterns, changes in weather, and driving behaviors at a large scale without having to perform such tests in the physical world. Such technological advancement enables quicker development while also making sure that proper safety testing is done. Given the complexity of autonomous technology and the need to train it in several million scenarios before deployment, digital twin technology has become crucial. Simulation-driven AI training might well be one of the biggest competitive advantages in the future autonomous mobility industry. Astemo brings advanced vehicle control expertise. Astemo is believed to provide smart car control technologies it has been perfecting through its automotive engineering business. They mainly focus on steering braking powertrain, and driver assistance technologies. These capabilities integrated with AI software can upgrade autonomous vehicle responses to ever-changing driving environments. Vehicle control systems are very important for self-driving cars as they determine how effectively AI decisions are implemented. As autonomous systems reach higher levels of driving automation, combining AI with real-time vehicle control technologies will become a key thing, experts say. Autonomous AI agents could transform automotive engineering. An additional important feature of the collaboration involves plans to utilize autonomous AI agents to automate certain steps in the development of the vehicles. AI agents moving beyond consumer uses. There has been an increase in the use of AI agents in corporate and industrial applications, with the objective of automating workflow, engineering operations, and software development. For automotive engineering, there is a potential role for AI agents to automate simulations, coding, tests, and other optimization work that usually involves considerable manpower from engineering teams. The incorporation of AI agents is indicative of the ongoing shift that is taking place in the business technology space within Japan towards generative AI and automation. Japan strengthens its position in the autonomous mobility race. The partnership between Hitachi and Astemo is timely as the race in autonomous driving technology among the world is heating up exponentially. American and Chinese firms are constantly putting in huge amounts of money in the development of AI-enabled mobility platforms robotaxis advanced driver assistance systems and autonomous logistics technologies. Lots of people all over the world associate Japan's car making industry with the qualities of excellent workmanship and engineering precision. Though, the move towards vehicles that are defined by software and mobility driven through artificial intelligence is changing the entire competitive scenario. In fact partnerships between industrial technology companies and automotive suppliers are progressively becoming not only a necessity but also an opportunity to enhance global competitiveness. Also, this partnership also highlights the increasing convergence of Japan's enterprise technology sector and the automotive industry as the car becomes more of an AI-powered computing platform. Software-Defined vehicles drive industry transformation. There is currently a major trend toward software-defined architecture in the global automotive industry. Modern vehicles rely on software technology to navigate, provide driving assistance, manage safety issues, establish connectivity, and perform other self-driving tasks. This is why car manufacturing businesses are increasingly making substantial investments in technologies related to AI infrastructure, cloud computing, simulation, and cyber security. The Hitachi-Astemo merger is a good example of such a trend because it takes into consideration not only hardware-based vehicles but also the necessary AI systems. In conclusion, automotive experts believe that software and AI will be critical competitive advantages in the future. Impact on Japan's technology and automotive industries. The collaboration could create ripple effects across Japan's broader technology and manufacturing ecosystems. AI infrastructure demand may increase. As autonomous vehicles become increasingly advanced, it is likely that there will be an increased need for computing infrastructure, AI training, cloud infrastructure, sensors, and cybersecurity solutions for automobiles. Edge computing companies, robot makers, semiconductor design firms, and industrial AI businesses could stand to gain from investments made in autonomous mobility infrastructure. The increased use of AI in vehicle development might also result in closer cooperation between Japanese automobile manufacturers, enterprise software companies, telecommunications businesses, and cloud infrastructure providers. Opportunities for AI and mobility startups. Japan's startup ecosystem might even get a boost from the rising attention to autonomous mobility technologies. Companies designing AI vision systems, autonomous navigation software, mobility analytics platforms and automotive simulation tools can expect to enjoy amplified investments as the autonomous vehicle sector continues to grow. Besides, shared AI platform development may open the door for small tech companies to plug their unique solutions into the bigger automotive ecosystems. The future of autonomous mobility in Japan. Japan has consistently invested in the development of driverless vehicle technologies within its larger smart mobility and industrial innovation strategy. For Japan, autonomous transport systems are seen as key to overcoming problems associated with labor shortages, aging populations, efficient logistics, and managing urban mobility. In this regard, the alliance between Hitachi and Astemo is not only a business venture but also a reflection of how Japan is placing artificial intelligence, simulation technologies, and automation at the forefront of its next-generation transport systems. With the continuing growth and development of driverless vehicles from experiments to commercial mobility solutions, alliances between companies specializing in AI and automobiles will likely become increasingly common.
Honda has increased its stake in Astemo, an automotive systems supplier, as part of a capital restructuring aimed at positioning the company for the software-defined vehicle era. The move will enhance collaboration between Honda and Astemo to integrate software and hardware across in-car systems and cloud engineering. Hitachi will continue supporting Astemo's AI and software development through digital technology expertise. The company plans to pursue an initial public offering whilst focusing on mobility electrification and AI-driven intelligence. Astemo employs over 80,000 people globally across the Americas, Asia, Europe and Japan, operating divisions for electrification, vehicles and motorcycles. The restructuring aims to establish Astemo as a leading provider of integrated vehicle systems rather than individual components.